There is limited evidence on why decision makers extend beyond routine use toward more advanced use of Business Intelligence (BI) systems. This study developed an extended DeLone and McLean information system success model hypothesizing the effects of system, data, information, and service quality, along with self-efficacy and task complexity, on routine and advanced use of BI. Task complexity was also considered as moderating the effects of use on individual performance. Data was collected from a sample (N=362) of management accountants using BI systems. Results confirmed system, data, information, and service quality as important, and indicated that routine use is less likely under conditions of task complexity and does not rely on user self-efficacy to the same degree as advanced use. Using routine BI features was also not found to improve user performance to the same extent as advanced use. The study has contributed new theoretical insights into BI use and offered new conceptual and operational definitions of routine and advanced use of BI, with implications for practice in contexts such as management accounting.

Cross-border electronic-commerce (CBEC) is growing. However, due to differences in culture, habits, history and language among other factors, consumers in different regions may have different perception towards the same product information on CBEC platforms, which may lead to differences in their cognition of the product with implications for purchase intentions. Presently, little research has attempted to understand whether there are such differences between global consumers through the examination of measurement invariance (MI) in CBEC environments. By using multiple-group confirmatory factor analysis (MG-CFA), this study explored the invariance of two product information cognitions on CBEC platforms, namely product description and product awareness, among consumers in North America, Europe, Latin America and Oceania. Data was collected from users of a popular CBEC platform in China. We find no significant differences in understandings and levels of awareness of product information across the four groups of consumers.

E-services remain characterised by uncertainty despite their proliferation. Consumer trust beliefs are therefore considered an important determinant of e-service adoption. However, the research has not yet considered the potentially dynamic nature of these trust beliefs or how early-stage trust might influence later-stage adoption and use. To address this gap, this study draws on the theory of reasoned action and expectation–confirmation theory in a longitudinal study of trust in e-services. We examine how trust interacts with other consumer beliefs such as perceived usefulness (PU) and how these beliefs together influence consumer intentions and behaviours concerning e-services at both the initial and latter stages of use. The empirical context is online health information services. Data collection on a student population occurred during two time periods approximately five weeks apart. The results show that PU and trust are important at both the initial and latter stages in the consumer acceptance of online health services. Consumers’ actual usage experiences modify perceptions of usefulness and influence the confirmation of their initial expectations. These results have implications for our understanding of the dynamic nature of trust and PU as well as their roles in the long-term sustainability of e-services.

The popularity of online health information has increased because of its easy accessibility. The present study employs longitudinal data to investigate perceived ease of use, perceived usefulness, and trust in the online health information context. More specifically, the authors classified trust as both trust in the provider and in the website for health information. In light of this discussion, the purpose of this study is twofold: (1) To better understand the multidimensional and dynamic nature of trust in the online health information context and (2) To carry out a longitudinal investigation to study the technology acceptance model (TAM) in the online health information context. This study focuses on college students’ behaviors related to online health information services; this is because engagement with online health information is a dynamic area for research among young populations. By analyzing the longitudinal data, the authors found that both trust in website and trust in provider can integrate TAM variables well to influence college students’ behavior for seeking out online health information. Moreover, when college students gain more experience with online health information servers, perceived ease of use becomes less important to form positive behavior intentions.