Risk management in Egyptian construction: Comparative analysis of general and banking sectors using advanced quantitative methods

被引:0
作者
Abdelhafiez, Ehab A. [1 ]
Awade, Fatma Abady [1 ]
机构
[1] Cairo Univ, Fac Engn, Mech Design & Prod Dept, Cairo, Egypt
关键词
Risk management; Risk in Construction Projects; Banking Construction Projects; Construction Projects in Egypt; Design Structure Matrix (DSM); TOPSIS; DECISION-MAKING; FUZZY; PROJECTS; DELAY; PERFORMANCE;
D O I
10.5267/j.jpm.2024.7.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To effectively manage the challenges associated with meeting schedules, costs, and quality requirements in construction projects, it is crucial to address potential risk factors. Despite extensive research on risk management in construction, a significant gap persists concerning the uniformity of risk factors and their effects across various construction project types, geographical locations, and cultural contexts. This research presents a structured three-step approach to risk management, covering risk identification, analysis, and response. The methodology is applied to both the General Construction (GC) and Banking Construction (BC) sectors in Egypt, involving industry professionals through surveys. Quantitative analysis using the Relative Importance Index (RII) and Fuzzy-set theory gauges the influence of each risk factor, while Spearman Ranked Correlation tests differentiate risk profiles between sectors. A comparative analysis highlights Egypt-specific risk factors versus regional or global factors. Key risk factors with high centrality scores are identified, and optimal risk reduction strategies are selected using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The study reveals significant sector-specific risk differences and highlights the need for tailored risk management strategies. Key contributions include identifying vital risk factors, comparing them globally and regionally, and proposing effective mitigation strategies to enhance project timelines, costs, and quality. (c) 2024 Growing Science Ltd. All rights reserved.
引用
收藏
页码:471 / 484
页数:14
相关论文
共 43 条
  • [1] Abd El-Karim Mohamed Sayed Bassiony Ahmed, 2017, HBRC Journal, V13, P202, DOI 10.1016/j.hbrcj.2015.05.001
  • [2] Abd El-Razek M. E., 2008, J CONSTR ENG M ASCE, DOI [10.1061/ASCE0733-93642008134:11831, DOI 10.1061/ASCE0733-93642008134:11831]
  • [3] Fuzzy Reliability Analyzer: Quantitative Assessment of Risk Events in the Construction Industry Using Fuzzy Fault-Tree Analysis
    Abdelgawad, Mohamed
    Fayek, Aminah Robinson
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2011, 137 (04) : 294 - 302
  • [4] Abdul Kadir M., 2005, STRUCTURAL SURVEY, V23, P42, DOI DOI 10.1108/02630800510586907
  • [5] Al-Khalil M. I., 1999, DELAY PUBLIC UTILITY
  • [6] BABAKUS E, 1992, HEALTH SERV RES, V26, P767
  • [7] Chan D.W., 1997, International Journal of project management, V15
  • [8] Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers
    Chen, Shi-Jay
    Chen, Shyi-Ming
    [J]. APPLIED INTELLIGENCE, 2007, 26 (01) : 1 - 11
  • [9] Use of evidential reasoning and AHP to assess regional industrial safety
    Chen, Zhichao
    Chen, Tao
    Qu, Zhuohua
    Yang, Zaili
    Ji, Xuewei
    Zhou, Yi
    Zhang, Hui
    [J]. PLOS ONE, 2018, 13 (05):
  • [10] Participatory risk network analysis: A tool for disaster reduction practitioners
    Clark-Ginsberg, Aaron
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2017, 21 : 430 - 437