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Measuring teamwork and team performance in collaborative work environments

Kylie Goodell King (Department of Decisions, Operations, and Information Technology, The University of Maryland, College Park, Maryland, USA)

Evidence-based HRM

ISSN: 2049-3983

Publication date: 7 August 2017

Abstract

Purpose

Tasks in today’s global marketplace are becoming increasingly reliant on the work of teams. As creativity and innovation are frequently required for organizational success, work teams are becoming more and more prominent within all types of organizations. With the rise of organizational teams, the purpose of this paper is to develop appropriate tools to measure how well these teams work together and how well they perform required tasks.

Design/methodology/approach

This paper outlines a measure of teamwork, a transactive memory system (TMS), and proposes new methods for using TMSs to measure team structures, processes, and performance. These new methods include dispersion models and social network analysis.

Findings

Dispersion models and social network analysis hold promise for the future evaluation of TMS and other team constructs.

Originality/value

This paper provides a summary of two novel approaches to the measurement of TMS and other team constructs.

Keywords

Citation

King, K. (2017), "Measuring teamwork and team performance in collaborative work environments", Evidence-based HRM, Vol. 5 No. 2, pp. 196-205. https://doi.org/10.1108/EBHRM-11-2016-0028

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Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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