Modeling Profitability-Influencing Risk Factors for Construction Projects: A System Dynamics Approach

被引:19
|
作者
Jahan, Shah [1 ]
Khan, Khurram Iqbal Ahmad [1 ]
Thaheem, Muhammad Jamaluddin [2 ]
Ullah, Fahim [3 ]
Alqurashi, Muwaffaq [4 ]
Alsulami, Badr T. [5 ]
机构
[1] Natl Univ Sci & Technol NUST, Dept Construct Engn & Management, Islamabad 44000, Pakistan
[2] Deakin Univ, Sch Architecture & Built Environm, Geelong Waterfront Campus, Geelong, Vic 3220, Australia
[3] Univ Southern Queensland, Sch Surveying & Built Environm, Springfield, Qld 4300, Australia
[4] Taif Univ, Coll Engn, Dept Civil Engn, POB 11099, Taif 21944, Saudi Arabia
[5] Umm Al Qura Univ, Coll Engn & Islamic Architecture, Dept Civil Engn, Mecca 24382, Saudi Arabia
关键词
causal loop diagram; profitability-influencing risk factors; profitability-influencing risk categories; system dynamics; systems thinking; FUZZY-LOGIC; MANAGEMENT; UNCERTAINTY; COMPLEXITY; PROFIT;
D O I
10.3390/buildings12060701
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study addressed the complexity involved in integrating the causative risk factors influencing construction profitability. Most of the existing studies cover the individual effects of profitability influencing factors. Very few focus on the systematic impact without incorporating the complexity and associated dynamics, presenting a gap targeted by the current study. The current study aimed to assess causative interrelations and interdependencies between profitability influencing risk factors (PIRF), through systems thinking (ST) and system dynamics (SD) modeling. The SD approach was used to evaluate the integrated impacts on profitability-influencing risk categories (PIRC) in construction projects. The causative influencing factors affecting construction profitability were identified through a comprehensive literature review. These were ranked using content analysis, and categorized into significant issues. Through 250 structured surveys and 15 expert opinion meetings, the path for quantitative and qualitative evaluations was prepared. Following these investigations, a causal loop diagram (CLD) was established using the ST technique, and the integrated effect was quantified using SD modeling. The study finds the rising cost of material, supply chain process, payment issues, planning and scheduling problems, financial difficulties, and effective control of manpower and equipment resources as the most critical PIRFs. The integrated effects of PIRFs on PIRC were quantified using SD modeling. This study helps field professionals with profitability-influencing factors, diagnosing issues, and integrating impacts regarding decision-making and policy formulation. For researchers, it presents a list of factors that can be investigated in detail, and the holistic interrelationships established.
引用
收藏
页数:22
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