This study explores the role information technology (IT) plays in organizational downsizing by studying two medium-sized American cities over a period of 10 years (1985-1995). Data were collected through 73 interviews, a questionnaire, and numerous documents. Four main findings emerged from the case studies. First, IT was found to facilitate organizational downsizing, but not to cause it. New City invested heavily in state-of-the-art IT over the years and more successfully downsized the organization than Old City, which lagged behind in IT investment and made no serious attempts to use IT as a tool to support strategic actions. Second, adverse environmental conditions triggered downsizing in both cities and determined the change strategies that managers used. When environmental pressures were mild (1985-1990), managers favored a convergent change strategy that resulted in limited downsizing efforts and small personnel reductions. In contrast, when environmental pressures were strong (1990-1995), managers of both cities engaged in strategic reorientation and in downsizing efforts that led to larger personnel reductions. Third, the role IT played in organizational downsizing varied according to the change strategy. IT was used to facilitate work redesign in a convergent change strategy and to facilitate more significant structural and work redesign in strategic reorientation. Fourth, more integrated and better use of IT allowed managers of New City to downsize more rationally and efficiently.It facilitated the transfer of personnel within departments, from middle management to the operations level, and across departments, from internally oriented to customer-oriented personnel. In doing so, managers of New City minimized operating costs while maintaining the same level of services. In contrast, IT in Old City did not facilitate such an agenda and managers downsized more superficially across the board, in all departments. Differences in IT consequences in the two cities are explained using the theory of slack resources in organizations.

In this paper we analyze the empirical research on the impacts of electronic meetings on group processes and outcomes. We define and differentiate two broad types of electronic meeting systems: Group Decision Support Systems (GDSS) and Group Communication Support Systems (GCSS). We then present a framework and method for analyzing the impacts of such information systems on groups that we develop from the literature of organization behavior and group psychology. We review the empirical research and findings concerned with the impacts of GDSS and GCSS on groups, and we compare and contrast these findings. Finally, we conclude by discussing the implications of our analysis on the focus of attention and the design of future research. Our review of the empirical research suggests that GDSS and GCSS have similar impacts on some aspects of group processes and outcomes, but opposite impacts on other aspects. GDSS and GCSS both increase the depth of analysis of groups, increase participation, decrease domination by a few members, and increase decision quality. On the other hand, GDSS increase consensus reaching, decrease decision time, increase confidence in the decision by the group members, increase the satisfaction of group members with the process, and increase the satisfaction of the group members with the decision. GCSS decrease cooperation, increase the time to reach a decision, and decrease the confidence in decisions. © 1990.

In this paper we analyze the empirical findings on the impacts of technological support on group. We define and differentiate two broad technological support systems for group processes: Group Decision Support Systems (GDSS), and Group Communication Support Systems (GCSS). We then present a framework and method for analyzing the impacts of such information systems on groups. We develop the framework from the literature of organization behavior and group psychology and apply it to literature of MIS. We then review the empirical research and findings concerned with the impacts of GDSS and GCSS on groups, and we compare and contrast these findings. Finally, we conclude by discussing the implications of our analysis on the focus of attention and design of future research. Five Major implications stem from our analysis: (1) there is lack of research on some important "formal" factors of groups, (2) there is a paucity of research on the impacts of GDSS and GCSS on the informal dimension of groups, (3) there is a need to move away from laboratory settings to field study in organization settings, with "real" manager, (4) more research is needed on stages of group development and on how they affect the impacts of GDSS and GCSS on groups, and (5) more research is needed to understand how the structure imposed by the technological supports affect group processes. © 1989.