Ability is in the eye of the beholder: How context and individual factors shape consumer perceptions of digital assistant ability
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DOI: 10.1016/j.jbusres.2022.04.045
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- Li, Tian-Ge & Zhang, Chu-Bing & Chang, Ying & Zheng, Wei, 2024. "The impact of AI identity disclosure on consumer unethical behavior: A social judgment perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
- Maduku, Daniel K. & Mpinganjira, Mercy & Rana, Nripendra P. & Thusi, Philile & Ledikwe, Aobakwe & Mkhize, Njabulo Happy-boy, 2023. "Assessing customer passion, commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
- Kang, Weiyao & Shao, Bingjia & Du, Shan & Chen, Hongquan & Zhang, Yong, 2024. "How to improve voice assistant evaluations: Understanding the role of attachment with a socio-technical systems perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Muhammad Waqas Farooq & Dr. Khawaja Hisham Ul Hassan & Faiza Nawaz, 2024. "Integrating Qualitative and Quantitative Approaches: The Impact of AI Design on Consumer Perception and Buying Behavior in the FMCG Sector," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 775-786.
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Keywords
Digital assistant ability; AI; Automation; Augmentation; Disclosure; Scale development;All these keywords.
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