No abstract

The proliferation of innovative and exciting information technology applications that target individual "professionals" has made the examination or re-examination of existing technology acceptance theories and models in a "professional" setting increasingly important. The current research represents a conceptual replication of several previous model comparison studies. The particular models under investigation are the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and a decomposed TPB model, potentially adequate in the targeted healthcare professional setting. These models are empirically examined and compared, using the responses to a survey on telemedicine technology acceptance collected from more than 400 physicians practicing in public tertiary hospitals in Hong Kong. Results of the study highlight several plausible limitations of TAM and TPB in explaining or predicting technology acceptance by individual professionals. In addition, findings from the study also suggest that instruments that have been developed and repeatedly tested in previous studies involving end users and business managers in ordinary business settings may not be equally valid in a professional setting. Several implications for technology acceptance/adoption research and technology management practices are discussed.

This study presents two extensions to the two-stage expectationconfirmation theory of information systems (IS) continuance. First, we expand the belief set from perceived usefulness in the original IS continuance model to include three additional predictors identified in the unified theory of acceptance and use of technology, namely effort expectancy, social influence and facilitating conditions. Second, we ground the IS continuance model in the context of transactional systems that involve transmission of personal and sensitive information and include trust as a key contextual belief in the model. To test the expanded IS continuance model, we conducted a longitudinal field study of 3159 Hong Kong citizens across two electronic government (e-government) technologies that enable citizens' access to government services. In general, the results support the expanded model that provides a rich understanding of the changes in the preusage beliefs and attitudes through the emergent constructs of disconfirmation and satisfaction, ultimately influencing IS continuance intention. Finally, we discuss the theoretical and practical implications of the expanded model.

No abstract

The recent proliferation of information technology designed to support or enhance an individual professional's task performance has made the investigation of technology acceptance increasingly challenging and significant. This study investigates technology acceptance by individual professionals by examining physicians' decisions to accept telemedicine technology. Synthesized from relevant prior research, a generic research framework was built to provide a necessary foundation upon which a research model for telemedicine technology acceptance by physicians could be developed. The research model was then empirically examined, using data collected from more than 400 physicians practicing in public tertiary hospitals in Hong Kong. Results of the study suggest several areas where individual "professionals" might subtly differ in their technology acceptance decision-making, as compared with end users and business managers in ordinary business settings. Specifically, physicians appeared to be fairly pragmatic, largely anchoring their acceptance decisions in the usefulness of the technology rather than in its ease of use. When making decisions to Downloaded by [University of Sussex Library] at 10:47 06 February 2015 192 CHAU AND HU accept a technology, physicians expressed considerable concerns about the compatibility of the technology with their practices, placed less importance on controlling technology operations, and attached limited weight to peers' opinions about using the technology. Based on results obtained from this study, the initially proposed framework for technology acceptance by individual professionals was revised to a "hierarchical, three-layer" structure with the individual context at the inner core, the implementation context on the outermost layer, and the technological context residing in the middle. Implications for information systems research and telemedicine management practice that have emerged from the study's findings are also discussed.KEY WORDS AND PHRASES: acceptance of information technology, adoption of information technology, professional users, telemedicine technology management. THE USE OF INFORMATION TECHNOLOGY (IT) has expanded into many areas that can be broadly categorized by applications and target users. Driven by service improvement, market competitiveness enhancement, or bottom-line survival, business organizations have invested heavily in IT and are likely to continue doing so in the near future. Examples of prevalent or highly publicized IT applications for business include technology-enabled process reengineering, open systems, electronic data interchange, and more recently, Internet-based electronic commerce. In the meantime, various IT applications designed to support or enhance individual task performance and services within for-profit and not-for-profit professional organizations have also proliferated rapidly. This phenomenon-the fast-growing acquisition and implementation of innovative IT applications for individual professionals 1 -has demanded effective technology ma...

No abstract

No abstract

T his paper investigates how citizens' uncertainty in e-government services can be managed. First, we draw from uncertainty reduction theory, and propose that transparency and trust are two key means of reducing citizens' uncertainty in e-government services. Second, we identify two key sets of relevant drivers of e-government service use: (1) information quality characteristics, i.e., accuracy and completeness; and (2) channel characteristics, i.e., convenience and personalization. We propose that the means of uncertainty reduction, information quality characteristics, and channel characteristics are interrelated factors that jointly influence citizens' intentions to use e-government. We tested our model with 4,430 Hong Kong citizens' reactions to two e-government services: government websites and online appointment booking. Our results show that the information quality and channel characteristics predict citizens' intentions to use e-government. Furthermore, transparency and trust mediate as well as moderate the effects of information quality and channel characteristics on intentions. A follow-up survey found that citizens' intentions predict use and ultimately, citizens' satisfaction.