Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20929
Title: Governance of learning mechanisms : evidence from construction firms
Authors: Fong, PSW 
Chen, L
Keywords: Construction companies
Construction management
Contractors
Evaluation
Knowledge-based systems
Performance characteristics
Issue Date: 2012
Publisher: American Society of Civil Engineers
Source: Journal of construction engineering and management, 2012, v. 138, no. 9, p. 1053-1064 How to cite?
Journal: Journal of construction engineering and management 
Abstract: The focus of knowledge management (KM) in the construction industry is moving towards capability building for value creation. The study reported by this paper is motivated by recent assertions about the genesis and evolution of knowledge management capability (KMC) in the strategic management field. It attempts to shed light on the governance of learning mechanisms that develop KMC within the context of construction firms. A questionnaire survey was administered to a sample of construction contractors operating in the very dynamic Hong Kong market to elicit opinions on the learning mechanisms and business outcomes of targeted firms. On the basis of a total of 149 usable responses, structural equation modeling (SEM) analysis identified relationships among knowledge-governance mechanisms, knowledge processes, and business performance, thereby supporting the existence of strategic learning loops. The study findings provide evidence from the construction context for capability assertions that knowledge-governance mechanisms and processes form learning mechanisms that carry out strategic learning to create value, effect performance outcomes, and ultimately drive the evolution of KMC. The findings imply that it is feasible for managing construction firms to govern learning mechanisms through managing the capability-based holistic KM system, thereby reconfiguring KMC to match needs in the dynamic market environment over time.
URI: http://hdl.handle.net/10397/20929
ISSN: 0733-9364
EISSN: 1943-7862
DOI: 10.1061/(ASCE)CO.1943-7862.0000521
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