The influence of collaborative technology knowledge on advice network structures

Authors:
Mark Keith;Haluk Demirkan;Michael Goul
Affiliations:
Department of Information & Decision Management, College of Business, West Texas A&M University, United States;Department of Information Systems, W. P. Carey School of Business, Arizona State University, United States;Department of Information Systems, W. P. Carey School of Business, Arizona State University, United States
Venue:
Decision Support Systems
Year:
2010

Citing 16
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Abstract

This research describes an experiment designed to understand how an individual's knowledge concerning task-critical technologies influences the structure of their advice network relationships. The results indicate that an individual's technology knowledge leads them to become more central depending on the type of technology, their formal group structure, and task uncertainty. These results contribute to the theory on advice networks by demonstrating how individual knowledge, task uncertainty, and group departmentation influence the evolution of an advice network structure. It suggests that managers should make informed decisions about the formal group structuring and technology training which can improve their employee's advice networks.