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1000minds
Developer(s)1000minds Ltd
Initial release2003 (2003)
Operating system Web application
Available inEnglish
Type Decision-making software, Business intelligence, Conjoint analysis, Choice modelling
License Proprietary
Website www.1000minds.com

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.

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

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

Environment

Urban planning and waste management

Breeding

Policy-making research

Management and accounting

Information and communication technology (ICT)

Miscellaneous

References

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  2. ^ a b c Oleson, S. (2016), "Decision analysis software survey", OR/MS Today, vol. 43, no. 5
  3. ^ 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
  4. ^ 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.
  5. ^ 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.
  6. ^ "1000minds Limited". New Zealand Companies Office. Retrieved 2023-12-18.
  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
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Retrieved from " https://en.wikipedia.org/?title=1000minds&oldid=1225543727"
From Wikipedia, the free encyclopedia
1000minds
Developer(s)1000minds Ltd
Initial release2003 (2003)
Operating system Web application
Available inEnglish
Type Decision-making software, Business intelligence, Conjoint analysis, Choice modelling
License Proprietary
Website www.1000minds.com

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.

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

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

Environment

Urban planning and waste management

Breeding

Policy-making research

Management and accounting

Information and communication technology (ICT)

Miscellaneous

References

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  2. ^ a b c Oleson, S. (2016), "Decision analysis software survey", OR/MS Today, vol. 43, no. 5
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  5. ^ 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.
  6. ^ "1000minds Limited". New Zealand Companies Office. Retrieved 2023-12-18.
  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
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  21. ^ 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.
  22. ^ 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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