Statistical brand switching model: an Hidden Markov approach

被引：2

作者：

Kumaraswamy, K. ^{[1
]}

Bhatracharyulu, N. Ch. ^{[2
]}

机构：

[1] Kaloji Narayana Rao Univ Hlth Sci, Warangal, India

[2] Osmania Univ, Univ Coll Sci, Dept Stat, Hyderabad, India

来源：

OPSEARCH | 2023年 / 60卷 / 02期

关键词：

Consumer behavior; Hidden Markov model; Loyalty; Repeated purchase; Switching pattern;

D O I：

10.1007/s12597-022-00613-0

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：942 / 950

页数：9

共 10 条

[1] A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques [J].