SEM approach to understanding m-commerce use in a developing country
Reeti Agarwal and
Ankit Mehrotra
International Journal of Business and Globalisation, 2021, vol. 27, issue 3, 403-423
Abstract:
In the preceding years, substantial increase in the total of people using smart phones in India. This trend has resulted in customers carrying out more of their daily activities over a mobile phone. Deeper penetration and use of smartphones by Indians puts forth an immense potential for m-commerce industry in India. For their m-commerce strategies to be successfully leveraged, companies should understand how m-commerce is perceived by their target customers and identify factors which affect customers' use of m-commerce. Sample for the study consisted of 519 customers. Based on the responses, a structural equation model was developed wherein perceived ease of use, perceived usefulness, personal innovativeness and social influence were established to be influencing customers' current use behaviour of m-commerce. Current use behaviour significantly affected customers' intention of future use. The relationship between current use behaviour and intention of future use was influenced by age (used as a control variable).
Keywords: mobile commerce; m-commerce; confirmatory factor analysis; CFA; structural equation modelling; SEM; control variable; intention of future use; current use behaviour; CUB. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=113277 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbglo:v:27:y:2021:i:3:p:403-423
Access Statistics for this article
More articles in International Journal of Business and Globalisation from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().