Management of digital transformation projects in the AEC industry

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Abstract/Contents

Abstract
The rise of digitalization over the last couple of decades has opened new avenues for the Architecture, Engineering, and Construction (AEC) industry in terms of value creation. This immense potential of digitalization has motivated numerous AEC companies to invest in developing and adapting their digital capabilities. However, despite this enthusiasm, 85% of current big data and digitalization projects fail to deliver the anticipated value and many AEC companies are becoming increasingly anxious about their technology investments. They are struggling to reconcile their traditional and digital perspectives and are uncertain about prioritizing technology investments or selecting from competing technologies when developing digital strategies. Based on our interactions with over 200 practitioners, we observed that a part of this problem arises from two primary factors: (1) Inability to define (and therefore select) what "digitalization" means in a specific use case, given that there is little that cannot be digitalized, and (2) A lack of understanding of how to strategically implement the chosen form of "digitalization" and which stakeholders to involve in the process. To address this gap, this research makes four contributions. These findings are based on the data collected over five years (2018 -- 2023) from three primary sources: (1) Sixteen real-world longitudinal cases spanning between three to eighteen months, (2) Workshops with 173 executives involved in 53 digitalization projects across 42 companies, and (3) Interviews with over 30 experts, involving more than 70 hours of interaction. First, this research proposes a two-dimensional Levels of Digital Twin framework. This framework organizes the types and levels of digitalization according to their unique features and advantages. Furthermore, it highlights the efforts required to build these digitalization levels. Second, this work contributes the Digitalization framework. This framework helps practitioners select the suitable level of digitalization for their specific use case, thus building on the previously defined Levels of Digital Twin. Third, this study proposes a taxonomy for the common starting points for digitalization efforts in the AEC industry. This taxonomy helps practitioners assess their starting point before implementing the selected level of digitalization and determine the most appropriate implementation strategy. Fourth, this research contributes a 3-by-3 digitalization management framework. This framework outlines the strategic processes to follow and the stakeholders to involve in digitalization projects for a successful implementation. The validation of the frameworks revealed that practitioners found them useful in practice to better plan and develop digital strategies. However, the generalizability of the frameworks is limited, given that the case studies are only from the engineering and construction industry. Future research could focus on comparing the findings and their implications with the challenges facing manufacturing, software, and service companies.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Agrawal, Ashwin
Degree supervisor Fischer, Martin
Thesis advisor Fischer, Martin
Thesis advisor Burgelman, Robert
Thesis advisor Singh,Vishal
Degree committee member Burgelman, Robert
Degree committee member Singh,Vishal
Associated with Stanford University, School of Engineering
Associated with Stanford University, Civil & Environmental Engineering Department

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Ashwin Agrawal.
Note Submitted to the Civil & Environmental Engineering Department.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/hc927nn0157

Access conditions

Copyright
© 2023 by Ashwin Agrawal
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

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