Formation of collective sensemaking against calamities in global construction engineering projects
Main Article Content
Abstract
Collective sensemaking becomes prominent to the teams in global construction engineering project (GCEP) settings in order to enable resilience against the calamites encountered. Both natural and man-made calamities that are come across in these projects influence the team performance adversely and these teams need enabling resilience against them. For this purpose, they need making collective sense promptly to know what is going on around the work environment. However, making collective sense is a significant challenge for these teams because the team members do not have face-to-face interaction in a physical proximity due to their virtual team set up. Therefore, knowing how collective sensemaking is made of can facilitate them to identify the best practices for its formation. However, what components make collective sensemaking in the GCEP team settings is still a significant knowledge gap although a plethora of literature is available in this research context. Thus, this paper conceptualizes the model of collective sensemaking with its components through literature and confirms its model fit through the results of a questionnaire survey among the team members in the GCEP settings. Both exploratory factor analysis and confirmatory factor analysis have been used to confirm this model. The teams in GCEP settings can use this model to understand what aspects are to be prioritized for the formation of collective sensemaking to become resilient against calamities. This finding becomes an original contribution to the construction management research domain and the future researchers can use them to develop further theories and practices.
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How to Cite
Formation of collective sensemaking against calamities in global construction engineering projects. (2026). Construction Economics and Building, 26(1). https://doi.org/10.5130/j775ff06
References
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Júnior, L.C.R., Frederico, G.F. and Costa, M.L.N. 2023. Maturity and resilience in supply chains: a systematic review of the literature. International Journal of Industrial Engineering and Operations Management, 5(1), pp.1-25.
Kanwar, S. and Sharma, P.K., 2024. Overall construction safety and terror management. In AIP Conference Proceedings, 2986(1), AIP Publishing.
Kim, J.O. and Mueller, C.W., 1978. Factor analysis: statistical methods and practical issues. sage.
Kleemola, A. 2005. Group benchmarking as a model for knowledge creation in supply management context. Tampere University of Technology.
Klein, G., Wiggins, S. and Dominguez, C.O. 2010. Team sensemaking. Theoretical Issues in Ergonomic Science, 11(4), pp.304-320.
Knight, E., Lok, J., Jarzabkowski, P. and Wenzel, M. 2024. Sensing the room: the role of atmosphere in collective sensemaking. Academy of Management Journal.
Lynn, G.S., Reilly, R.R. and Akgün, A.E. 2000. Knowledge management in new product teams. IEEE Transactions on Engineering Management, 47(2), pp.221-231.
Mokline, B. and Ben Abdallah, M.A., 2022. The mechanisms of collective resilience in a crisis context: The case of the ‘COVID-19’crisis. Global Journal of Flexible Systems Management, 23(1), pp.151-163.
Moorman, C. 1995. Organizational market information processes. Journal of Marketing Research, 32. pp.318-335.
Naderifar, M., Goli, H. and Ghaljaie, F., 2017. Snowball sampling: a purposeful method of sampling in qualitative research. Strides in Development of Medical Education, 14(3).
Napitupulu, D., Kadar, J.A. and Jati, R.K., 2017. Validity testing of technology acceptance model based on factor analysis approach. Indonesian Journal of Electrical Engineering and Computer Science, 5(3), pp.697-704.
Neill, S., McKee, D. and Rose, G.M. 2007. Developing the organization's sensemaking capability. Industrial Marketing Management, 36(6), pp.731-744.
Nye, C.D., 2023. Reviewer resources: confirmatory factor analysis. Organizational Research Methods, 26(4), pp.608-628.
Obreja, D.M. 2024. When stories turn institutional: how TikTok users legitimate the algorithmic sensemaking. Social Media+ Society, 10(1).
Park, M.H., Lim, J.V. and Philip, H.B. 2009. The effect of multi-knowledge individuals on performance in cross-functional new product development teams. The Journal of Product Innovation Management, 26, pp.86-96.
Patton, M.Q., 1990. Qualitative evaluation and research methods. SAGE Publications, inc.
Pham, C.H., Nguyen, T.V., Bach, T.N., Le, C.Q. and Nguyen, H.V. 2023. Collective sensemaking within institutions: Control of the COVID‐19 epidemic in Vietnam. Public Administration and Development, 43(2), pp.150-162.
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