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The Impact of Bundling Strategy on Consumer Psychology of E-commerce in the Era of Big Data
- 1 Keele University
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Abstract
With the informatization of versatile platforms, e-commerce has become the most popular promotional channel. As the key element of the marketing mix, price strategy plays an almost decisive role in a consumer’s willingness to pay and consumer satisfaction. Thus, this study will explore the impact of bundling strategy on consumer psychology in big data e-commerce. The result shows that the bundling strategy can take advantage of big data to maximize product value perception and consumer satisfaction. Through the previous literature, the article finds many complex psychological aspects of consumers in bundle pricing under big data e-commerce. However, there are few studies on the specific elements and degree of impact on consumer psychology. Therefore, future studies can focus on using qualitative analysis to explore the influence of bundling strategy on consumer psychology in big data E-commerce and focus on one of the e-commerce platforms.
Keywords
bundling strategy, consumer psychology, consumer behavior, e-commerce, big data
[1]. Chen, M. X., & Du, Q. Y. E-commerce marketing strategy based on big data statistical analysis. In 2021 13th International Conference on Measuring Technology and Mechatronics Automation(ICMTMA) (pp. 686-689). IEEE. (2021).
[2]. Matz, S. C., & Netzer, O. Using Big Data as a window into consumers’ psychology. Current opinion in behavioral sciences, 18, 7-12. (2017).
[3]. Lee, S., & Yi, Y. “Retail is detail! Give consumers a gift rather than a bundle”: Promotion framing and consumer product returns. Psychology & Marketing, 36(1), 15-27. (2019).
[4]. Ke, Y. Applications of Managerial Economics in Business Pricing Strategies. In E3S Web of Conferences (Vol. 235, p. 01061). EDP Sciences. (2021).
[5]. Adams, W. J., & Yellen, J. L. Commodity bundling and the burden of monopoly. The quarterly journal of economics, 475-498. (1976).
[6]. Tuokko, P. The influence of behavioral pricing strategies in consumer decision-making. (2019).
[7]. Erevelles, S., Fukawa, N., & Swayne, L. Big Data consumer analytics and the transformation of marketing. Journal of business research, 69(2), 897-904. (2016).
[8]. Schiffman, L. G., & Wisenblit, J. Consumer behaviour(Twelfth, global edition.). Harlow, England: Pearson. (2019).
[9]. Liua, Y., Soroka, A., Han, L., Jian, J., & Tang, M. Cloud-based big data analytics for customer insight-driven design innovation in SMEs. International Journal of Information Management, 51, 102034. (2020).
[10]. De Bruin, C., Sadowski, B., Tur, E. M., Raiteri, E., Nooij, R., & Fortuijn, J. Bundling as an ecosystem value proposition for an incumbent retail group. (2020).
[11]. Tuokko, P. The influence of behavioral pricing strategies in consumer decision-making. (2019).
[12]. Ahmetoglu, G., Furnham, A., & Fagan, P. Pricing practices: A critical review of their effects on consumer perceptions and behaviour. Journal of Retailing and Consumer Services, 21(5), 696-707. (2014).
[13]. Chen, H. L. Research on bundle pricing strategies based on consumer regret psychology. Shanghai Business. Shanghai Business. 4: 34-36. (2022).
[14]. Chen X. C. Bundled sales analysis based on comparative psychology. Modern business industry, 37 (15), 60-61. (2016).
[15]. Nicolau, J. L., & Sellers, R. The Bundling Strategy: The One-Click Effect on Loss Aversion. Journal of Hospitality & Tourism Research, 44(4), 704–712. (2020).
[16]. Liu, H. H., & Chou, H. Y. The effects of promotional package frames and price strategies on inaction inertia. Psychology & Marketing, 36(3), 214-228. (2019).
Cite this article
Chen,R. (2023). The Impact of Bundling Strategy on Consumer Psychology of E-commerce in the Era of Big Data. Advances in Economics, Management and Political Sciences,8,18-23.
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