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Deriving consensus rankings via multicriteria decision making methodology

Author

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  • Amy Poh Ai Ling
  • Mohamad Nasir Saludin
  • Masao Mukaidono

Abstract

Purpose - This paper seeks to take a cautionary stance to the impact of the marketing mix on customer satisfaction, via a case study deriving consensus rankings for benchmarking on selected retail stores in Malaysia. Design/methodology/approach - The ELECTRE I model is used in deriving consensus rankings via multicriteria decision making method for benchmarking base on the marketing mix model 4P's. Descriptive analysis is used to analyze best practice among the four marketing tactics. Findings - Outranking methods in consequence constitute a strong base on which to found the entire structure of the behavioral theory of benchmarking applied to development of marketing strategy. Research limitations/implications - This study looks only at a limited part of the puzzle of how consumer satisfaction translates into behavioral outcomes. Practical implications - The study provides managers with guidance on how to generate a rough outline of potential marketing activities that can be used to take advantage of capabilities and convert weaknesses and threats. Originality/value - The paper interestingly portrays the effective usage of multicriteria decision-making and ranking method to help marketing managers predict their marketing trends.

Suggested Citation

  • Amy Poh Ai Ling & Mohamad Nasir Saludin & Masao Mukaidono, 2012. "Deriving consensus rankings via multicriteria decision making methodology," Papers 1201.1604, arXiv.org.
    • Handle: RePEc:arx:papers:1201.1604
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    References listed on IDEAS

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    3. Lucio Biggiero & Domenico Laise, 2003. "Choosing and evaluating technology policy: A multicriteria approach," Science and Public Policy, Oxford University Press, vol. 30(1), pages 13-23, February.
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