Understanding mobile shopping consumers’ continuance intention

Abstract

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.

An integrated model combining ECM and UTAUT to explain users’ post-adoption behaviour towards mobile payment systems

“…Continuance intention is defined as 'users' intention to continue using IS ' (2001, p. 359). The ECM has been used extensively to study the relationship between satisfaction and continuance intention to use various information systems (Shang & Wu, 2017;Zhang, Lu, Gupta, & Gao, 2015). However, there have been limited studies in the area of mobile payment usage (Susanto, Chang, & Ha, 2016).…”

Mobile Payment: The Hiding Impact of Learning Costs on User Intentions

“…Similarly, we have analysed users´ intention to use mobile payment but have not considered what is the customer opinion of using this technology over time. Therefore, following other research guidelines in this filed it will be interesting to analysed the customer satisfaction of using mobile payment like other studies have done with similar technologies: SMS [14], social pages [9], mobile shopping [54] or online community [66].…”

“…The acceptance of mobile payments has gained attention by academics and practitioners in the last decade [7], [44], [70]. Apple Pay, Google Wallet and PayPal are only some examples of technologies to go shopping using the mobile phone [54]. Also, retailers have become aware of the need to explore mobile payment [59] due to the impact that this technology could have on purchase intention [72].…”

Understanding Mobile Tourism Shopping in Pakistan: An Integrating Framework of Innovation Diffusion Theory and Technology Acceptance Model

“…e technology continues to advance, and numerous business opportunities arise from a mobile perspective based on mobile technology development such as online shopping [4,5], m-banking usage [6,7], mobile learning [8], mobile services [9], mobile advertising [10], mobile healthcare [11], and mobile payments [12]. e m-internet technology can be used for mobile shopping and availing many other similar services [13].…”