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Modified Nominal Group Technique For Group Decision-Making


  • Rafikul Islam

    () (International Islamic University Malaysia)


Nominal Group Technique is a useful tool to solve group decision-making problems. The technique generates and subsequently prioritizes a large number of ideas in a group setting. It has the following steps: (i) statement of the question pertaining to the issue; (ii) silent generation of ideas in writing; (iii) round-robin recording of ideas; (iv) serial discussion on the ideas; (v) voting to select the most important ideas, and vi. discussion on the selected ideas. In the fifth step, the participants need to find out and subsequently rank the five most important ideas. In the existing framework of the methodology, there is no guidance to select the best five ideas, rather they (the participants) have to do it by a holistic approach. By means of two experiments, this research proposes and substantiates the use of the Analytic Hierarchy Process to guide the participants to choose and rank the best five ideas. This is expected to give more rigor to the technique and continue to remain effective in solving group decision-making problems in diverse areas. The paper has further explored the issues related to Muslims that can be resolved through the proposed modified technique.

Suggested Citation

  • Rafikul Islam, 2002. "Modified Nominal Group Technique For Group Decision-Making," IIUM Journal of Economics and Management, IIUM Journal of Economis and Management, vol. 10(2), pages 151-178, August.
  • Handle: RePEc:ije:journl:v:10:y:2002:i:2:p:151-178

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    References listed on IDEAS

    1. Wen S. Chern & Kimiko Ishibashi & Kiyoshi Taniguchi & Yuki Tokoyama, 2002. "Analysis of Food Consumption Behavior by Japanese Households," Working Papers 02-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    2. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
    3. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-356, May.
    4. Eric J. Wailes & Gail L. Cramer, 1997. "A Microeconometric Analysis of Consumer Taste Determination and Taste Change for Beef," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 573-582.
    5. Pomboza, Ruth & Mbaga, Msafiri Daudi, 2007. "The Estimation of Food Demand Elasticities in Canada," Economic and Market Information 52705, Agriculture and Agri-Food Canada.
    6. Tey Yeong Sheng & Mad Nasir Shamsudin & Zainalabidin Mohamed & Amin Mahir Abdullah & Alias Radam, 2008. "A Complete Demand System of Food in Malaysia," The IUP Journal of Agricultural Economics, IUP Publications, vol. 0(3), pages 17-29, July.
    7. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
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    More about this item


    Nominal group technique; Analytic hierarchy process; Group decision-making;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis


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