From Asphalt to Algorithms: Digital Transformation in Road Construction

This dissertation, "From Asphalt to Algorithms: Digital Transformation in Road Construction", explores the potential impact of digital transformation in the traditionally slow-to-adapt road construction sector. It aims to develop an understanding of how lagging sector industries can move towards a digital transformation ideal. Through five research papers, the dissertation comprehensively examines socio-technical implications, intra-organizational dynamics, future pathways, public sector particularities, and practical applications of various aspects of digital transformation in road construction. Challenging narratives of digital transformation characterized by urgency and disruption, the results support a gradual, integrative approach to infrastructural, individual, organizational, and sectoral change that highlights the crucial role of the construction client, who is positioned at the heart of this transformation. The dissertation delineates a clear pathway for policymakers and practitioners, advocating for strategic digital integration and a culture of innovation essential for advancing road construction efficiency and sustainability. It also lays out a research agenda to further explore and support this transformative journey.

Has parts

Paper I: Kussl, S. & Wald, A. (2023). Smart Mobility and its Implications for Road Infrastructure Provision: A Systematic Literature Review. Sustainability, 15(1), 1-20. https://doi.org/10.3390/su15010210. Published version. Full-text is available in AURA as a separate file:

Paper II: Kussl, S., Wald, A. & Flak, L. S. (Forthcoming). Change must come from within: A Study of Digital Transformation in Construction Client Organizations. Journal of Construction Engineering and Management. https://doi.org/10.1061/JCEMD4/COENG-15089. Submitted version. Full-text is not available in AURA as a separate file.

Paper III: Kussl, S. & Wald, A. (Forthcoming). The Digital Transformation of the Client: A Determinant for Construction Innovation. Submitted version. Full-text is not available in AURA as a separate file.

Paper IV: Kussl, S. & Wald, A. (Forthcoming). Responding to External Imperatives: Pathways to Digital Transformation Success in Public Organizations. Submitted version. Full-text is not available in AURA as a separate file.

Paper V: Kussl, S., Omberg, K. & Lekang, O.-I. (2023). Advancing Vehicle Classification: A Novel Framework for Type, Model, and Fuel Identification Using Nonvisual Sensor Systems for Seamless Data Sharing. IEEE Sensors Journal, 23, 19390-19397. Accepted version. Full-text is not available in AURA as a separate file.

Publisher

Universitetet i Agder

Series

Doctoral dissertations at University of Agder;no. 501

Copyright

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal