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Unpacking construction site digitalization: the role of incongruence and inconsistency in technological frames
Umeå University, Faculty of Social Sciences, Department of Informatics.ORCID iD: 0000-0002-8260-7038
Umeå University, Faculty of Social Sciences, Department of Informatics.ORCID iD: 0000-0002-4895-5493
Umeå University, Faculty of Social Sciences, Department of Informatics.ORCID iD: 0000-0003-0602-5404
2022 (English)In: Construction Management and Economics, ISSN 0144-6193, E-ISSN 1466-433X, Vol. 40, no 11-12, p. 987-1002Article in journal (Refereed) Published
Abstract [en]

Construction site operations often involve multiple actors with substantial variations in assumptions, expectations, and knowledge about technology. This could impair digitalization, which involves development of socio-cognitive environments that foster use of digital technology in new organizational procedures. Nevertheless, construction industry digitalization research has mainly addressed firm-level transformation of engineering phases and focused on technology, largely ignoring challenges arising from cognitive differences among actors at construction sites. Thus, we report a case study of attempts to spark construction site digitalization through a shared information management system (IMS). Applying technology frame of reference theory, we demonstrate how differences within groups among actors’ frames (inconsistency) shape group-level frame misalignment (incongruence) and thus digitalization outcomes. The IMS was implemented successfully at the focal firm’s headquarter and regional office levels. However, substantial construction site-level frame inconsistency led to misaligned group-level expectations and generated a fragmented socio-cognitive environment that hindered strategic digitalization. In conclusion, socio-cognitive environments at industry, construction site, and group levels recursively shape individual frames, and harmonization of frames is important to realize construction digitalization.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2022. Vol. 40, no 11-12, p. 987-1002
Keywords [en]
Industrial and Manufacturing Engineering, Building and Construction, Management Information Systems
National Category
Information Systems
Identifiers
URN: urn:nbn:se:umu:diva-188328DOI: 10.1080/01446193.2021.1980896ISI: 000703097500001Scopus ID: 2-s2.0-85133479881OAI: oai:DiVA.org:umu-188328DiVA, id: diva2:1600758
Available from: 2021-10-05 Created: 2021-10-05 Last updated: 2023-03-23Bibliographically approved

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Lundberg, OscarNylén, DanielSandberg, Johan

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Citation style
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  • asciidoc
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