Framework to assess connection of risk factors and management strategies in Building Information Modeling

The implementation of Building Information Modeling (BIM) technology is advancing within the construction industry. However, there are several risks and challenges associated with the implementation process. Nowadays, there is a lack of research on management strategies to minimize or eradicate these risk factors. The objective of this work is to assess and select the most appropriate theoretical framework to examine the interrelations between risk factors and management strategies based on the publications available in Scopus and Google Scholar. Information has been processed using NVivo 12 Pro software via thematic and content analysis to extract risk factors and suitable theories/theoretical lens. The analysis reveals that the DeLone and McLean information systems (IS) success model is appropriate to examine risk factors within technical aspects from a single-dimensional perspective, while the Socio-technical system theory is preferred for considering socio-technical aspects from a multidimensional perspective. Thus, the new approach merges two concepts, namely, BIM-based construction networks and Leavitt socio-technical model, to analyze the situation in a more holistic manner. This article explores the theoretical concepts of risks in the BIM implementation and various methodological approaches from previous BIM and other information technology (IT)-related studies. The findings provide evidence from a single-dimensional perspective extending to areas with limited research such as the amalgamated aspects. Therefore, they establish a robust and adaptable theoretical framework with global relevance contributing to the generation of new knowledge. Further research is recommended to assess the financial and contractual theories for verification in BIM studies.