Relational energy plays a critical role in enhancing both individual and team performance. However, prior research has largely overlooked the structural antecedents of relational energy from a social network perspective and has seldom examined its formation and evolution at the team level. Drawing on the interaction ritual chain theory and the conservation of resources theory, this paper develops a team-level structure–resource dynamic model linking multiplex networks, relational energy, and performance. Specifically, it theorizes that relational energy operates through dual mechanisms across its generation and maintenance stages and examines the moderating role of team task interdependence. Using three-wave longitudinal data from 137 teams across seven companies, the study finds that multiplex network density enhances the stock of relational energy and further promotes team performance; while it suppresses the increment of relational energy, thereby constraining the growth of team performance. Team task interdependence mitigates this negative dynamic effect. By integrating static and dynamic paths, this paper reveals the double-edged nature of multiplex networks for relational energy. It advances the relational energy theory by introducing a structural perspective and enriches the dynamic explanatory framework of this theory at the team level.
/ Journals / Foreign Economics & ManagementForeign Economics & Management
JIN Yuying, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YinHuifang HeXiaogang LiuJianguo, Vice Editor-in-Chief
Multiplex Networks, Relational Energy, and Performance: An Integrated Static and Dynamic Model at the Team Level
Foreign Economics & Management Vol. 48, Issue 06, pp. 135 - 152 (2026) DOI:10.16538/j.cnki.fem.20260322.301
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Wang Yang, He Gang, Zhang Shengjun, et al. Multiplex Networks, Relational Energy, and Performance: An Integrated Static and Dynamic Model at the Team Level[J]. Foreign Economics & Management, 2026, 48(6): 135-152.
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