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Statistical brand switching model: an Hidden Markov approach

Author

Listed:
  • K. Kumaraswamy

    (Kaloji Narayana Rao University of Health Sciences)

  • N. Ch. Bhatracharyulu

    (Osmania University)

Abstract

Customer’s choice study described as the state of decisions and actions which influence the purchase behavior. The purchase process is influenced by inheritably hidden factors that create stimuli to purchase repeatedly or switching among the products. A statistical model is constructed to capture and quantify the relationships between the attitudes of the consumers. The statistical model used for the estimating the optimum possible sequence probabilities in repeat purchase and switching behavior.

Suggested Citation

  • K. Kumaraswamy & N. Ch. Bhatracharyulu, 2023. "Statistical brand switching model: an Hidden Markov approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 942-950, June.
    • Handle: RePEc:spr:opsear:v:60:y:2023:i:2:d:10.1007_s12597-022-00613-0
    DOI: 10.1007/s12597-022-00613-0
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    References listed on IDEAS

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    1. A. S. C. Ehrenberg, 1959. "The Pattern of Consumer Purchases," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 8(1), pages 26-41, March.
    2. Richard A. Colombo & Donald G. Morrison, 1989. "Note—A Brand Switching Model with Implications for Marketing Strategies," Marketing Science, INFORMS, vol. 8(1), pages 89-99.
    3. John F. Stewart, 1979. "The Beta Distribution as a Model of Behavior in Consumer Goods Markets," Management Science, INFORMS, vol. 25(9), pages 813-821, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Consumer behavior; Hidden Markov model; Loyalty; Repeated purchase; Switching pattern;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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