Group decision support systems: An essential tool for resolving organizational conflicts (original) (raw)

23 Applied Research on Group Decision Support Systems

In the 1980s, computing and information technology underwent a fundamental transformation from centralized systems inaccessible to most users to personal computers and networks that put computing within reach of everyone.

Decision-Making in Organizations

Advances in Human Resources Management and Organizational Development, 2014

The use of a collaborative decision-making model has been shown to produce more creative solutions and to increase the size of the stakeholder pool, as well as increase the commitment of stakeholders to final decisions. This study combines the research in group decision-making using the functional theory and the bona fide group perspective along with the large body of research on Group Decision Support Systems (GDSS). The purpose is to assist organizations in both making decisions and understanding the processes used and individuals involved in those decisions. This longitudinal study of one university’s collaboration process presents their multiple planning efforts in accreditation and creating civility. Two participant-observers discuss several bona fide decision making groups across a five-year period along with the application of a GDSS that uses Saaty’s Analytic Hierarchy Process (AHP) to assist in that decision-making. The usefulness of GDSS is discussed and its future applica...

Experimental Studies of Group Decision Support Systems: An Assessment of Variables Studied and Methodology

By early 1996, approximately 140 different controlled experiments had been published in 164 articles in refereed journals or conference proceedings, which examined processes and outcomes in computer- supported group decision making. This paper is a concise overview of what has been studied and how: the systems, independent and intervening variables manipulated or measured, and experimental procedures employed. A subsequent paper will examine the dependent variables and findings of the experiments. The purpose is not only to provide a comprehensive summary of past research, but also to critically assess what has been studied little or inadequately, in order to inform design choices for future experiments.