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1000minds

1000minds
Developer(s)1000minds Ltd
Initial release2003 (2003)
Operating systemWeb application
Available inEnglish
TypeDecision-making software, Business intelligence, Conjoint analysis, Choice modelling
LicenseProprietary
Websitewww.1000minds.com

1000minds is a web application for decision-making[1][2] and conjoint analysis[3][4] supplied by 1000minds Ltd since 2003.[5]

1000minds implements the PAPRIKA method to help organizations, individuals and groups 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.[6][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]

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.

Example of a 1000minds pairwise comparison (trade-off question)

An AI assistant was added to 1000minds in 2023, implementing OpenAI’s GPT-4 technology.[10] The AI assistant suggests criteria and examples of alternatives for the decision at hand; and then the user’s personal preferences or expert knowledge with respect to the relative importance of the criteria are elicited using PAPRIKA, resulting in the alternatives being ranked.

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).

Applications

As well as business, government and non-profit organizations, 1000minds is used for research, as evidenced by the citations below – at over 750 universities and other research organizations worldwide, including for teaching.[11] 1000minds (originally branded as Point Wizard) and several of its applications have won or been a finalist for a number of innovation awards.[10][12][13][14][15][16]

Examples of areas in which 1000minds has been used include the following.

Health

Environment

Urban planning and waste management

Breeding

Policy-making research

Management and accounting

Information and communication technology (ICT)

Miscellaneous

References

  1. ^ 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.
  2. ^ a b Beekman, J. (2020), "2020 Decision analysis software survey", OR/MS Today, vol. 47, no. 6, doi:10.1287/orms.2020.06.04
  3. ^ Smith, K. 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: 355. doi:10.1071/CP10320.
  4. ^ Murphy, Seamus; Cole, Steven M.; Kaminski, Alexander M.; Charo-Karisa, Harrison; Basiita, Rose Komugisha; McDougall, Cynthia; Kakwasha, Keagan; Mulilo, Tabitha; Rajaratnam, Surendran; Mekkawy, Wagdy (2024). "A gendered conjoint analysis of tilapia trait preference rankings among urban consumers in Zambia: Evidence to inform genetic improvement programs". Aquaculture. 591: 741110. Bibcode:2024Aquac.59141110M. doi:10.1016/j.aquaculture.2024.741110.
  5. ^ "1000minds Limited". New Zealand Companies Office.
  6. ^ Oleson, S. (2016), "Decision analysis software survey", OR/MS Today, vol. 43, no. 5
  7. ^ Fielding, D.; Hansen, P., eds. (August 2016). "Better decision-making!". EcoNZ (37): 7.
  8. ^ 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.
  9. ^ Scott, L. (April 2008), "Minds over Matter", North and South, pp. 28–29
  10. ^ a b Rae, Sally (23 May 2024). "Otago companies up for Hi-Tech Awards". Otago Daily Times. New Zealand: Allied Press.
  11. ^ "Research projects – 1000minds". 1000minds. Retrieved 22 January 2025.
  12. ^ "Dunedin's 1000Minds wins award in Sydney". The National Business Review. 2 May 2007. Retrieved 22 January 2025.
  13. ^ "1000Minds". consensus.com.au. Retrieved 22 January 2025.
  14. ^ "TUANZ announces Innovation Awards finalists". Computerworld New Zealand. 2005.
  15. ^ 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. Retrieved 22 January 2025.
  16. ^ Wagstaff, Adam (21 September 2005). "Asian Innovation Awards: contenders stress different ways of thinking". The Asian Wall Street Journal.
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Information related to 1000minds

1000minds
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