Technical Papers
Aug 6, 2019

Novel Capability-Based Risk Assessment Calculator for Construction Contractors Venturing Overseas

Publication: Journal of Construction Engineering and Management
Volume 145, Issue 10

Abstract

Globalization creates opportunities for contractors to enter lucrative international markets yet international projects are exposed to more diverse and complex risks than domestic projects. Owing to vast uncertainties and complexities, international construction entry decisions are intricate. Although conventional Probability-Impact (P-I) risk models are useful, the firm’s capabilities are missing in early assessments for project selection decision. Hence, this study aims to develop a capability-based risk assessment (CapRA) calculator for international contractors venturing overseas. The international construction firm’s capabilities are explored using resource-based views, dynamic capabilities, and Porter’s generic value chain theories to conceptualize an integrated framework for risk assessment. Additionally, a questionnaire was sent to international construction firms operating outside their home countries to appraise their firm’s capabilities and international construction project risk significance values. Then, a partial least squares approach was used to analyze the data. The findings are used to develop a novel CapRA model, which is then formulated into modified P-I risk model equations and computerized into a CapRA calculator to simplify the application. In essence, this study contributes to both knowledge and practice by developing and testing a model to improve the accuracy and facilitate project selection decisions for international construction firms.

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Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.

Acknowledgments

The authors would like to gratefully acknowledge University of Malaya, Malaysia (BK002-2017) for providing the financial support for this research. Special gratitude is also extended to the anonymous reviewers for their constructive comments, which have helped improve the quality of this manuscript.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 145Issue 10October 2019

History

Received: Jul 12, 2018
Accepted: Feb 15, 2019
Published online: Aug 6, 2019
Published in print: Oct 1, 2019
Discussion open until: Jan 6, 2020

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Professor and Director of Intelligence and Automation in Construction Fujian Province Higher-Educational Engineering Research Centre, College of Civil Engineering, Huaqiao Univ., Xiamen 361021, China. ORCID: https://orcid.org/0000-0001-7892-3575. Email: [email protected]
Senior Lecturer, Centre of Building, Construction, and Tropical Architecture, Faculty of Built Environment, Univ. of Malaya, Kuala Lumpur 50603, Malaysia. ORCID: https://orcid.org/0000-0003-2528-1817. Email: [email protected]
Jeffrey Boon Hui Yap, Ph.D. [email protected]
P.Eng.
Assistant Professor, Dept. of Surveying, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Selangor 43000, Malaysia (corresponding author). Email: [email protected]
Hamzah Abdul-Rahman, Ph.D. [email protected]
Professor, Faculty of Science, Vision College, Petaling Jaya, Selangor 47301, Malaysia. Email: [email protected]

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