TY - CONF TI - Success in Interrelated Supply Chain: an Analysis of the Human Behaviour Under Crisis C1 - Lille, France C3 - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) SP - 1698 EP - 1708 PY - 2023 DO - 10.24928/2023/0201 AU - Poshdar, Mani AU - Herrera, Rodrigo F. AU - González, Vicente A. AD - Senior lecturer, School of Future Environment, Auckland University of Technology, Auckland, New Zeland, mani.poshdar@aut.ac.nz, orcid.org/0000-0001-9132-2985 AD - Assistant Professor, School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile, rodrigo.herrera@pucv.cl, orcid.org/0000-0001-5186-3154 AD - Professor and Tier 1 Canada Research Chair in Digital Lean Construction, Hole School of Construction Engineering, Department of Civil and Environmental Engineering, University of Alberta, Canada, vagonzal@ualberta.ca, orcid.org/0000-0003-3408-3863 AB - A wealth of studies is available on the key success factors of managing interrelated projects in a construction supply chain. The human factor, however, is often overlooked in normative success solutions. According to classical management theory, individuals are expected to act rationally and maximise their utility. Although, due to an individual's computational and cognitive abilities, decision-makers often choose the first satisfactory course of action rather than searching for the optimal course of action, particularly during times of crisis. This study adopted a surrogate model to conduct a series of laboratory simulations that involved human behaviour. A comprehensive literature review was conducted to determine the experiment design, followed by sixteen hours of experiments that spanned two countries investigating decision-making behaviour within two prominent management models: the traditional and collaborative models. In order to identify patterns in the perception of the participants regarding real success factors, a content analysis was performed on their questionnaire responses. This analysis identified three key characteristics of construction success and the top characteristics required to succeed under each model investigated. By sharing these insights and lessons learned, teams can gain a deeper understanding of what it takes to succeed in a competitive environment. KW - A wealth of studies is available on the key success factors of managing interrelated projects in a construction supply chain. The human factor KW - however KW - is often overlooked in normative success solutions. According to classical management theory KW - individuals are expected to act rationally and maximise their utility. Although KW - due to an individual's computational and cognitive abilities KW - decision-makers often choose the first satisfactory course of action rather than searching for the optimal course of action KW - particularly during times of crisis. This study adopted a surrogate model to conduct a series of laboratory simulations that involved human behaviour. A comprehensive literature review was conducted to determine the experiment design KW - followed by sixteen hours of experiments that spanned two countries investigating decision-making behaviour within two prominent management models: the traditional and collaborative models. In order to identify patterns in the perception of the participants regarding real success factors KW - a content analysis was performed on their questionnaire responses. This analysis identified three key characteristics of construction success and the top characteristics required to succeed under each model investigated. By sharing these insights and lessons learned KW - teams can gain a deeper understanding of what it takes to succeed in a competitive environment. PB - T2 - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) DA - 2023/06/26 CY - Lille, France L1 - http://iglc.net/Papers/Details/2136/pdf L2 - http://iglc.net/Papers/Details/2136 N1 - Export Date: 03 April 2025 DB - IGLC.net DP - IGLC LA - English ER -