The influence of team faultlines on team performance: Mediating effect of team transactive memory system

2016 ◽  
Vol 48 (1) ◽  
pp. 84
Author(s):  
Shuai CHEN
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Su Min Kim ◽  
Moon Jung Kim ◽  
Sung Jun Jo

PurposeThis study aimed to investigate the relationships between individual team member's perception of team psychological safety (TPS), individual team member's perception of transactive memory system (TMS), individual team member's perception of team learning behavior (TLB) and individual team member's perception of team performance (TP).Design/methodology/approachThis cross-sectional study used a paper-based questionnaire that was distributed to 500 employees in travel-related industries and responses were received from 467 employees. Finally, 394 surveys were used after excluding insincere responses. Using SPSS & AMOS version 25.0, factor analysis, correlation, path analysis and mediation analysis were performed.FindingsThe findings reveal that there is a significant association between TPS, TMS, TLB and TP, except for the specialization subdimension of TMS and reflective communication and knowledge codification subdimensions of TLB. There was no mediation role of TLB; however, credibility and task coordination subdimensions of TMS showed partial mediating effects between TPS and TP.Originality/valueThis study offers suggestions for management, emphasizing the importance of TPS. Recent and rapid organizational changes have dramatically increased employees' job insecurity, which can affect their psychological safety. Therefore, organizations should actively support employees to feel psychologically stable to improve performance by utilizing TMS and TLB among individual team members.


2017 ◽  
Vol 23 (3) ◽  
pp. 124-135 ◽  
Author(s):  
Kylie Goodell King

Purpose The purpose of this paper is to describe the dispersion models, where within-team variance is the outcome of interest, and propose the application of these models to the measurement of the transactive memory system (TMS). As teams become increasingly prominent in educational contexts and within organizations, it is important to evaluate how various measures of individual and team attributes relate to team performance. One measure that has been evaluated by a number of previous empirical studies is TMSs. Design/methodology/approach In past studies of TMS and in most teams research, team-level data are collected and correlated with performance, or individual-level data are collected, aggregated to the team-level data and then correlated with performance. While this is appropriate in situations where data are isomorphic or similar across levels of measurement, there are often important differences among within-team responses that lead to a discrepancy between the sum of individual attributes and a team-level measure. Findings Preliminary results demonstrate that within-team variance in reported levels of TMS has an inverse relationship with team performance. Research limitations/implications Future research should further evaluate the ability for dispersion models of TMS to predict team performance, especially in organizational settings with professional rather than student teams. Originality/value This paper provides a new approach to measuring TMS and relating TMS to team performance.


2010 ◽  
Vol 38 (7) ◽  
pp. 865-869 ◽  
Author(s):  
Bangcheng Liu ◽  
Zhi Zang

Many researchers have shown that a transactive memory system (TMS) improves a team's performance. However, the relationship between TMS and team performance remains unexplored. In this longitudinal study of team efficacy, with 31 course teams, the results demonstrate that team efficacy fully mediates TMS and team performance. These findings have implications for improving team performance.


2018 ◽  
Vol 22 (1) ◽  
pp. 92-118 ◽  
Author(s):  
Chi-Cheng Huang ◽  
Ping-Kuo Chen

Purpose This study aims to explore the influence of social interaction processes on transactive memory system (TMS) practice, the mediation of knowledge integration to the relationship between TMS and team performance and the moderation of team psychological safety to the relationship among TMS, knowledge intentions and team performance. Design/methodology/approach The authors collected data from a sample of 366 team members from 55 research and development (R&D) teams in Taiwan and conduct the analysis using the partial least squares method. Findings The results of this study indicate that social interaction processes have a positive effect on a TMS; a TMS can foster team performance, but knowledge integration mediates the relationship between the TMS and team performance; and team psychological safety can moderate the relationship between the TMS, knowledge integration and team performance. Originality/value Existing studies not only fail to explore the influence of social interaction processes on a TMS practice but also lack empirical analyses to explore knowledge integration as a mediator and team psychological safety as a moderator. This study fills that gap by developing a model that includes these types of relationships and suggests the importance of the TMS in the context of R&D.


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