Expert Team Decision-Making and Problem Solving: Development and Learning

Simona Tancig ()
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Simona Tancig: University of Ljubljana

Interdisciplinary Description of Complex Systems - scientific journal, 2009, vol. 7, issue 2, 106-116

Abstract: Traditional research of decision-making has not significantly contributed towards better understanding of professional judgment and decisions in practice. Researchers dealing with decision-making in various professions and natural settings initiated new perspectives called naturalistic, which put the expert in the focus of research and the expertise thus entered the core of decision-making research in natural situations. Expert team is more than a group of experts. It is defined as a group of interdependent team members with a high level of task related expertise and the mastering of team processes. There have been several advances in understanding of expertise and the team. By combining theories, models, and empirical evidence we are trying to explain effectiveness and adaptation of expert teams in problem-solving and decision-making in complex and dynamic situations. A considerable research has been devoted to finding out what are the characteristics of experts and expert teams during their optimal functioning. These characteristics are discussed as input, process and output factors. As input variables the cognitive, social-affective, and motivational characteristics are presented. Process variables encompass individual and team learning, problem solving and decision-making as presented in Kolb's cycle of learning, in deeper structures of dialogue and discussion, and in phenomena of collaboration, alignment, and distributed cognition. Outcome variables deal with task performance - activities.

Keywords: decision-making; paradigm; expert team; learning; adaptation (search for similar items in EconPapers)
JEL-codes: D83 D84 (search for similar items in EconPapers)
Date: 2009
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