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Dynamic capabilities for digitalisation in the AECO sector – a scientometric review

Douglas Aghimien, Clinton Aigbavboa, Ayodeji Emmanuel Oke, David J. Edwards, Wellington Didibhuku Thwala, Chris Roberts

2021Engineering Construction & Architectural Management63 citationsDOI

Abstract

Purpose A scientometric review of extant literature is conducted to define and delineate upon the enabling dynamic capabilities required to engender the digitalisation of organisations operating in the architecture, engineering, construction and operations (AECO) sector. A secondary aim sought to provide direction for future studies and theories to be tested in this novel field of investigation as well as stimulate wider polemic debate amongst industry stakeholders. Design/methodology/approach An interpretivist philosophical stance and inductive approach was undertaken in this study, using a grounded theory strategy. Secondary data used was sourced from the Scopus journal database using specific related keywords. VOSviewer was used to prepare co-occurrence maps based on the bibliographic data gathered. Findings AECO organisations that seek digitalisation must possess the capability to sense and seize opportunities and threats within the business environment and reconfigure their business processes to best meet their market demand. This can be achieved by improving on attributes relating to industrial management and strategic planning, organisational learning, enterprise resource management and innovative information technology. Future studies should target novel areas such as AECO organisations' ambidexterity and service innovation. Originality/value This is the first study to explore the dynamic capabilities of AECO organisations in relation to digitalisation adoption. Therefore, the research serves as a robust theoretical background for signposting AECO organisations who seek to transition to digital solutions in the fourth industrial revolution.

Topics & Concepts

Dynamic capabilitiesAmbidexterityOriginalityKnowledge managementBusinessValue (mathematics)Extant taxonField (mathematics)EngineeringProcess managementComputer scienceSociologyQualitative researchSocial scienceMathematicsEvolutionary biologyPure mathematicsBiologyMachine learningDigital Transformation in IndustryBIM and Construction IntegrationConstruction Project Management and Performance
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