Research Article
Open access
Published on 9 January 2025
Download pdf
Huang,H. (2025).The Study of Factors Influencing E-commerce Consumers' Purchasing Decisions.Advances in Economics, Management and Political Sciences,161,34-44.
Export citation

The Study of Factors Influencing E-commerce Consumers' Purchasing Decisions

Hongli Huang *,1,
  • 1 Institute of Yanbian University, Yanji City, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/2025.19880

Abstract

This study aims to analyse the main factors influencing consumers' purchasing decisions under traditional consumption and e-commerce platforms, and to explore the differences in behaviour between these two environments. By comparing factors such as price competitiveness, user evaluation, personalised recommendation, logistics speed and in-store experience, it reveals their performance in different shopping environments. In this paper, Relevant consumer behaviour theories such as the Theory of Rational Behaviour, the Theory of Planned Behaviour and the Technology Acceptance Model were cited. Walmart, Nike and Jingdong are also selected as representative companies, and the case study method is used to study the impact of their operational strategies on consumer behaviour. The results show that on e-commerce platforms, price competitiveness, logistics speed, user reviews and personalised recommendations have more significant influence, while in-store experience remains an important factor in consumer decision-making in traditional retail environments. The study reveals the differences between online and offline shopping environments, provides theoretical support for companies to develop targeted marketing strategies, and offers practical suggestions for future omni-channel integration

Keywords

consumer purchase decision, e-commerce platform, traditional retail, personalised recommendation, user evaluation

[1]. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211

[2]. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

[3]. Laudon, K. C., & Traver, C. G. (2021). E-commerce 2021: business, technology, society. Pearson.

[4]. Ray, S., Kim, S. S., & Morris, J. G. (2019). The central role of engagement in online communities. Information Systems Research, 25(3), 528–546.

[5]. Mukherjee, A., & Nath, P. (2007). Role of electronic trust in online retailing. European Journal of Marketing, 41(9/10), 1173-1202.

[6]. Grewal, D., Iyer, G. R., Krishnan, R., & Sharma, A. (2010). The internet and the price–value–loyalty chain. Journal of Business Research, 63(9-10), 928-932.

[7]. Bleier, A., De Keyser, A., & Verleye, K. (2018). Customer engagement through personalization and customization. In Customer Engagement Marketing (pp. 75-94). Palgrave Macmillan, Cham.

[8]. Adomavicius, G., & Tuzhilin, A. (2005). Personalization technologies: a process-oriented perspective. Communications of the ACM, 48(10), 83-90.

[9]. Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of Marketing Research, 47(2), 215-228.

[10]. Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477-491.

[11]. Wang, C., Harris, J., & Patterson, P. (2015). The roles of habit, self-efficacy, and satisfaction in driving continued use of mobile banking services. Journal of Service Management, 26(1), 97-113.

[12]. Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320-327.

[13]. Constantinides, E. (2004). Influencing the online consumer's behavior: the Web experience. Internet Research, 14(2), 111-126.

[14]. Yin, R. K. (2014). Case Study Research: Design and Methods. Sage Publications.

[15]. Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.

[16]. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.

[17]. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley

Cite this article

Huang,H. (2025).The Study of Factors Influencing E-commerce Consumers' Purchasing Decisions.Advances in Economics, Management and Political Sciences,161,34-44.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content

About volume

Volume title: Proceedings of the 4th International Conference on Business and Policy Studies

Conference website: https://2025.confbps.org/
ISBN:978-1-83558-895-6(Print) / 978-1-83558-896-3(Online)
Conference date: 20 February 2025
Editor:Canh Thien Dang
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.161
ISSN:2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).