2021
DOI: 10.1007/s13520-021-00138-7
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The dark side of customer analytics: the ethics of retailing

Abstract: The main objective of this article is to analyse the dark side of customer analytics and the ethics issues in the retailing industry. Ethics-related issues in retailing began to be discussed and studied primarily in the 1960s. The rising interest in ethical issues in retailing is in line with social concerns and consumer awareness, especially in the 1970s and 1980s. The use of big data in customer analytics is one of the most strategic weapons in the competitive retail environment, especially in terms of syste… Show more

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Cited by 3 publications
(2 citation statements)
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“…This approach allows for a more personalized marketing strategy, leading to increased sales and revenue. Additionally, the use of big data in customer analytics, including market segmentation and predictive analytics, has become a strategic tool in competitive retail environments, aiding in making informed business decisions based on customer behavior patterns (Goi, 2021).…”
Section: The Impact Of Predictive Analytics On Strategic Marketing De...mentioning
confidence: 99%
“…This approach allows for a more personalized marketing strategy, leading to increased sales and revenue. Additionally, the use of big data in customer analytics, including market segmentation and predictive analytics, has become a strategic tool in competitive retail environments, aiding in making informed business decisions based on customer behavior patterns (Goi, 2021).…”
Section: The Impact Of Predictive Analytics On Strategic Marketing De...mentioning
confidence: 99%
“…The articles are collected mainly related to customer segmentation, which is a common customer analytics technique and a traditional concept in marketing [5]. Customer analytics models are frequently used in research publications to aid decision-making and are applied to typical case studies: in SMEs [6], in the retail industry [4,7,8], or in the financial institutions [9],… Lu et al [6] developed a process model for data-driven decision-making that will serve as an overarching framework for critical business analytics life cycle stages. Visual analytics has informed customer sales strategy and donor fundraising strategy through recommendations to the respective senior management teams.…”
Section: Customer Analyticsmentioning
confidence: 99%