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.
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References
Abbasimehr, H., Shabani, M.: A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques. J. Ambient. Intell. Humaniz. Comput 12, 515–531 (2021)
Chatfield, C., Ehrenberg, A.S.C., Goodhardt, G.J.: Progress on a simplified model of stationary purchasing behaviour. J. R. Stat. Soc. Ser. C (Applied Statistics) 129(3), 317–367 (1966)
Chatfield, C., Goodhardt, G.J.: The Beta–binomial model for consumer purchasing behaviour. J. R. Stat. Soc. Ser -C (Applied Statistics) 3, 240–250 (1970)
Colombo, R.A., Morrison, D.G.: Note–a brand switching model with implications for marketing strategies. Mark. Sci. 8(1), 89–99 (1989)
Ehrenberg, A.S.C.: The pattern of consumer purchases. J. R. Stat. Soc. Ser. -C (Applied Statistics) 1, 26–41 (1959)
Ehrenberg, A.S.C., Goodhardt, G.J., Chatfield, C.: The dirichlet: a comprehensive model of buying behaviour. J. R. Stat. Soc. Ser. A 147(5), 621–655 (1984)
Kumaraswamy, K., Bhatra Charyulu, NCh.: On stochastic distribution of repeated purchase consumers. Int. J. Agricult. Stat. Sci 15(2), 841–846 (2019)
Lipstein, B.A.: Mathematical model of consumer behavior. J. Mark. Res. 2(3), 259–265 (1965)
Stewart, F.J.: The Beta distribution as a model of behaviour in consumer goods markets. Manag. Sci. 25(9), 813–821 (1979)
Tanaka, T.: A partially observable discrete-time Markov decision process with a fractional discounted reward. J. Inform. Optim. Sci. Ser 38(1), 21–37 (2017)
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Kumaraswamy developed the model and drafted the paper. Bhatracharyulu provided the strategic guidance, oversaw the analysis and writing of the paper. Both authors contributed to the article in writing, reviewing, read and approved the submitted version of the manuscript.
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Kumaraswamy, K., Bhatracharyulu, N.C. Statistical brand switching model: an Hidden Markov approach. OPSEARCH 60, 942–950 (2023). https://doi.org/10.1007/s12597-022-00613-0
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DOI: https://doi.org/10.1007/s12597-022-00613-0