Abstract

The use of new, digitally enabled innovations, such as building information modeling (BIM), raises issues such as the delineation of a competent leader. Even though BIM-based competency assessment models have become essential tools for maximizing the potential values of BIM implementation, the current competency models provide limited focus on leadership aspects that facilitate and enhance the BIM implementation efforts. This paper seeks to identify the specific competencies required for BIM implementation and examines the relationships between these competencies. Thirty-two experts from around the globe investigated a total of 15 leadership competencies under three categories pertaining to intellectual, managerial, and emotional leadership. Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) was implemented to examine the cause-and-effect relationships among the BIM leadership competencies and fuzzy analytic network process (ANP) was performed to weigh those competencies. Findings show that the intellectual competencies act as the cause group, while managerial and emotional competencies are the effect groups. Moreover, the involving leadership is found to be the more suitable leadership style for BIM professionals, given the current capability and maturity levels of BIM implementation, in order to deal with the required changes throughout the BIM implementation process. This study contributes to the existing body of knowledge in the BIM domain to examine the associated leadership competencies by using the multi-criteria decision-making (MCDM) technique. The results of this research show the relative importance of criteria and sub-criteria, which contributes to further improvement of BIM leadership.

Highlights

  • Building information modeling (BIM) is one of the current architecture, engineering, and construction (AEC) industry innovations, and its proliferation has led to the emergence of a range of new roles and responsibilities [1,2]

  • Determination of suitable leadership competencies is vital for building information modeling (BIM) leaders, managers, and coordinators to help establish a clear framework for evaluation and development

  • In order to determine the interdependency between the three leadership competency groups (Table 1), fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) was applied

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Summary

Introduction

Building information modeling (BIM) is one of the current architecture, engineering, and construction (AEC) industry innovations, and its proliferation has led to the emergence of a range of new roles and responsibilities [1,2]. Integrating extended reality (ER) with a BIM approach assists practitioners to improve their project management processes in a number of ways. Identifying as-is building objects through the application of an image-driven system [5] and realizing as-built defects in prefabricated components by implementation of a BIM laser scanning system [6] are two outcomes of this integration. These approaches underpin future education and training of architects and engineers alike [7]

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