Integrating technology readiness into the expectation-confirmation model: an empirical study of mobile services.

The aim of this study was to integrate technology readiness into the expectation-confirmation model (ECM) for explaining individuals' continuance of mobile data service usage. After reviewing the ECM and technology readiness, an integrated model was demonstrated via empirical data. Compared with the original ECM, the findings of this study show that the integrated model may offer an ameliorated way to clarify what factors and how they influence the continuous intention toward mobile services.

Understanding negative impacts of perceived cognitive load on job learning effectiveness: a social capital solution.

Objective: This study proposes a model explaining how social capital helps ease excessively required mental effort.

Background: Although organizational researchers have studied both social capital and cognitive load, no prior research has critically examined the role of social capital in improving individuals' mental load and effort and consequently enhancing job learning effectiveness.

Method: This study surveys participants made up of professionals in Taiwan's information technology industry.

Learning online community citizenship behavior: a socio-cognitive model.

This study postulates personal and environmental factors as key drivers of online community citizenship behavior (OCCB). OCCB reveals that the individual chooses to perform a behavior that is beneficial to others. Empirical results confirm the applicability of social cognitive theory (SCT) in online communities.

Learning online social support: an investigation of network information technology based on UTAUT.

Extending the unified theory of acceptance and use of technology (UTAUT) model, this study postulates a model of online social support. The model is empirically tested using data from undergraduates in Taiwan regarding their usage of instant messaging (IM). The test results indicate that all model paths are significant, except that the path between online social support and facilitating conditions is insignificant.

Learning the determinants of satisfaction and usage intention of instant messaging.

This study proposes a model for evaluating usage intention toward interactive information technology. The test results reveal that usage intention is influenced directly by satisfaction, perceived ease of use, perceived personalization, and perceived social interaction, while being also influenced indirectly by perceived reliability, perceived instantaneity, perceived ease of use, perceived social image, and perceived social interaction via the mediation of satisfaction.