TY - CONF TI - Understand the relationships between communication behaviors and team performance in last planner system implementation C1 - Singapore, Singapore C3 - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34) SP - 1087 EP - 1098 PY - 2026 DO - 10.24928/2026/0202 AU - Liu, Canlong AU - González, Vicente A. AU - Lee, Gaang AD - Lecturer, School of Architecture and Design, Hunan University of Science and Technology, China, canlongliu@hotmail.com, orcid.org/0000-0001-6653-9920 AD - Professor and Tier 1 Canada Research Chair in Digital Lean Construction, Infrastructure Human Tech (IHT) Lab, Department of Civil and Environmental Engineering, Faculty of Engineering, University of Alberta, Canada, vagonzal@ualberta.ca, orcid.org/0000-0003-3408-3863 AD - Assistant Professor, Hole School of Construction Engineering, Department of Civil & Environmental Engineering, University of Alberta, Canada, gaang@ualberta.ca, orcid.org/0000-0002-6341-2585 ED - Hamzeh, Farook ED - Poshdar, Mani ED - Garcia-Lopez,, Nelly P. AB - Drawing on sociotechnical systems theory, the effective implementation of the Last Planner® System (LPS) requires the motivation and empowerment of individuals to collaborate effectively. To improve LPS implementation performance, it is necessary to examine how social mechanisms within LPS influence team performance, with particular attention to social interactions. Although prior case studies suggest that certain communication behaviors may be associated with LPS performance, their analyses often involve substantial uncertainty and limited capacity to isolate and quantify behavioral effects. To address this gap, this study conducted an immersive virtual reality (IVR) experiment, where LPS was implemented while minimizing involvement of potentially confounding factors, thereby exclusively examining the association between communication behaviors and team performance. Correlation and regression analyses indicate that frequency of formative communication was positively correlated with team performance, while negotiation and identification behavior were the two strongest predictors. These findings provide empirical grounding for improving commitment management system (CMS) and for developing behavior-based machine-learning models to predict team performance in LPS contexts. KW - Last Planner® System KW - collaboration KW - language action perspective KW - performance KW - immersive virtual reality. PB - T2 - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34) DA - 2026/06/22 CY - Singapore, Singapore L1 - http://iglc.net/Papers/Details/2505/pdf L2 - http://iglc.net/Papers/Details/2505 N1 - Export Date: 19 June 2026 DB - IGLC.net DP - IGLC LA - English ER -