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Impact of management practices on construction productivity in Indian building construction projects: an empirical study

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  • Dixit Saurav

    (RICS School of Built Environment, Amity University, Noida, Uttar Pradesh, India.)

Abstract
The objective of this study is to analyse the impact of management practices on the productivity of building construction projects in India. The methodology adopted for this study is to identify and analyse the management practice attributes from the literature review and expert focus group interviews. The identified attributes were analysed and priorities using relative weight were given by the respondents. The collected data were further analysed using SPSS 21 software. The quantitative research methodology was adopted to analyse the collected data and the following tools and techniques were applied to the data: reliability analysis to check the consistency of data collected for this study and relative importance index (RII) to prioritise and rank the attributes based on the weighted average score given by the respondents. The findings of this study concluded that coordination between all stakeholders, ability to handle the crisis by the project managers, social skills of key team managers, timely payment of completed works and design capability and frequent design changes are the most significant attributes of management practice, affecting construction productivity and having a rating on the RII of 0.91, 0.90, 0.88, 0.87 and 0.87.

Suggested Citation

  • Dixit Saurav, 2021. "Impact of management practices on construction productivity in Indian building construction projects: an empirical study," Organization, Technology and Management in Construction, Sciendo, vol. 13(1), pages 2383-2390, January.
    • Handle: RePEc:vrs:otamic:v:13:y:2021:i:1:p:2383-2390:n:2
    DOI: 10.2478/otmcj-2021-0007
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    References listed on IDEAS

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    4. Le Ma & Chunlu Liu, 2014. "Did the late-2000s financial crisis influence construction labour productivity?," Construction Management and Economics, Taylor & Francis Journals, vol. 32(10), pages 1030-1047, October.
    5. Seung Ok & Sunil Sinha, 2006. "Construction equipment productivity estimation using artificial neural network model," Construction Management and Economics, Taylor & Francis Journals, vol. 24(10), pages 1029-1044.
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