The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country
By Walid Chaouali, Imene Ben Yahia, Nizar Souiden. 2016
269 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/0f6d702a453dd3ba574d3def89778fa5ae432437
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In Information Systems and Management
- Kuttimani Tamilmani
- Samuel Fosso Wamba
- Rohita Dwivedi
- Nripendra P. Rana
- Samar Rahi
- P. Pardalos
- Jingnan Liu
- Wenjuan Fan
In Organizational Behavior and Human Resource Management
- Kuttimani Tamilmani
- Samuel Fosso Wamba
- Rohita Dwivedi
- Samar Rahi
- F. Alnaser
- Nripendra P. Rana
- P. Pardalos
- Jingnan Liu
In Sociology and Political Science
- Kuttimani Tamilmani
- Samuel Fosso Wamba
- Nripendra P. Rana
- Rohita Dwivedi
- Samar Rahi
- F. Alnaser
- P. Pardalos
- Jingnan Liu
Citations in the corpus
- Integration of UTAUT model in internet banking adoption context (2019, methodology): “Therefore, and based on existing literature (Al-Qeisi et al. , 2014; Chaouali et al. , 2016; Oliveira et al. , 2016), researchers assumed that effort expectancy of users will signi fi cantly in fl uence the performance expectancy of internet banking users.”
- The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, background): “…such as attitude (e.g., Degirmenci & Breitner, 2017; Hajli & Lin, 2016; Koohikamali et al., 2015; Nguyen et al., 2014a) and trust (e.g., Chaouali et al., 2016; Gu et al., 2016) as new mediating mechanisms in the baseline model based on extant literature synthesis of UTAUT2 extensions.”
- Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) (2018, background): “Through a literature review of research on technology trust (Chaouali et al. 2016; Lai et al. 2011; Gefen et al. 2008), we draw three categories of trusting bases which jointly lead to trust formation in technology.”