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Prioritizing Critical Management Strategies to Improving Construction Productivity: Empirical Research in Singapore

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Listed:
  • Bon-Gang Hwang

    (Department of Building, National University of Singapore, 4 Architecture Drive, Singapore 117566, Singapore)

  • Yu-Shan Li

    (School of Civil Engineering, Central South University, Changsha 410004, China)

  • Ming Shan

    (School of Civil Engineering, Central South University, Changsha 410004, China)

  • Jia-En Chua

    (Department of Building, National University of Singapore, 4 Architecture Drive, Singapore 117566, Singapore)

Abstract

Although various types of management strategies have been proposed to improve construction productivity, they are seldom prioritized based on contribution. This study aims to bridge the knowledge gap to prioritize the critical management strategies that can help improve productivity in the construction industry. To achieve this goal, a comprehensive literature review was conducted first, to develop a conceptual framework of construction management strategies that are assumed to have positive relationships with productivity performance. A questionnaire was then developed and disseminated to 53 Singapore-based companies for data collection. The collected data were analyzed using partial least squares structural equation modelling. Results showed that “planning and communication” is the most critical management strategy category for productivity improvement, followed by “logistics,” “project strategic management”, “human resources”, and “on-site management.” This study contributes to the current body of knowledge by prioritizing critical management strategies that can help the construction industry improve productivity. Findings are likewise beneficial for the industry practitioners as well, as they can help deepen their understanding of the role played by these management strategies on increasing productivity and thereby formulate the best combinations for their own companies.

Suggested Citation

  • Bon-Gang Hwang & Yu-Shan Li & Ming Shan & Jia-En Chua, 2020. "Prioritizing Critical Management Strategies to Improving Construction Productivity: Empirical Research in Singapore," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9349-:d:443038
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    References listed on IDEAS

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    1. Adam Young & Joann Wilkie & Robert Ewing & Jyoti Rahman, 2008. "International comparison of industry productivity," Economic Roundup, The Treasury, Australian Government, issue 3, pages 45-61, October.
    2. Shamil George Naoum, 2016. "Factors influencing labor productivity on construction sites," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(3), pages 401-421, March.
    3. Panagiotis Marhavilas & Dimitrios Koulouriotis & Ioannis Nikolaou & Sotiria Tsotoulidou, 2018. "International Occupational Health and Safety Management-Systems Standards as a Frame for the Sustainability: Mapping the Territory," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    4. Parviz Ghoddousi & Omid Poorafshar & Nicholas Chileshe & M. Reza Hosseini, 2015. "Labour productivity in Iranian construction projects," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 64(6), pages 811-830, July.
    5. Xianbo Zhao & Bon-Gang Hwang & Sui Pheng Low, 2013. "Critical success factors for enterprise risk management in Chinese construction companies," Construction Management and Economics, Taylor & Francis Journals, vol. 31(12), pages 1199-1214, December.
    6. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
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    Cited by:

    1. Ming Shan & Yu-Shan Li & Bon-Gang Hwang & Jia-En Chua, 2021. "Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore," Sustainability, MDPI, vol. 13(21), pages 1-19, November.

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