Integrating technology acceptance model and value-based adoption model to determine consumers’ perception of value and intention to adopt AR in online shopping

概念化 技术接受模型 独创性 价值(数学) 背景(考古学) 增强现实 感知 可用性 心理学 营销 知识管理 广告 业务 计算机科学 社会心理学 人机交互 创造力 机器学习 神经科学 古生物学 人工智能 生物
作者
Zi Juan Lai,Mei Kei Leong,Kim Leng Khoo,Sarabjit Kaur Sidhu
出处
期刊:Asia Pacific Journal of Marketing and Logistics [Emerald (MCB UP)]
卷期号:37 (1): 1-19 被引量:4
标识
DOI:10.1108/apjml-03-2024-0386
摘要

Purpose This study is among the first to integrate the technology acceptance model (TAM) and value-based adoption model (VAM) in the context of augmented reality (AR) shopping. It assesses how consumers' rational (TAM) and emotional (VAM) factors influence their intention to use AR in online shopping via perceived value and consumer engagement. Design/methodology/approach This study uses a quantitative research approach and employs a standardized survey questionnaire distributed on social media platforms to recruit Gen Z members who are potential buyers or users of AR technology. SmartPLS 4.0 was used to test the responses of 204 respondents. Findings The results indicate that consumers who perceive a higher value of AR in shopping are inclined to use AR in their future shopping when AR shopping is easy to use, useful, personalized, innovative and provides a highly engaging experience. Interestingly, perceived sacrifice did not influence perceived value. This study confirms that integrating TAM and VAM is instrumental in capturing value, which in turn influences engagement and the intention to use AR in online shopping. Originality/value This study further extends the conceptualization of AR perceived value by combining rational components derived from TAM and VAM, thus leading to a sturdy and theoretically grounded framework. In addition, this study contributes to the literature on extended reality, namely AR shopping, and helps brand managers manage highly evolving AR experience for Gen Z.
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