Alexa, add some magic to my shopping cart!: The effects of perceived intelligence and anthropomorphism on voice commerce technology acceptance

Citation

Liew, Tze Wei and Tan, Su Mae and Gan, Chin Lay and Ahmad, Faizan and Lee, Yi Yong and Chong, Xin Yen (2024) Alexa, add some magic to my shopping cart!: The effects of perceived intelligence and anthropomorphism on voice commerce technology acceptance. In: 2024 4th International Conference on Computer Communication and Information Systems (CCCIS), 27-29 February 2024, Phuket, Thailand.

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Abstract

This paper explores the determinants of voice commerce technology acceptance among Malaysian consumers, focusing on perceived intelligence and anthropomorphism. Drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT) and AI attributes frameworks, the research model, encompassing perceived intelligence, anthropomorphism, performance expectancy, effort expectancy, and behavioral intention, was assessed based on 189 valid online survey responses. The SmartPLS 4 analyses reveal that perceived intelligence and anthropomorphism significantly enhance voice commerce technology's performance and effort expectancies. Moreover, anthropomorphism, performance expectancy, and effort expectancy positively influence the intention to adopt voice commerce technology. These findings accentuate the pivotal role of designing intelligent and anthropomorphic voice agents in shaping user perceptions and acceptance. The paper contributes theoretical insights about adopting voice commerce technology and provides practical recommendations for firms aiming to leverage voice commerce technology.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: voice commerce technology, UTAUT, perceived intelligence, anthropomorphism, adoption
Subjects: H Social Sciences > HF Commerce > HF5001-6182 Business > HF5546-5548.6 Office management > HF5548.32-.34 Electronic commerce
Divisions: Faculty of Business (FOB)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 04 Nov 2024 00:56
Last Modified: 04 Nov 2024 00:56
URII: http://shdl.mmu.edu.my/id/eprint/13069

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