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Anvuur, A M and Kumaraswamy, M M (2012) Measurement and Antecedents of Cooperation in Construction. Journal of Construction Engineering and Management, 138(07), 797–810.

Elbeltagi, E E, Hosny, O A, Elhakeem, A, Abdelrazek, M E and El-Abbasy, M S (2012) Fuzzy Logic Model for Selection of Vertical Formwork Systems. Journal of Construction Engineering and Management, 138(07), 832–40.

Gharaibeh, N G, Liu, L and Wani, S S (2012) Skip-Lot Acceptance Sampling Plans for Highway Construction and Materials. Journal of Construction Engineering and Management, 138(07), 791–6.

Hon, C K H, Chan, A P C and Yam, M C H (2012) Empirical Study to Investigate the Difficulties of Implementing Safety Practices in the Repair and Maintenance Sector in Hong Kong. Journal of Construction Engineering and Management, 138(07), 877–84.

Jarkas, A M and Bitar, C G (2012) Factors Affecting Construction Labor Productivity in Kuwait. Journal of Construction Engineering and Management, 138(07), 811–20.

  • Type: Journal Article
  • Keywords: Labor; Productivity; Kuwait; Constructability; Construction industry; Labor productivity; Efficiency; Operatives; Contractors; Kuwait; Constructability; Relative importance index;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000501
  • Abstract:
    Construction labor productivity has become such a buzz word and one of the most frequently researched topics. In most countries, labor cost comprises 30 to 50% of the overall project’s cost, and thus is regarded as a true reflection of the economic success of the operation. There are many challenges facing the construction industry in the state of Kuwait but one of the most important is low productivity. The objective of this research, therefore, is to identify and rank the relative importance of factors perceived to affect labor productivity on construction sites in Kuwait. To achieve this objective, a statistically representative sample of contractors was invited to participate in a structured questionnaire survey, comprising 45 productivity factors, classified under the following four primary groups: (1) management; (2) technological; (3) human/labor; and (4) external. Among the factors explored, the subsequent 10 are discerned to be the most significant in their effects on labor productivity: (1) clarity of technical specifications; (2) the extent of variation/change orders during execution; (3) coordination level among design disciplines; (4) lack of labor supervision; (5) proportion of work subcontracted; (6) design complexity level; (7) lack of incentive scheme; (8) lack of construction manager’s leadership; (9) stringent inspection by the engineer; and (10) delay in responding to requests for information. The results obtained fill a gap in knowledge of factors affecting labor productivity in Kuwait, which can be used by industry practitioners to develop a wider and deeper perspective of the factors influencing the efficiency of operatives and provide guidance to construction managers for efficient utilization of the labor force, hence assist in achieving a reasonable level of competitiveness and cost-effective operation.

Koulinas, G K and Anagnostopoulos, K P (2012) Construction Resource Allocation and Leveling Using a Threshold Accepting–Based Hyperheuristic Algorithm. Journal of Construction Engineering and Management, 138(07), 854–63.

Laan, A, Voordijk, H, Noorderhaven, N and Dewulf, G (2012) Levels of Interorganizational Trust in Construction Projects: Empirical Evidence. Journal of Construction Engineering and Management, 138(07), 821–31.

Lee, C, Hong, T, Lee, G and Jeong, J (2012) . Journal of Construction Engineering and Management, 138(07), 897–904.

Moon, S, Ha, C and Yang, J (2012) Structured Idea Creation for Improving the Value of Construction Design. Journal of Construction Engineering and Management, 138(07), 841–53.

Park, M, Yang, Y, Lee, H, Han, S and Ji, S (2012) Floor-Level Construction Material Layout Planning Model Considering Actual Travel Path. Journal of Construction Engineering and Management, 138(07), 905–15.

Suk, S, Hwang, B, Dai, J, Caldas, C H and Mulva, S P (2012) Performance Dashboard for a Pharmaceutical Project Benchmarking Program. Journal of Construction Engineering and Management, 138(07), 864–76.

Too, E G (2012) Capability Model to Improve Infrastructure Asset Performance. Journal of Construction Engineering and Management, 138(07), 885–96.