A meta-analysis of the quantitative studies in continuance intention to use an information system

Abstract

PurposeThis study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects.Design/methodology/approachThe research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention.FindingsThe results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention.Practical implicationsThe results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS.Originality/valueThe study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis.

Understanding the factors of mobile payment continuance intention: empirical test in an African context

“…At this stage, the users have their first contact with the technology, and depending on their experience, they decide whether to use it or to reject it. Continuance intention refers to factors that explain why an individual uses a technology for a long time, thus contributing to the continued use of the technology ( Franque et al., 2020 ; Lin et al., 2017 ). It involves understanding the long-term factors that contribute to the success of the IS ( Bhattacherjee, 2001 ; Lin et al., 2017 ).…”

A Protection-Motivation Perspective to Explain Intention to Use and Continue to Use Mobile Warning Systems

“…IS scholars are extremely prolific in research on use intention and continued use intention (for reviews, see, for instance, Franque et al 2020 ; Venkatesh et al 2016 ). Mere use intention refers to the intention of using a system for the first time.…”

“…In terms of continued use, researchers have applied a wide array of theories to explain continued use intention outside the emergency context, including expectation-confirmation (e.g., Bhattacherjee 2001 ; Chen et al 2012 ), acceptance (e.g., Baptista and Oliveira 2015 ; Venkatesh et al 2003 ), and social capital (e.g., Chang and Zhu 2012 ; Franque et al 2020 ). However, as we argue, theories applied to understand continued use of hedonic systems do not suit the emergency context, in which most interaction with the app is prompted by occasional emergency notifications.…”

“…However, as we argue, theories applied to understand continued use of hedonic systems do not suit the emergency context, in which most interaction with the app is prompted by occasional emergency notifications. In particular, explaining continued use with theories that consider drivers such as satisfaction, hedonic value, habit, flow, or perceived enjoyment (Franque et al 2020 ), while appropriate for hedonic systems (Warkentin et al 2016 ) such as social media apps (Chang and Zhu 2012 ), is less appropriate for emergency warning systems. For instance, while theories on IS continuance stress the role of satisfaction in the sense of a pleasurable user experience for the continuance of use intention (Bhattacherjee and Premkumar 2004 ; Shaikh and Karjaluoto 2015 ), this determinant is less relevant with respect to protective behavior.…”

“…Generally, social influence could become less important for IS use over time, as users potentially develop first-hand opinions regarding a given technology’s usefulness (Venkatesh and Davis 2000 ). However, research on IT continued use intention in various contexts found that social influence not only influences adoption, but also remains a crucial factor influencing users’ continued IT use intention (Franque et al 2020 ). In the context of warnings apps, the expectations of key referents such as family and friends could influence similarly both continued use intention and adoption intention, as warning apps concern a user’s personal safety.…”