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Impacts of Construction Risk Attributes on Organizational Performance of Registered Construction Companies in Khyber Pakhtunkhwa, Pakistan

Muhammad Kashif Khan1*, Muhammad Wasim Jan Khan2, Kaleem Ullah Jan Khan3, Muhammad Ishaq Khan4, Muhammad Faheem Jan Khan5 and Abdul Salam Lodhi6

 

1CECOS University of IT and Emerging Sciences Peshawar, Khyber Pakhtunkhwa, Pakistan; 2Department of Management Sciences, University College of Zhob, BUITEMS, (BUITEMS Sub-Campus Zhob) Balochistan; 3Jilin University China; 4Iqra University Peshawar, Khyber Pakhtunkhwa, Pakistan;  5Balochistan University of IT, Engineering and Management Sciences, Balochistan Pakistan; 6University College of Zhob, BUITEMS, (BUITEMS Sub-Campus Zhob) Balochistan

 
*Correspondence: Muhammad Kashif Khan, CECOS University Peshawar, Khyber Pakhtunkhwa, Pakistan; Email: engr.kashif.khan@outlook.com 

ABSTRACT

Billion dollars construction industry almost everywhere in the world is struggling with issues regarding well-organized risk management. Due to the fact that having complex nature and involvement of numerous parties, the chances of being more prone to the unseen risk factors causing extensive delays, over budgeting, and underrated quality are quite recurring. A broad extent of literature is available on risk identification, analysis, and mitigation through various methods and techniques. The purpose of this study is to address the need of risk management practices in the construction industry of Khyber Pakhtunkhwa (KPK), Pakistan. The research work carried out with the involvement of 150 Pakistan Engineering Council (PEC) registered construction companies not only emphasizes on the crucial risk factors associated with construction projects but also insights into the impacts of the risk factors on the organizational performances. The relationships between risk factors in the fields of Site Conditions, Resources, Project Parties, and Project Features and organizational performances including Profitability and Cost Risk Impact are developed through regression analysis using SPSS software. It is hoped that this research work will inform all concerned about risk management practices, possible risk factors, and their consequences upon organizational performances.

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Journal of Engineering and Applied Sciences

December

Vol. 41, Iss. 1, pp. 01-63

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