The competitive environment
observed in the international construction sector has reflected in the Turkish
construction sector through joint projects. In order to achieve competitive
advantage in joint construction projects and to achieve success against
national competitors, it is necessary to review resource selection strategies. In
this context, the main purpose of this study is to look at the resource
selection criteria of the construction companies in terms of International
Resource-Based Theory. The 77 resources of the construction firms reviewed
during this study were evaluated by taking into consideration their ability to
be strategic resource and their competitive advantages. In this study, the Building
Information Modelling (BIM) tools and technique, which has been spoken as a
resource that will benefit competition in Turkey in recent years, was discussed
as an objective and the research problem was whether BIM is a strategic
resource or not. In the resource evaluation process, resources should be listed
and evaluated by firm employees and managers. In the survey conducted for this
purpose, construction firms were asked to select the resources they already had
from the resource pool of the research and to score only 9 important resources.
To establish vertical hierarchy and horizontal relationships, the obtained results
of the evaluation were analyzed by using the Analytical Network Process (ANP)
method. In the established hierarch, the objective was BIM and the selection
criteria were VRIO criteria including Valuable, Rare, Inimitable and
Organization, which are the resource selection criteria of the Resource-Based
Theory. The scores obtained as a result of the survey study applied to the
Turkish construction firms were reflected to the ANP technique. While the data
processed with the Super Decisions software provides numerical and quantitative
comparisons of resources in the construction sector, it also points to a
selected set of resources that can work with BIM.
ANP Building information Modelling Construction sector Resource based theory Resource selection
Primary Language | English |
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Journal Section | Research Articles |
Authors | |
Publication Date | April 15, 2019 |
Submission Date | September 11, 2018 |
Acceptance Date | October 25, 2018 |
Published in Issue | Year 2019 |