Toward an understanding of the behavioral intention to use mobile banking
By Pin Luarn, Hsin-Hui Lin. Computers in Human Behavior, 2005
1,017 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/1bac849bdc07446026e7be720b5a10e041abaaa1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Tao Zhou
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Chao-Min Chiu
- Yi-Shun Wang
- Yao-bin Lu
- Keng-Boon Ooi
In Information Systems and Management
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Michael D. Williams
- Tao Zhou
- Keng-Boon Ooi
- Lingling Gao
- Alain Yee-Loong Chong
In Sociology and Political Science
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Tao Zhou
- Michael D. Williams
- Keng-Boon Ooi
- Lingling Gao
- Yung-Ming Li
Citations in the corpus
- Investigating the determinants and age and gender differences in the acceptance of mobile learning (2009, methodology): “understanding of individual acceptance and usage of various technologies (Harrison, Mykytyn & Riemenschneider, 1997; Mathieson, 1991; Taylor & Todd, 1995b). Fifth, C-TAM-TPB is a hybrid model that combines the predictors of TPB with perceived usefulness from TAM. Sixth, based on Triandis’ (1977) the”
- Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010, methodology): “[57] proposed an MB acceptance model and introduced the construct “perceived credibility” into the m-commerce context.”
- Determinants of Mobile Banking Adoption in the Ghanaian Banking Industry: A Case of Access Bank Ghana Limited (2015, methodology): “Traditional banking has being in existence for many decades now and is the most common method of carrying out bank transactions in different countries, both developed and undeveloped [1].”
- Mobile-banking adoption by Iranian bank clients (2014, background): “This study validates the literature that has found a significant negative relationship between cost and intention to use M-Services (Khalifa and Ning Shen, 2008; Luarn and Lin, 2005; Pagani, 2004; Wessels and Drennan, 2010).”
- Online banking adoption: an empirical analysis (2010, methodology): “In order to ensure the content validity of the scale used, it is advised to largely adapt the items for each construct from prior researches (Luarn and Lin, 2005).”
- A unified perspective on the factors influencing consumer acceptance of internet of things technology (2014, methodology): “The attitude construct in the original TAM has been removed from the model for simplicity purpose (Luarn and Lin, 2005).”