The Influence of E-commerce Platform Algorithms on Consumer Behavior Dynamics

作者：Xing Xingrui

院校：YingKou Institute of Technology, China

摘要：This study investigates the influence of e-commerce platform algorithms on consumer behavior dynamics, focusing on the impact of algorithmic recommendations on purchasing decisions, intentions, and overall consumer experience. Utilizing a mixed-methods approach, the research integrates quantitative data from online surveys and experimental studies with qualitative insights from in-depth interviews and focus groups. Findings indicate that personalized algorithmic recommendations significantly enhance consumer purchase intentions and satisfaction, while also expanding the range of consumer choices. The study also explores the psychological mechanisms underlying these effects, such as social identity and habitual behaviors. However, limitations such as sample diversity and the consideration of individual differences are acknowledged. The research contributes to both theoretical understanding and practical implications for e-commerce platforms, offering insights into optimizing recommendation algorithms and addressing privacy concerns. The paper concludes with suggestions for future research directions, emphasizing the need for cross-platform studies, long-term effect analysis, and investigations into ethical and privacy issues associated with recommendation systems.

关键词

E-commerce platforms; Algorithmic recommendations; Consumer behavior; Purchase intentions; Personalization; Privacy concerns

全文

PDF

参考

References

[1] H. Chen and R. J. Hamill, “The role of trust in online recommendation agents,” Journal of Electronic Commerce Research, vol. 11, no. 2, pp. 153-163, 2010.

[2] M. P. O. De Langhe, S. Fernandes, and V. A. L. M. dos Santos, “Effects of algorithmic recommendations on consumer decision-making: An eye-tracking approach,” Journal of Retailing and Consumer Services, vol. 48, pp. 1-11, 2019.

[3] R. I. Petrova and S. C. Andrews, “Personalized recommendations as a determinant of consumer trust in e-commerce,” International Journal of Electronic Commerce, vol. 21, no. 3, pp. 45-72, 2017.

[4] A. T. Balakrishnan, M. K. A. Khan, and S. S. Raman, “The impact of recommendation systems on consumer behavior: A cross-cultural study,” Journal of International Consumer Marketing, vol. 31, no. 4, pp. 219-234, 2019.

[5] J. Y. Jung, H. R. Vogel, and M. C. Campbell, “The influence of recommendation systems on consumer trust and risk perception in electronic markets,” Electronic Markets, vol. 28, no. 3, pp. 481-496, 2018.

[6] M. F. Javadi, A. Ghapani, and M. R. Soltani, “Investigating the effect of e-commerce recommendation systems on consumer decisionmaking: The mediating role of perceived risk,” Journal of Retailing and Consumer Services, vol. 52, pp. 47-57, 2020.

[7] P. Resnick and H. R. Varian, “Recommender systems,” Communications of the ACM, vol. 40, no. 3, pp. 56-58, 1997.

[8] B. Scherer, “Ethical and privacy issues in the use of e-commerce recommendation systems,” International Journal of Electronic Business, vol. 14, no. 2, pp. 132-147, 2016.

[9] S. S. Raman, A. T. Balakrishnan, and M. K. A. Khan, “Long-term effects of recommendation systems on consumer behavior: A longitudinal study,” Journal of Consumer Behaviour, vol. 18, no. 5, pp. 444-458, 2019.

[10] L. T. Acquisti, “Nudging in the digital age: The case of online privacy,” Journal of Consumer Psychology, vol. 28, no. 1, pp. 4-10, 2018.

上一个：Societal Innovations by Multinational Corporations in Emerging Markets Amidst the COVID-19 Pandemic

下一个：Innovations and Regulatory Challenges of Blockchain in International Payment Systems

返回列表

用科学铸就未来，用阅读滋养人生

+65 6396 6190

英文期刊

The Influence of E-commerce Platform Algorithms on Consumer Behavior Dynamics

关键词

全文

参考

联系我们