<p>In the
field of the construction industry, the research work has been widely focused
on identifying key performance indicators and critical success factors without
assessing the impact of conflict environment factors. This study focusses on
the impact of post-conflict environment factors on local construction
organization performance. This research presents a performance prediction model
comprising the effect of post-conflict environment factors on construction
organization performance. The proposed framework of this study has four stages:
identify key performance indicators (KPIs), identify post-conflict environment
impacting factors, determine critical success factors (CSFs), and formulate
success strategy to improve performance. Analytical hierarchy process (AHP) and
multiple linear regression (MLR) techniques are
applied to analyze the data.</p>
<p>The
study finding indicates that there is a significant relationship between the
post-conflict condition impacting factors and local construction organization
performance, which is insufficiently studied
in previous research work. Thus, the
developed framework will benefit academic scholars and industry practitioners
to analyze and evaluate challenges and opportunities caused by different
external environment conditions in the post-conflict construction industry. </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8018789 |
| Date | 15 May 2019 |
| Creators | Qais Amarkhil (6616994) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/A_FRAMEWORK_TO_ASSESS_POST-CONFLICT_ENVIRONMENT_IMPACT_ON_CONSTRUCTION_ORGANIZATION_PERFORMANCE/8018789 |
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