Data-Driven Project Management (DDPM) in the Construction Industry: An Exploratory Study

Master Thesis (2020)
Author(s)

N.Y. Öcalan (TU Delft - Technology, Policy and Management)

Contributor(s)

Robert Verburg – Mentor (TU Delft - Economics of Technology and Innovation)

P.E. Vermaas – Graduation committee member (TU Delft - Ethics & Philosophy of Technology)

Serkan Sen – Coach (Ballast Nedam)

Faculty
Technology, Policy and Management
Copyright
© 2020 N.Y. Öcalan
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 N.Y. Öcalan
Graduation Date
15-07-2020
Awarding Institution
Delft University of Technology
Programme
['Management of Technology (MoT)']
Faculty
Technology, Policy and Management
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Abstract

With the increasing amounts of data generated from various sources, companies are now aware of the data-driven applications more than ever. In the built environment, building or infrastructural projects are handed over as end-product and these projects are complex. Thus, this data disturbance requires multiple ways of project management practices. The study aims to explore the current state and future uses of data-driven technologies in the construction domain by identifying different project components from the project management stance. The proposed research includes a desk research for data-driven activities in the construction industry and a single case-study methodology which is supported by interviews and a focus group discussion. The study results reveal the importance of each project component on transforming data into information and standards in order to fully implement the technology for different project purposes. Therefore, the research contributes to developing a body of knowledge on data-driven construction management methods by identifying the status quo and serves a starting point for construction managers and researchers regarding data-driven approach.

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