The Impact of AI personalized Recommendation Scale on Consumer Purchase Decisions
- DOI
- 10.2991/978-94-6463-724-3_25How to use a DOI?
- Keywords
- AI personalized recommendations; Recommendation scale; User perception; Decision-making style; Purchase decision
- Abstract
In the rapidly changing digital market, AI-based personalized recommendations significantly enhance consumer shopping experiences and drive business growth. This study investigates how the volume of recommendations (independent variable) influences consumer purchase behavior (dependent variable) through perceived attractiveness (mediating variable) and examines the moderating effect of decision-making style. Based on survey data from 380 online shoppers, the results reveal that perceived attractiveness mediates the relationship between recommendation volume and purchase behavior, while decision-making style positively moderates the effect of recommendation volume on perceived attractiveness. These findings uncover the psychological mechanisms underlying the impact of AI personalized recommendations on consumer behavior, offering valuable guidance for optimizing recommendation systems to improve consumer satisfaction and business outcomes.
- 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.
Cite this article
TY - CONF AU - Li Li AU - Siqi Li PY - 2025 DA - 2025/05/26 TI - The Impact of AI personalized Recommendation Scale on Consumer Purchase Decisions BT - Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025) PB - Atlantis Press SP - 251 EP - 263 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-724-3_25 DO - 10.2991/978-94-6463-724-3_25 ID - Li2025 ER -