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Reddy, Raja Sekhar
- Factors Affecting Consumer's Choice to Use Mobile Wallet to Access M-Commerce Industry in India
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Authors
Abhilasha Seam
1,
Raja Sekhar Reddy
1,
Snehil Agrawal
1,
Behara Krishna Chaitanya
1,
Himanshu Bist
1,
Suleman Safdar
1,
Pranav Ranjan Patil
1,
Purba Halady Rao
1
Affiliations
1 Indian Institute of Management, Ranchi, Jharkhand, IN
1 Indian Institute of Management, Ranchi, Jharkhand, IN
Source
International Journal on Customer Relations, Vol 5, No 1 (2017), Pagination: 14-21Abstract
A mobile wallet is a digital alter-ego of the physical wallet. It stores the digitised valuables for authorisation and uses it accordingly to grant permission for accessing goods. The permission is granted by various forms, ranging from password, QR code, facial image and the like.
With the context of tremendous growth of m-commerce industry in our country an empirical research was undertaken to determine factors impacting consumers choice to use mobile wallet service. This paper describes how these factors were determined using Logistic Regression, and Structural Equation Modeling.
Keywords
Mobile Wallet, Indian M-Commerce Industry, Logistic Regression, Structural Equation Modeling.References
- Ewing, D., Leberman, R. K., Serran, E., & Jon, S. (2014). The keys to driving broad consumer adoption of digital wallets and mobile payments. Retrieved from http://www.mckinseyonmarketingandsales.com/the-keys-to-driving-broad-consumer-adoption-of-digital-wallets-and-mobile-payments
- Mobile Wallets and Consumer Adoption (2015). Retrieved from https://www.javelinstrategy.com/sites/default/files/files/reports/15012.Mobile_Wallets_Consumer_Adoption.pdf
- Pitroda, S., & Desai, M. (2010). Transactions without borders: The March of mobile money. Retrieved from http://nextbillion.net/the-advancing-marchof-mobile-money/
- Stringer, R. (2014). Mobile wallet ecosystem, an overview and market analysis. Retrieved from http://www.cortexmcp.com/downloads/whitepapers/Cortex-MCP-Mobile-Wallet-Ecosystem-Q2-2014.pdf
- Yeung, R. M. W., & Wallace, M. S. (2016). Logistic regression: Anadvancement of predicting consumer purchase propensity. Institute for Tourism Studies, University of Macau, Macao, China.