Whether and when team task conflict and relationship conflict transform over time: a meta-analysis based on cross-lagged panel model

任务(项目管理) 心理学 荟萃分析 社会心理学 面板分析 面板数据 计量经济学 管理 经济 医学 内科学
作者
J. Yu,Xuhua Wei
出处
期刊:International Journal of Conflict Management [Emerald Publishing Limited]
卷期号:36 (2): 452-479 被引量:5
标识
DOI:10.1108/ijcma-09-2024-0238
摘要

Purpose Debate persists regarding the transformation between team task conflict and relationship conflict. Based on conflict spiral and team effectiveness theory, this study aims to explore whether and when these conflicts transform over time. Design/methodology/approach To address endogeneity in existing research and to test theoretical model, the authors conduct a two-stage structural equation modeling meta-analysis using a cross-lagged panel model based on 32 longitudinal studies ( N = 2361). Findings The meta-analytic results are as follows: (a) Early team task conflict leads to an increased subsequent relationship conflict while controlling for another form of conflict at each time point (Time 1 and Time 2). This relationship is positively moderated by team size and negatively moderated by interdependence, but not moderated by time lag. Specifically, task conflict generates higher levels of relationship conflict in larger teams or teams with lower interdependence. (b) While controlling for another form of conflict at each time point, early relationship conflict within teams does not significantly relate to task conflict over time. Team size, interdependence and time lag do not significantly moderate this relationship. Research limitations/implications These findings help scholars better understand team conflict transformation processes and present managerial implications for practitioners. The limited sample sizes precluded the exploration of more moderators and the interactions among them. Originality/value The uniqueness of this paper is related to its effort in clarifying the temporal precedence of two forms of conflict, reconciling previous inconsistencies in conflict transformation by exploring moderators and addressing endogeneity in existing research.
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