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The purpose of this paper is to initially use a stochastic model to fit data of customer behavior stickiness and customer value, then estimate the corresponding parameters and use Bayesian rule to calculate its mathematical expectation.Design/methodology/approachThe authors use expectations of customer behavior stickiness as an independent variable, expectations of customer value as a dependent variable, motivations of consumption as moderator and conduct regression analysis to research the relationship among the three. First, we will use the data of behavior for customer network shopping in the questionnaire to establish the random probability model and forecast. Second, we calculate the expected customer behavior stickiness and customer value. Finally, we use resurvey data of 100 subjects after three months (selected randomly from 373 objects) to test the model prediction.FindingsThe findings show that customer behavior stickiness has a significant effect on customer value, and the moderating effect of the hedonic motivation of consumption on the relationship above is proved. The value of customers who hold high hedonic motivation of consumption is mainly driven from website’s single visit time, whereas the value of customers who hold low or middle hedonic motivation of consumption is mainly driven from a website’s visit frequency.Originality/valueThe paper proves and quantifies the effects of the customer behavior stickiness for customer value in times of behavior. The results prove the moderation role of consumer motivation of the customer for the path of customer behavior stickiness→customer value, and make clear that the hedonic motivation is a necessary condition of average site visit time that has a significant impact on customer value.
Journal of Contemporary Marketing Science – Emerald Publishing
Published: Oct 2, 2019
Keywords: Customer value; Online shopping; Customer behaviour stickiness; Motivation of shopping; Stochastic model
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