Communicated by S. Wiedenbeck Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades have seen user acceptance models being proposed, tested, refined, extended and unified. These models have contributed to our understanding of user technology acceptance factors and their relationships. Yet they have also presented two limitations: the relatively low explanatory power and inconsistent influences of the factors across studies. Several researchers have recently started to examine the potential moderating effects that may overcome these limitations. However, studies in this direction are far from being conclusive. This study attempts to provide a systematic analysis of the explanatory and situational limitations of existing technology acceptance studies. Ten moderating factors are identified and categorized into three groups: organizational factors, technological factors and individual factors. An integrative model is subsequently established, followed by corresponding propositions pertaining to the moderating factors.

This study applies recent findings in the intrinsic motivation and computer self-efficacy research to Technology Acceptance Model in order to predict the use of web-based information systems. One hundred nine subjects participated in the study, which was conducted in a field setting with Blackboard system, a web-based class management system. A survey was administered at the beginning of the study and the actual use of the system was captured by the Blackboard system over eight weeks. The results largely support the proposed model, highlighting the important roles of perceived enjoyment, learning goal orientation, and self-efficacy in determining the actual use of the system.

As an emerging subfield of Management Information Systems (MIS), Human--Computer Interaction (HCI) or Human Factors studies in MISare concernedwith th wayshysS# interactwith information, techmation,S and tasks, especially in business, managerial, organizational, and cultural contexts. To date, few studieshud eithe synthS2E00 existing studies or drawn an overview picture of th HCI subfield in MIS. Th. paper first provides a framework of broad HCI issues and concerns. Itth0 reports an assessment of a sample ofpublishS HCI articles in two top MISjournals, MIS Quarterly andInformTKH5 System Research, over a period ofthB4E0S years (1990--2002). It identifiesth main topics studied,th mainresearch approach# utilized,th research publication patterns, and th needs for futureresearch e#orts inth; subfield.Th resultsshult be of interest toresearch29 inth2 subfield, in th MISfield, and inothR related disciplines for futureresearch collaboration, and publication.

Although gender differences in a technological world are receiving significant research attention, much of the research and practice has aimed at how society and education can impact the successes and retention of female computer science professionals—but the possibility of gender issues within software has received almost no attention. If gender issues exist with some types of software features, it is possible that accommodating them by changing these features can increase effectiveness, but only if we know what these issues are. In this paper, we empirically investigate gender differences for end users in the context of debugging spreadsheets. Our results uncover significant gender differences in self-efficacy and feature acceptance, with females exhibiting lower self-efficacy and lower feature acceptance. The results also show that these differences can significantly reduce females ’ effectiveness.

The Technology Acceptance Model (TAM) predicts whether users will ultimately use software applications based upon causal relationships among belief and attitudinal constructs that influence usage behavior. Electronic mail, or email, is a collaborative technology available to virtually all members of an organization, and typically, there are alternative email applications available for use. This study applies TAM to assess the user acceptance and voluntary usage of a particular email application, cc:mail, in two different organizations. The results largely validate TAM, although the findings suggest that certain external variables, namely length of time since first use, and level of education, directly affect email usage behavior apart from their influence as mediated through the perceived usefulness (PU) and perceived ease of use (PEOU) constructs. 1.

Human Computer Interaction(HCI) or Human Factors studies in MIS are concerned with the ways humans interact with information, technologies, and tasks, especially in business, managerial, organizational, and cultural contexts. This article describes the existence and importance of HCI research in the MIS discipline, its historical development, some of its characteristics, publication opportunities, and future research directions. It is believed that HCI is the subject of a strong research stream in MIS, and will continue to be strong in the foreseeable future. It is hoped that HCI studies can provide the evolution of the human centered technology development that enhances our work/job, our various needs, our organizations, our societies, and ourselves.

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This study examines the use of integrated communication and engineering design tools in a distributed learning environment. We examined students' attitudes toward the technology using two different approaches. First, we utilized the technology acceptance model to investigate the attitude formation process. Then, to investigate how attitudes changed over time, we applied social information processing model using social network analysis method. Using the technology acceptance model, we were able to demonstrate that students' initial expectation affected the perceptions of, attitudes toward, and use of the system. With social network analysis, we found that one's attitude change was significantly influenced by other students' attitude changes. We discussed the uniqueness of distance learning environments in the context of social influence research and how studies of distance learning could contribute to the research on the social influence of technology use. Keywords Technology acceptance model, Social influence, Network analysis, Attitude, Distance learning

There is evidence to suggest that health professionals are reluctant to accept and utilise information and communication technologies (ICT) and concern is growing within health informatics research that this is contributing to the lag in adoption and utilisation of ICT across the health sector. Technology acceptance research within the field of information systems has been limited in its application to health and there is a concurrent need to develop and gain empirical support for models of technology acceptance within health and to examine acceptance and utilisation issues amongst health professionals to improve the success of information system implementation in this arena. This paper outlines a research project that will examine ICT acceptance and utilisation by Australian occupational therapists. It describes the theoretical basis behind the development of a research model and the methodology that will be employed to empirically validate the model using substantial quantitative, qualitative and longitudinal data. The theoretical significance of this work is that it uses a thoroughly constructed research model, with potentially the largest sample size ever tested, to extend technology acceptance research into the health sector. The results of this study will have practical and theoretical applications for five major stakeholder groups.

This study addresses the factors that could affect the intention of physicians to adopt telemedicine technology. Based on the theoretical foundations of technology adoption models, a revised model is proposed and tested via a questionnaire with two groups of physicians that were, at the time of the survey, just about to use telemedicine technology. Group A is composed of physicians from a large urban healthcare provider institution involved in clinical, teaching, and research activities, and will soon use a telemedicine intranet solution. Group B is composed of physicians from rural areas who will eventually be linked to a telemedicine network. Results analyzed with PLS indicate that in both cases, physicians ' perception of usefulness of telemedicine is positively related to their intention to adopt this technology. This is the only common result between the two groups. Other significant yet different results indicate that the reactions of two types of potential adopters of telemedicine are influenced by their background and environment. This revised model helps in distinguishing the shades in the intention of adopting telemedicine between two distinct groups of physicians.