Keystone players in collaborative building information modeling — form of contribution in Japanese large-scale projects

The stagnation of construction productivity is becoming increasingly serious in Japan with the decreasing workforce. Although BIM has attracted attention to overcome this problem, its adoption not progressed among small organizations. Expanding use should be driven by influence large This paper stratifies users cross-analysis using log mining, a newly emerging analytics approach based on Autodesk Revit, combined recorded software session times other improve shortcomings existing method. target company, Japanese general contractor, where external dispatched personnel accounted for most activities, needed recognize permanent employees who undertake crucial role promoting cooperative projects termed keystone players. machine learning-based clustering algorithm and visual discovered group collaborative whose intensity was weaker than proficient but provided substantial proportion team's workforce, including multiple applications. semi-structured interviews as verification process further clarified that they positively perceive collaboration operators; while delegating tasks, strive their own knowledge respect equal collaboration. methodology provides an indispensable dashboard project communication, which pivotal factor influencing utilization whole industry. contribution research threefold; extended mining technique, discovery players, exclusive focus relationship environment.