A meta-analysis of mobile commerce adoption and the moderating effect of culture
By Liyi Zhang, Jing Zhu, Qihua Liu. Computers in Human Behavior, 2012
566 citations recorded by the source corpus.
Subfields: Cultural Studies, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/bd3643662d031aa6b841744a5b4c892cfaa5b9e3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cultural Studies
- Subhro Sarkar
- Fazilat Siddiq
- Michael D. Williams
- Arpita Khare
- Jo Tondeur
- Sumedha Chauhan
- Ronny Scherer
In Information Systems and Management
- Yogesh Kumar Dwivedi
- Arpita Khare
- Subhro Sarkar
- Sumedha Chauhan
- Michael D. Williams
- Emma L. Slade
- Nripendra P. Rana
- R. Danish
In Sociology and Political Science
- Yogesh Kumar Dwivedi
- Subhro Sarkar
- Arpita Khare
- Sumedha Chauhan
- Emma L. Slade
- Michael D. Williams
- R. Danish
- Hamed Qahri-Saremi
Citations in the corpus
- Factors affecting adoption of online banking: A meta-analytic structural equation modeling study (2015, background): “, [154]) provide support for the significance of social influence in technology adoption.”
- A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, methodology): “Trust plays an important role in diminishing the adverse e ff ects of risk perceptions in m-commerce transactions (Marriott & Williams, 2018; Zhang et al., 2012).”
- Investigating users' perspectives on e-learning: An integration of TAM and IS success model (2015, background): “The studies carried out by Zhang, Zhu, and Liu (2012), Schierz, Schilke, and Wirtz (2010), Revels, Tojib, and Tsarenko (2010), Lee, Park, Chung, and Blakeney (2012), and Kim and Mirusmonov (2010) in IS adoption, proved perceived usefulness to have a mediating role.”
- Exploring consumer adoption of proximity mobile payments (2014, background): “Although hedonic motivation has not been tested in the MP context, the effect of perceived enjoyment on behavioural intention has gained support in the m-commerce context (e.g. Ko, Kin, & Lee, 2009; Zhang, Zhu, & Liu, 2012).”
- Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, background): “Perceived risk is one of the most widely recognised barriers in technology acceptance research (e.g. Rose et al., 2011; Wong et al., 2012; Zhang et al., 2012).”