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Understanding knowledge sharing in the Jordanian construction industry

Arif, M; Mohammed, AZ; Gupta, AD

Authors

M Arif

AZ Mohammed

AD Gupta



Abstract

Purpose – The purpose of this paper is to develop a model to understand and facilitate more
knowledge sharing (KS) among construction companies in Jordan. Sixteen cultural variables that affect
KS were identified through self-administered questionnaires.
Design/methodology/approach – Factor analysis was used to find possible relationships between
the cultural variables for grouping purposes and to eliminate the cultural variables that do not affect KS.
The results of factor analysis were further refined using a brainstorming session and Analytic
Hierarchy Process (AHP) was used to prioritise the factors obtained through the factor analysis.
Findings – Trust, management and communication were identified as the three most important
factors, whilst communication was acknowledged as the least important factor.
Originality/value – This research uses factor analysis and AHP to study the influence of cultural
factors on KS. It develops a hierarchy of factors that affect effective KS within the Jordanian context.
The paper investigated KS in-depth and highlighted the components that constitute KS in an
organisation. Based on extensive literature review, this study found the relative importance of different
factors that affect KS. The emphasis on trust was found to be more critical than the presence of a
computer-based system. In addition, this is the first paper of this type to look at KS in the context of the
Jordanian construction industry.

Citation

Arif, M., Mohammed, A., & Gupta, A. (2015). Understanding knowledge sharing in the Jordanian construction industry. Construction innovation (London. Online), 15(3), 333-354. https://doi.org/10.1108/CI-03-2014-0018

Journal Article Type Article
Publication Date Jan 1, 2015
Deposit Date Aug 13, 2015
Journal Construction Innovation: Information, Process, Management
Print ISSN 1471-4175
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 15
Issue 3
Pages 333-354
DOI https://doi.org/10.1108/CI-03-2014-0018
Keywords Knowledge management, Factor analysis, Knowledge sharing, Analytic hierarchy
Publisher URL http://dx.doi.org/10.1108/CI-03-2014-0018