Technical developments in electronic communication, computing, and decision support, coupled with new interest on the part of organizations to improve meeting effectiveness, are spurring research in the area of group decision support systems (GDSS). A GDSS combines communication, computing, and decision support technologies to facilitate formulation and solution of unstructured problems by a group of people. This paper presents a conceptual overview of GDSS based on an information-exchange perspective of decision making, Three levels of systems are described, representing varying degrees of intervention into the decision process. Research on GDSS is conceived as evolving over time from the study of simple "shell" systems, consisting of menus of features available for selection by a group, to consideration of sophisticated rule-based systems that enable a group to pursue highly structured and novel decision paths. A multi-dimensional taxonomy of systems is proposed as an organizing framework for research in the area. Three environmental contingencies are identified as critical to GDSS design: group size, member proximity, and the task confronting the group. Potential impacts of GDSS on group processes and outcomes are discussed, and important constructs in need of study are identified.group decision making, decision support

Changes in the knowledge and skill requirements of information systems (IS) positions were examined by analyzing the content of advertisements for IS professionals placed in four major newspapers over the 20-year period 1970-1990. Three types of jobs were examined: programmers, systems analysts, and IS managers. The analysis of the frequency of phrases in these advertisements suggests that job ads for programmers have changed very little-technical requirements remain high, and business and systems knowledge requirements remain relatively low (although the frequency of mention of business requirements has increased somewhat). IS management positions are also relatively stable (as reflected in the makeup of job ads) from the standpoint that business knowledge requirements have remained high, with technical and systems requirements specified less frequently. The greatest transition in specified job requirements over this 20-year period has occurred for systems analysts. Although this is perhaps not surprising, the nature of this transition is. Contrary to expectations, the relative frequency and proportion of stated technical knowledge.requirements in ads have increased dramatically, while the relative frequency of business and systems knowledge requirements has actually decreased slightly. These results raise questions concerning the implicit understanding by academics and practitioners alike of the need for business knowledge on the part of systems analysts end other IS professionals. Various interpretations of these findings are provided, and the implications for both education and recruitment are discussed.

Brainstorming groups have consistently produced fewer ideas than have the equivalent number of individuals working by themselves. These results have been attributed to social loafing, evaluation apprehension, and production blocking in groups. In this study, a new brainstorming technique--electronic brainstorming--that may reduce both production blocking and evaluation apprehension was assessed. Electronic and nonelectronic groups and nominal and interacting groups were compared in a 2 x 2 factorial design. Electronic groups were more productive than nonelectronic groups, but the productivity of nominal and interacting groups did not differ. In contrast, interacting groups felt better about the idea-generation process than did nominal groups. Ways in which electronic brainstorming can reopen a long dormant area of research and application are discussed.

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Electronic brainstorming (EBS) has been proposed as a superior approach to both nominal brainstorming (working alone) and face-to-face brainstorming (verbal). However, existing empirical evidence regarding EBS's superiority over nominal brainstorming is weak. Through a comprehensive examination of the process gains and process losses inherent to different brainstorming approaches, this paper explains past results. The paper also suggests that the process gain versus process loss advantages of EBS technologies may not be large enough to enable EBS groups to outperform nominal groups. In an effort to find alternate ways of using EBS more productively, three conditions thought to increase EBS's process gains and decrease its process losses (thus improving its productivity) are identified. A laboratory experiment designed to compare the productivity of ad hoc and established groups using four brainstorming technologies (nominal, EBS-anonymous, EBS-nonanonymous, verbal), generating ideas on socially sensitive and less sensitive topics, in the presence and absence of contextual cues, is then described. The results of the experiment showed that overall, groups using nominal brainstorming significantly outperformed groups using the other three brainstorming approaches. Further, even under conditions thought to be favorable to EBS, nominal brainstorming groups were at least as productive as EBS groups. The paper explains these results by suggesting that the process gains of EBS may not be as large as expected and that the presence of four additional process losses inherent to EBS technologies impair its productivity. It is also argued that the prevailing popularity of group brainstorming (verbal or electronic) in organizations may be explained by the perceived productivity of those approaches. These perceptions, which are at odds with reality, create the illusion of productivity. A similar misperception may also cause an illusion of EBS productivity in the research community, especially when perceptual measures of group performance are used.

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