Английская Википедия:1000minds
Шаблон:Infobox software 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
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
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
- 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][58]
- Prioritizing antibiotic-resistant diseases for R&D[59]
Environment
- Environmental resources management for the ocean[60][61][62]
- Restoration of endangered plant species[63]
- Ecology research ethics[64]
- Sustainable agriculture[65]
Urban planning and waste management
Breeding
Policy-making research
- Monetary policy research[76]
- Retirement income policies research[77]
Management and accounting
- Corporate strategic management[78]
- Measuring business goodwill[79]
Information and communication technology (ICT)
Miscellaneous
- Marketing research for mobile banking[81] and fruit juice[82]
- Energy-efficiency decision-making[83][84][85]
- Tourism development[86]
- Evaluating decision-making software[87]
- Research into charitable-giving[88][89]
- Flipped classroom design[90]
References
- ↑ 1,0 1,1 Шаблон:Cite book
- ↑ 2,0 2,1 2,2 Шаблон:Citation
- ↑ 3,0 3,1 Шаблон:Citation
- ↑ 4,0 4,1 4,2 Шаблон:Cite journal
- ↑ 5,0 5,1 5,2 Шаблон:Cite journal
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- ↑ Smith, Christie (2009), "Revealing monetary policy preferences" Шаблон:Webarchive, Reserve Bank of New Zealand Discussion Paper Series, DP2009/01;
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