12 research outputs found

    A Comparison of Public Versus Private Sector Development and Operation of Executive Information Systems

    Get PDF
    Academic research in the field of executive information systems (EIS) has explored the features, benefits, development methodologies, implementation factors, data management issues, and success factors of these systems(Watson, Rainer, and Koh, 1991; Mohan, Holstein, and Adams, 1990). Watson, et al., (1991) provided a framework for understanding the development and operation of an EIS. They suggested that the decision to build an EIS should be driven by a specific business, and an executive sponsor should: champion the project, allocate the required resources, participate in the system\u27s design, and handle any political resistance.While previous research has rigorously addressed many issues, the managerial prescriptions offered have been generic. Few EIS researchers have investigated the role an organization\u27s environment may play in developing and operating these systems. Lederer and Mendelow (1990) developed a theoretical model which suggests that contingencies in theenvironment impact the management of information systems. As a result, managers develop strategies to manage their dependence on environmental resources and reduce the extent of environmental control. Bozeman and Straussman (1990) argued that strategic activities are impacted by sectoral differences generated by political authority. Because strategic activities largely falling into the domain of executives and other upper-level managers, these differences may not be evident in lower-and middle-level management activities. If this distinction is accurate, the impact of political authority would be evident in the activities for which EIS are specifically developed and used.The purpose of this study is to begin to incorporate environmental factors, specifically sectoral differences, into EIS research knowledge and subsequently into managerial prescriptions. The question answered by this research is: What are the differences between the private sector and public sector regarding EIS development and operation?The differences between private and government organizations are at the core of public administration theory and have been the topic of an on-going stream of research. Differences have been found, for example, in personnel management, decision making, and information systems (Bretschneider 1990). These differences often have their roots in environmental factors, organization-environment transactions, and internal structures and processes (Rainey, Backoff, and Levine 1976). Growing literature in management (Perry and Rainey, 1988) has argued that business organizations face a different environment than government organizations, thus leading to observable differences in organizational behavior and management. Some of these arguments have been applied to themanagement of computers (Bretschneider, 1990). A second argument for focusing on sectoral differences is that the existence of sectoral differences has not been readily acknowledged as an important issue by many management scholars, resulting in a need for further empirical evidence on the nature and extent of such differences (Bozeman and Bretschneider, 1986

    Crossing the Chasm - Understanding China's Rural Digital Divide

    No full text
    The digital divide is a mounting concern for economic growth and social development of developing countries. As the largest developing country, China has a severe digital divide in rural areas. As part of the endeavor to build a harmonious society, China has devoted tremendous resources to bridging the rural digital divide; however, the results are thus far inconclusive. To better understand and tackle China\u27s rural digital divide, theoretically grounded empirical research is needed. Drawing upon the theory of planned behavior (TPB), this study aims to understand the critical reasons that essentially caused China\u27s rural digital divide. The model is empirically tested using the survey data collected from 924 Chinese Internet users. The results reveal distinct behavioral models between rural and urban users. Implications for research and practice are discussed
    corecore