Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Enterprise Information Management Pub Date : 2023-03-28 DOI:10.1108/jeim-09-2022-0316
Gunjan Malhotra, M. Ramalingam
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引用次数: 2

Abstract

PurposeThis study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector, whereby retailers provide lucrative offers to motivate consumers. The study develops a theoretical framework based on media-richness theory to investigate the role of perceived anthropomorphism toward an intention to purchase products using AI.Design/methodology/approachThe study is based on cross-sectional data through an online survey. The data have been analyzed using PLS-SEM and SPSS PROCESS macro.FindingsThe results show that consumers tend to demand anthropomorphized products to gain a better shopping experience and, therefore, demand features that attract and motivate them to purchase through artificial intelligence via mediating variables, such as perceived animacy and perceived intelligence. Moreover, trust in artificial intelligence moderates the relationship between perceived anthropomorphism and perceived animacy.Originality/valueThe study investigates and concludes with managerial and academic insights into consumer purchase intention through artificial intelligence in the retail and marketing sector.
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使用人工智能技术感知的拟人化与购买意图:检验信任的调节效应
目的本研究探讨了通过人工智能(AI)影响消费者购买意愿的特征,因为人们认为,通过人工智能,消费者的购买意愿显著增长,尤其是在零售业,零售商提供利润丰厚的优惠来激励消费者。该研究开发了一个基于媒体丰富度理论的理论框架,以调查感知的拟人化对使用AI购买产品的意图的作用。设计/方法/方法该研究基于通过在线调查获得的横断面数据。使用PLS-SEM和SPSS PROCESS宏对数据进行了分析。研究结果表明,消费者倾向于要求拟人化的产品以获得更好的购物体验,因此,通过中介变量,如感知的动物性和感知的智能,要求通过人工智能吸引和激励他们购买的特征。此外,对人工智能的信任调节了感知的拟人化和感知的动物性之间的关系。独创性/价值该研究通过零售和营销部门的人工智能,对消费者的购买意愿进行了管理和学术见解调查并得出结论。
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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
期刊介绍: The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.
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