Consumer Psychology in the Digital Age: How Online Environments Shape Purchasing Habits
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Keywords

Digital age
Consumer psychology
Online shopping
Purchasing habits
Privacy protection
Personalized recommendation

DOI

10.26689/pbes.v7i5.8497

Submitted : 2024-09-23
Accepted : 2024-10-08
Published : 2024-10-23

Abstract

The advent of the digital age has profoundly changed consumers’ mindsets and habits. The rapid development of e-commerce and the widespread use of mobile applications have created enormous demand for individual recommendation systems based on mass data. This system not only increases the convenience of purchases and conversions but also alters the purchasing behavior of consumers, leading them to make choices subconsciously. Potential risks associated with large-scale data sharing and usage have heightened consumer concerns regarding privacy, thereby weakening the foundational trust in platforms and deterring them from shopping. Additionally, the rapid growth of e-commerce in the digital age, coupled with changing market circumstances, has intensified psychological pressure on consumers, making their decision-making processes more complex and difficult. Furthermore, the program will explore issues related to improving customer experience, developing individual marketing strategies, and designing customer loyalty plans. It will also address questions of privacy in a digital environment, the dilemmas of excessive or disruptive consumption behavior, and the complexity and diversity of consumer behavior in the face of digital change. The objective of this study is to develop a fear study that will enable a better understanding of the impact of online shopping on consumer behavior and provide a strategic guide for retailers to meet the challenges and opportunities presented by the digital age.

References

Baier D, Stuber E, 2010, The Role of Emotions on Personalized E-Shopping. Electronic Markets, 20(3): 191–204. https://doi.org/10.1007/s12525-010-0042-9

Heinrich B, Hopf M, Lohninger D, et al., 2021, Data Quality in Recommender Systems: The Impact of Completeness of Item Content Data on Prediction Accuracy of Recommender Systems. Electronic Markets, 31(3): 389–409. https://doi.org/10.1007/s12525-019-00366-7

Hsiao KL, Lin JCC, Wang XY, et al., 2010, Antecedents and Consequences of Trust in Online Product Recommendations: An Empirical Study in Social Shopping. Online Information Review, 34(6): 935–953. https://doi.org/10.1108/14684521011099414

Fornell C, Larcker DF, 1981, Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1): 39–50. https://doi.org/10.1177/002224378101800104

Jannach D, Bauer C, 2020, Escaping the McNamara Fallacy: Towards More Impactful Recommender Systems Research. AI Magazine, 41(4): 79–95. https://doi.org/10.1609/aimag.v41i4.5312

Chen H, Chiang RHL, Storey VC, 2012, Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4): 1165–1188. https://doi.org/10.2307/41703503

Scollon CN, Diener E, Oishi S, et al., 2010, An Experience Sampling and Cross-Cultural Investigation of the Relation Between Pleasant and Unpleasant Affect. Cognition and Emotion, 19(1): 27–52. https://doi.org/10.1080/02699930441000076

Vrechopoulos AP, O'Keefe RM, Doukidis GI, et al., 2004, Virtual Store Layout: An Experimental Comparison in the Context of Grocery Retail. Journal of Retailing, 80(1): 13–22. https://doi.org/10.1016/j.jretai.2003.12.002

Ethier J, Hadaya P, Talbot J, et al., 2008, B2C Web Site Quality and Emotions During Online Shopping Episodes: An Empirical Study. Information and Management, 45(4): 196–201. https://doi.org/10.1016/j.im.2008.01.001

Barclay LJ, Kiefer T, 2012, Approach or Avoid? Exploring Overall Justice and the Differential Effects of Positive and Negative Emotions. Journal of Management, 40(7): 1857–1898. https://doi.org/10.1177/0149206312441833

Eroglu SA, Machleit KA, Davis LM, 2003, Empirical Testing of A Model of Online Store Atmospherics and Shopper Responses. Psychology and Marketing, 20(2): 139–150. https://doi.org/10.1002/mar.10064

Yik M, 2007, Culture, Gender, and the Bipolarity of Momentary Affect. Cognition and Emotion, 21(3): 664–680. https://doi.org/10.1080/02699930600823702

Verhagen T, van Dolen W, 2011, The Influence of Online Store Beliefs on Consumer Online Impulse Buying: A Model and Empirical Application. Information and Management, 48(8): 320–327. https://doi.org/10.1016/j.im.2011.08.001

Laros FJM, Steenkamp JBEM, 2005, Emotions in Consumer Behavior: A Hierarchical Approach. Journal of Business Research, 58(10): 1437–1445. https://doi.org/10.1016/j.jbusres.2003.09.013

Kramer J, Noronha S, Vergo J, 2000, A User-Centered Design Approach to Personalization. Communications of the ACM, 43(8): 44–48. https://doi.org/10.1145/345124.345139