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Ahadzie, D K, Proverbs, D G, Olomolaiye, P O and Ankrah, N (2009) Towards developing competency-based measures for project managers in mass house building projects in developing countries. Construction Management and Economics, 27(01), 89–102.

Al-Kharashi, A and Skitmore, M (2009) Causes of delays in Saudi Arabian public sector construction projects. Construction Management and Economics, 27(01), 3–23.

Bageis, A S and Fortune, C (2009) Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors. Construction Management and Economics, 27(01), 53–71.

Burford, N K and Smith, F W (1999) Developing a new military shelter system: a case study in innovation. Building Research & Information, 27(01), 35–55.

Daget, Y T and Zhang, H (2019) Decision-making model for the evaluation of industrialized housing systems in Ethiopia. Engineering, Construction and Architectural Management, 27(01), 296–320.

Du, J, Jing, H, Castro-Lacouture, D and Sugumaran, V (2019) Multi-agent simulation for managing design changes in prefabricated construction projects. Engineering, Construction and Architectural Management, 27(01), 270–95.

Durdyev, S, Hosseini, M R, Martek, I, Ismail, S and Arashpour, M (2019) Barriers to the use of integrated project delivery (IPD): a quantified model for Malaysia. Engineering, Construction and Architectural Management, 27(01), 186–204.

Han, J, Rapoport, A and Fong, P S (2019) Incentive structures in multi-partner project teams. Engineering, Construction and Architectural Management, 27(01), 49–65.

Hossain, L (2009) Communications and coordination in construction projects. Construction Management and Economics, 27(01), 25–39.

Hwang, B, Zhao, X and Lim, J (2019) Job satisfaction of project managers in green construction projects. Engineering, Construction and Architectural Management, 27(01), 205–26.

Lam, P T I and Wong, F W H (2009) Improving building project performance: how buildability benchmarking can help. Construction Management and Economics, 27(01), 41–52.

Leaman, A and Bordass, B (1999) Productivity in buildings: the 'killer' variables. Building Research & Information, 27(01), 4–19.

Liao, X, Lee, C Y and Chong, H (2019) Contractual practices between the consultant and employer in Chinese BIM-enabled construction projects. Engineering, Construction and Architectural Management, 27(01), 227–44.

Liu, S, Jin, H, Liu, C, Xie, B and Mills, A (2019) Government compensation and costs of non-competition guarantee for PPP rental retirement villages. Engineering, Construction and Architectural Management, 27(01), 128–49.

Mahamadu, A, Manu, P, Mahdjoubi, L, Booth, C, Aigbavboa, C and Abanda, F (2019) The importance of BIM capability assessment. Engineering, Construction and Architectural Management, 27(01), 24–48.

  • Type: Journal Article
  • Keywords: BIM; Capability; Case study; Competence; Performance;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-09-2018-0357
  • Abstract:
    The emergence of building information modelling (BIM) has led to the need for pre-qualification and selection of organisations capable of working within a BIM environment. Several criteria have been proposed for the assessment of an organisation’s BIM capability during the pre-qualification and selection phase of projects. However, no studies have sought to empirically establish whether organisations selected on the basis of such criteria have actually been the most successful at delivering BIM on projects. The purpose of this paper is to address the aforementioned gap through a comparison of predicted BIM capability and post-selection performance. Design/methodology/approach BIM capability of firms in a case study was predicted using 28 BIM pre-qualification and selection criteria, prioritised based on their perceived contribution to BIM delivery success from a survey of practitioners on BIM-enabled projects. The comparison of predicted BIM capability and post-selection performance was, on the other hand, achieved through the application of the Technique to Order Preference by Similarity to Ideal Solution and fuzzy sets theory (Fuzzy-TOPSIS). Findings Findings underscore the reliability of the 28 BIM pre-qualification and selection criteria as well as the priority weightings proposed for their use in predicting BIM capability and likelihood of performance. The findings have highlighted the importance of criteria related as previous BIM use experience as well as information processing maturity as critical indicators of the capability of organisations, particularly design firms. Originality/value Overall, the findings highlight the need for prioritisation of BIM pre-qualification and selection criteria on the basis of their actual contribution to delivery success from post-selection evaluation of performance.

Moohialdin, A S M, Lamari, F, Miska, M and Trigunarsyah, B (2019) Construction worker productivity in hot and humid weather conditions. Engineering, Construction and Architectural Management, 27(01), 83–108.

Ozyurt, B, Dikmen, I and Birgonul, M T (2019) Clustering of host countries to facilitate learning between similar international construction markets. Engineering, Construction and Architectural Management, 27(01), 66–82.

Papamichael, K (1999) Application of information technologies in building design decisions. Building Research & Information, 27(01), 20–34.

Sang, L, Xia, D, Ni, G, Cui, Q, Wang, J and Wang, W (2019) Influence mechanism of job satisfaction and positive affect on knowledge sharing among project members. Engineering, Construction and Architectural Management, 27(01), 245–69.

Sarhan, J G, Xia, B, Fawzia, S, Karim, A, Olanipekun, A O and Coffey, V (2019) Framework for the implementation of lean construction strategies using the interpretive structural modelling (ISM) technique. Engineering, Construction and Architectural Management, 27(01), 1–23.

Sezer, A A and Bröchner, J (2019) Site managers’ ICT tools for monitoring resources in refurbishment. Engineering, Construction and Architectural Management, 27(01), 109–27.

Wang, D, Fu, H and Fang, S (2019) The efficacy of trust for the governance of uncertainty and opportunism in megaprojects. Engineering, Construction and Architectural Management, 27(01), 150–67.

Wang, Y, Liu, J, Zuo, J and Rameezdeen, R (2019) Ways to improve the project management efficiency in a centralized public procurement system. Engineering, Construction and Architectural Management, 27(01), 168–85.

Yun, S and Caldas, C H (2009) Analysing decision variables that influence preliminary feasibility studies using data mining techniques. Construction Management and Economics, 27(01), 73–87.