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Ali, A K (2019) A case study in developing an interdisciplinary learning experiment between architecture, building construction, and construction engineering and management education. Engineering, Construction and Architectural Management, 26(09), 2040–59.

Chan, D W, Olawumi, T O and Ho, A M (2019) Critical success factors for building information modelling (BIM) implementation in Hong Kong. Engineering, Construction and Architectural Management, 26(09), 1838–54.

Chen, Y, Yin, Y, Browne, G J and Li, D (2019) Adoption of building information modeling in Chinese construction industry. Engineering, Construction and Architectural Management, 26(09), 1878–98.

Gao, J, Ren, H and Cai, W (2019) Risk assessment of construction projects in China under traditional and industrial production modes. Engineering, Construction and Architectural Management, 26(09), 2147–68.

Iskandar, K A, Hanna, A S and Lotfallah, W (2019) Modeling the performance of healthcare construction projects. Engineering, Construction and Architectural Management, 26(09), 2023–39.

• Type: Journal Article
• Keywords: Construction; Project management; Productivity; Decision support systems;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-08-2018-0323
• Abstract:
  Healthcare-sector projects are some of the most complex in modern practice due to their reliance on high-tech components and the level of precision they must maintain. Existing literature in healthcare performance specifically is scarce, but there is a recent increasing trend in both healthcare construction and a corresponding trend in related literature. No previously existing study has derived weights (relative importance) of performance metric in an objective, data-based manner. The purpose of this paper is to present a newly developed mathematical model that derives these weights, free of subjectivity that is common in other literature. This paper’s model considers 17 exceptional projects and 19 average projects, and reveals the weights (or relative importance) of ten performance metrics by comparing how projects relate to one another in terms of each metric individually. It solves an eigenvalue problem that maximizes the difference between average and exceptional project performances. The most significant weight, i.e. the performance metric which has the greatest impact on healthcare project performance, was request for information per million dollars with a weight of 16.07 percent. Other highly weighted metrics included construction speed and schedule growth at 13.08 and 12.23 percent, respectively. Rework was the least significant metric at 3.61 percent, but not all metrics of quality had low ratings. Deficiency issues per million dollars was weighted at 11.61 percent, for example. All weights derived by the model in this paper were validated statistically to ensure their applicability as comparison and assessment tools. There is no widely accepted measure of project performance specific to healthcare construction. This study’s contribution to the body of knowledge is its mathematical model which is a landmark effort to develop a single, objective, unified project performance index for healthcare construction. Furthermore, this unified score presents a user-friendly avenue for contractors to standardize their productivity tracking – a missing piece in the practices of many contractors.

Jin, R, Zou, P X, Li, B, Piroozfar, P and Painting, N (2019) Comparisons of students’ perceptions on BIM practice among Australia, China and UK. Engineering, Construction and Architectural Management, 26(09), 1899–923.

Laryea, S (2019) Procurement strategy and outcomes of a new universities project in South Africa. Engineering, Construction and Architectural Management, 26(09), 2060–83.

Lavikka, R H, Kyrö, R, Peltokorpi, A and Särkilahti, A (2019) Revealing change dynamics in hospital construction projects. Engineering, Construction and Architectural Management, 26(09), 1946–61.

Lee, C (2019) Financing method for real estate and infrastructure development using Markowitz’s portfolio selection model and the Monte Carlo simulation. Engineering, Construction and Architectural Management, 26(09), 2008–22.

Manu, P, Mahamadu, A, Booth, C, Olomolaiye, P O, Coker, A, Ibrahim, A and Lamond, J (2019) Infrastructure procurement capacity gaps in Nigeria public sector institutions. Engineering, Construction and Architectural Management, 26(09), 1962–85.

Marefat, A, Toosi, H and Mahmoudi Hasankhanlo, R (2019) A BIM approach for construction safety: applications, barriers and solutions. Engineering, Construction and Architectural Management, 26(09), 1855–77.

Nadafi, S, Moosavirad, S H and Ariafar, S (2019) Predicting the project time and costs using EVM based on gray numbers. Engineering, Construction and Architectural Management, 26(09), 2107–19.

Pantzartzis, E, Price, A and Edum Fotwe, F (2019) Roadmap layers and processes: resilient and sustainable care facilities. Engineering, Construction and Architectural Management, 26(09), 1986–2007.

Panwar, A, Tripathi, K K and Jha, K N (2019) A qualitative framework for selection of optimization algorithm for multi-objective trade-off problem in construction projects. Engineering, Construction and Architectural Management, 26(09), 1924–45.

Roberts, C, Edwards, D J, Hosseini, M R, Mateo-Garcia, M and Owusu-Manu, D (2019) Post-occupancy evaluation: a review of literature. Engineering, Construction and Architectural Management, 26(09), 2084–106.

Wu, C, Chen, C, Jiang, R, Wu, P, Xu, B and Wang, J (2019) Understanding laborers’ behavioral diversities in multinational construction projects using integrated simulation approach. Engineering, Construction and Architectural Management, 26(09), 2120–46.