Digital disruption of the AEC industry: technology-oriented scenarios for possible future development paths

Decision-makers in the architecture, engineering and construction (AEC) industry lack knowledge about the implementation of digitalization to generate value. We applied a scenario planning method developed by Schoemaker and Mavaddat to provide decision-makers with information for using digital data...

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Veröffentlicht in:Construction management and economics Jg. 36; H. 11; S. 635 - 650
Hauptverfasser: Lavikka, Rita, Kallio, Johanna, Casey, Thomas, Airaksinen, Miimu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Routledge 02.11.2018
E. & F.N. Spon
Schlagworte:
Boundaries
boundary objects
boundary spanning
Construction industry
Decision theory
Digital
Digital data
Digital technology
Digitization
Disruption
scenarios
Steering
ISSN:0144-6193, 1466-433X
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Beschreibung
Zusammenfassung:Decision-makers in the architecture, engineering and construction (AEC) industry lack knowledge about the implementation of digitalization to generate value. We applied a scenario planning method developed by Schoemaker and Mavaddat to provide decision-makers with information for using digital data and technologies to create value for customers. We aim to theoretically understand how the scenario planning process helps AEC decision-makers to make sense of the future. Our findings show that boundary spanners are needed for steering the discussions among industry actors towards shared knowledge about the technological, social, economic and political changes needed at the industry level to optimize the benefits of digitalization. Our findings also show that boundary spanners apply scenario figures as boundary objects to cross knowledge boundaries. Based on our findings, we theoretically conceptualize scenario planning as a boundary-spanning activity that enables AEC decision-makers from different fields to share tacit knowledge and to cross knowledge boundaries. The practical implication is that scenario planning provides a method for AEC decision-makers to make sense of the changes needed to realize the preferred future for the industry.
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ISSN:0144-6193
1466-433X
DOI:10.1080/01446193.2018.1476729