The Influence of User Recommendations and System Recommendations on Consumer Purchase Intention

DOI

10.2991/978-94-6463-809-7_11How to use a DOI?

Keywords

e-commerce; system recommendation; user recommendation

Abstract

Online markets have become the leading media for buying and selling activities in the digital era. E-commerce is also a company’s progress in providing more information and product choices that customers want. With the increasing amount of information and choices users receive, users need more time to evaluate and determine which products to buy. To help make it easier for customers to find the products they need, e-commerce platforms are now equipped with recommendation systems. Recommendation systems can help or influence consumers by showing them products that may be relevant to them. Recommendation systems work by providing recommendations automatically based on the results of specific algorithms used on e-commerce platforms. This aims to in-crease consumer buying interest and ultimately boost sales. However, apart from recommendation systems that can produce recommendations automatically, in e-commerce platforms, there are also recommendations that stand out in e-commerce, namely word of mouth or electronic word of mouth (e-WOM), which are generated by users, generally in the form of consumer reviews. These user-generated recommendations are believed to have a significant influence on the intentions of a product among other users, highlighting the power of their influence. This paper discusses automatic recommendation systems and user recommendations for a product based on the customer’s perspective. The aim of this study is to examine which has a greater impact on consumers between automatic recommendation systems and user recommendations.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Desi Arisandi
AU  - Dyah Erny Herwindiati
AU  - Cokki Cokki
PY  - 2025
DA  - 2025/08/13
TI  - The Influence of User Recommendations and System Recommendations on Consumer Purchase Intention
BT  - Proceedings of the Thirteenth International Conference on Entrepreneurship and Business Management UNTAR 2024 (ICEBM 2024)
PB  - Atlantis Press
SP  - 142
EP  - 152
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-809-7_11
DO  - 10.2991/978-94-6463-809-7_11
ID  - Arisandi2025
ER  -