2023
DOI: 10.1057/s41264-023-00210-2
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Consumer resistance to internet banking services: implications for the innovation resistance theory

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Cited by 11 publications
(20 citation statements)
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“…Academic research has paid limited attention to understanding the reasons behind consumer resistance towards investing in NFTs. However, it is argued that in order to establish and sustain a viable NFT ecosystem, it is crucial to comprehend the barriers that influence consumers' reluctance to embrace this innovation (e.g., Baklouti & Boukamcha, 2023;Leong et al, 2021;Migliore et al, 2022;Ram & Sheth, 1989). Thus, this study adopts the innovation resistance theory (IRT) (Ram & Sheth, 1989) to investigate the potential factors contributing to consumers' resistance towards NFT investment, aiming to partially address this research gap.…”
Section: Non-fungible Tokens (Nfts)mentioning
confidence: 99%
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“…Academic research has paid limited attention to understanding the reasons behind consumer resistance towards investing in NFTs. However, it is argued that in order to establish and sustain a viable NFT ecosystem, it is crucial to comprehend the barriers that influence consumers' reluctance to embrace this innovation (e.g., Baklouti & Boukamcha, 2023;Leong et al, 2021;Migliore et al, 2022;Ram & Sheth, 1989). Thus, this study adopts the innovation resistance theory (IRT) (Ram & Sheth, 1989) to investigate the potential factors contributing to consumers' resistance towards NFT investment, aiming to partially address this research gap.…”
Section: Non-fungible Tokens (Nfts)mentioning
confidence: 99%
“…Thus, IRT is the most suitable framework for investigating this particular research objective. Second, IRT has been applied and validated in various user innovations contexts, such as mobile banking (Laukkanen, 2016), smart product and services (Mani & Chouk, 2018), eco-friendly cosmetics (Sadiq et al, 2021), organic food consumption (Kushwah et al, 2019), m-payment solutions (Migliore et al, 2022), m-ticketing applications (Chen et al, 2022), Internet of Things (Lee, 2020), online travel agencies (Talwar et al, 2020), digital device recycling platform (Tang & Chen, 2022), drone food delivery (Khalil et al, 2022), Internet banking services (Baklouti & Boukamcha, 2023), among others, This extensive application and validation of IRT in diverse contexts suggest its reliability and applicability in investigating consumer resistance towards NFTs' investment. The usage barrier (UB) emerges when a new innovation clashes with the established work processes, experiences, or habits of consumers, potentially disrupting their existing norms and routines (Ram & Sheth, 1989).…”
Section: Model and Hypotheses Developmentmentioning
confidence: 99%
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