Predicting m-commerce adoption determinants: A neural network approach

By Alain Yee-Loong Chong. Expert systems with applications, 2013

423 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/bef2377009978f42c21cfe5b4bb353b73de68b1a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Ali Abdallah Alalwan
4. Kuttimani Tamilmani
5. Abdullah Mohammed Baabdullah
6. Michael D. Williams
7. Keng-Boon Ooi
8. Marc Clement

In Sociology and Political Science

1. Nripendra P. Rana
2. Ali Abdallah Alalwan
3. Yogesh Kumar Dwivedi
4. Kuttimani Tamilmani
5. Michael D. Williams
6. Abdullah Mohammed Baabdullah
7. Keng-Boon Ooi
8. Voon‐Hsien Lee

In Strategy and Management

1. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. Michael D. Williams
4. Anand Jeyaraj
5. Kuttimani Tamilmani
6. Ali Abdallah Alalwan
7. Jun-Jie Hew
8. Keng-Boon Ooi

Citations in the corpus

• What catalyses mobile apps usage intention: an empirical analysis (2015, background): “Effort expectancy The result of EE has significant effect on BI is similar with the studies conducted by Chong (2013) and Venkatesh et al.”
• Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling (2020, neutral): “We have taken this (Attitude) as a mediating factor (Chong 2013).”
• Elderly and Internet Banking: An Application of UTAUT2 (2015, background): “Moreover, other ICTs have an important social effect due to some of the applications becoming more useful when there are more users, and users trying to encourage people who they know to adopt the applications (Chong, 2013).”
• Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust (2018, background): “Mobile internet is also considered as a new and novel technology that could provide customers with a degree of fun and enjoyment when using it (Alalwan et al., 2017; Chong, 2013; Dai and Palvi, 2009).”
• Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “Prior literature highlights several individual characteristics including attitude, computer self-efficacy, and personal innovativeness (e.g., Carter and Schaupp 2008; Chong 2013; Venkatesh et al. 2011a).”
• Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, methodology): “Copyright © 2018, Elsevier. risk, some empirical findings reveal trust to be immaterial towards consumers’ intention, which is especially seen within m-commerce (Chong, 2013) and m-banking (Luo et al., 2010).”