Research projects

These 1000+ academic outputs from 420+ universities and other research organizations have been completed or are underway – including 230+ peer-reviewed publications, conference papers, post-graduate degrees and student projects.

Please send us your details if your project isn’t listed here. Your work might inspire others!

180 Degrees Consulting – University of New South Wales

• M Baquiran, T De Silva, D Kim, A Pati & E Tan, “Conjoint analysis project into pricing recommendation for non-profit coffee supplier”, Consulting project, 2019

Aalborg University

• A Hernández, A Roof, B Laurent et al “Sustainable port development – The Port of Aalborg case”, MSc (Environmental Management & Sustainable Science) project, 2012

Aarhus University

• E Jacobsen, N Strange & F Eriksen, “Multi-Criteria Decision Analysis of progress monitoring software solutions in the construction industry”, Civil and Architectural Engineering masters project, 2019

Aarhus University / SEGES Cattle / VikingGenetics

• M Slagboom, M Kargo, D Edwards et al (2016), “Organic and conventional dairy farmers prefer different improvements in breeding goal traits”, poster presentation, 67^th Annual Meeting of the European Association for Animal Production (EAAP), Belfast, UK, 2016
• M Slagboom, M Kargo, D Edwards et al (2016), “Preferences for breeding goal traits for Danish red and jersey cattle”, Book of Abstracts of the 67^th Annual Meeting of the European Association for Animal Production (EAAP), Belfast, UK, 2016
• M Slagboom, M Kargo, D Edwards et al (2016), “Organic dairy farmers put more emphasis on production traits than conventional farmers”, Journal of Dairy Science 99, 9845-56
• M Slagboom, M Kargo, D Edwards et al (2016), “Herd characteristics influence farmers’ preferences for trait improvements in Danish Red and Danish Jersey cows”, Acta Agriculturae Scandinavica, Section A – Animal Science 66, 177-82
• M Slagboom, M Kargo, D Edwards et al, “Organic dairy farmers put more emphasis on production traits than conventional farmers”, Keynote presentation, Nordic Workshop on Dairy Cattle Genetics and Genomics, Copenhagen, Denmark, 2016

Aarhus University / Swedish University of Agricultural Sciences

• M Slagboom, “Quantifying the value of genetically specific organic lines within dairy breeding”, PhD, 2015-

AbacusBio / Irish Cattle Breeding Federation / DairyNZ / Dairy Australia / Beef + Lamb New Zealand / Alliance Group / University of New England / La Trobe University

• P Fennessy N Jopson & S Norton, “Deer intervention study”, Johne’s Disease Research Consortium, 2008-2016 Research and Development Record, 2016
• T Byrne, B Santos, P Amer et al (2016), “New breeding objectives and selection indexes for the Australian dairy industry”, Journal of Dairy Science 99, 8146-67
• D Martin-Collado, T Byrne, P Amer et al (2015), “Analyzing hidden patterns of farmers’ preferences for farm performance characteristics that may be related to tail-docking practice decisions”, NZSAP 2015 Conference, Dunedin, New Zealand, Proceedings of the New Zealand Society of Animal Production 75, 205-9
• D Martin-Collado, T Byrne, P Amer et al (2015), “Analyzing the heterogeneity of farmers’ preferences for improvements in dairy cow traits using farmer typologies”, Journal of Dairy Science 96, 4148-61
• J Kerslake, T Byrne , M Behrent, G MacLennan & D Martin-Collado (2015), “The reasons farmers choose to dock lamb tails to certain lengths, or leave them intact”, NZSAP 2015 Conference, Dunedin, New Zealand, Proceedings of the New Zealand Society of Animal Production 75, 210-14
• T Byrne, D Martin-Collado, B Santos et al “A review of the national breeding objective and selection indexes for the Australian dairy industry”, 21^st Conference of the Association for the Advancement of Animal Breeding and Genetics, Lorne, Australia, 2015
• K Smith & P Fennessy (2014), “Utilizing conjoint analysis to develop breeding objectives for the improvement of pasture species for contrasting environments when the relative values of individual traits are difficult to assess”, Sustainable Agriculture Research 3, 44-55
• K Smith, C Ludemann, C Lewis et al(2014), “Estimating the value of genetic gain in perennial pastures with emphasis on temperate species”, Crop & Pasture Science 65, 1230-37
• M Axford & J Pryce on behalf of the National Breeding Objective Task Force, National Breeding Objective – Interim Report, 18 August 2014
• H Nielsen, P Amer & T Byrne (2014), “Approaches to formulating practical breeding objectives for animal production systems”, Acta Agriculturae Scandinavica, Section A – Animal Science 64, 2-12

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ACR-EULAR Working Group on Definitive Classification Criteria for Sjögren’s Syndrome

• C Shiboski, S Shiboski, R Seror et al and the International Working Group on SS Classification Criteria (2017), “2016 American College of Rheumatology/European League Against Rheumatism: Classification Criteria for primary Sjögren’s Syndrome: A consensus and data-driven methodology involving three international patient cohorts”, Annals of Rheumatic Diseases 76, 9-16
• C Shiboski, S Shiboski, R Seror et al and the International Working Group on SS Classification Criteria (2017), “2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for primary Sjögren’s Syndrome: A consensus and data-driven methodology involving three international patient cohorts”, Arthritis & Rheumatology 69, 35-45
• Shiboski S, Shiboski C, Criswell L, Mariette X, Seror R, Bowman S, Vitali C et al, “Definitive classification criteria for Sjögren’s Syndrome”, international research project, 2013-17

AgriBio, Centre for AgriBioscience / La Trobe University / DataGene

• J Pryce, T Nguyen, M Axford, G Nieuwhof & M Shaffer (2018), “Symposium review: Building a better cow – The Australian experience and future perspectives”, Journal of Dairy Science 101, 3702-13

Alagappa University

• S Thanuskodi (2020), “Use of digital resources among social scientists: an evaluative study”, Chapter 1 In: Challenges and Opportunities of Open Educational Resources Management, pp. 1-23, IGI Global

Allameh Tabataba'i University

• H Farzani, “Multi-index performance ranking model of banks and credit institutions in Iran”, PhD (Accounting) thesis, 2019-20

Alpen-Adria-Universität Klagenfurt / University of Waterloo

• N Grima, S Singh & B Smetschka (2017), “Decision making in a complex world: Using OPTamos in a multi-criteria process for land management in the Cuitzmala watershed in Mexico”, Land Use Policy 67, 73-85

American College of Rheumatology (ACR) / European League Against Rheumatism (EULAR)

• K Quinn, S Monti, R Christensen et al (2021), “Developing a composite outcome tool to measure response to treatment in anca-associated vasculitis: A mixed methods study from OMERACT 2020”, Seminars in Arthritis and Rheumatism, early online version
• M Aringer, N Leuchten & S Johnson (2020), “New criteria for Lupus”, Current Rheumatology Reports 22, 1-8
• M Aringer, C Costenbader, D Daikh, et al (2019), “2019 European League Against Rheumatism/American College of Rheumatology classification criteria for systemic lupus erythematosus”, Arthritis & Rheumatology 71, 1400-12
• Z Wallace, R Naden, S Chari et al (2019), “The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4‐Related Disease”, Arthritis & Rheumatology, early online version
• L Rider, R Aggarwal, P Machado et al (2018), “Update on outcome assessment in myositis”, Nature Reviews Rheumatology 14, 303-18
• L Rider, N Ruperto, R Aggarwal et al (2017), “2016 ACR-EULAR adult dermatomyositis and polymyositis and juvenile dermatomyositis response criteria – methodological aspects”, Rheumatology 65, 1884-93
• L Rider, R Aggarwal, A Pistorio et al for the International Myositis Assessment and Clinical Studies Group and the Paediatric Rheumatology International Trials Organization (2017), “American College of Rheumatology/European League Against Rheumatism criteria for minimal, moderate, and major clinical response in juvenile dermatomyositis”, Annals of the Rheumatic Diseases 76, 782-91 News »
• L Rider, R Aggarwal, A Pistorio et al for the International Myositis Assessment and Clinical Studies Group and the Paediatric Rheumatology International Trials Organization (2017), “2016 American College of Rheumatology/European League Against Rheumatism Criteria for minimal, moderate, and major clinical response in juvenile dermatomyositis: An International Myositis Assessment and Clinical Studies Group/Paediatric Rheumatology International Trials Organization Collaborative Initiative”, Arthritis & Rheumatology 69, 911-23 News »
• R Aggarwal, L Rider, N Ruperto et al for the International Myositis Assessment and Clinical Studies Group and the Paediatric Rheumatology International Trials Organization (2017), “2016 American College of Rheumatology/European League Against Rheumatism criteria for minimal, moderate, and major clinical response in adult dermatomyositis and polymyositis”, Annals of the Rheumatic Diseases 76, 792-801 News »
• R Aggarwal, L Rider, N Ruperto et al for the International Myositis Assessment and Clinical Studies Group and the Paediatric Rheumatology International Trials Organization (2017), “2016 American College of Rheumatology/European League Against Rheumatism criteria for minimal, moderate, and major clinical response in adult dermatomyositis and polymyositis: An International Myositis Assessment and Clinical Studies Group/Paediatric Rheumatology International Trials Organization Collaborative Initiative”, Arthritis & Rheumatology 69, 898-910 News »

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American University of Beirut

• F Mansour, “Multi-criteria approach for the selection of water, energy, food nexus decision-making tool,” PhD (Civil and Environmental Engineering) thesis, 2018-23

Antwerp Management School

• J Geldtmeijer, “IT portfollio of the Dutch Customs prioritized on a decision-making model”, Master of Science Education thesis, 2015-

Armenian State University of Economics

• S Hambaryan, “Functionalities of 1000minds as a Decision Support System”, Masters (Management Information Systems), 2017
• E Aghababyan, “Supply chain management systems“, Master of E-Business thesis, 2015

Auckland District Health Board

• H de Lautour, W Taylor, A Adebajo et al (2016), “Development of preliminary remission criteria for gout using Delphi and 1000minds® consensus exercises”, Arthritis Care & Research 68, 667-72
• H de Lautour, N Dalbeth & W Taylor (2014), “Development of preliminary remission criteria for gout using Delphi and 1000minds consensus exercises”, abstract, 2014 ACR/ARHP Annual Meeting, Boston, USA, 2014, Arthritis & Rheumatology 66(suppl), S68

Australian and New Zealand Musculoskeletal Clinical Trials Network

• W Taylor, R Buchbinder, I Harris et al, “The relative importance of musculoskeletal research questions”, 2017

Australian National University

• L Porfirio, “Prioritizing ecosystem services in land use/cover change scenarios for the Australian Capital Region”, PhD (Environment-Society Systems) thesis, 2011
• Q Grafton, “Implementing harvest transition paths to BMEY (biomass providing maximum sustainable economic yield) in Commonwealth fisheries”, 2008
• J Drysdale, “Sustainable development or resource cursed? An exploration of Timor-Leste’s institutional choices”, PhD (Environmental Science) thesis, 2007

Baker College of Muskegon

• A Cline, “Which model of a Chevy Equinox should I purchase?”, Business Analytics project, 2016
• A Devereaux, “Which cat would be perfect for me”, Business Analytics project, 2016
• A Fleming, “Should I buy a house?”, Business Analytics project, 2016
• A Leonard, “Where should I live in Houston, TX?”, Business Analytics project, 2016
• A Thompson, “What is my best investment opportunity”, Business Analytics project, 2016
• B Guenthardt, “What should be my vacation destination for 2016?”, Business Analytics project, 2016
• C Budzinskiy, “Which small house plan is best for our family”, Business Analytics project, 2016
• C Tomberlin, “Which internship should I pick?”, Business Analytics project, 2016
• C Wisman, “Where to go on vacation?”, Business Analytics project, 2016
• D Foreman, “Which car should I purchase”, Business Analytics project, 2016

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Bioversity International

• J Steinke & J van Etten (2017), “Gamification of farmer-participatory priority setting in plant breeding: Design and validation of “AgroDuos”, Journal of Crop Improvement 31, 356-78

Boston University

• A Vargas-Santos, W Taylor & T Neogi (2016), "Gout classification criteria: Update and implications", Current Rheumatology Reports 18, 1-10

Brazilian Institute of Capital Markets

• C Terra, “Pooled analysis of relevant attributes for online fashion shopping”, Masters thesis (Marketing), 2015-16

Brook Lyndhurst

• J Bain, J Cox, G King & G Williams, “Priorities of large businesses and the public sector for second hand EEE and textiles”, research project, 2014

Bucharest Academy of Economic Studies

• A Popa, “The efficiency of Integrated Marketing Communication programs for FMCG”, PhD thesis, 2014

Budapest University of Technology & Economics

• D Bella, “The effects of telework on job productivity considering task preferences of employees”, MA (Psychology) thesis, 2015-

Canterbury District Health Board / Counties Manakau District Health Board

• R Hunter, N Buckley, E Fitzgerald, A MacCormick & T Eglinton (2018), “General Surgery Prioritization Tool: a pilot study”, ANZ Journal of Surgery 88, 1279-83

Centre Hospitalier Universitaire de Brest

• A Saraux, G Tobon, S Jousse-Joulin & V Devauchelle-Pensec (2010), “Les critères de classification et/ou de prédiction de la polyarthrite rhumatoïde”, Rhumatisme Monographies 77, 12-16

CGIAR

• M Ragot, M Bonierbale & E Weltzien (2018), “From market demand to breeding decisions: A framework”, CGIAR Gender and Breeding Initiative Working Paper 2

Charles Sturt University

• D McGill, H Mulder, P Thomson & J Lievaart, “Deriving breeding objectives for Sahiwal cattle in Pakistan – assessing the difference in perspectives of farmers, breeders and advisors”, 2013

College of Advanced Management Studies

• E Renneberg, “Consumer preferences for wine attributes in Colombia”, Masters in Marketing Direction thesis, 2018-19

Colorado State University-Pueblo

• D Montoya, “What matters for your first job after college: salary and work-life trade-offs”, Intermediate Microeconomics project, 2021
• G Simalumba, “What types of schools do Zambian parents prefer?”, Intermediate Microeconomics project, 2021
• I Kahler, C Lathrop & S Mitchell “The importance of rent, location and safety for college student housing”, Intermediate Microeconomics project, 2021
• J Kottenstett & J Williams, “Which do students prefer: more tests versus homework or more weight on tests versus more weight on homework?”, Intermediate Microeconomics project, 2021
• J Lamb, “Does size (or price and pixels) matter most for a college student TV?”, Intermediate Microeconomics project, 2021
• J Pacheco & C Uhrick, “These duds will hunt: How hunters rank clothing quality, prices, and guarantees”, Intermediate Microeconomics project, 2021
• M Rudder, “These boots are made for fashion, but price and maintenance also matter”, Intermediate Microeconomics project, 2021
• N Storm, “Investing platform rankings: How important are stock and crypto options for young investors?”, Intermediate Microeconomics project, 2021
• S Martinez & A Marmolejo, “College student rankings for sweating on machines, free weights, or in classes at the gym”, Intermediate Microeconomics project, 2021
• T Berriman, “What features matter in a car that will get your through college”, Intermediate Microeconomics project, 2021

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Concordia University

• A Moursi, “Priority assessment model for water distribution networks”, MASc (Building Engineering), 2015-16

Cornell University

• H Tufan, U Ikeogu, J-L Jannink & C Egesi, “1000minds – Economic weights for gendered traits?”, GBI World Café Poster 2.3, CGIAR Gender and Breeding Initiative. Innovation in Gender-Responsive Breeding: Workshop Report, Nairobi, Kenya, 2017, p 67

Corvinus University of Budapest

• A Beregszászi, “Future changes in Hungarian cigarette brand equity”, BA (Marketing) thesis, 2016

Cranfield University

• M Yahaya, “Risk evaluation of oil pillage in offshore energy”, MSc Offshore & Ocean Technology with Subsea Engineering thesis, 2015
• S Osinowo, “Topsides and pipeline facilities decommissioning”, MSc Offshore & Ocean Technology with Subsea Engineering thesis, 2015

CSIRO Agriculture and Food / Angus Australia

• A Bell, A Byrne, C Duff & S Dominik (2019), “A survey approach to explore industry priorities for novel traits in Australian Angus”, 23^rd Association for the Advancement of Animal Breeding and Genetics (AAABG) Conference 2019, Armidale, Australia, Proceedings of the AAABG 23^rd Conference 23, 508-11 

CSIRO Ecosystem Sciences / Universidad de Buenos Aires

• P Graff & S McIntyre (2014), “Using ecological attributes as criteria for the selection of plant species under three restoration scenarios”, Austral Ecology 39, 907-17

Danish Technological Institute / Technical Research Centre of Finland

• L Dalgaard (2014), “Technology assessment in robotic systems design using PAPRIKA”, Proceedings of the 7th International Conference on Human Systems Interaction, Lisbon, Portugal, 2014
• L Dalgaard, T Heikkilä & J Koskinen (2014), “The R3-COP decision support framework for autonomous robotic system design”, Proceedings of the joint 45th International Symposium on Robotics and 8th German Conference on Robotics (ISR-Robotik 2014), München, Germany, 2014
• T Heikkilä, L Dalgaard & J Koskinen (2013), “Designing Autonomous Robot Systems – Evaluation of the R3-COP Decision Support System approach”, Proceedings of the ERCIM/EWICS Workshop on Dependable Embedded and Cyber-physical Systems (DECS’13) at the 32nd International Conference on Computer Safety, Reliability & Security (SAFECOMP 2013), Toulouse, France, 2013
• T Heikkilä, L Dalgaard & J Koskinen (2013), “Decision support for designing autonomous robot systems”, Proceedings of AutomaatioXX. Automation and Systems without Borders – Beyond Future, Helsinki, Finland, 2013

De Montfort University

• S Schlick, “Linking competitor intelligence with Strategic Decision-Making (SDM) through Decision Support Systems (DSS)”, PhD thesis, 2011-

Delft University of Technology

• R Pelgrim, “Methodology to determine the intersection layout by traffic safety and throughput”, MSc (Transport, Infrastructure and Logistics) thesis, 2020

Diakonhjemmet Hospital / Hospital for Special Surgery

• M Mjaavatten & V Bykerk (2013), “Early rheumatoid arthritis: The performance of the 2010 ACR/EULAR criteria for diagnosing RA”, Best Practice & Research Clinical Rheumatology 27, 251-6

Dokuz Eylül University

• B Özbent, E İlhan & O Kaya, “Exploring the PAPRIKA method in light of conjoint data collection approaches”, MSc (Industrial Engineering) project, 2014
• S Gezmen, “Evaluation of e-commerce websites with multiple criteria via hierarchical conjoint analysis”, BSc (Industrial Engineering) project, 2014

Dublin Institute of Technology

• L Lee, “Creating a field GIS to survey derelict sites and dangerous structures”, MSc, 2017

Dunedin City Council

• A Christofferson, “Housing choice in Dunedin”, City Planning, District Plan Monitoring Series, Research Report 2007/1, Dunedin City Council, 2007

Eastern Virginia Medical School

• N Heitkamp, T Bono, S Mathur & P Mendez, “The impact of social media on decision-making during pediatric residency recruitment,” 2021

Egypt-Japan University of Science and Technology

• Y Elkhayat, “A feasibility study of high-performance facades for office buildings in the new administrative capital of Egypt”, PhD thesis, 2017-20
• A Elkhelaly, “Sustainable reuse of agricultural drainage water in irrigation”, PhD thesis, 2015

Erasmus University Rotterdam

• N Braun, “Matrix4value decision support tool for competition health technologies in the Elisabeth Hospital of Tilburg”, MSc (Health Economics, Policy and Law) thesis, 2016

ESCP Business School

• G Petito, “Valuation of holiday trip composition according to number of cities visited, activities and housing type”, MSc (International Sales Management) project, 2020

Eskişehir Technical University

• A Baydar, “Vendor selection methods”, Masters dissertation, 2020

European Centre for Disease Prevention and Control

• European Centre for Disease Prevention and Control (2017), ECDC Tool for the Prioritization of Infectious Disease Threats – Handbook and Manual, ECDC

Faculty of Information Studies, Novo mesto / Institute Jožef Stefan

• A Stipeč & B Boshkoska (2021), “Comparison of AHP, PAPRICA, PROMETHEE, DEX and TOPSIS on an application for employee selection”, International Conference on Decision Support System Technology, Loughborough, United Kingdom, In: U Jayawickrama, P Delias, M Escobar & J Papathanasiou (editors), Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management, Lecture Notes in Business Information Processing 414, 44-54

Federal University of Amazonas

• JC Magnani, “Modeling of the preferences of bus users in Manaus using stated-preference techniques”, Graduate degree in Traffic Engineering thesis, 2016

Federal University of Pará

• P Palitot, “Decision model to choose the ideal vessel for passenger transportation in Amazonia”, Masters in Naval Engineering, 2017-

Federal University of Rio de Janeiro / Sao Paulo State University

• R Souza, “Sustainability assessment for Multicriteria prioritization of e-waste management options in Brazil”, research project, 2015-

Federico Santa María Technical University

• N Vidal Cordero, “Análisis estratégico del mercado de tutores y estrategia de markenting para el crecimiento de SoyProfe.cl” (“Strategic analysis of the market of guardians and marketing strategy for the growth of SoyProfe.cl”), Bachelor of Industrial Engineering (BIE) thesis, 2017

Finnish Environment Institute

• J Mustajoki & M Marttunen (2017), “Comparison of multi-criteria decision analytical software for supporting environmental planning processes”, Environmental Modelling & Software 93, 78-91
• J Mustajoki & M Marttunen, “Comparison of multi-criteria decision analytical software – Searching for ideas for developing a new EIA-specific multi-criteria software”, IMPERIA Project Report, 2013

Flip the Fleet

• H Moller, D Myall & D Ivanov (2018), “Rapid chargers for battery electric vehicles in New Zealand: current use, access and location preferences”, Flip The Fleet Research Report No. 3

FOM Hochschule für Oekonomie & Management

• A Knecht, “Investigating consumers‘ purchase decision factors for electric cars using multivariate conjoint analysis”, Masters thesis (Business Psychology), 2016

Friedrich-Schiller University of Jena

• J Ruhland (2006), “Strategic mobilization: What strategic management can learn from social movement research”, Management 11, 23-31
• S Freund, “Kundenbewertung im strategischen issue management”, PhD (Marketing) thesis, 2006
• S Freund, “Measuring medium-term customer value through conjoint analysis”, 2005

G. Gaslini Institute

• M Finetti & M Gattorno (2019), “The role of international registries for rare autoinflammatory diseases”, Chapter 14, In: P Hashkes, R Laxer & A Simon (editors), Textbook of Autoinflammation, Springer

Georges Pompidou European Hospital

• N Martelli, P Hansen, H van den Brink et al (2016), “Combining multi-criteria decision analysis and mini-health technology assessment: A funding decision-support tool for medical devices in a university hospital setting”, Journal of Biomedical Informatics 59, 201-08

Gertner Institute / Israel Ministry of Health

• O Golan & P Hansen (2012), “Which health technologies should be funded? A prioritization framework based explicitly on value for money”, Israel Journal of Health Policy Research 1, 44 News »
• O Golan, P Hansen, G Kaplan & O Tal (2011), “Health technology prioritization: Which criteria for prioritizing new technologies and what are their relative weights?” Health Policy 102, 126-35
• O Golan & P Hansen, “A new decision-support framework for prioritization of new health technologies: the ‘Value for Money’ Chart”, 8^th Biennial Conference of the International Society on Priorities in Health Care, Boston, USA, 2010
• O Golan, “A decision-support tool for prioritization of new health technologies: The ‘Value for Money’ Chart”, 8^th Annual Health Policy Conference, Israel, 2010
• O Tal & O Golan, “Criteria for priority setting in health – Are there universal criteria for allocating resources for publicly funded healthcare?”, 7^th Annual Health Policy Conference, Tel Aviv, Israel, 2008

Goethe University Frankfurt

• T Degenhardt, J Schröder, E Marcillat & L Goerigk, “Improvement of decision making in industrial procurement and sales processes”, MBA Global Consulting Project, 2011

Guru Nanak Dev University

• D Kalra & M Birdi (2015), “Differentiating algorithms of cloud task scheduling based on various parameters”, IOSR Journal of Computer Engineering, 17, 35-38

Hackensack University Medical Center

• S Li, R Fuhlbrigge, R Laxer et al (2019), “Developing comparative effectiveness studies for a rare, understudied pediatric disease: lessons learned from the CARRA juvenile localized scleroderma consensus treatment plan pilot study”, Pediatric Rheumatology 17, 43

Harbin Medical University

• S Guan, “Developing strategic priorities in proceedings and recommendations of Chinese osteoarthritis research”, MSc, 2016

Harbin Medical University / University of Sydney

• Y Mei, S Guan, H Zhang et al (2018), abstract, 2018 OARSI World Congress on Osteoarthritis, Liverpool, UK, 2018, “Priorities for osteoarthritis research in China”, Osteoarthritis & Cartilage 26(suppl 1), S220
• Y Mei, S Guan, H Zhang, D Hunter, Z Zhang (2018), abstract, Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, The Netherlands, 2018, “Priorities for osteoarthritis research should be done in China”, Annals of the Rheumatic Diseases 77(suppl 2), 1613

Harvard University

• S Tedeschi, S Johnson, D Boumpas et al (2019), “Multicriteria decision analysis process to develop new classification criteria for systemic lupus erythematosus”, Annals of the Rheumatic Diseases 78, 634-40
• E Miloslavsky, R Naden, J Bijlsma et al (2017), “Development of a Glucocorticoid Toxicity Index (GTI) using multicriteria decision analysis”, Annals of the Rheumatic Diseases 76, 543-46
• S Tedeschi, S Johnson, D Boumpas et al (2017), “Multicriteria decision analysis for developing new classification criteria for systemic lupus erythematosus”, oral presentation, Annual European Congress of Rheumatology, Madrid, Spain, 2017, Annals of the Rheumatic Diseases 76(suppl2), 50 News »

Hasselt University

• J Moll, “Customer preferences of video on demand users in Germany”, MSc (Management-International Marketing Strategy) thesis, 2016

Hawke's Bay District Health Board

• J Blackett, A Carslaw, D Lees et al (2014), “Rationing for total hip and knee replacement using the New Zealand Orthopaedic Association (NZOA) score: Effectiveness and comparison with patient reported scores”, New Zealand Medical Journal (Online), 127, 45-53

Hebrew University of Jerusalem

• A Shmueli (2017), “Do the equity-efficiency preferences of the Israeli Basket Committee match those of Israeli health policy makers?”, Israel Journal of Health Policy Research 6, 20
• A Shmueli, O Golan, F Paolucci & E Mentzakis (2017), “Efficiency and equity considerations in the preferences of health policymakers in Israel”, Israel Journal of Health Policy Research 6, 18

Ho Chi Minh City University of Science

• NN Lam, “Recommender systems and data mining with weighting methods”, research project, 2015

Hochschule Worms, University of Applied Sciences

• C Braun, “Marketing with voice assistants. An investigation of the tone of voice using the example of low involvement and high involvement products”, Masters in International Management thesis, 2021

Hospital Lucus Augusti / University Hospital of Salamanca / Hospital Universitario Doctor Peset ... Hospital de Laredo / Instituto de Salud Musculoesquelética / Hospital Universitario Son Espase

• L de Llano, I Dávila, E Martínez-Moragón et al (2021), “Development of a tool to measure the clinical response to biologic therapy in uncontrolled severe asthma: the FEOS score” The Journal of Allergy and Clinical Immunology: In Practice, early online version

Hospital Sant Joan de Déu / Instituto de Salud Musculoesquelética / Spanish Society of Paediatric Rheumatology

• J Antón & L Carmona, “Definition of a profile for safe and effective down-titration of biologics in children with rheumatic diseases”, 2017

Hospital Universitario Lucus Augusti / Instituto de Salud Musculoesquelética

• L Perez de Llano, I Davila, E Martinez-Moragon et al (2020), “Development of a tool to measure the clinical response to biologic therapy in uncontrolled severe asthma: the FEOS score?”

HTW Berlin – Berlin University of Applied Sciences

• T Sauermann, “Product specification of plant-based supplements for an improved market entry into China”, Bachelor of Arts in Digital Business thesis, 2020
• S Patwardhan, “Analyzing manufacturing excellence goals vs. current state of Indian auto component manufacturers to identify adoption sequence of MESA specified manufacturing execution capabilities”, Master of Business Administration and Engineering (Automotive Management) thesis, 2016

Indian Institute of Management Kozhikode

• A Chouhan, “Decision-making using IT and some decision-making tools”, MBA presentation, 2014

Indian Institute of Management Raipur

• R Jana, C Prakash & A Tiwari (2019), “Humanitarian aid delivery decisions during the early recovery phase of disaster using a discrete choice multi-attribute value method”, Annals of Operations Research 283, 1211-25

Indian Institute of Technology Delhi

• M Gupta, J Madaan & H Kumar (2018), “Adopting sustainable manufacturing: the case of Indian SMEs in electronics manufacturing industries”, EconModels.com

Indian Institute of Technology Kanpur

• R Sengupta (2016), “Other decision-making models”, Chapter 5, In: Decision Sciences: Theory and Practice, CRC Press

Institute of Rheumatology

• J Vencovsky on behalf of ACR-EULAR Myositis Response Criteria Project (2015), “New ACR/EULAR response criteria for myositis”, abstract, 2015 EULAR Annual European Congress of Rheumatology, Rome, Italy, 2015, Annals of the Rheumatic Diseases 74(suppl2), 42-43

Institute of Rheumatology / Medical University of Białystok

• E Stanisławska-Biernat, M Sierakowska & S Sierakowski (2010), “Recommendations for diagnosis and treatment. New rheumatoid arthritis classification criteria”, Reumatologia 48, 361-65

Instituto Politécnico Nacional / Aquainnovo

• F Vergara-Solana, M Araneda & G Ponce-Díaz (2019), “Opportunities for strengthening aquaculture industry through multicriteria decision-making”, Reviews in Aquaculture 11, 105-18

Instituto Superior Técnico / Portugal Foundation for Science & Technology

• F Moura, P Cambra & A Gonçalves (2017), “Measuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon”, Landscape and Urban Planning 157, 282-96
• A Gonçalves, F Moura, P Cambra & S Correia, “IAAPE (Indicadores de Atractividade e Acessibilidade PEdonal) project”, 2014
• F Moura, P Cambra & A Gonçalves, “IAAPE – Pedestrian accessibility and attractiveness assessment tool when planning for walkability”, CITTA 7th Annual Conference & COST TU1002 Final Conference, Oporto, Portugal, 2014
• P Cambra, “Indicators of walking accessibility and attractiveness – development of a GIS framework”, MSc (Urban Planning), 2012

International Academy of Health Preference Research

• R Norman, B Craig, P Hansen et al (2019), “Issues in the design of discrete choice experiments”, The Patient – Patient-Centered Outcomes Research 12, 281-85

International Institute of Information Technology, Hyderabad / Utrecht University

• S Aggarwal, “Assessment and process automation of two success factors for websites: Usability and credibility”, MSc (Computer Science) thesis, 2014
• S Aggarwal, H Van Oostendorp, Y Reddy & B Indurkhya (2014), “Providing web credibility assessment support”, Proceedings of the 2014 European Conference on Cognitive Ergonomics, Vienna, Austria, 2014
• S Aggarwal & H Van Oostendorp (2011), “An attempt to automate the process of source evaluation”, ACEEE International Journal on Communication 2, 18-20
• S Aggarwal & H Van Oostendorp (2011), “An attempt to automate the process of source evaluation”, International Conference on Advances in Computer Engineering, Trivandrum, 2011, ACE Proceedings 2011, 49-51

Iowa State University

• M Miller & D Gransberg (2017), “Measuring users’ impact to support economic growth through transportation asset management planning”, International Journal of Public Policy 14, 1-26

Istanbul Technical University

• F Bolat, “Multi-Criteria Decision Analysis of network analysis of ship movements in Istanbul”, research project, 2018-19

Jagadguru Sri Shivarathreeswara University

• N George, “Hospital-based HTA assessment of drugs and medical devices in cardiology”, PhD, 2017-

Jaypee Institute of Information Technology

• H Bansal, P Shukla & M Dhar (2018), “Trust and Credibility Analysis of Websites: Role of trust and credibility in evaluating online content”, Chapter 13, In: H Bansal, G Shrivastava, G Nguyen, L-M Stanciu, Social Network Analytics for Contemporary Business Organizations, IGI Global, pp 259-86

Johne’s Management Ltd

• S Norton S, J Hunnam J, K Goodwin Ray, P Wilson & C Heuer, “Validating a national slaughterhouse surveillance database for Johne’s disease against on-farm disease severity in farmed deer in New Zealand”, abstract, p. 149, In: Proceedings of the 12^th International Colloquium on Paratuberculosis, Parma, Italy, 2014

Joseph M Sanzari Children’s Hospital

• S Li, M Becker, F Dedeoglu et al, “Developing a Localized Scleroderma Damage measure: Identifying the values for different morbidities”, research project, 2013-14

K. Satpayev Kazakh National Technical University

• U Baizyldayeva, O Vlasov, A Kuandykov & T Akhmetov (2013), “Multi-criteria decision support systems. Comparative analysis”, Middle-East Journal of Scientific Research 16, 1725-30

Karunya University

• H Lawrence & S Silas (2013), “Efficient Qos based resource scheduling using PAPRIKA method for cloud computing”, International Journal of Engineering Science & Technology 5, 638-43

Kenya Agricultural and Livestock Research Organization / Nnamdi Azikiwe University / Kenya Biogas Programme / Pwani University

• S Mailu, U Nwogwugwu, K Kinusu et al (2019), “What are the essential qualities of domestic biogas plants? Selecting attributes for a discrete choice experiment”, 6^th African Conference of Agricultural Economists, Abuja, Nigeria, 2019

Kiev Polytechnic Institute

• V Protsko, “Possibilities of bio fuel use to increase energy efficiency level at small and medium agricultural enterprises of Ukraine”, MSc, 2014

King Abdulaziz University

• S Gafar (2018), “Decision support top software products: A review”, Engineering and Technology Journal 3, 416-20

Korea Advanced Institute of Science & Technology

• H Ji-yeon (2014), “The systematization of waste landfill site selection process utilizing GIS”, Korea Geospatial Information Science 22, 21-30

Kōtātā Insight

• C Carter, M Frieling & C Smith, “Estimating the value of culture”, research project, 2019-20

Kristiania University College

• A Blaaflat, “When the talk is easy but the walk is hard: An empirical study of the attitude-bahavior gap in social responsible consumerism and the moderation of social desirability bias”, PhD thesis, 2019-

KU Leuven

• E Derache, “Introducing cobots in a manual assembly process”, MSc in Mechanical Engineering thesis, 2017

KU Leuven / Lund University

• A Mahmoudian, S Lohmander, M Englund, P Hansen, F Luyten & International Early-stage Knee OA Classification Criteria Expert Panel (2021), abstract, 2021 OARSI Virtual World Congress on Osteoarthritis: OARSI Connect ‘21, “Lack of agreement in experts’ classification of patients with early-stage knee osteoarthritis”, Osteoarthritis and Cartilage 29, S299-S300

Kumari Mayawati Government Girls Degree College

• R Jain, “Trade-off between cost and resilience: A Multi-Objective Hybrid Approach”, research project, 2013

Latin American Federation of Pharmaceutical Industry (FIFARMA)

• J Drake, J Carlos T de Hart, C Monleón, W Toro & J Valentim (2017), “Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016”, Journal of Market Access & Health Policy 5, 1360545

Laurentian University

• A Boulay, “Evaluation of a team or collaborative Human-Computer Interface for 3D virtual reality and online multi-player systems”, MSc (Computational Sciences), 2015
• G Crozier & A Schulte-Hostedde (2014), “Towards improving the ethics of ecological research”, Science and Engineering Ethics, 1-18

Liberty University

• C McGrady, J Guagliardi & J Kim, “Liberty University Standardized Decision-Making Process”, senior capstone project, 2019

Lincoln University

• J Whitehead, “Prioritizing sustainability indicators and initiatives using choice modelling: Wine case study”, powerpoint presentation for stakeholder workshop, 6 August 2015

Linnaeus University

• M Jalili, “Analyze Mobile Device Management Criteria”, BSc thesis, 2014

London School of Economics

• J Candeto, “What kind of SmartMob? A strategic MCDA approach to selecting software features for a Knowledge Management and Decision Support System”, MSc (Management Science) dissertation, 2012

Lyceum of the Philippines University

• S Andin, “Managing the waiting time: A new method of prioritization of elective valve surgery patients at the Philippine Heart Centre”, Master of Public Administration thesis, 2015

Manipal Academy of Higher Education

• K Sumukh, “Choice of fine dining: A discrete choice model”, Masters (Hotel Management) thesis, 2021
• N Alinkeel, “Indian women consumer preferences for wine attributes”, Masters (Hospitality and Tourism Management) thesis, 2019-20
• S Piramanayagam, P Seal & J Romão, “A community-based branding strategy for wellness tourism in Kerala”, 2019-20

Marche Polytechnic University

• A Mancini, E Frontoni & P Zingaretti (2015), “Embedded multisensor system for safe point-to-point navigation of impaired users”, IEEE Transactions on Intelligent Transportation Systems, 16, 3543-55
• A Mancini & A Benini, “ Decision Support System for the design of cooperative unmanned systems”, 2013

Marche Polytechnic University / Italian Institute of Technology / Uppsala University

• L Romeo, J Loncarski, M Paolanti et al (2020), “Machine learning-based design support system for the prediction of heterogeneous machine parameters in Industry 4.0”, Expert Systems with Applications 140, 1128691

Marquette University / Northwestern University / Albert Einstein College of Medicine / University of Chicago / New York University

• D Pinto, S Prabhakaran, E Tipton & A Naidech (2020), “Why physicians prescribe prophylactic seizure medications after intracerebral hemorrhage: An adaptive conjoint analysis”, Journal of Stroke and Cerebrovascular Diseases 29, 104628
• A Liberman, D Pinto, S Rostanski et al (2019), “Clinical decision-making for thrombolysis of acute minor stroke using adaptive conjoint analysis”, The Neurohospitalist 9, 9-14
• D Pinto, U Bockenholt, J Lee et al (2019), “Preferences for physical activity: A conjoint analysis involving people with chronic knee pain”, Osteoarthritis & Cartilage 27, 240-47
• A Liberman, D Pinto, D Labovitz, A Naidech & S Prabhakaran (2018), abstract, American Heart Association/American Stroke Association 2018 International Stroke Conference and State-of-the-Science Stroke Nursing Symposium, Los Angeles, USA, 2018, “Evaluating thrombolysis decision making in minor stroke using adaptive discrete choice experimentation”, Stroke 49(suppl 1)

Medical Research Institute of New Zealand / University of Otago / Waikato Hospital / Capital and Coast District Health Board / Woolcock Institute of Medical Research

• C Baggott, P Hansen, R Hancox et al (2020), “What matters most to patients when choosing treatment for mild-moderate asthma? Results from a discrete choice experiment”, Thorax 75, 842-48
• C Baggott, J Hardy, H Reddel et al (2019), abstract, 2019 European Respiratory Society (ERS) International Congress, Madrid, Spain, 2019, “Discrete choice experiments identifying attributes influencing treatment preference in mild asthma”, European Respiratory Journal 54(suppl 63), PA4189

Medical University of Vienna

• M Loiskandl, “Patient preferences regarding de-escalation of treatment with biologics in rheumatoid arthritis”, PhD thesis, 2019-
• D Aletaha (2015), “Classification of rheumatoid arthritis”, pp. 3-21, In: P Emery (editor), Atlas of Rheumatoid Arthritis, Springer

Medical University of Warsaw

• M Damentko, “E-prescribing in Polish health care system from patients’ and pharmacists’ perspectives”, MSc (Health Technology Assessment) thesis, 2021

Memorial University of Newfoundland

• R Audas, “Valuing the Rule of Rescue”, research project, 2014-

MICA (Institute of Strategic Marketing and Communication)

• A Dhawan and Team Curious Analysts, “Case study into the launch of Indomie noodles by Tolaram Group in India”, MBA Marketing Research project, 2017
• R Haldipur, “Conjoint analysis to support the launch of an instant noodle brand”, MBA Marketing Research project, 2017

Mindanao State University

• C Ansino, “Adaptive Conjoint Analysis in eliciting preferences”, research project, BSc, 2017

Monash University

• G Chen, A Iezzi & P Hansen, “Investigating people’s views on functional disability: Eliciting individualized preference weights”, The 8^th Meeting of the International Academy of Health Preference Research, Hobart, Australia, 2018

Nancy University Hospital / Harvard University / Cornell University

• S Zuily, M Barbhaiya, K Costenbader & D Erkan (2017), “15^th International Congress on Antiphospholipid Antibodies Task Force on Antiphospholipid Syndrome Classification Report”, Chapter 15, In: D Erkan & M Lockshin (editors), Antiphospholipid Syndrome: Current Research Highlights and Clinical Insights, 279-80

National Academy of Sciences of Ukraine

• S Kadenko, V Tsyganok, O Andriichuk & A Karabchuk (2020), “Analysis of decision support tools in the context of solving strategic planning tasks” (in Ukrainian), Registration, Storage and Data Processing 22, 77-91

National Academy of Sciences of Ukraine / Zhejiang University of Technology

• S Kadenko, V Tsyganok, O Andriichuk, A Karabchuk & M Fu (2020), “An overview of decision support software: Strategic planning perspective”, XX International Scientific and Practical Conference “Information Technologies and Security” 2020 (ITS 2020), Kyiv, Ukraine, CEUR Workshop Proceedings 2859, 142-56

National Institute for Research and Development in Informatics – ICI Bucharest

• C Rădulescu, A Balog, L Băjenaru & D Rădulescu, “Multi-criteria Decision Making software products – a comparison and ranking in terms of usability and functionality”, 12^th Romanian Human-Computer Interaction Conference, Bucharest, Romania, 2015

National Institute of Water & Atmospheric Research (NIWA)

• P Boyd, C Law & S Doney (2011), “Commentary: A climate change atlas for the ocean” Oceanography 24, 13-16

National Technical University of Athens

• M Joseph, “Συγκριτικη Μελετη Πολυκριτηριακων Συστηματων Αποφασεων Για Τη Ληψη Αποφασεων Σε Πραγματικες Περιπτωσεις (A comparative study of multi-criteria decision support systems for decision-making on selected case studies)”, PhD thesis, 2013

National Technical University of Ukraine ‘Kyiv Politechnic Institute’

• H Pereverzieva, “Justification of the device’s parameters for the hydraulic hammer resonant adaptation”, Masters in Electromechanics, 2016

National University of Life and Environmental Sciences of Ukraine / Gumarbek Daukeev Almaty University of Energy and Communications / Al-Farabi Kazakh National University

• V Lakhno, T Kartbayev, A Turginbayeva, Zh Alimseitova & G Beketova (2020), “Analysis of existing and development prospects of decision support systems for evaluating investment projects in the field of enterprise digitalization”, International Journal of Advanced Trends in Computer Science and Engineering 9, 8533-39

New Zealand Ministry of Health

• P Hansen, A Hendry, R Naden, F Ombler & R Stewart (2012), “A new process for creating points systems for prioritizing patients for elective health services”, Clinical Governance: An International Journal 17, 200-9
• R Naden, A Barber, R Paterson et al, “Assigning clinical priority: A systematic methodology”, 6^th International Conference on Priorities in Health Care, Toronto, Canada, 2006
• A Barber, F Doolan Noble, R Stewart, G Wilkins, R Naden & D North, “Prioritization for coronary artery bypass surgery: Can the process be improved?”, 5^th International Conference on Priorities in Health Care, Wellington, New Zealand, 2004

New Zealand Treasury

• J Au & A Coleman, “A practical approach to well-being based policy development: What do New Zealanders want from their retirement income policies?” (see pp. 21-2), 5^th OECD World Forum on Statistics, Knowledge and Policy: Transforming Policy, Changing Lives, Guadalajara, Mexico, 2015
• J Au, “Measuring the diversity and preferences of the general public to inform public policy – a retirement income policy example”, GEN Annual General Conference, Wellington, New Zealand, 2015

New Zealand Treasury / University of Otago

• J Au, A Coleman & T Sullivan (2019), “When I’m 64: What do New Zealanders want in a retirement income policy?”, Agenda 26, 23-47
• J Au & A Coleman, “Preferences, the Human Development Index, and the measurement of living standards”, 59^th Annual Conference of the New Zealand Association of Economists, Wellington, New Zealand, 2018
• J Au, A Coleman & T Sullivan (2015), “A practical approach to well-being based policy development: What do New Zealanders want from their retirement income policies?”, New Zealand Treasury Working Papers 15/14 (New Zealand Treasury, Annual Award for the Most Outstanding Working Paper 2015)
• J Au, A Coleman & T Sullivan, “A practical approach to well-being based policy development: What do New Zealanders want from their retirement income policies?”, 23^rd Colloquium of Superannuation Researchers, Sydney, Australia, 2015
• J Au, A Coleman & T Sullivan, “A practical approach to well-being based policy development: What do New Zealanders want from their retirement income policies?”, 56^th Annual Conference of the New Zealand Association of Economists, Wellington, New Zealand, 2015 (Winner, New Zealand Economic Policy Prize 2015)
• J Au, A Coleman & T Sullivan, “When I’m 64: What New Zealanders want from their retirement income policies”, Western Economic Association 11^th International Conference, Wellington, New Zealand, 2015
• J Au, A Coleman & T Sullivan, “Preferences, trade-offs, and policy making in a complex world: Are we in two minds about retirement policy?”, 54^th Annual Conference of the New Zealand Association of Economists, Wellington, New Zealand, 2013

NHTV Breda University of Applied Sciences

• V Jakshtane, “To go or not to go? How restaurant attributes mentioned in online reviews influence on restaurant choice and visiting motivation”, 2017

Normandy University / University Claude Bernard

• V Lvovschi, M Maignan, K Tazarourte et al (2020), “Multiple criteria decision analysis approach to consider therapeutic innovations in the emergency department: The methoxyflurane organizational impact in acute trauma pain”, PLOS One 15, e0231571

North Carolina A&T State University

• S-Y Chang & F Gronwald (2016), “A multi-criteria evaluation of the methods for recycling scrap tires”, The Journal of Solid Waste Technology and Management 42, 145-56

North Carolina State University

• C Reeb, “Employing life cycle environmental, supply chain logistics, and financial modelling and weighted outranking techniques for multi-criteria decision making and to predict the feasibility of various biomass-to-biomaterial industries”, PhD (Biomaterials Science & Engineering) thesis, 2014-

Northeastern University

• S Mirzaee, M Ruth & D Fannon (2019), “Reconciling diverse perspectives of decision makers on resilience and sustainability”, Chapter 19, In: M Ruth & S Goessling-Reisemann, Handbook on Resilience of Socio-Technical Systems, Elgar, 360-86
• S Mirzaee, “Assessing urban resilience using network science and data mining”, PhD (Public Policy) thesis, 2016-19

Northeastern University / University of Alberta

• S Mirzaee, D Fannon & M Ruth (2019), “A comparison of preference elicitation methods for multi-criteria design decisions about resilient and sustainable buildings”, Environment Systems and Decisions 39, 439-53

Northern Kentucky University

• B New, “Consumer loan application process”, Intelligent Design Application project, Business Informatics, 2017
• A Alyomny, “Determining the most attractive commercial property to invest in”, Master of Science in Business Informatics project, 2016
• K Boldery, “The use of 1000minds as a Knowledge Managment Application for small business resources”, Master of Science in Business Informatics project, 2012
• T Benton, “Using 1000minds to determine loan applicant viability”, Bachelor of Science in Business Informatics project, 2012

Northumbria University

• PJ Morton, “Resilience rating of Virtual City Models: Future proofing against obsolescence”, PhD thesis, 2012-

Northwestern University

• D Pinto, M Danilovich, P Hansen et al (2017), “Qualitative development of a discrete choice experiment for physical activity interventions to improve knee osteoarthritis”, Archives of Physical Medicine and Rehabilitation 98, 1210-16
• D Pinto, R Chang, U Bockenholt et al (2017), “What physical activity program features are important to patients with knee osteoarthritis? A discrete choice experiment”, poster abstract, World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases 2017, Florence, Italy, Osteoporosis International 28(suppl1), S516-17
• D Pinto, U Bockenholt, R Chang et al (2017), “Preferences for physical activity: A discrete choice experiment in people with chronic knee pain”, abstract, 2017 ACR/ARHP Annual Meeting, San Diego, USA, 2017, Arthritis & Rheumatology 69(suppl10)
• D Pinto, U Bockenholt, R Chang et al, “Patient preferences for physical activity: A discrete choice experiment in people with chronic knee pain”, 39^th Annual North American Meeting of the Society for Medical Decision Making, 2017, Pittsburgh, USA
• D Pinto, M Danilovich, P Hansen et al, “Designing a discrete choice experiment to understand older adult preferences for physical activity”, Aging and Society: 5^th Interdisciplinary Conference on Aging and Society, Washington DC, USA, 2015
• L Hoverson, N Sereis, B Sanders, C Edmonds & D Pinto, “Influential characteristics motivating academic dishonesty among physical therapist students”, 11^th Annual Lewis Landsberg Research Day, poster presentation, 2015
• D Pinto, “Physical Therapy in the treatment of lower extremity arthritis: Are we getting the bang for the buck?”, 2014 Scientific Symposium, Ohio Physical Therapy Association (OPTA)
• D Pinto, “Linking exercise preferences with technology to optimize exercise adherence in patients with knee OA”, NU-PATIENT K12 Scholars Program, 2014-16

Nova School of Business and Economics

• F Lopes, “Video streaming services: What do customers want?”, Master in Management – Work Project, 2021

Office of Health Economics

• N Devlin, “A new online tool for creating personal and social EQ-5D-5L value sets”, OHE News, 4 May 2018 News »
• N Devlin & J Sussex (2011), “Incorporating multiple criteria in HTA. Methods and processes”, OHE Report, Office of Health Economics

Old Dominion University

• S Long, E Ng & C Downing, “Strategic-based multi-criteria decision making", Proceedings of the American Society for Engineering Management 2014 International Annual Conference, Virginia, USA, 2014

Ondokuz Mayıs University

• O Yapıcı, “Popularity of Samsun’s Destinations”, research project, 2015

Opus Central Laboratories

• A Harding, “Anticipating future urban forms with restricted transport fuel availability: Location preferences of out-of-centre businesses in the Wellington region”, Working Paper, 2012

Organization for Economic Co-operation and Development (OECD)

• J Au, A Coleman, P Hansen & C Smith, “Using a stated preferences approach: The shadow price of health and unemployment”, 2016

Otago Polytechnic

• V Darroll, “Main drivers of sustainable consumption interventions”, Master of Professional Practice (MPP) thesis, 2021-22
• J Yao, “Mix & Match – a service design blueprint coordinating the needs and expectations of both fashion design graduates and the fashion industry in Shanghai”, Master of Design Enterprise Project, 2012

Paderborn University

• M Riechmann, “What to tackle first? – A prioritization framework of process mining use cases in accounts payable”, MSc (Management Information Systems) thesis, 2021

Paris-Saclay University

• C Serrano, “3D printing of medical devices used in surgery: what recommendations for the development of a medical and economic evaluation model?”, PhD (Health Law and Economics) thesis, 2016-20

Pennsylvania State University

• A Ramesh, “Supplier performance evaluation framework”, MEng (Industrial Engineering) research project, 2015

Pepperdine University

• D Loebsack, “Consulting the OD consultants: Common perspectives on organizational transformation”, Masters thesis, 2014

Politehnica University of Bucharest

• S Stefanescu, “Dezvoltarea sistemului suport-decizie” (“Development of decision-support system”)”, 2014

Polytechnic of Rijeka

• L Rovčanin, “Comparison of two tools for multiple criteria decision making”, Graduate professional thesis (Information Systems and Information Science), 2016 (Croatian language)

Pontificia Universidad Católica de Chile

• M Espinoza & R Rojas, “Multicriteria decision analysis: A tool for decision-makers in health care”, 1^st Health Care Decision Maker Summit, Panama City, Panama, 2017
• A Aguayo, “Assessment of health professionals’ willingness to pay for attributes of a master in health administration, measured through a discrete choice experiment”, Master of Health Administration thesis, 2015

Pontificia Universidad Católica de Chile / University of Panama

• M Espinoza, R Rojas & H de Patiño (2018), “Knowledge translation in practice: Exploring the potential use of MCDA in Central America and the Caribbean”, Value in Health Regional Issues 17, 148-9

Prince of Songkla University

• L Makarichi, “Municipal solid waste characterization for waste-to-energy management in Harare Metropolitan Province, Zimbabwe”, Masters of Science in Sustainable Energy Management, 2018

Prince of Songkla University / Center of Excellence on Hazardous Substance Management

• L Makarichi, K Techato & W Jutidamrongphan (2018), “Material flow analysis as a support tool for multi-criteria analysis in solid waste management decision-making”, Resources, Conservation and Recycling 139, 351-65

Princess Sumaya University for Technology

• D Masri, W Assa’d & H Shabrouq, “Vertical Handover Decision Algorithm for 4G networks”, BSc, Telecommunications Engineering project, 2011

Queen's University

• S French, P Beliveau, P Bruno et al (2017), “Research priorities of the Canadian chiropractic profession: a consensus study using a modified Delphi technique”, Chiropractic & Manual Therapies 25, 38

Queensland Department of Health / Princess Alexandra Hospital / Singapore Ministry of Health / Griffith University

• S Howard, I Scott, H Ju, L McQueen & P Scuffham (2019), “Multicriteria decision analysis (MCDA) for health technology assessment: the Queensland Health experience”, Australian Health Review 43, 591-99

Radboud University Nijmegen

• F van den Hoogen, “New classification criteria: Why, rules and presentation of new criteria”, ACR/ARHP Annual Meeting 13, San Diego, USA, 2013

Radboud University Nijmegen / Universidad del Rosario

• S Zelle & E Leon, “Priority setting for breast cancer control strategies in Colombia”, 2012-

Rajagiri Business School / Indian Institute of Management Raipur

• C Parsad, C Chandra & S Suman (2019), “A product feature prioritization-based segmentation model of consumer market for health drink”, International Journal of Strategic Decision Sciences 10, 70-83

Reserve Bank of New Zealand

• C Smith (2009), “Revealing monetary policy preferences”, Reserve Bank of New Zealand Discussion Paper Series DP2009/01

Resilient Organizations

• E Kay, J Stevenson, C Bowie, V Ivory & J Vargo (2019), The Resilience Warrant of Fitness Research Programme: Towards a method for applying the New Zealand Resilience Index in a regional context, June 2019 report
• E Kay, J Stevenson & C Bowie (2018), “Weighting indicators of resilience: Expert opinions on the New Zealand Resilience Index”, Results Bulletin 2018-12
• J Stevenson, C Bowie, E Kay, V Ivory & J Vargo (2018), “Resilience trajectories for a future proof New Zealand”, Resilience to Nature’s Challenges National Science Challenge project

Riga Technical University

• V Odzelēviča, “Decision making in business process automatization tasks”, Bachelor of Information Technology project, 2020

RK University / Marwadi University

• K Vaghela, P Tanna & A Lathigara (2018), “Job scheduling heuristics and simulation tools in cloud computing environment: A survey”, International Journal of Advanced Networking and Applications 10, 3782-87

RMIT University / Macquarie University

• V Narayanan, K Baird & R Tay (2020), “Investment decisions: the trade-off between economic and environmental objectives”, The British Accounting Review, early online version

RMIT University / University of Otago / Deakin University

• S Feeny, P Hansen, S Knowles, M McGillivray & F Ombler (2019), “Donor motives, public preferences and the allocation of UK foreign aid: A discrete choice experiment approach”, Review of World Economics 155, 511-37

Royal Society of New Zealand

• P Boyd & F Ombler, “Geo-engineering: An Interactive Workshop”, The Royal Society of New Zealand, 2011 News »

RWTH Aachen University

• A Lechner, “Vorstellung des Decision Support System 1000minds mit zugrundeliegender Theorie und kritscher Überprüfung” (“Conception of Decision Support System 1000minds with an introduction to its fundamental theory and a critical examination”), BCompSci project, 2017

Sanigest Internacional

• J Cercone, “Redesign of the Explicit Benefits Plan: The Dominicans Republic experience”, 2016

Sepuluh Nopember Institute of Technology

• R Dhaniareza, “An application of ranking of multi criteria using the PAPRIKA method for selection and recruitment (case study: PT Pembangkitan Jawa Bali)”, 2011

SGH Warsaw School of Economics

• P Sobczak, “Eliciting patients’ preferences for private health insurance with the PAPRIKA method”, MSc (Quantitative Methods in Economics & Information Systems) thesis, 2020
• A Ciepiela, “Study of student workplace preferences with the PAPRIKA method”, Bachelor thesis, 2019
• P Wrzeszczyński, “Eliciting preferences for a flat to buy with the PAPRIKA method”, MSc thesis, 2019

SGH Warsaw School of Economics / Medical University of Warsaw / HTA Consulting / Jagiellonian University / MAHTA / Sanofi

• M Jakubczyk, M Niewada, R Plisko et al (2021), “What matters in treating non-oncological rare diseases? – Eliciting experts’ preferences in Poland with PAPRIKA”, Journal of Multi-Criteria Decision Analysis, early online version, 1-12

Shanghai University of Engineering Science

• J Yao, N Laird & X Zhou, “MIX & MATCH. The research, development and design of a system to optimize working relationships within and between fashion enterprises and educational institutions in Shanghai”, DesignEd Asia Conference 2013, Hong Kong

Shiraz University

• M Namazi & R Gholami (2017), “Comprehensive ranking model of companies via accounting information, balanced scorecard and PAPRIKA technique”, Journal of Accounting Knowledge 7, 7-33
• R Gholami, “Modeling multiple attribute decision-making rating for listed companies on Tehran Stock Exchange by using accounting information, balanced scorecard and the PAPRIKA technique”, PhD (Accounting) thesis, 2016

Sint Maartens Clinic / University of Western Ontario

• F van den Hoogen, D Khanna, J Fransen et al (2013), “Classification criteria for systemic sclerosis: Preliminary results”, abstract, 2014 Annual European Congress of Rheumatology, Madrid, Spain, 2013, Annals of the Rheumatic Diseases 72(suppl), A59

Southern District Health Board

• C MacKenzie, R Braund & J Nicholls, “Pharmacist involvement to enhance identification and management of patients at discharge from hospital with increased risk of medication-related problems and effect on quality of life and readmission to hospital: a double-arm, randomised clinical trial”, 2016-18
• D Gwynne-Jones, E Iosua & K Stout (2016), “Rationing for total hip and knee replacement using the New Zealand Orthopaedic Association (NZOA) score: Effectiveness and comparison with patient reported scores”, The Journal of Arthroplasty 31, 957-62

Southern District Health Board / University of Otago / Ministry of Health

• D Gwynne‐Jones, R Wilson & C McEwan (2020), “National Referral Prioritization tool for first specialist assessment: Results of a pilot study in orthopaedic surgery”, ANZ Journal of Surgery 90, 1738-42

Sultan Qaboos University

• A Alshaqsi, “Toward smart grid transformation”, MSc (Engineering) thesis, 2015

Swedish University of Agricultural Sciences / University of Novi Sad

• K Kons, D Bergström, B Blagojevic et al, “Current and future bio-based industrial raw material demand and supply”, research project, 2021

Swiss Federal Laboratories for Materials Science and Technology (Empa) / University of Southampton

• S Mueller, “Mining anthropogenic and geological deposits: Evaluating the accessibility of raw materials from end of life products and the earth’s crust under sustainability considerations”, PhD thesis, 2016-

Syreon Research Institute

• B Németh, A Molnár, S Bozóki et al (2019), “Comparison of weighting methods used in multicriteria decision analysis frameworks in healthcare with focus on low-and middle-income countries”, Journal of Comparative Effectiveness Research 8, 195-204

Technical University of Cologne

• J Beer, “Investigating the success factors of subscription-based music streaming services among 15-25 year-olds – A conjoint analysis study”, Bachelor thesis, 2019-20

Technical University of Sofia

• I Ivanov, “Creating a web application that helps students choose a university after high school based on multiple criteria”, graduation project, BSc, 2014

Technion – Israel Institute of Technology

• M Shpol & D Kanevsky, “Increasing cream and lotion production capacity at a cosmetics factory”, Systems Engineering project, Master of Engineering, 2017
• O Bodenheimer & VCDS Team, “Vector Control Drone Solutions”, Systems Engineering project, Master of Engineering, 2017
• A Shteinman, “Green Fleet – electric vehicles fleet”, Systems Engineering project, Master of Engineering, 2008-9
• D Feinstein, “Developing an atmospheric modeling system”, Systems Engineering project, Master of Engineering, 2008-9
• H Peleg, E Birenbaum, H Aharonov & A Kostianovsky, “Delek Green – residential solar electric power system”, Systems Engineering project, Master of Engineering, 2008-9
• L Roditi, “Generic sonar simulator”, Systems Engineering project, Master of Engineering, 2008-9
• Y Sarig, I Priel, O Pliskin & E Hayun, “Zion 2 – Surveillance satellite project management”, Systems Engineering project, Master of Engineering, 2008-9
• Z Bareket, L Dgany & B Dveer, “Green Car – ‘green’ alternatives for gasoline cars”, Systems Engineering project, Master of Engineering, 2008-9

Temperate Agriculture Research Network / New Zealand Sustainability Dashboard Project

• E de Olde, H Moller, F Marchand et al (2017), “When experts disagree: The need to rethink indicator selection for assessing sustainability of agriculture”, Environment, Development and Sustainability 19, 1327–42
• E de Olde, H Moller, F Marchand et al, “Selecting indicators for assessing the sustainability of agriculture: Importance of context specificity, plurality and flexibility”, 2015
• H Moller, “Sustainability indicator selection criteria: A ranking survey by TempAg and New Sustainability Dashboard members”, Research Note, 2015

The Hospital for Sick Children

• M Tolend, T Junhasavasdikul, R Cron et al (2021), “Discrete choice experiment on a magnetic resonance imaging scoring system for temporomandibular joints in juvenile idiopathic arthritis” Arthritis Care & Research, early online version
• T Ribeiro, A Abad & B Feldman (2019), “Developing a new scoring scheme for the Hemophilia Joint Health Score 2.1”, Research and Practice in Thrombosis and Haemostasis 3, 405-11
• M.L Avila, L Brandão, S Williams et al (2016), “Development of CAPTSure™–a new index for the assessment of pediatric postthrombotic syndrome”, Journal of Thrombosis and Haemostasis 14, 2376-85
• B Feldman, “Health care preferences: Willingness to pay pilot study”, Summer Research Project, 2013

The Open University

• C Perera, “Understand users’ privacy preferences and priorities in Internet of Things”, research project, 2015-

Tufts University

• C Cummings, “Development of a zoological anesthesia score and wildlife triage score to understand risk and inform treatment decisions in zoological medicine”, MS (Clinical and Translational Science) project, 2020-22

United States International University – Africa

• E Njau, “Information system recommendation”, BSc Current Technology Position Paper, 2015

Universidad Autónoma de Querétaro

• R Benito, “Evaluation of the viability of implementing a Wildlife Management Unit in the La Joya watershed in Querétaro, México”, Master of Integrated Watershed Management, 2011-

Universidad de Castilla-la Mancha / Universidade de Lisboa

• MC Carnero (2020), “Waste segregation FMEA model integrating intuitionistic fuzzy set and the PAPRIKA method”, Mathematics 8, 1375

Universidad Nacional de Colombia / University of Sheffield

• A Moreno-Calderón, T Tong & P Thokala (2019), “Multi-criteria Decision Analysis software in healthcare priority setting: A systematic review”, PharmacoEconomics, early online version

Universidad Tecnológica de la Mixteca / Universidad Popular del Estado de Puebla / Clínica de Rehabilitación Integral, Física y Mental

• G Hernández-Ledesma, E Ramos, C Fernández-y-Fernández et al (2017), “Selection of best software engineering practices: A Multi-Criteria Decision Making approach”, Research in Computing Science 136, 47-60

Universidade Metodista de São Paulo

• E Cosso, “Women’s entrepreneurship profiling: A case study of the Santo Andre Commercial and Industrial Association Women’s Entrepreneurship Nucleus”, Master’s thesis, 2014

Universidade Nove de Julho

• F Martins, E Santos & L Vils (2017), “Organizational creativity in innovation – a multicriteria decision analysis”, Independent Journal of Management & Production 8, 1223-45
• F Martins, R Vanalle & W Lucato, “Coffee cooperatives’ operation management: relevant factors for production diversification”, 24th Annual POMS (Productions & Operations Management Society) Conference, Denver, USA, 2013

Université Catholique de Louvain

• L Enthoven et al, “Analysis of causes and possible solutions to flood problems in Grez-Doiceau (Belgium)”, Masters, Environmental Sciences & Technologies, 2014-

Universite Laval / University of Hull

• A Jamshidi, F Jamshidi, D Ait-Kadi & A Ramudhin (2018), “A review of priority criteria and decision-making methods applied in selection of sustainable city logistics initiatives and collaboration partners”, International Journal of Production Research, early online version

Université Paris-Sud

• N Martelli, “Introduction of innovative medical devices at French university hospitals: an overview of hospital-based health technology assessment initiatives and development of a decision support tool”, PhD thesis, 2013-15

Universiti Teknologi MARA Kedah

• N Aznam, W Hussain & F Bosli, “Preliminary study of zakat criteria to enhance existing zakat distribution methods using 1000Minds”, abstract, 1^st International Conference On Social Studies, Moral, and Character Education (ICSMC), Yogyakarta, Indonesia, 2018

Universiti Teknologi Petronas

• H Alabool, A Kamil, N Arshad & D Alarabiat (2018), “Cloud service evaluation method-based multi-criteria decision-making: A systematic literature review”, Journal of Systems and Software, 139, 161-88

Universiti Utara Malaysia​ / University of Science, Malaysia / University of Baghdad

• H Mohammed, E AL-Dahneem, & A Hamadi (2016), “A comparative analysis for adopting an innovative pedagogical approach of flipped teaching for active classroom learning”, Journal of Global Business and Social Entrepreneurship 3, 86-94

University College London

• R Cai, H Chaplin, P Livermore et al (2019), “Development of a benchmarking toolkit for adolescent and young adult rheumatology services (BeTAR)”, Pediatric Rheumatology 17, 23

University Hospital Carl Gustav Carus Dresden

• M Aringer, T Dörner, N Leuchten & S Johnson (2016), “Toward new criteria for systemic lupus erythematosus – a standpoint”, Lupus 25, 805-11

University Hospitals Coventry and Warwickshire

• D Griffin, E Dickenson, J O’Donnell et al (2016), “The Warwick Agreement on femoroacetabular impingement syndrome (FAI syndrome): an international consensus statement”, British Journal of Sports Medicine 50, 1169-76

University Medical Centre Utrecht

• N ter Haar, M Piram & I Koné-Paut (2019), “Monitoring disease activity, damage and quality of life”, Chapter 13, In: P Hashkes, R Laxer & A Simon (editors), Textbook of Autoinflammation, Springer
• N ter Haar, K Annink, M Sulaiman et al (2017), “Development of the autoinflammatory disease damage index (ADDI)”, Annals of the Rheumatic Diseases 76, 821-30 News »
• K Annink, N ter Haar, G Gattorno et al (2015), “Development of the autoinflammatory disease damage index (ADDI)”, poster presentation, 8^th International Congress of Familial Mediterranean Fever and Systemic Autoinflammatory Diseases, Dresden, Germany, 2015, Pediatric Rheumatology 13(suppl1), P29

University of Alabama at Birmingham

• J Merlin “Development of an algorithm for aberrant opioid-related behaviors using a Delphi Study”, PhD thesis, 2014-

University of Alberta / University of Sydney / University of Otago / Sunnybrook Health Sciences Centre / Queen's University / Monash University

• M Anaka, D Chan, S Pattison et al (2020), abstract, 12^th Annual Multidisciplinary Neuroendocrine Tumor Medical Symposium of the North American Neuroendocrine Tumor Society, Boston, USA, “Understanding the treatment preferences of neuroendocrine tumor patients using discrete choice experiments”, Pancreas 49, 461-91

University of Algarve / Hokkaido University / Tinbergen Institute

• J Romão, K Machino, & P Nijkamp (2017), “Assessment of wellness tourism development in Hokkaido: a multicriteria and strategic choice analysis”, Asia-Pacific Journal of Regional Science 1, 265-90

University of Amsterdam

• N van Ettekoven, “Student preferences when choosing work after study”, MSc (Econometrics) project, 2017

University of Applied Sciences Wiener Neustadt

• J Schvarczova, Masters of Marketing Analytics thesis, 2018

University of Auckland / Green Lane Cardiovascular Service

• RAH Stewart, A Hamer, B Mahon et al (2010), “Comparison of a clinical score with individual clinician judgment for assigning priority for heart valve surgery”, abstract (poster), European Society of Cardiology Congress, Stockholm, Sweden, 2010, European Heart Journal 31 (suppl 1), 71

University of Auckland / University of Otago

• G Srikumar, T Eglinton & A MacCormick (2020), “Development of the General surgery prioritization tool implemented in New Zealand in 2018”, Health Policy 124, 1043-49
• N Dalbeth, L Stamp & W Taylor (2020), “What is remission in gout and how should we measure it?”, Rheumatology, early online version

University of Calgary

• K Devani, “Genetic and economic implications of teat and udder structure in Canadian Angus cattle”, PhD (Veterinary Medical Sciences) thesis, 2018-21

University of Calgary / AbacusBio / Agrifood Research and Technology Centre of Aragon (CITA) / University of Alberta

• K Devani, C Quinton, J Archer et al (2021), “Estimation of economic value for efficiency and animal health and welfare traits, teat and udder structure, in Canadian Angus cattle”, Journal of Animal Breeding and Genetics, early online version

University of Calgary / Alberta Health Services / Western Canada Waiting List Project

• A Fitzgerald, C De Coster, S McMillan et al (2011), “Relative urgency for referral from primary care to rheumatologists: The priority referral score”, Arthritis Care & Research 63, 231-39
• A Fitzgerald, B Conner Spady, C De Coster et al (2009), “WCWL Rheumatology Priority Referral Score reliability and validity testing”, abstract, The 2009 ACR/ARHP Annual Scientific Meeting, Philadelphia, USA, Arthritis & Rheumatology 60 (suppl 10), 54
• C De Coster & T Noseworthy, “Improving wait times in the referral-consultation process: WCWL priority referral scores”, Taming of the Queue VI: Improving Patient Flow, 6^th National Invitational Conference on Wait Time Measurement, Monitoring & Management, Ottawa, Canada, 2009
• T Nosewothy, C De Coster & R Naden (2009), “Priority-setting tools for improving access to medical specialists”, poster presentation, 6^th Health Technology Assessment International Annual Meeting, Singapore, 2009, Annals, Academy of Medicine, Singapore 38, S78
• A Fitzgerald, C De Coster, R Naden & T Noseworthy, “Priority-setting for referrals from primary care providers to rheumatologists”, American College of Rheumatology, 2008 Annual Scientific Meeting, San Francisco, USA
• C De Coster, A Fitzgerald & T Noseworthy, “Developing priority-setting referral tools for medical specialities”, Canadian Association for Health Services & Policy Research Conference, Gatineau, Canada, 2008

University of California, Berkeley

• T Schluchter & D Byler, “MeetMarket: Find your crowd”, Master’s Final Project, Master of Information Management and Systems, 2011

University of California, Los Angeles

• W Sun, Business Creation Option Capstone Project, UCLA Anderson FEMBA Program, 2020

University of California, San Francisco

• C Shiboski & T Daniels (2021), “Historical background, classification, and diagnostic criteria”, Section 1.2, In: E Price & A Tappuni (editors), Oxford Textbook of Sjögren's Syndrome, Oxford University Press

University of Dayton

• J Williams, “Strategies for improved microgrid system selection for the electrification of rural areas” MSc (Renewable and Clean Energy), 2015

University of Delhi

• S Jaiswal, “Customizing a restaurant’s menu card using conjoint analysis”, MSc (Operational Research) project, 2020

University of Duisburg-Essen

• R Bruckdorfer, “Lay theories about food products for children”, PhD (Economic/Consumer Psychology) thesis, 2018-

University of Economics in Bratislava

• M Risko, “A comparison of the PAPRIKA method with other MCDM methods and software tools”, Master of Business Informatics project, 2012-

University of Edinburgh

• S Keller Finn, “An exploratory study of the suitability of decision-support tools for OPERAs guidance on ecosystem services assessment and instrument selection”, Dissertation, MSc (Environmental Sustainability), 2015
• S Kiarsi, “A framework for the evaluation of renewable energy in developing countries”, Dissertation, MSc (Geoscience), 2011

University of Erlangen-Nürnberg / École Centrale Paris

• S Rupprecht , “Concept creation for a smartphone app to support decision making in engineering design”, MSc (Industrial Engineering and Management) thesis, 2016

University of Exeter

• D McNeil, “Valuing ecosystem services on the Isles of Scilly”, PhD thesis, 2016-

University of Genova / Istituto Giannina Gaslini

• S Rosina, G Varnier, M Mazzoni et al (2018), “Innovative research design to meet the challenges of clinical trials for juvenile dermatomyositis”, Current Rheumatology Reports 20, 29

University of Johannesburg

• J Agwa-Ejon & A Pradhan, “Application of MCDM in the selection of travel agents for universities”, 28^th International Conference of the International Association for Management of Technology, Mumbia, India, 2019
• J Agwa-Ejon, “Multiple perspective and hierarchical decision modelling assessment of solar and microwave energy technologies for sandstone artisanal mining and processing in Qwaqwa (Free State, South Africa)”, research project, 2016

University of Jyväskylä

• V-M Vierto, “Smart card services from the point of view of Finnish consumers”, MSc (Information Systems Science) thesis, 2016

University of Liechtenstein

• V Schütz, “Influence of attributes on the wine purchase decision online: A conjoint analysis”, MSc (Entrepreneurship) thesis, 2020

University of Lisbon

• B Domingos, “Valuation of locations for logistics hubs of Angolan nationwide network to improve geographic efficiency and equity”, PhD thesis (Engineering and Management), 2015-

University of Lyon

• A Dubromel, “Prise en compte de l’impact organizationnel d’une innovation en santé: exemple d’un parcours de patient atteint d’oedème maculaire diabétique”, PharmD thesis, 2017

University of Manchester

• G Wright, MSc (Reliability Engineering & Asset Management) project, 2018

University of Massachusetts

• J Kay & K Upchurch (2012), “ACR/EULAR 2010 rheumatoid arthritis classification criteria”, Rheumatology 51, vi5-vi9

University of Melbourne

• J Hart, R Hinman, A Van Ginckel et al (2018), “Factors influencing cane use for the management of knee osteoarthritis: a cross sectional survey”, Arthritis Care & Research 70, 1455-60
• T Egerton, K Bennell & F Dobson “Development of a recommendation on who should see a physiotherapist for treatment of knee osteoarthritis”, research project, 2015
• P Nicolson, S French, R Hinman et al (2014), “Developing key messages for people with osteoarthritis: A delphi study”, Osteoarthritis & Cartilage 22, S305-S306
• S French, K Bennell, P Nicolson et al (2014), “What do people with knee or hip osteoarthritis need to know? An international consensus list of essential statements for osteoarthritis”, Arthritis Care & Research 67, 809-16
• F Dobson, R Hinman, E Roos et al (2013), “OARSI recommended performance-based tests to assess physical function in people with established hip and knee osteoarthritis”, abstract, 2013 Osteoarthritis Research Society International (OARSI) World Congress, Philadelphia, USA, Osteoarthritis & Cartilage 21(suppl), S39-S40
• F Dobson, R Hinman, E Roos et al (2013), “OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis”, Osteoarthritis & Cartilage 21, 1042-52 (manual)
• K Bennell, F Dobson, R Hinman et al, “Identification of a standardised set of physical performance outcome measures for lower limb osteoarthritis”, OA Working Party project, manual, 2011-13

University of Melbourne / Keele University

• P Teo, R Hinman, T Egerton, K Dziedzic & K Bennell (2019), “Identifying and prioritizing clinical guideline recommendations most relevant to physical therapy practice for hip and/or knee osteoarthritis”, Journal of Orthopaedic & Sports Physical Therapy 49, 501-12

University of Minnesota

• R Rizvi, “Diagnostic Clinical Decision Models (DCDMs) – An aid to clinical diagnoses”, M.D, M.S, 2013

University of Monastir

• A Rhili, “Multi-Criteria Decision Analysis to prioritize the allocation of Covid19 vaccine in Tunisia”, PharmD thesis, 2021

University of Monastir / Institut Pasteur of Tunis / Université de Tunis el Manar / Direction de la Pharmacie et du Médicament, Tunisia

• H Chaker, A Rhili, I Zamali et al, “Multi-Criteria Decision Analysis to prioritize people for COVID-19 vaccination when vaccines are in short supply”, research project, 2021

University of Montpellier

• B Combe (2011), “The new classification criteria for rheumatoid arthritis and their impact on therapeutic decisions”, Editorial, Joint Bone Spine 78, 539-41

University of Natural Resources and Life Sciences, Vienna / University of Canterbury / University of the Sunshine Coast / Koller Forsttechnik GmbH

• M Kühmaier, H Harrill, M Ghaffariyan et al (2019), “Using conjoint analyzes to improve cable yarder design characteristics: An Austrian yarder case study to advance cost-effective extraction”, Forests, 10, 165

University of New South Wales / City of Sydney Council

• L Corkery, P Osmond, J Blair & S Ahrestani, “Integrating vegetative systems on buildings to help achieve Sustainable Sydney 2030 targets and address climate change adaptation: A pilot project with the City of Sydney”, research project, 2011-12

University of North Carolina at Chapel Hill

• A Winnie, “Impact of transparency and property novelty on Real Estate Investment Trust (REIT) attractiveness”, MBA project, 2020
• C Pursley, “Grow Garden Center: Marketing analysis and plan”, MBA Marketing project, 2020
• K Medeiros, “Marketing and analysis plan”, MBA project, 2019 

University of Otago

Accountancy and Finance

• J Noviarini, “Pension adequacy, financial literacy and behavioral aspects of post-retirement wealth management of New Zealand pensioners”, PhD (Accounting), 2017-
• R Whiting, P Hansen & A Sen (2017), “A tool for measuring SMEs’ reputation, engagement and goodwill: A New Zealand exploratory study”, Journal of Intellectual Capital 18, 170-88
• R Whiting, P Hansen & A Sen (2016), “A tool for measuring SMEs’ reputation, engagement and goodwill including internet and social media presence”, Proceedings of the 8th Asia-Pacific Interdisciplinary Research in Accounting (APIRA) Conference, Melbourne, Australia, 2016

Bioethics

• K Ben, “Equity, triage and Aotearoa – the ethical and legal implications resulting from the rationing of advanced respiratory support during a global pandemic”, Masters of Bioethics and Health Law dissertation, 2021

Bio-Statistics

• P Herbison, “A last attempt to rank studies for risk of bias using 1000minds”, Joint Colloquium of the Cochrane & Campbell Collaborations, Colorado, USA, 2010
• P Herbison, “Can 1000minds be used to provide a valid ranking of studies by risk of bias?”, Joint Meeting of the Cochrane Statistical Methods Group & the UK Meta-Analysis in Medicine Group, Freiburg, Germany, 2008
• P Herbison, P Hansen, J Hay-Smith, M Lauti, F Ombler & D Wilson, “A new method for combining multiple outcomes to obtain overall results from randomised trials for chronic conditions”, 2008

Computer Science

• F Ombler, M Albert & P Hansen (2018), “How significant are ‘high’ correlations between EQ-5D value sets?”, Medical Decision Making 38, 635-45
• F Ombler, M Albert & P Hansen (2017), “The true significance of ‘high’ correlations between EQ-5D value sets”, Economics Discussion Paper No 1704, University of Otago
• F Ombler, “Improving PAPRIKA”, PhD thesis, 2015-20

Design Studies

• B Thomas, M Edwards & J Kohn, “T.E.K New Home Builds”, Strategic Design project, Bachelor of Applied Sciences, 2015
• D Willan, “StarDraft”, Strategic Design project, Bachelor of Applied Sciences, 2009

Economics

• S Babashahi, P Hansen & R Peeters, “Assessing external validity of elicited preferences with application to a multi-criteria decision analysis study”, research project, 2020-21
• S Babashahi, P Hansen & T Sullivan (2021), “Creating a priority list of non-communicable diseases to support health research funding decision-making”, Health Policy 125, 221-28
• S Babashahi, P Hansen & T Sullivan (2020), “Creating a priority list of non-communicable diseases to support health research funding decision-making”, Economics Discussion Papers, No. 2003, University of Otago
• J Weston, “The future is here, but are we ready for it: Consumer preferences for meat alternatives in New Zealand”, Masters of Economics dissertation 2020-21
• M Genç, S Knowles & T Sullivan (2020), “In search of effective altruists”, Applied Economics, early online version
• S Babashahi, P Hansen, R Peeters & T Sullivan (2020), “Evaluating the reliability and validity of two prominent MCDA methods”, Biennial European Meeting of the Society for Medical Decision Making, Berlin, Germany, 2020, postponed to 2022, Abstract, Medical Decision Making 40, E470
• M Genç, S Knowles & T Sullivan (2019), “In search of effective altruists”, Economics Discussion Paper No 1905, University of Otago
• P Hansen & N Devlin (2019), “Multi-Criteria Decision Analysis (MCDA) in health care decision making”, In: Oxford Research Encyclopedia of Economics and Finance, Oxford University Press
• P Hansen, F Ombler & T Sullivan (2019), “An online tool for valuing people’s health, including valuing ‘dead’”, EcoNZ@Otago 43, 6-9
• R O’Hara, “Evaluating the New Zealand EQ-5D-5L”, Masters of Economics dissertation, 2019-20

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Energy Studies

• P Thorsnes, R Lawson & J Stephenson (2017), “Heterogeneity in household preferences for energy-efficient heating systems”, Economics Discussion Paper No. 1713, University of Otago
• R Ford, S Walton, J Stephenson et al (2016), “Emerging energy transitions: PV uptake beyond subsidies”, Technological Forecasting and Social Change 117, 138-50
• R Ford, O Sumavsk, A Clarke & P Thorsnes (2014), “Personalized energy priorities: a user-centric application for energy advice”, In: A Marcus (editor), Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services, Lecture Notes in Computer Science 8519, 542-53
• J Williams, A Miller et al, GREEN Grid Project, 2013-
• P Thorsnes & R Lawson, “Household preferences for energy efficient space and water heating systems” (PPT presentation), 34^th International Association for Energy Economics (IAEE) International Conference, Stockholm, Sweden, 2011
• G Carrington, P Thorsnes, J Stephenson, R Lawson, B Barton & M Mirosa, The Energy Cultures 1 Research Project, 2009-12

Entrepreneurship

• D Prain, “Why study here? Exploring the decision-making process of international students who choose to study in New Zealand”, Business Incubation project, Master of Entrepreneurship, 2016-17
• B Fay, “InFays – a new online tool for allocating advertising budgets”, Business Incubation project, Master of Entrepreneurship, 2010-11

Environmental Management

• L McKenzie, “The environmental priorities of local food producers”, MSc thesis, 2016

Executive Management

• B Mosby, “Next stages in the development of a volunteer dashboard”, MCDM project, Post-Graduate Diploma, 2014
• C Geddes, “Using 1000minds software to prioritize Willowbank Fire Station’s future projects and procurement within existing allocated budgets”, MCDM project, Post-Graduate Diploma, 2014
• D Clark, “Capex and Opex decision-making”, MCDM project, Post-Graduate Diploma, 2014
• E Pauga, “Prioritizing fire stations to be built”, MCDM project, Post-Graduate Diploma, 2014
• M Abel, “Firefighter recruitment”, MCDM project, Post-Graduate Diploma, 2014
• P Marsh & L Voight, “Choosing a new fire service appliance”, MCDM project, Post-Graduate Diploma, 2014
• Q Webster, “Selecting new breathing apparatus ”, MCDM project, Post-Graduate Diploma, 2014
• R Collins, “Evaluation of multi-criteria decision making software and its value to NZ Police”, Post-Graduate Diploma final project, 2013

Food Science

• M Mirosa, Y Liu & P Bremer (2020), “Determining how Chinese consumers that purchase Western food products prioritize food safety cues: A conjoint study on adult milk powder”, Journal of Food Products Marketing 26, 358-71
• T Phan, P Bremer & M Mirosa (2020), “Vietnamese consumers’ preferences for functional milk powder attributes: A segmentation-based conjoint study with educated consumers”, Sustainability 12, 5258
• K Lloyd, “The relative importance of ‘smart’ food packaging attributes for Chinese food consumers”, MSc thesis, 2017-
• L Qian, “Chinese consumers’ attitudes towards milk from alternative animal (non-cow) species”, PGDipAppSci (Consumer Food Science), 2017
• S Liu, “Determination of the best way to provide Chinese consumers information about the safety of NZ food products”, MSc thesis, 2017-
• T Phan, “Vietnamese consumers’ preferences for functional milk powder attributes”, PGDipAppSci (Consumer Food Science), 2017
• L Cong, “Chinese consumers’ perceptions of functional foods designed to help the immune system recover from the impact of air pollution”, PhD thesis, 2016-
• H Mohamad, “Parental attitudes toward weaning practices and weaning foods for health in Malaysia”, PhD thesis, 2015-
• PY Lee, K Lusk, M Mirosa & I Oey (2015), “An attribute prioritization-based segmentation of the Chinese consumer market for fruit juice”, Food Quality and Preference 46, 1-8
• PY Lee, “Understanding the extrinsic and intrinsic product attributes that drive Chinese consumers’ food consumption decisions and how this influences their perceptions of food processing technologies”, PhD thesis, 2013-

Geography

• S Chhun, V Kahui & P Thorsnes (2015), “Advancing marine policy towards ecosystem based management by eliciting public preferences”, Marine Resources Economics 30, 261-75
• S Chhun, “Valuing coastal marine ecosystem attributes to prioritize management alternatives”, CNREP 2013: Challenges of Natural Resource Economics and Policy: 4th National Forum on Socioeconomic Research in Coastal Systems, New Orleans, USA, 2013
• S Chhun, P Thorsnes & H Moller (2013), “Preferences for management of near-shore marine ecosystems: A choice experiment in New Zealand”, Resources 2, 406-38
• S Chhun, H Moller, P Thorsnes & V Kahui, “Public and ethnic preferences for ecosystem attributes: Results from a choice experiment in Aotearoa New Zealand”, New Zealand Geographical Society Conference, Napier, New Zealand, 2012
• S Chhun, “Valuation of biodiversity and ecosystem services to improve spatial management of near-shore marine areas in New Zealand”, PhD thesis, 2010-13
• R Morgan & N Fletcher, “Evaluating software to capture value preferences”, 29th Meeting of the International Association for Impact Assessment, Accra, Ghana, 2009
• N Fletcher & R Morgan, “Characterising value preferences in impact assessment: Evaluation of the 1000minds software package”, NZ Association for Impact Assessment Conference, 2008
• N Fletcher, “Assessing 1000minds in the environmental impact assessment process: deriving and modeling the environmental preferences of a community”, Master of Science thesis, 2007-8 News » 1, 2, 3
• A Christofferson, “Analyzing residential preferences”, Master of Regional & Resource Planning thesis, 2006

Human Nutrition

• L Mainvil and colleagues, “Out of the box: What factors prevent families eating more fruits and vegetables?”, 2011

Information Science

• H Noorebad, “Multi-criteria decision-making models for selecting Business Intelligence (BI) applications”, BSc (Hons) dissertation, 2010

International Studies

• H Cunningham, “New Zealand’s foreign aid: Do recent policy changes reflect New Zealander’s preferences?”, Master of International Studies thesis, 2015
• W McGimpsey, “Sustainability preferences: An investigation of consumer demand for sustainability attributes with regard to New Zealand’s agricultural sector”, Master of International Studies thesis, 2011

Marketing

• R Wijland, P Hansen & F Gardezi (2016), “Mobile nudging: Youth engagement with banking apps”, Journal of Financial Services Marketing 21, 51-63
• R Wijland, P Hansen & F Gardezi (2016), “Economic psychology applied to business: Designing a mobile-banking app”, EcoNZ@Otago 37, 12-14
• M Hayes, “Selecting potential export markets”, Export and International Marketing project, 2015
• F Gardezi, “Planning, behavioral nudging and the Be Good with Money campaign”, Master of Business thesis, 2013
• M Li, “Variation in student preferences for improvements to home energy-efficiency”, Master of Commerce thesis, 2013
• B Elliston, “Consumer behavior towards hot water use”, Master of Commerce thesis, 2011-12
• M Li, “Changes in consumers’ attitudes and behaviors over time towards products and services in the beauty industry”, Master of Business thesis, 2009

Master of Business Administration (MBA)

• A Martin, “Allocation of personal investment capital post MBA”, Economics project, 2017
• C Thompson, “Choosing the best option for the Dunedin hospital rebuild”, Economics project, 2017 
• D van der Watt, Z Lenagh-Glue, S Banerjee & J Hall, “Syntonix Pharmaceuticals”, Harvard Global Case Competition, 2017
• G Moir, “Business partner decision based on MBTI (Myers-Briggs Type Indicator)”, Economics project, 2017 
• G Sundaram, “Space colonization: An application of 1000minds decision-making software”, Economics project, 2017 
• H He, “Hear I come. Selecting hearing aid products for the NZ market”, Economics project, 2017
• J Hall, “A strategic planning methodology for Otago Polytechnic”, Consultancy (‘540’) Project, 2017
• J Tang, “Which venture capital firm should go first? – application of 1000minds as a multi-criteria decision-making tool”, Economics project, 2017
• J Truong, “Using MCDM to allocate marketing budget in Leo Pharma Viet Nam”, Economics project, 2017 
• L Thakkar, “Best business idea in New Zealand: Multiple criteria decision-making approach”, Economics project, 2017 

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Medicine

• W Taylor (2016), “Pros and cons of conjoint analysis of discrete choice experiments to define classification and response criteria in rheumatology”, Current Opinion in Rheumatology 28, 117-21
• W Taylor, M Brown, O Aati et al (2013), “Do patient preferences for core outcome domains for chronic gout studies support the validity of composite response criteria?”, Arthritis Care & Research 65, 1259-64
• W Taylor, J Singh, K Saag et al (2011), “Bringing it all together: A novel approach to the development of response criteria for chronic gout clinical trials” The Journal of Rheumatology 38, 1467-70
• W Taylor & G Laking (2010), “Value for money – recasting the problem in terms of dynamic access prioritization”, Disability & Rehabilitation 32, 1020-27
• A Barazanchi, F Brown, L Edmonds et al, “Comparison of a citizens’ jury with a formal decision-theoretic approach (1000minds) for prioritizing health technologies”, Trainee Intern Research Project, 2009

Pharmacy

• C Simmonds, “Preferences of social media users with respect to health promotion messaging for sexually transmitted infections”, Honours thesis, 2019-20
• I Tucker & P Hansen, “What are the most important controlled release products of all time?”, poster presentation, The 43rd Annual Meeting & Exposition of the Controlled Release Society, Seattle, USA, 2016

Physiotherapy

• K Taylor, T Sullivan, G Baxter, P Hansen & S Tumilty, “Shoulder-injury pathways: Physiotherapists’ decision-making about patient referrals for imaging and surgery in New Zealand primary care”, research project, 2020-21
• K Taylor, “Evaluating the primary care and decision-making process for acute shoulder injuries in New Zealand”, PhD thesis, 2015-

Preventive & Social Medicine

• R O’Hara, G McCarty, T Sullivan, F Ombler & P Hansen, “Which level of poor health on the EQ-5D-5L is worse: ‘severe’ or ‘extreme’?”, research project, 2020-21
• T Sullivan, R Turner, S Derrett & P Hansen (2021), “New Zealand population norms for the EQ-5D-5L constructed from the personal value sets of participants in a national survey”, Value in Health 24, 1308-18
• T Sullivan, J Smith, F Ombler & H Brayley-Morris (2020), “Prioritizing the investigation of organized crime”, Policing and Society 30, 327-48
• T Sullivan, P Hansen, F Ombler, S Derrett & N Devlin (2020), “A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’”, Social Science & Medicine 246, 112707
• T Sullivan, “Valuing health-related quality of life in New Zealand”, Emerging Researcher First Grants, Health Research Council of New Zealand (HRC), 2019-21
• T Sullivan, P Hansen, F Ombler, S Derrett & N Devlin, “A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’”, Economics Discussion Paper No 1903, University of Otago
• T Sullivan, F Ombler, N Devlin, S Derrett & P Hansen, “A new tool for creating personal and social EQ-5D-5L value sets: provisional results for New Zealand”, 35^th EuroQol Group Plenary Meeting, Lisbon, Portugal, 2018 (forthcoming)
• T Sullivan, J Ward, P Hansen et al, “A new approach for creating personal and social EQ-5D-5L value sets: provisional results from development and pilot-testing in New Zealand”, poster presentation and ‘brief pitch’, 3rd EuroQol Group Academy Meeting 2018, Budapest, Hungary, 2018 News »
• J Ward, “A new method for creating EQ-5D-5L value sets at individual and population levels based on the PAPRIKA method and 1000minds software: a pilot study, Master of Health Sciences (MHealSc) endorsed in Health Management thesis, 2017
• T Sullivan & P Hansen (2017), “Determining criteria and weights for prioritizing health technologies based on the preferences of the general population: A New Zealand pilot study”, Value in Health 20, 679-86

See more

Surgical Sciences

• J Chua, P Hansen, A Briggs et al (2020), “Stakeholders’ preferences for osteoarthritis interventions in health services: a cross-sectional study using multi-criteria decision analysis”, Osteoarthritis and Cartilage Open 2, 100110
• J Chua, P Hansen, A Briggs, & J Abbott (2019), abstract, 2019 OARSI World Congress on Osteoarthritis: Promoting Clinical and Basic Research in Osteoarthritis, Toronto, Canada, 2019, “What attributes of interventions for osteoarthritis drive preferences? A discrete choice experiment involving cross-sectoral and multi-disciplinary stakeholder groups”, Osteoarthritis and Cartilage 27, S302
• J Chua, P Hansen, A Briggs, R Wilson, D Gwynne-Jones & J Abbott (2019), abstract, 2019 OARSI World Congress on Osteoarthritis: Promoting Clinical and Basic Research in Osteoarthritis, Toronto, Canada, 2019, “Integrating values and preferences with the best available evidence: a multi-criteria decision analysis approach”, Osteoarthritis and Cartilage 27, S308-S309
• A Pathak, “Understanding factors influencing use of outcome measures in Nepal and developing a verbal Patient-Specific Functional Scale (v-PSFS-NP) in Nepali”, PhD thesis, 2018-21
• J Chua, “Bridging the gap between evidence and what people value from osteoarthritis care in New Zealand using multi-criteria decision analysis (MCDA)”, PhD thesis, 2016-21
• J-C Theis, A Panting, R Keddell & R Rowan, “New Zealand Orthopaedic Association (NZOA) Symposium 1: S19 Clinical Prioritization of Elective Orthopaedic Surgery”, Abstract, 13^th Meeting of the Combined Orthopaedic Associations, Cape Town, South Africa, 2016

Tourism

• S Pourfakhimi Abarghouei, “Consumers' hotel choice: revising the role of online user-generated ratings”, PhD thesis, 2015-19

Zoology

• T Byrne, “Development and comparison of breeding objective methodologies for the genetic improvement of sheep”, PhD thesis, 2009-12

University of Otago / Cornell University / AbacusBio / International Institute of Tropical Agriculture / National Root Crops Research Institute / University of Zaragoza

• I Balogun, F Garner, P Amer et al (2021), “From traits to typologies: Piloting new approaches to profiling trait preferences along the cassava value chain in Nigeria”, Crop Science, early online version

University of Otago / Kathmandu University / Northwestern University / Shirley Ryan AbilityLab / McMaster University

• A Pathak, S Sharma, A Heinemann et al (2020), “Development and assessment of a verbal response scale for the Patient-Specific Functional Scale (PSFS) in a low-literacy, non-western population”, Quality of Life Research, early online version

University of Otago / Ngāti Maniapoto / Southern District Health Board / Hutt Valley District Health Board

• M Roy, P Hansen, T Sullivan, F Ombler, M Kiore, A Stapleton & C Carr (2021), “Rapid development of a tool for prioritizing Covid-19 patients for intensive care” Critical Care Explorations 3, e0368

University of Otago / University of Tasmania / Northern Illinois University

• N Beatson, P Hansen, A Sen, P De Lange & N Churyk, “What’s important when learning accounting? A conjoint analysis into the attributes of successful accounting students”, research project, 2020-21

University of Oulu and CoHeWe (Co-Created Health and Wellbeing) Project

• N Keränen, “Health technology assessment of early digital health technologies in a co-creation process”, CoHeWe research project, 2019-20

University of Padova

• C Gagliardi, “Ecosan technologies”, Environmental Impact Assessment project, MSc Environmental Engineering, 2016
• S Pinchetti, “Comparison of source-separation and conventional sanitation systems using MCA”, 2016
• N Martinello, “Appropriate resource-oriented sanitation systems for small isolated Italian communities”, PhD (Environmental Engineering) thesis, 2015-

University of Parma

• E Maiolani, “The effects of packaging on perceived healthiness: survey in the category of biscuits”, Masters (Marketing) thesis, 2020-21

University of Queensland

• S Kern, “Demand driven breeding in macadamias: Proof of concept”, BSc (Plant Science) Honours thesis, 2020
• J Hill, “Patellofemoral osteoarthritis: A radiographic approach to diagnosis, assessment and management”, PhD (Medicine) thesis, 2018-
• T Derkley, "Assessing and comparing the welfare implications of two wild rhino conservation management programmes in South Africa", Bachelor of Science Honours thesis, 2016
• P Hodges, G Jull & M Nielsen, “Developing a website for people with low back pain – key messages”, research project, 2014-15

University of Queensland / Griffith University / Stellenbosch University

• T Derkley, D Biggs, M Holden & C Phillips (2019), “A framework to evaluate animal welfare implications of policies on rhino horn trade”, Biological Conservation 235, 236-49

University of Queensland /AbacusBio / Queensland Department of Agriculture and Fisheries

• S Kern, B Santos, B Topp et al (2021), “Using choice analysis of growers’ preferences to prioritize breeding traits in horticultural tree crops: a macadamia case study”, Scientia Horticulturae, early online version

University of South Africa

• A Wilson, “Welfare of African lion (Panthera leo) cubs used in wildlife tourism interaction activities”, PhD (Environmental Science) thesis, 2016-21

University of South Africa / Curtin University

• A Wilson & C Phillips (2021), “Identification and evaluation of African Lion (Panthera leo) cub welfare in wildlife-interaction tourism”, Animals 11, 2748

University of Southampton

• X Pierron (2019), “Contributing to the circular economy by applying behavioral economics for distinct urban mines exploitation”, PhD (Engineering and the Environment) thesis, 2015-19

University of Southern Denmark / Danish Technological Institute

• R H Andersen, “Evaluation of state-of-the-art interfaces for flexible robots – A usability study”, PhD project, 2015
• L Dalgaard, “Rational system-level design methodology for autonomous robotic systems”, PhD (Computer Science) thesis, 2011 (video clip in Danish)

University of Sussex

• S Babashahi, P Hansen, R Peeters & T Sullivan (2021), “A comparative study to evaluate the robustness of two prominent MCDA methods”, 22^nd Conference of the International Federation of Operational Research Societies 2021, Seoul, South Korea

University of Sydney

• D Hunter, A Evans, X Wang et al, “Prioritizing research areas for musculoskeletal health research”, 2017-18

University of Sydney / University of Melbourne / Royal North Shore Hospital

• D Hunter, P Nicolson, C Little et al (2019), “Developing strategic priorities in osteoarthritis research: Proceedings and recommendations arising from the 2017 Australian Osteoarthritis Summit”, BMC Musculoskeletal Disorders 20, 74

University of Sydney / University of Melbourne / Royal North Shore Hospital / Keele University / Amsterdam University of Applied Sciences

• J Eyles, D Hunter, K Bennell et al (2019), “Priorities for the effective implementation of osteoarthritis management programs: an OARSI international consensus exercise”, Osteoarthritis and Cartilage 27, 1270-79
• J Eyles, K Bennell, K Dziedzic et al (2019), abstract, 2019 OARSI World Congress on Osteoarthritis: Promoting Clinical and Basic Research in Osteoarthritis, Toronto, Canada, 2019, “Implementation priorities for osteoarthritis management programs”, Osteoarthritis and Cartilage 27, S307-S308

University of Tasmania

• P Boyd, “The utility of Multi-Criteria Decision Analysis (MCDA) to evaluate the relative merits of a wide range of negative emissions technologies”, Negative Emissions Conference: Integrating Industry, Technology and Society for Carbon Drawdown, Canberra, Australia, 2018

University of the Arts London

• K Darcy, Masters thesis project, 2019-20

University of Toronto

• L Avila, “Post-Thrombotic Syndrome in pediatrics: Development of a measurement index”, PhD (Clinical Epidemiology) thesis, 2017
• R Walsh, B Aliarzadeh & C Mastrogiacomo (2016), “Patient strength of preference for best practices in patient education”, Journal of Community Medicine & Health Education 6, 1-8
• L Avila, “Pediatric post-thrombotic syndrome project”, research project, 2015-
• S Johnson (2015), “New ACR EULAR Guidelines for Systemic Sclerosis Classification”, Current Rheumatology Reports 17, 1-8
• S Johnson, R Naden, J Fransen et al (2014), “Multicriteria decision analysis methods with 1000minds for developing systemic sclerosis classification criteria”, Journal of Clinical Epidemiology 67, 706-14

University of Trieste

• I Lasorsa, E Padoano, S Marceglia & A Accardo (2018), “Multi-criteria decision analysis for the assessment of non-clinical hospital services: Methodology and case study”, Operations Research for Health Care 23, early online version
• I Lasorsa, “Technology and service assessment tools in healthcare”, PhD thesis, 2015-16
• S Tona, “Supporting doctors in their choice of medical equipment for purchase”, Master of Clinical Engineering, 2016
• I Lasorsa, G Abis, B Podda & A Accardo (2015), “Multi-criteria decision analysis to redesign an Italian Clinical Engineering Service under specific needs and regulation requirements”, In: D Jaffray (editor), World Congress on Medical Physics and Biomedical Engineering, 2015, Toronto, Canada, IFMBE Proceedings 51, Springer International Publishing, 1562-5

University of Tübingen

• J Kuemmerle-Deschner, S Ozen, P Tyrell et al (2018), “Diagnosing cryopyrin-associated periodic syndromes (CAPS)”
• J Kuemmerle-Deschner, S Ozen, P Tyrrell et al (2017), “Diagnostic criteria for cryopyrin-associated periodic syndrome (CAPS)”, Annals of the Rheumatic Diseases 76, 942-77
• J Kuemmerle-Deschner, S Ozen, P Tyrrell et al (2015), “Development and validation of diagnostic criteria for cryopyrin associated periodic syndromes”, abstract, 2015 ACR/ARHP Annual Meeting, San Francisco, USA, 2015, Arthritis & Rheumatology 67(suppl10) News »

University of Twente

• N Abbink, N Klein Gunnewiek, L van Tiel & E Vrugteveen, “Multi-Criteria Decision Analysis - InFlow™ intraurethral valve-pump and activator vs clean intermittent self-catheterization for patients with impaired detrusor contractility”, Master of Health Sciences project, 2016
• P Daccache, “Redesign of The Hogecamp”, Bachelor of Civil Engineering, research project, 2015

University of Verona

• L Luzi Crivellini, “The ERAQ – Early Rheumatoid Arthritis Questionnaire: the process of formulating a questionnaire for general practitioners intended for the rapid referral of patients with very early arthritis to the competent clinic”, Masters thesis, 2019-20

University of Warwick

• A Karunaratne, “The use of MCDA to provide a solution for contaminated soil remediation”, MEng (Civil Engineering) 3rd-year project, 2015

University of Western Ontario

• A Abuhussein, “Wastewater refining for agriculture and city-level water decision-making”, PhD (Civil and Environmental Engineering), 2016-

University of Western Ontario / University of Toronto

• J Pope & S Johnson (2015), “New classification criteria for systemic sclerosis (scleroderma)”, Rheumatic Disease Clinics of North America 41, 383-98

University of Wollongong

• S Alismaili, M Li, J Shen & Q He (2017), “A consumer-oriented decision-making approach for selecting the cloud storage service: From PAPRIKA perspective”, In: M Fan, J Heikkilä, H Li, M Shaw & H Zhang (editors), pp. 1-12, Internetworked World, Lecture Notes in Business Information Processing 296, Revised Selected Papers from 15th Workshop on e-Business, WeB 2016, Dublin, Ireland, 2016
• S Alismaili, M Li & J Shen (2016), “Cloud computing adoption decision modelling for SMEs: From the PAPRIKA perspective”, In: J Hung, N Yen & K-C Li (editors), pp. 597-615, Frontier Computing: Theory, Technologies and Applications, Lecture Notes in Electrical Engineering 375, proceedings of the 4th International Conference on Frontier Computing, Bangkok, Thailand, 2015
• S Al-Ismaili, “Factors affecting adoption of cloud computing in Australia”, PhD (Information Systems) thesis, 2014-

University of Wollongong / Swinburne University of Technology

• S Al Isma’ili, M Li, J Shen & Q He (2016), “Cloud computing adoption decision modelling for SMEs: a conjoint analysis”, International Journal of Web and Grid Services 12, 296-327

University of Zagreb

• N Kadoić, N Begičević Ređep & B Divjak, “Structuring e-learning multi-criteria decision making problems”, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, Croatia, 2017
• B Divjak, N Kadoić and colleagues, “Development of a methodological framework for strategic decision-making in higher education – a case of open and distance learning (ODL) implementation”, 2015
• A Kramo, “Customers’ pricing decisions and future profit planning”, MBA, 2009

University of Žilina

• M Titko, “Impacts of threats on the functionality of the transport critical infrastructure”, Proceedings of 22^nd International Scientific Conference, Transport Means, Trakai, Lithuania, 2018

Utrecht University / Netherlands National Institute for Public Health and the Environment

• C Van der Sluis, “The integration of climate change in a prioritization method for emerging risks to drinking water quality”, Master’s thesis, 2019

Uva Wellassa University of Sri Lanka / RMIT University

• N Deyshappriya & S Feeny (2021), “Weighting the Dimensions of the Multidimensional Poverty Index: Findings from Sri Lanka”, Social Indicators Research, 1-19, early online version

VERN' University of Applied Sciences

• M Vilajtović, “Software tools for decision making”, Master of IT Management project, 2015

Verona University Hospital

• P De Nardo, E Gentilotti, F Mazzaferri et al and COVID-19 MCDA Group (2020), “Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage”, International Journal of Infectious Diseases 98, 494-500

Victoria University of Wellington

• C Baggott, “Investigation of two treatment regimens in adults with mild asthma”, PhD (respiratory medicine) thesis, 2020
• F Skilton, “The influence of country of origin, environmental issues and fair trade on consumer purchase decisions”, International Business Honours dissertation, 2012

Virginia Commonwealth University

• P Parab, “Development and validation of predictive risk and multiple criteria decision analysis models to evaluate cardiovascular outcomes among cancer patients”, PhD (Pharmaceutical Sciences) thesis, 2018-20
• HR Weistroffer & Y Li (2016), “Multiple criteria decision analysis software”, Chapter 12, In: S Greco, M Ehrgott & JR Figueira (editors), Multiple Criteria Decision Analysis. State of the Art Surveys, International Series in Operations Research & Management Science 233, 1301-41

Virginia Tech

• Y Shahtaheri, “A decision-support system for multi-hazard resilient and sustainable buildings”, PhD (Construction Engineering and Management) thesis, 2016-

VTT Technical Research Centre of Finland / University of Modena and Reggio Emilia / “Politehnica” University of Timișoara / Technical University of Cluj-Napoca

• S Hadjidimitriou & R Öörni, “A framework for appraising European member states’ readiness level for eCall deployment”, 2015 IEEE 18^th International Conference on Intelligent Transportation Systems, Gran Canaria, Spain, 2015
• A Botici, V Ungureanu, A Ciutina et al (2014), “Sustainably challenges of residential reinforced-concrete panel buildings”, Urbanism. Arhitectură. Construcţii 5, 83-98
• L Fülöp, “Opportunities in sustainably retrofitting of the large panel reinforced concrete building stock”, research project, 2013

Wageningen University

• Y Nareswari, “Designing preferable diets using mathematical modeling: A review of preference elicitation methods”, MSc (Food Quality Management) thesis, 2015-17

Waikato District Health Board

• D White, K Solanki, V Quincey et al (2015), “Development of a multi-dimensional additive points system for determining access to rheumatology services”, Journal of Clinical Rheumatology 21, 239-43 News »
• D White, R Naden, A Doube et al (2014), “Development of a referral triage system for determining access to a public hospital rheumatology service”, ARA Scientific Posters, Australian Rheumatology Association-Rheumatology Health Professionals Association 55th Annual Scientific Meeting, Hobart, Australia, Internal Medicine Journal 44(suppl S2), 10-37 News »

Wheaton College

• P Isihara, C Shi, J Ward et al (2020), “Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations”, Journal of Choice Modelling 35,100204

World Health Organization

• K Weyer, E Tacconelli, N Magrini & Co-ordinating Group (2017), “Prioritization of pathogens to guide discovery, research and development of new antibiotics for drug-resistant bacterial infections, including tuberculosis”, World Health Organization (WHO/EMP/IAU/2017.12) News3 »
• A Bentsi-Enchill & J Clemens on behalf of the Ad Hoc Working Group on Immunization Implementation Research Prioritization, “Immunization implementation research priority setting”, Department of Immunization, Vaccines & Biologicals (IVB), Strategic Advisory Group of Experts (SAGE) Meeting, Geneva, Switzerland, 2013

World Health Organization / University of Tübingen

• E Tacconelli, E Carrara, A Savoldi et al and the WHO Pathogens Priority List working group (2018), “Discovery, research, and development of new antibiotics: the WHO priority list of antibiotic-resistant bacteria and tuberculosis”, The Lancet Infectious Diseases 18, 318-27 News1 » News2 » News3 »
• E Tacconelli, N Magrini & Co-ordinating Group, “Global priority list of antibiotic-resistant bacteria to guide research, discovery, and development of new antibiotics”, WHO Short Summary, 2017 News1 » News2 »

WorldFish

• M Mehar, “Gender preferences of and impacts on women and men fish farmers regarding genetically-enhanced fish”, Post-Doctoral Fellowship project, 2018

Worldfish / Ain Shams University / CSIRO Agriculture and Food / University College Cork

• M Mehar, M Wagdy, C McDougall & J Benzie (2022), “Preferences for rohu fish (L. rohita) traits of women and men from farming households in Bangladesh and India”, Aquaculture 547, 737480
• M Mehar , M Wagdy, C McDougall & J Benzie (2018), “Gender differentiated needs and preferences of farmers for rohu fish in Bangladesh and India”, abstract, p. 17, In: N Gopal, M Williams & K Kusakabe (editors), GAF7: Expanding the Horizons. Book of Abstracts, The 7^th Global Conference on Gender in Aquaculture & Fisheries, Bangkok, Thailand, 2018

XLRI – Xavier School of Management

• R Sheel, “Decision-making choices among academicians in selecting an academic conference to attend”, research project, 2015

Yarmouk University

• A Sawalmeh, “The impact of incorporating uncertainty into the decision-making process on decision-making satisfaction”, MSc (Management Information Systems) graduation project, 2015

Yasuda Women’s University / Manipal Academy of Higher Education / University of Otago / Govinda Pai Memorial Government College

• J Romão, P Seal, P Hansen, S Joseph & S Piramanayagam (2021), “Stakeholder-based conjoint analysis for branding wellness tourism in Kerala, India”, Asia-Pacific Journal of Regional Science, forthcoming
• J Romão, P Seal, P Hansen, S Joseph & S Piramanayagam, “Co-creating a destination branding strategy for wellness tourism in Kerala”, The 58^th Annual Meeting of the Japan Section of the RSAI, Regional Science Association International, 2021, Kōchi, Japan

Zeppelin University

• F Grünewald, “Consumer willingness to pay for sustainable packaging”, BA in Sociology, Politics and Economics thesis, 2018
• A Müller, “Sustainable marketing: impact of different brand positioning strategies on customers’ buying behavior exemplified by a fictitious fashion brand”, BA Communication, Culture & Management thesis, 2017

Zhejiang University / Indian Institute of Technology Guwahati / Visvesvaraya National Institute of Technology / University of Pretoria

• A Kumar, B Sah, A Singh et al (2017), “A review of multi criteria decision making (MCDM) towards sustainable renewable energy development”, Renewable and Sustainable Energy Reviews 69, 596-609

Zurich University of Applied Sciences (ZHAW)

• M Rüger, “Entwicklung eines Serviceangebots zur Reduzierung des Versorgungsrisikos für medizinisches Verbrauchsmaterial” (Development of a service to reduce the supply risk for medical consumables), Master of Advanced Studies in Business Analysis thesis, 2020-21
• J Schaad, B Hindelang, F Huber, C Spycher & N Metzger, “A conjoint analysis into the sustainability of tourist destinations in the Swiss Alps”, project, 2016

Want to use 1000minds?

We support academics and students with discounted academic licenses and academic awards. And see potential research ideas if you’re looking for inspiration.

Please contact us if you’d like to use 1000minds for teaching – and we can send you a dedicated URL for your students to quickly enroll for their own user accounts so they can use 1000minds (e.g. class project).

Research citation

To mention 1000minds in your research, we recommend a reference like this:

1000minds (2021), 1000minds decision-making and conjoint analysis software, https://www.1000minds.com.

The reference for the article explaining the PAPRIKA method underpinning 1000minds is:

P Hansen & F Ombler (2008), “A new method for scoring multi-attribute value models using pairwise rankings of alternatives”, Journal of Multi-Criteria Decision Analysis 15, 87-107.