Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory

By Anil K. Gupta, Neelika Arora. 2017

315 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/56debe0d1d2e0ff7ae4f804f697fe5b0b2341784

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. Amandeep Dhir
2. R. Padhy
3. Michael D. Williams
4. Hannah R. Marriott
5. Aditya Kumar Sahu
6. Nripendra P. Rana
7. Yogesh Kumar Dwivedi
8. Ali Abdallah Alalwan

In Marketing

1. Amandeep Dhir
2. R. Padhy
3. Michael D. Williams
4. Hannah R. Marriott
5. Aditya Kumar Sahu

In Sociology and Political Science

1. Amandeep Dhir
2. R. Padhy
3. Michael D. Williams
4. Hannah R. Marriott
5. Aditya Kumar Sahu
6. Nripendra P. Rana
7. Yogesh Kumar Dwivedi
8. Ali Abdallah Alalwan

Citations in the corpus

• Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, background): “negative influencers of intention, particularly regarding perceived risk and anxiety (e.g. Groß, 2016; Gupta and Arora, 2017; Hubert et al., 2017).”
• Envisioning the Future of Behavioral Decision-Making: A Systematic Literature Review of Behavioral Reasoning Theory (2020, methodology): “Out of 23 artiles, six articles have used second-order constructs to measure reaons for and reasons against (see Claudy et al., 2015 ; Gupta and rora, 2017a ; Gupta and Arora, 2017b ; Pillai and Sivathanu, 2018 ; ivathanu, 2018a , 2018b ).”