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Amadi, C, Carrillo, P and Tuuli, M (2019) PPP projects: improvements in stakeholder management. Engineering, Construction and Architectural Management, 27(02), 544–60.

Huo, X, Yu, A T W, Zezhou, W and Jayantha, W M (2019) Site planning and design of green residential building projects: case studies in China. Engineering, Construction and Architectural Management, 27(02), 525–43.

Hyung, W, Kim, S and Jo, J (2019) Improved similarity measure in case-based reasoning: a case study of construction cost estimation. Engineering, Construction and Architectural Management, 27(02), 561–78.

Johari, S and Jha, K N (2019) Challenges of attracting construction workers to skill development and training programmes. Engineering, Construction and Architectural Management, 27(02), 321–40.

Li, X, Wang, X and Lei, L (2019) The application of an ANP-Fuzzy comprehensive evaluation model to assess lean construction management performance. Engineering, Construction and Architectural Management, 27(02), 356–84.

Mellado, F, Lou, E C and Becerra, C L C (2019) Synthesising performance in the construction industry. Engineering, Construction and Architectural Management, 27(02), 579–608.

  • Type: Journal Article
  • Keywords: Management; Construction; Project management; Integrated practice;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-09-2018-0419
  • Abstract:
    There is a long-standing interest in performance improvement within the construction industry. Approaches based upon cost, time and quality (often called the Iron Triangle), have been the focus of attention despite criticism of the validity of the Iron Triangle as a performance measure due to its simplistic approach. Furthermore, little emphasis has been placed on synthesising performance to understand whether this concept has evolved from the traditional view. An analysis of prominent literature was reviewed by classifying performance indicators which establish criteria for measuring performance in the construction industry. The purpose of this paper is to review the literature (1998–2018) on performance at a project level to determine a final rank of key performance indicators (KPIs) which will establish how projects are currently being measured. Design/methodology/approach This paper uses a combined qualitative and quantitative approach – a comprehensive literature review on overall performance at a project level and the statistical Kendall’s W test to find concordance among the authors on performance in the construction industry to determine a final rank of KPIs. Findings The results demonstrate there is no congruent correlation on what performance is and the traditional iron triangle of “cost-time-quality” is still the preferred method of analysing performance, despite it being proven to be ineffective. Originality/value Performance in the construction industry is an ambiguous concept that can be interpreted differently by the construction industry’s stakeholders. Despite this lack of concordance, a starting point on the definition of performance can be obtained from the literature. The paper presents a final rank of KPIs.

Nwaogu, J M, Chan, A P, Hon, C K and Darko, A (2019) Review of global mental health research in the construction industry. Engineering, Construction and Architectural Management, 27(02), 385–410.

Salvado, F, Almeida, N and Vale e Azevedo, A (2019) Aligning financial and functional equivalent depreciations rates of building assets. Engineering, Construction and Architectural Management, 27(02), 441–57.

Wang, X, Shi, L, Wang, B and Kan, M (2019) A method to evaluate credit risk for banks under PPP project finance. Engineering, Construction and Architectural Management, 27(02), 483–501.

Yevu, S K and Yu, A T W (2019) The ecosystem of drivers for electronic procurement adoption for construction project procurement. Engineering, Construction and Architectural Management, 27(02), 411–40.

Zarghami, S A and Gunawan, I (2019) A domain-specific measure of centrality for water distribution networks. Engineering, Construction and Architectural Management, 27(02), 341–55.

Zhou, S, Ng, S T, Lee, S H, Xu, F J and Yang, Y (2019) A domain knowledge incorporated text mining approach for capturing user needs on BIM applications. Engineering, Construction and Architectural Management, 27(02), 458–82.

Zohrehvandi, S, Vanhoucke, M, Soltani, R and Javadi, M (2019) A reconfigurable model for implementation in the closing phase of a wind turbines project construction. Engineering, Construction and Architectural Management, 27(02), 502–24.