1000minds
Developer(s) | 1000minds Ltd |
---|---|
Initial release | 2003 |
Operating system | Web application |
Available in | English |
Type | Decision-making software, Business intelligence, Conjoint analysis, Choice modelling |
License | Proprietary |
Website | www |
1000minds is a web application for decision-making and conjoint analysis supplied by 1000minds Ltd since 2003.[1][2][3][4][5][6]
1000minds implements the PAPRIKA method to help business, government and non-profit users to make decisions based on considering multiple objectives or criteria (i.e., multiple-criteria decision analysis). 1000minds conjoint analysis involves surveying people about their preferences with respect to the relative importance of features or attributes characterizing products or other objects of interest.
In addition, a free consumer-oriented web application based on 1000minds technology to help with 'everyday' decision-making, known as MeenyMo, was released in 2016.[2][7]
Overview
[edit]1000minds helps with decisions that involve ranking, prioritizing or choosing between alternatives when multiple objectives or criteria need to be considered simultaneously (i.e., multi-criteria decision making). Depending on the application, budgets or other scarce resources can also be allocated across competing alternatives in pursuit of maximum 'value for money'.[1][2][3]
The PAPRIKA method is used to determine the relative importance of criteria or attributes and rank alternatives.[8] Invented by Franz Ombler and Paul Hansen at the University of Otago,[9] the PAPRIKA method is based on pairwise comparisons, as illustrated in the accompanying image.
1000minds is also for group decision-making, involving potentially hundreds or thousands of participants – working together or individually with their results aggregated.
1000minds conjoint analysis surveys are for discovering consumers' or other stakeholders' preferences with respect to the relative importance – represented by 'part-worth utilities' or 'weights' – of the features or attributes characterizing products or other objects of interest (i.e., choice modelling, conjoint analysis and discrete choice).[4][5]
Applications
[edit]As well as business, government and non-profit organizations, as evidenced by the citations below, 1000minds is used for research at over 180 universities worldwide, including for teaching.[10] 1000minds (originally branded as Point Wizard) and several of its applications have won or been a finalist for a number of innovation awards.[11][12][13][14][15]
Areas in which 1000minds is used include the following notable examples.
Health
[edit]- Prioritising patients for elective (non-urgent) surgery,[16][17][18] rheumatology[19][20][21] and nephrology, geriatrics and gastroenterology[22]
- Identifying criteria for diagnosing and classifying rheumatoid arthritis,[23][24][25] systemic sclerosis,[26][27][28][29][30] gout,[31][32] autoinflammatory disease,[33] cryopyrin-associated periodic syndrome,[34][35] dermatomyositis and polymyositis,[36] pediatric post-thrombotic syndrome,[37] systemic lupus erythematosus,[38] Sjögren's syndrome[39][40] and glucocorticoid toxicity[41]
- Measuring patient responses in clinical trials for chronic gout[42][43]
- Testing physical function for patients following hip or knee replacement[44] and educating people with osteoarthritis[45][46][47]
- Developing clinical guidelines for treatment[48][49][50][51]
- Health technology prioritization[52][53][54][55][56][57]
- Prioritizing antibiotic-resistant diseases for R&D[58]
Environment
[edit]- Environmental resources management for the ocean[59][60][61]
- Restoration of endangered plant species[62]
- Ecology research ethics[63]
- Sustainable agriculture[64]
Urban planning and waste management
[edit]Breeding
[edit]Policy-making research
[edit]- Monetary policy research[75]
- Retirement income policies research[76]
Management and accounting
[edit]- Corporate strategic management[77]
- Measuring business goodwill[78]
Information and communication technology (ICT)
[edit]Miscellaneous
[edit]- Marketing research for mobile banking[80] and fruit juice[81]
- Energy-efficiency decision-making[82][83][84]
- Tourism development[85]
- Evaluating decision-making software[86]
- Research into charitable-giving[87][88]
- Flipped classroom design[89]
References
[edit]- ^ a b Weistroffer, H. Roland; Li, Yan (2016). "Multiple Criteria Decision Analysis Software". Multiple Criteria Decision Analysis. International Series in Operations Research & Management Science. Vol. 233. Springer, New York, NY. pp. 1301–1341. doi:10.1007/978-1-4939-3094-4_29. ISBN 978-1-4939-3093-7.
- ^ a b c Oleson, S. (2016), "Decision analysis software survey", OR/MS Today, vol. 43, no. 5
- ^ a b Amoyal, J. (2018), "Decision analysis software survey", OR/MS Today, vol. 45, no. 5, doi:10.1287/orms.2018.05.13, S2CID 642562
- ^ a b c Smith, K. F.; Fennessy, P. F. (2011). "The use of conjoint analysis to determine the relative importance of specific traits as selection criteria for the improvement of perennial pasture species in Australia". Crop and Pasture Science. 62 (4): 355–65. doi:10.1071/CP10320.
- ^ a b c Isma', Salim Al; ili, N.A.; Li, Mengxiang; Shen, Jun; He, Qiang (2016). "Cloud computing adoption decision modelling for SMEs: a conjoint analysis". International Journal of Web and Grid Services. 12 (3): 296. doi:10.1504/ijwgs.2016.079157.
- ^ "1000minds Limited". New Zealand Companies Office. Retrieved 2023-12-18.
- ^ Fielding, D.; Hansen, P., eds. (August 2016). "Better decision-making!". EcoNZ (37): 7.
- ^ Hansen, P.; Ombler, F. (2008). "A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives". Journal of Multi-Criteria Decision Analysis. 15 (3–4): 87–107. doi:10.1002/mcda.428.
- ^ Scott, L. (April 2008), "Minds over Matter", North and South, pp. 28–29
- ^ "Universities – 1000Minds". 1000Minds. Retrieved 10 July 2017.
- ^ "Dunedin's 1000Minds wins award in Sydney". The National Business Review. 2 May 2007. Archived from the original on 2017-11-10. Retrieved 10 July 2017.
- ^ "1000Minds". consensus.com.au. Archived from the original on 15 February 2017. Retrieved 10 July 2017.
- ^ "TUANZ announces Innovation Awards finalists". Computerworld New Zealand. Retrieved 10 July 2017.
- ^ Day, Stacey. "Valid, transparent and fair decision-making processes for access to elective health care • Health Improvement and Innovation Resource Centre". www.hiirc.org.nz. Archived from the original on 10 November 2017. Retrieved 10 July 2017.
- ^ Wagstaff, Adam (21 September 2005). "Asian Innovation Awards: contenders stress different ways of thinking". The Asian Wall Street Journal.
- ^ Hansen, Paul; Hendry, Alison; Naden, Ray; Ombler, Franz; Stewart, Ralph (2012). "A new process for creating points systems for prioritising patients for elective health services". Clinical Governance. 17 (3): 200–209. doi:10.1108/14777271211251318.
- ^ Taylor, William J.; Laking, George (2010). "Value for money – recasting the problem in terms of dynamic access prioritisation". Disability & Rehabilitation. 32 (12): 1020–1027. doi:10.3109/09638281003775535. PMID 20380596. S2CID 30265587.
- ^ Gwynne-Jones, David P.; Iosua, Ella E.; Stout, Kirsten M. (1 May 2016). "Rationing for Total Hip and Knee Arthroplasty Using the New Zealand Orthopaedic Association Score: Effectiveness and Comparison With Patient-Reported Scores". The Journal of Arthroplasty. 31 (5): 957–962. doi:10.1016/j.arth.2015.11.022. ISSN 0883-5403. PMID 26944014.
- ^ Fitzgerald, Avril; Spady, Barbara Conner; DeCoster, Carolyn; Naden, Ray; Hawker, Gillian A.; Noseworthy, Thomas (October 2009). "WCWL Rheumatology Priority Referral Score Reliability and Validity Testing". Arthritis & Rheumatism. 60 (Suppl 10): 54. doi:10.1002/art.25137 (inactive 2024-09-18). Archived from the original on 2016-03-03.
{{cite journal}}
: CS1 maint: DOI inactive as of September 2024 (link) - ^ Fitzgerald, Avril; de Coster, Carolyn; McMillan, Stewart; Naden, Ray; Armstrong, Fraser; Barber, Alison; Cunning, Les; Conner-Spady, Barbara; Hawker, Gillian; Lacaille, Diane; Lane, Carolyn; Mosher, Dianne; Rankin, Jim; Sholter, Dalton; Noseworthy, Tom (2011). "Relative urgency for referral from primary care to rheumatologists: The Priority Referral Score". Arthritis Care & Research. 63 (2): 231–239. doi:10.1002/acr.20366. ISSN 2151-464X. PMID 20890984. S2CID 205221379.
- ^ White, Douglas; Solanki, Kamal; Quincey, Vicki; Minett, Andrew; Tam, Gordon; Doube, Alan; Naden, Ray (2015). "Development of a Multidimensional Additive Points System for Determining Access to Rheumatology Services". Journal of Clinical Rheumatology. 21 (5): 239–243. doi:10.1097/RHU.0000000000000274. ISSN 1076-1608. PMID 26203827. S2CID 32974482.
- ^ Noseworthy, T; De Coster, C; Naden, R (2009). Priority-setting tools for improving access to medical specialists (PDF). 6th Health Technology Assessment International Annual Meeting. Annals, Academy of Medicine, Singapore. Vol. 38. Singapore. p. S78. Archived from the original (PDF) on 2016-03-03.
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- ^ de Lautour, Hugh; Taylor, William J.; Adebajo, Ade; Alten, Rieke; Burgos-Vargas, Ruben; Chapman, Peter; Cimmino, Marco A.; da Rocha Castelar Pinheiro, Geraldo; Day, Ric; Harrold, Leslie R.; Helliwell, Philip; Janssen, Matthijs; Kerr, Gail; Kavanaugh, Arthur; Khanna, Dinesh; Khanna, Puja P.; Lin, Chingtsai; Louthrenoo, Worawit; McCarthy, Geraldine; Vazquez-Mellado, Janitzia; Mikuls, Ted R.; Neogi, Tuhina; Ogdie, Alexis; Perez-Ruiz, Fernando; Schlesinger, Naomi; Ralph Schumacher, H.; Scirè, Carlo A.; Singh, Jasvinder A.; Sivera, Francisca; Slot, Ole; Stamp, Lisa K.; Tausche, Anne-Kathrin; Terkeltaub, Robert; Uhlig, Till; van de Laar, Mart; White, Douglas; Yamanaka, Hisashi; Zeng, Xuejun; Dalbeth, Nicola (May 2016). "Development of Preliminary Remission Criteria for Gout Using Delphi and 1000Minds Consensus Exercises". Arthritis Care & Research. 68 (5): 667–672. doi:10.1002/acr.22741. hdl:2027.42/134851. PMID 26414176. S2CID 13512657.
- ^ Rider, Lisa G.; Aggarwal, Rohit; Pistorio, Angela; Bayat, Nastaran; Erman, Brian; Feldman, Brian M.; Huber, Adam M.; Cimaz, Rolando; Cuttica, Rubén J.; Oliveira, Sheila Knupp de; Lindsley, Carol B.; Pilkington, Clarissa A.; Punaro, Marilynn; Ravelli, Angelo; Reed, Ann M.; Rouster-Stevens, Kelly; Royen-Kerkhof, Annet van; Dressler, Frank; Magalhaes, Claudia Saad; Constantin, Tamás; Davidson, Joyce E.; Magnusson, Bo; Russo, Ricardo; Villa, Luca; Rinaldi, Mariangela; Rockette, Howard; Lachenbruch, Peter A.; Miller, Frederick W.; Vencovsky, Jiri; Ruperto, Nicolino (1 May 2017). "2016 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 (5): 782–791. doi:10.1136/annrheumdis-2017-211401. ISSN 0003-4967. PMC 5517365. PMID 28385804.
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