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Abdollahipour, S, Jeong, D H S, Burman, R R and Gunsaulis, F (2012) Performance Assessment of On-Grade Horizontal Directional Drilling. Journal of Construction Engineering and Management, 138(03), 458–68.

Anastasopoulos, P C, Labi, S, Bhargava, A and Mannering, F L (2012) Empirical Assessment of the Likelihood and Duration of Highway Project Time Delays. Journal of Construction Engineering and Management, 138(03), 390–8.

Becerik-Gerber, B, Jazizadeh, F, Li, N and Calis, G (2012) Application Areas and Data Requirements for BIM-Enabled Facilities Management. Journal of Construction Engineering and Management, 138(03), 431–42.

Chi, S and Caldas, C H (2012) Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities. Journal of Construction Engineering and Management, 138(03), 341–51.

Choi, K, Kwak, Y H, Pyeon, J and Son, K (2012) Schedule Effectiveness of Alternative Contracting Strategies for Transportation Infrastructure Improvement Projects. Journal of Construction Engineering and Management, 138(03), 323–30.

Hanna, A S (2012) Using the Earned Value Management System to Improve Electrical Project Control. Journal of Construction Engineering and Management, 138(03), 449–57.

Jain, K K and Bhattacharjee, B (2012) Application of Fuzzy Concepts to the Visual Assessment of Deteriorating Reinforced Concrete Structures. Journal of Construction Engineering and Management, 138(03), 399–408.

Kim, B, Lim, H, Kim, H and Hong, T (2012) Determining the Value of Governmental Subsidies for the Installation of Clean Energy Systems Using Real Options. Journal of Construction Engineering and Management, 138(03), 422–30.

Lee, D, Lim, T and Arditi, D (2012) Stochastic Project Financing Analysis System for Construction. Journal of Construction Engineering and Management, 138(03), 376–89.

Lim, B T H, Ling, F Y Y, Ibbs, C W, Raphael, B and Ofori, G (2012) Mathematical Models for Predicting Organizational Flexibility of Construction Firms in Singapore. Journal of Construction Engineering and Management, 138(03), 361–75.

Love, P E D, Edwards, D J, Irani, Z and Sharif, A (2012) Participatory Action Research Approach to Public Sector Procurement Selection. Journal of Construction Engineering and Management, 138(03), 311–22.

Subramanyan, H, Sawant, P H and Bhatt, V (2012) Construction Project Risk Assessment: Development of Model Based on Investigation of Opinion of Construction Project Experts from India. Journal of Construction Engineering and Management, 138(03), 409–21.

  • Type: Journal Article
  • Keywords: Contract management; India; Construction industry; Risk management; Analytical hierarchy process; Contract administration; Project risk management; Student ; -test;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000435
  • Abstract:
    Risk is involved in every business, and the construction industry is no exception. Most of the project management issues that impact a project arise from associated uncertainties. The Indian construction industry is worth about $120 billion and this could grow considerably, driven by major projects across the country. There are a number of problems in the construction industry in India that are attributed to various factors. The focus of the present research is to identify factors that influence the smooth completion of a project and develop a risk assessment model. The authors of the paper have made an attempt to analyze the present risk condition in the construction industry by meeting experts in the field to collect first-hand information as a first step towards risk assessment and suggest a risk response strategy. A total of 93 risk factors were identified and listed under various subgroups in this paper. A questionnaire was prepared on the basis of a literature review and was filled by six contractors, four owners, five project management experts, having more than 20 years of experience in the construction field in India. As the factors are represented in qualitative terms, fuzzy analytical hierarchy process (AHP) is used. The result of the study is listed, in which the percentage contribution of various factors to smooth completion is shown. Because the findings are based on a small cross section of experts, Student’s t-test, a significance test, has been applied to know the significance of test findings on the general construction industry. The study results are reduced further into two groups for simplification and better understanding. The first group covers owner-, contractor-, project manager-, finance-, and resource-specific risks; and the second group covers risk pertaining to project-, architect/consultant-, external environment-, and contract-clause-specific factors. The analysis results indicate that the risks specific to the first group are found to be 10.5 to 12.0% with a standard deviation less than 1.66, whereas the percent apportionment of second group ranges from 9.5 to 13%, a larger range than the first group of factors with standard deviation up to as high as 3.3, indicating wider variation, thus making it difficult to predict their occurrence in a project. The findings are also confirmed by the project disputes related to various projects discussed in the paper. The risk response strategy suggested in this paper will be useful in mitigating the adverse effects of risk in project completion in the Indian construction industry. A planned approach in handling a project-specific and external-environment-specific risk coupled with a proper contract administration can mitigate overall risk to a greater extent in the Indian construction industry.

Tan, Y, Shen, L and Langston, C (2012) Competition Environment, Strategy, and Performance in the Hong Kong Construction Industry. Journal of Construction Engineering and Management, 138(03), 352–60.

Townsend, K, Lingard, H, Bradley, L and Brown, K (2012) Complicated Working Time Arrangements: Construction Industry Case Study. Journal of Construction Engineering and Management, 138(03), 443–8.

Yiu, T W, Cheung, S O and Siu, L Y (2012) Application of Bandura’s Self-Efficacy Theory to Examining the Choice of Tactics in Construction Dispute Negotiation. Journal of Construction Engineering and Management, 138(03), 331–40.