2017
DOI: 10.3846/16111699.2017.1308879
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Predicting Customer Lifetime Value for Hypermarket Private Label Products

Abstract: This study develops a model to predict customer lifetime value for hypermarket private label products. It examines the relationships among store awareness, store image variables (i.e., service quality, price/value, convenience, and product quality), private label image, repurchase intention, and customer lifetime value and investigates the moderating role of image fit. The originality of this study lies in filling the gap of previous research on antecedents of private label customers’ behavior by considering s… Show more

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Cited by 7 publications
(3 citation statements)
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References 40 publications
(74 reference statements)
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“…Rimarčík (2007) claimed that the higher the repurchase costs, the greater the recommendations by current customers. Lin et al (2017) noted that shop loyalty is directly and strongly correlated with private label use. This is because many shop customers tend to build their attitudes of confidence directly in the store and thus become acquainted with private brands, this directly in line with Kotler & Keller (2011).…”
Section: Loyaltymentioning
confidence: 99%
“…Rimarčík (2007) claimed that the higher the repurchase costs, the greater the recommendations by current customers. Lin et al (2017) noted that shop loyalty is directly and strongly correlated with private label use. This is because many shop customers tend to build their attitudes of confidence directly in the store and thus become acquainted with private brands, this directly in line with Kotler & Keller (2011).…”
Section: Loyaltymentioning
confidence: 99%
“…The results add to our understanding of the impact of Business-to-Business (B2B) social media marketing on brand competition in the fashion industry. Reference [34] published a study to predict customer lifetime value for hypermarket private label products. The study was conducted on a total of 330 respondents.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Companies use CLV mainly in the area of customer segmentation to build long-term relationships with customers and effectively manage investments in marketing activities (Weng and Huang, 2018). However, use of CLV can help answer a number of very different questions such as decisions related to retaining and acquiring customers, investments in product image, or what is the company's long-term value (Lin et al, 2017;Haenlein et al, 2006).…”
Section: Introductionmentioning
confidence: 99%