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Paper ID:IJSREM62657

A study on labour productivity in Indian building construction project

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62657

Volume:

10 |

5 |

May 2026

Pages:

1-19

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62657

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Raj  Thakkar

Raj Thakkar

Civil engineering

Birla vishvakarma mahavidhyalaya

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DRLP

Dr. Reshma L. Patel

Civil engineering

Birla vishvakarma mahavidhyalaya

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DJP

Dr. J.R. Pitroda

Civil engineering

Birla vishvakarma mahavidhyalaya

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Sm

Shaan mahendru

Civil engineer

City light

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Abstract

- Labour productivity is one of the most critical factors influencing the performance of construction projects, as it directly affects project cost, duration, and quality. This study aims to identify, evaluate, and rank the factors affecting labour productivity in building construction projects, specifically focusing on residential and commercial developments. A comprehensive literature review was carried out to identify commonly reported productivity factors, followed by a structured questionnaire survey conducted among construction professionals, including engineers, contractors, and site supervisors in the Vadodara region.The collected data were analysed using statistical techniques such as the Relative Importance Index (RII), Frequency Index (FI), and Severity Index (SI) to determine the significance and impact level of each factor. The study considered a wide range of factors categorized under management, labour, material, financial, and external conditions. The analysis results indicate that holidays, lack of technological advancements in machinery, financial difficulties of the owner, frequent changes in design, and shortage of materials are among the most significant factors negatively affecting labour productivity. Furthermore, the study highlights that ineffective communication, poor coordination among stakeholders, and inadequate planning contribute substantially to reduced efficiency on construction sites. The findings emphasize the importance of adopting modern construction technologies, improving management practices, ensuring timely availability of resources, and enhancing labour skills through training and better working conditions. The outcomes of this research provide valuable insights for construction professionals and project managers to develop effective strategies for improving labour productivity. By addressing the identified factors, it is possible to optimize resource utilization, minimize delays, and achieve better project performance in terms of time, cost, and quality. The study also suggests that future research can focus on different types of construction projects and incorporate real-time productivity measurement techniques for more accurate analysis.

KEYWORDS

Key Words: Labour Productivity Construction Industry Relative Importance Index (RII) Productivity Factors Project Management Building Construction Resource Management Communication & Coordination.

Cite This Article

Raj Thakkar, Dr. Reshma L. Patel, Dr. J.R. Pitroda, Shaan mahendru, "A study on labour productivity in Indian building construction project," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-19, May 2026. https://doi.org/10.55041/IJSREM62657

Full Article/Conclusion

1.               The study identified key factors affecting labour productivity using RII, FI, and SI methods. 2.               Both internal (management, labour) and external (financial, environmental) factors significantly influence productivity. 3.               Holidays, lack of technological advancements, and financial difficulties of the owner are the most critical factors. 4.               Frequent design changes and poor resource management negatively impact labour efficiency. 5.               Poor communication and coordination among stakeholders lead to delays and reduced productivity. 6.               Proper planning, supervision, and timely decision-making are essential to improve productivity. 7.               Adoption of modern equipment and technology can significantly enhance labour performance. 8.               Improving labour skills, training, and working conditions helps in increasing efficiency. 9.               Effective resource allocation and management reduces delays and cost overruns 10.            Overall, better management practices and coordination can improve project time, cost, and quality performance.

References

[1]        B. Patel, P. J. J. Bhavsar, and J. Pitroda, “A Critical Literature Review of Labour Productivity in Building Construction,” vol. 3, no. 4, pp. 76–80, 2017. [2]        S. R. Kundapura and P. Rathod, “A Study on Impact of Labour Productivity on Construction Project Process,” vol. 8, no. 1, pp. 1–10, 2026. [3]        N. Kaja and A. Jauswal, “Assessment of Construction Labour Productivity in India ISSN No : 0932-4747,” vol. 8, no. 05, pp. 187–194, 2022. [4]        D. Karthik and K. R. C. B, “A Study on Construction Labour Productivity Parameters in India,” vol. 6, no. 1, pp. 45–52, 2016. [5]        N. Kadu, J. Mistry, S. Ganiga, G. Chaurasiya, and P. Yadav, “Construction Labour Productivity-A Review,” Int. J. Eng. Res. Technol., vol. 9, no. 3, pp. 129–133, 2020. [6]        M. Hamza, S. Shahid, M. Rosli, and B. Hainin, “Construction labour productivity : review of factors identified,” Int. J. Constr. Manag., vol. 0, no. 0, pp. 1–13, 2019, doi: 10.1080/15623599.2019.1627503. [7]        A. N. K. M, “Labour Productivity Model for Structural Elements By Varying Buildability Factors using Multiple Regression Analysis,” vol. 4, no. 2, pp. 139–146, 2018. [8]        K. V. Kumar, S. Madhusudhan, and A. Pradesh, “Cyber Security – Current Issues and Challenges among Global Countries,” pp. 859–861, 2018.

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Publication Date

5/6/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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