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Gledson, B J (2016) Hybrid project delivery processes observed in constructor BIM innovation adoption. Construction Innovation, 16(02), 229-46.

Maghrebi, M, Shamsoddini, A and Waller, S T (2016) Fusion-based learning approach for predicting concrete pouring productivity based on construction and supply parameters. Construction Innovation, 16(02), 185-202.

Shokri-Ghasabeh, M and Chileshe, N (2016) Critical factors influencing the bid/no bid decision in the Australian construction industry. Construction Innovation, 16(02), 127-57.

Tsehayae, A A and Fayek, A R (2016) System model for analysing construction labour productivity. Construction Innovation, 16(02), 203-28.

  • Type: Journal Article
  • Keywords: construction,fuzzy logic,neural networks,labour productivity,regression analysis,system analysis
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/CI-07-2015-0040
  • Abstract:
    Purpose Despite long-term, sustained research and industry practice, predicting construction labour productivity (CLP) using existing factor and activity modelling approaches remains a challenge. The purpose of this paper is to first demonstrate the limited usefulness of activity models and then to propose a system model approach that integrates factor and activity models for better prediction of CLP. Design/methodology/approach The system model parameters - comprising factors and practices - and work sampling proportions (WSPs) were identified from literature. Field data were collected from 11 projects over a span of 29 months. Activity models based on the relationship between CLP and WSPs were created, and their validity was tested using regression analysis for eight activities in the concreting, electrical and shutdown categories. The proposed system model was developed for concreting activity using the key influencing parameters in conjunction with WSPs. Findings The results of the regression analysis indicate that WSPs, like direct work, are not significantly correlated to CLP and fail to explain its variance. Evaluation of the system model approach for the concreting activity showed improved CLP prediction as compared to existing approaches. Research limitations/implications The system model was tested for concreting activity using data collected from six projects; however, further investigation into the model’s accuracy and efficacy using data collected from other labour-intensive activities is suggested. Originality/value This research establishes the role of WSPs in CLP modelling, and develops a system modelling approach to assist researchers and practitioners in the analysis of productivity-influencing parameters together with WSPs.

Walker, D H T (2016) Reflecting on 10 years of focus on innovation, organisational learning and knowledge management literature in a construction project management context. Construction Innovation, 16(02), 114-26.

Walker, D H T and Rahmani, F (2016) Delivering a water treatment plant project using a collaborative project procurement approach. Construction Innovation, 16(02), 158-84.