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Using social network analysis to measure transactive memory systems

Kylie King (Stiller School of Business, Champlain College Robert E and Holly D Miller Information Commons, Burlington, Vermont, USA)
Tracy Sweet (Department of Human Development and Quantitative Methodology, University of Maryland at College Park, College Park, Maryland, USA)

Team Performance Management

ISSN: 1352-7592

Article publication date: 22 December 2020

Issue publication date: 16 March 2021

250

Abstract

Purpose

This study aims to explore how social networks could be used in the measurement of transactive memory systems (TMS) or other team constructs and provide motivation for future analyses of TMS measurement.

Design/methodology/approach

TMSs describe the structures and processes that teams use to share information, work together and accomplish shared goals. This paper proposes the use of social network analysis in measuring TMS. This is accomplished by describing the creation and administration of a TMS network instrument and evaluating the relation of the proposed network measures, previous measures of TMS and performance.

Findings

Findings include that proposed network measures perform similarly to previously proposed, frequently used measures of TMS.

Originality/value

To the best of the authors’ knowledge, this is among the first papers to propose network measures for the evaluation of TMS.

Keywords

Citation

King, K. and Sweet, T. (2021), "Using social network analysis to measure transactive memory systems", Team Performance Management, Vol. 27 No. 1/2, pp. 80-98. https://doi.org/10.1108/TPM-05-2020-0043

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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