Journal
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Volume 117, Issue 1, Pages 213-227Publisher
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IMDS-02-2016-0052
Keywords
Perceived value; Mobile shopping; TAM; Continuance intention; ECM; Chinese consumer behaviour
Funding
- National Natural Science Foundation of China [71472055, 71272175, 71002061]
- National Science Foundation for Postdoctoral Scientists of China [201104424, 2012M520697]
- Heilongjiang Philosophy and Social Science Research Project [14B105]
- SRF
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Purpose - The purpose of this paper is to investigate and examine the factors contributing to consumers' mobile shopping continuance intention (CI) of food and non-food items via smartphones and other mobile terminals. Design/methodology/approach - An integrated model was proposed on the basis of the technology acceptance model (TAM) and expectation confirmation model (ECM), focussing on perceived value (PV). The survey responses of 203 Chinese mobile shoppers (m-shoppers) were analysed using structural equation modelling with the partial least squares approach. Findings The results indicated that perceived usefulness does not motivate all user groups. Furthermore, satisfaction and perceived ease of use significantly impacted different user groups. For online food m-shoppers, value for money (VM) was the most important factor influencing satisfaction and CI. However, perceived usefulness only affected CI for non-food m-shoppers. Practical implications - Marketers can improve users' CI by enhancing VM and maximising effectiveness and enjoyment while minimising prices. Moreover, in determining strategies for different users, marketers should identify the behavioural differences among all groups and those between the two classified groups. Originality/value This is one of the studies attempting to explain Chinese mobile shopping consumers' CI, but especially through an integrated model based on TAM and ECM with PV on food and non-food m-commerce perspective. It offers several implications for researchers and practitioners and contributes to the literature of technology acceptance and post-adoption behaviour in m-commerce.
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