Symmetrical and asymmetrical approaches to brand loyalty– The case of intelligent voice assistants
Article
He, Wei, Prentice, Catherine and Wang, Xuequn. 2024. "Symmetrical and asymmetrical approaches to brand loyalty– The case of intelligent voice assistants." Journal of Business Research. 183. https://doi.org/10.1016/j.jbusres.2024.114850
Article Title | Symmetrical and asymmetrical approaches to brand loyalty– The case of intelligent voice assistants |
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ERA Journal ID | 36355 |
Article Category | Article |
Authors | He, Wei, Prentice, Catherine and Wang, Xuequn |
Journal Title | Journal of Business Research |
Journal Citation | 183 |
Article Number | 114850 |
Number of Pages | 9 |
Year | 2024 |
Publisher | Elsevier |
Place of Publication | United States |
ISSN | 0148-2963 |
1873-7978 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jbusres.2024.114850 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0148296324003540 |
Abstract | This study investigates symmetrical and asymmetrical relationships among intrinsic needs, consumer engagement, attachment, and brand loyalty in the case of intelligent voice assistants (IVAs). Conducted with IVA users in the United States, the research employs structural equation modelling (SEM) to examine direct, linear relationships and fuzzy-set qualitative comparative analysis (fsQCA) for exploring complex, non-linear relationships. The findings indicate that psychological needs, consumer interactions with IVAs, and emotional bonds significantly influence brand loyalty. Furthermore, the fsQCA method reveals that various combinations of these factors contribute to brand loyalty in distinct ways. This study advances the literature on consumer behaviour and branding by providing insights into both the symmetrical and asymmetrical antecedents of brand loyalty. The findings hold substantial implications for IVA manufacturers, marketers, and brand managers. |
Keywords | Artificial intelligence; Smart devices; Consumer behaviour; Branding |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460205. Intelligent robotics |
Byline Affiliations | University of Electronic Science and Technology of China, China |
School of Business | |
Edith Cowan University |
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https://research.usq.edu.au/item/z99w9/symmetrical-and-asymmetrical-approaches-to-brand-loyalty-the-case-of-intelligent-voice-assistants
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