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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.

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Management Information Systems Research Center, University of Minnesota is collaborating with JSTOR to digitize, preserve and extend access to MIS Quarterly. AbstractAdvocates of open systems believe that problems related to compatibility, interoperability, scalability, and efficient use of IT resources can be resolved by setting software and hardware standards and strictly adhering to these standards in systems development and management. Representing a major departure from the traditional way of running an IS operation, the adoption of open systems has major ramifications on the IT infrastructure with longlasting effects. Unfortunately, little research Bob Zmud was the accepting senior editor for this paper. has been done to study this ubiquitous phenomenon despite its impacts on organizational computing worldwide. To fill this research gap, a model that incorporates seven factors perceived to affect the adoption is developed and tested. In-depth interviews with senior executives responsible for managing corporate IS functions from 89 organizations were conducted to collect data for empirical analysis. The findings suggest that organizations tend to (1) focus more on their "ability to adopt" than on the "benefits from adoption," and (2) take a "reactive" rather than "proactive" attitude in adopting open systems technology. Managerial implications are also discussed.

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Structural equation modeling is a technique that has been widely used for instrument validation and model testing in research in marketing and organizational behavior. The technique has also been introduced to MIS researchers and used in several studies recently reported in the literature. This article offers an example of how the technique can be used for instrument validation and model testing. The illustration is made through a reexamination of a model for evaluating information center (IC) success. With the growth of end-user computing, the success of an IC is more important than ever. Obtaining a valid model for measuring IC success is thus crucial to organizations with ICs. The results of this study highlight the importance of a strong theoretical base in developing such a valid model, and management should be cautious when using these models to assess the performance of their ICs.

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