Offsite manufacturing research: A systematic review of methodologies used

Debates regarding research methodologies in construction, engineering and management (CEM) literature are long-standing. However, in the growing literature on offsite manufacturing (OSM), such debates are lacking and some studies conflate different components of research methodologies such as research design, methods, data sources, data types, and analytical techniques. This study examines the components of research methodologies reported in the OSM literature and how they compare with the established relationships between the key components of research methodologies. We analyse 74 articles on OSM sampled from 26 journals and find that quantitative methods, case studies, primary data, bibliometric database and modelling are the most preferred methodological approaches. The methodological components reported also cohere with established relationships between components of research methodology, other than the relationship between research methods and data sources. The findings reveal a growing hybridisation of research designs, data sources and analytical techniques, which suggests that methodological plurality is emerging in the OSM literature. This re-echoes concerns regarding the dominance of quantitative methods and the limited use of theory in CEM research, and consequently highlights the need for diversity in methodologies to expand knowledge boundaries.