Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/36027
Title: Empirical study to determine fragmentation of construction projects
Authors: Alashwal, AM
Fong, PSW 
Keywords: Barriers
Information
Integration
Partial least squares-path modeling (PLS-PM)
Spanning knowledge
Type II hierarchical model
Organizational issues
Issue Date: 2015
Publisher: American Society of Civil Engineers
Source: Journal of construction engineering and management, 2015, v. 141, no. 7, 4015016 How to cite?
Journal: Journal of construction engineering and management 
Abstract: Fragmentation is a well-known problem in the construction field; however, the literature shows a lack of a precise definition and appropriate measurement of this notion. The purpose of this paper is to determine indicators of fragmentation in construction projects using a second-order formative measurement model. The data were collected using a questionnaire survey from big building projects in Malaysia. Three procedures were used to analyze the data. First, we used principal component analysis (PCA) to determine fragmentation constructs and develop the hierarchical model. Second, partial least squares-path modeling (PLS-PM) was conducted to analyze the hierarchical model and validate the constructs. Lastly, a multicollinearity test was performed to validate the formative variables. The results indicated four new constructs of fragmentation, namely: integration, spanning knowledge across boundaries, barriers, and decoupling of diversity. This paper contributes to the development of a new definition of fragmentation and shows how it can be measured empirically. The new model paves the way to determine fragmentation's influence on other factors and the development of its theory in construction projects. The influence of fragmentation on project performance, for instance, can now be determined more accurately using this model.
URI: http://hdl.handle.net/10397/36027
ISSN: 0733-9364 (print)
1943-7862 (online)
DOI: 10.1061/(ASCE)CO.1943-7862.0000986
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