{"title":"Advancing retail and service strategies: AI-driven consumer behavior prediction, gamification, and ethical marketing","authors":"Minh Tung Tran","doi":"10.1016/j.jretconser.2025.104558","DOIUrl":null,"url":null,"abstract":"<div><div>This study addresses the research gap in understanding the combined effects of AI-driven predictive analytics on consumer personalization accuracy, engagement via gamification, and ethical governance in retailing and consumer services. The objective is to examine how predictive analytics enhances personalization and ROI, how gamification drives engagement, and how ethical challenges (e.g., privacy, bias) can be governed responsibly. Employing a convergent mixed-methods design, the study combines quantitative analysis of consumer data (n = 3900) with multi-case studies of Spotify, Netflix, and Amazon. Findings reveal that AI significantly improves personalization (<strong>β</strong> = 0.42, p < 0.001) and campaign ROI (<strong>R<sup>2</sup></strong> = 0.18), while gamification increases engagement by satisfying psychological needs. Ethical risk mitigation through frameworks such as the EU AI Act is demonstrated. Practical implications highlight actionable strategies for ethical AI adoption. Limitations include reliance on secondary qualitative sources and non-probability sampling; future research should explore probability samples and cross-cultural validation. This research contributes an integrated technical, psychological, and ethical framework, advancing theory on consumer trust and responsible innovation in retailing and consumer services.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"88 ","pages":"Article 104558"},"PeriodicalIF":13.1000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Retailing and Consumer Services","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0969698925003376","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
This study addresses the research gap in understanding the combined effects of AI-driven predictive analytics on consumer personalization accuracy, engagement via gamification, and ethical governance in retailing and consumer services. The objective is to examine how predictive analytics enhances personalization and ROI, how gamification drives engagement, and how ethical challenges (e.g., privacy, bias) can be governed responsibly. Employing a convergent mixed-methods design, the study combines quantitative analysis of consumer data (n = 3900) with multi-case studies of Spotify, Netflix, and Amazon. Findings reveal that AI significantly improves personalization (β = 0.42, p < 0.001) and campaign ROI (R2 = 0.18), while gamification increases engagement by satisfying psychological needs. Ethical risk mitigation through frameworks such as the EU AI Act is demonstrated. Practical implications highlight actionable strategies for ethical AI adoption. Limitations include reliance on secondary qualitative sources and non-probability sampling; future research should explore probability samples and cross-cultural validation. This research contributes an integrated technical, psychological, and ethical framework, advancing theory on consumer trust and responsible innovation in retailing and consumer services.
期刊介绍:
The Journal of Retailing and Consumer Services is a prominent publication that serves as a platform for international and interdisciplinary research and discussions in the constantly evolving fields of retailing and services studies. With a specific emphasis on consumer behavior and policy and managerial decisions, the journal aims to foster contributions from academics encompassing diverse disciplines. The primary areas covered by the journal are:
Retailing and the sale of goods
The provision of consumer services, including transportation, tourism, and leisure.