scholarly journals Team learning, transactive memory system and team performance: A longitudinal study based on the IMOI approach

2010 ◽  
Vol 4 (3) ◽  
pp. 409-422 ◽  
Author(s):  
Shenjiang Mo ◽  
Xiaoyun Xie
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.


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.


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.


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