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The role of industry: An analytical framework to understand ICT transformation within the AEC industry
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Business Administration.
School of engineering, Jönköping university, Jönköping, Sweden.
Department of Real Estate and Construction, University of Hong Kong, Hong Kong, HK.
2017 (English)In: Construction Management and Economics, ISSN 0144-6193, E-ISSN 1466-433X, 1-16 p.Article in journal (Refereed) Epub ahead of print
Abstract [en]

Despite wide-ranging research on information and communication technologies (ICT) in the Architecture, Engineering and Construction (AEC) industry, little is known about the role that industry plays in the adoption and use of ICT. Based on observations of how the drivers for ICT use seem to be inconsistent with the industry’s central characteristics, and drawing on information systems (IS) research that demonstrates the role of shared systems of meaning, the purpose here is to develop an analytical framework that explains how industry shapes the adoption and use of ICT. Building on a theoretically driven approach and a case study, a framework is rst sketched and then substantiated through empirical illustrations. Three dimensions of industry are highlighted: the socio-cognitive environment, the market and production environment and institutional actors. It is explained how the interplay of these dimensions shapes the way the industry functions, which in turn in uence the adoption and use of ICT. The outcomes of the interplay can either be aligned or misaligned with ICT, which explains why certain aligned applications are rapidly adopted, whereas other applications are not. The primary implication is that the framework can aid in analysing the need for structural adaptation when trying to achieve ICT-induced change. 

Place, publisher, year, edition, pages
2017. 1-16 p.
Keyword [en]
Industry analysis, AEC industry, ICT, Transformation, Analytical framework
National Category
Business Administration
Research subject
Business Studies; Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-133978DOI: 10.1080/01446193.2017.1315148OAI: oai:DiVA.org:umu-133978DiVA: diva2:1090439
Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-08-07

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf