What catalyses mobile apps usage intention: an empirical analysis

By Jun-Jie Hew, Voon‐Hsien Lee, Keng-Boon Ooi, June Wei. Industrial management & data systems, 2015

361 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/91e722405eff357ba945090037bdee7465ec0c2e

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In Information Systems and Management

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Citations in the corpus

Explaining adoption of mobile banking with the theory of trying, general self-confidence, and cynicism (2017, background): “The diffusion of mobile devices and wireless Internet has fostered the uptake of mobile applications such as mobile banking (Al-alak, 2014; Hew et al., 2015; Laforet and Li, 2005).”
Unearthing the determinants of Blockchain adoption in supply chain management (2020, background): “…availability and the knowledge of the system (Lallmahomed et al. 2013) and its support for BI has been positively backed by many empirical studies in chain coordination activities (Akhtar, Marr, and Garnevska 2012), and the presence of support when exposed to new technology (Hew et al. 2015).”
Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy (2020, background): “The extant literature showed that ‘facilitating condi tions’ construct is a good predictor of the behavioural intention to adopt the technology (Venkatesh et al. 2003; Venkatesh, Thong, and Xu 2012; Hew et al.2015; Rana et al. 2017).”
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018, methodology): “EE has been found to have a significant positive relationship with BI to use mobile apps (Hew et al., 2015).”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, background): “…as in UTAUT2 (i.e. Consumers) and extended the theory with addition of new attributes such as Self-efficacy, Trust (e.g., Alalwan et al., 2015) and/or enriching existing attributes such as Performance expectancy, Effort expectancy (e.g., Alalwan et al., 2017; Hew et al., 2015; Wong et al., 2015).”