User’s continuance intention is vital to the future of mobile social apps (i.e. applications) with rapid development and intensive competitions among their providers. We draw on the theory of flow experience and switching cost to build an integrated model to explain factors influencing users’ continuance using intention. Our model is tested by survey and Structural Equation Model (SEM) in the m...

This study investigates factors influencing individual users’ continued use of technology, or technology continuance. Technology continuance is defined as individual user’s continued employment of system. We consider mobile computing technology as a particular example for the investigation. In this paper, we first review the theoretical backgrounds based on the literature of post-adoption studi...

Research on learning system continuance has been focused mostly on students’ conscious behaviour. While the institutional decision to adopt and sustain the deployment of a new technology provides strong support for organisational adoption, the key factor for achieving long-term continuance relies on individual behaviour from different stakeholders, e.g., students, support staff and teachers. Ex...

Due to the rapid growth of social net services (SNSs), research into SNSs continuance has recently emerged as an important issue in information systems. This study develops an integrated model designed to predict older adults’ continuance behavior toward SNSs based on the expectation-confirmation model (ECM), the task technology fit (TTF) and the theory of planned behavior (TPB). The hypothesiz...

Due to the rapid growth of mobile data service (MDS), research into MDS continuance has recently emerged as an important issue in information systems (IS) and marketing literature. This study develops an integrated model designed to predict a user’s continuance behavior toward MDS based on the expectation–confirmation model (ECM) and the theory of planned behavior (TPB). Empirical data collecte...

Retaining users and facilitating continuance usage are crucial to the success of mobile social network services (SNS). This research examines the continuance usage of mobile SNS in China by integrating both the perspectives of social influence and privacy concern. Social influence includes three processes: compliance, identification and internalization, which are respectively represented by sub...

Personality traits have rarely been used to discussed the phenomenon under information systems context, especially not in the emerging topic of IS continued usage. IS continuance gained prominence because it is seem as the key indicator to the successfulness of information systems. This study explores and proposed a model to connect personality traits to IS continued usage through the introduct...

Retaining users and facilitating their continuance usage are critical for mobile Internet service providers. From the perspective of resistance to change, this research identified the factors affecting continuance usage of mobile services. We collected data among mobile Internet users and conducted data analysis with structural equation modeling. The results indicated that trust and switching c...

This study develops and tests an integrated model that explains information systems usage at adoption and post-adoption stages. Integrating the theory of planned behavior with the IS continuance model, this research provides insights into the complementary nature of the two theories in explaining IS usage over time. In addition, the integrated model takes into consideration the “habit” construc...

Article history: Received 25 November 2011 Available online 11 March 2012 Using a one-year longitudinal study of four components of organizational commitment (affective, normative, continuance–sacrifices, and continuance–alternatives) on a sample of employees frommultiple organizations (N=220), we examined the relationships of employee Big-Five personality traits to employee commitment componen...