Factors affecting labor productivity in the global construction industry: a critical review,  classification and ranking

Ray Ardila; Manuel Yesid Durán Padra; Karen Yuset Vides Martinez; Guillermo Mejía Aguilar

doi:10.22517/23447214.25546

Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking

Authors

Ray Ardila University Industrial of Santander https://orcid.org/0009-0003-2521-7265
Manuel Yesid Durán Padra University Industrial of Santander UIS, Colombia https://orcid.org/0009-0008-5605-3845
Karen Yuset Vides Martinez University Industrial of Santander UIS, Colombia https://orcid.org/0009-0002-0321-0268
Guillermo Mejía Aguilar University Industrial of Santander UIS

DOI:

https://doi.org/10.22517/23447214.25546

Keywords:

Labor Productivity; Construction Industry; Growth challenges; Ranking factors; Sectoral advancement.

Abstract

The construction industry plays a fundamental role in economic development and job creation, but it faces challenges of labor productivity that have been exacerbated due to the recent COVID-19 pandemic. Labor productivity is a critical component of success, as it influences the duration, costs, and efficiency of
projects. Understanding the nature of factors affecting labor productivity is essential to finding solutions. This study examined the literature to identify key factors influencing labor productivity, departing from conventional analytical approaches. Through mixed-methods analysis, qualitative approaches of systematic reviews identified influential factors based on 97 documents.
Subsequently, they were classified using a combination of statistical analysis and hierarchical clustering methods that encompassed both internal and external factors. The Importance Value Index allowed for the classification of the 30 most critical factors, analyzing three possible ranking scenarios. The study found that the interest in researching the topic remains relevant and has evolved over time. In recent years, greater attention has been paid to labor, management, work environment, and technical aspects. The results indicate that internal project factors, such as scheduling, planning, technical considerations, and resource
management, are more predictable and controllable than external factors. Effective resource management and a comprehensive approach are essential for optimizing construction productivity. Project-level factors, as well as materials, tools, and equipment, play an important role. By synthesizing existing knowledge and identifying and classifying key productivity factors, this study offers valuable insights to construction professionals, policymakers, and researchers seeking to improve labor productivity and optimize project outcomes.

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References

[1] Marsh and GuyCarpenter, “Future of Construction, A Global Forecast for Construction to 2030,” London UK, 2021. [Online]. Available: https://www.oxfordeconomics.com/resource/future-of-construction/

[2] International Labour Organization, “ILOSTAT,” Labour Force Participation Rate.

[3] McKinsey Global Institute, “REINVENTING CONSTRUCTION: A ROUTE TO HIGHER PRODUCTIVITY,” 2017. doi: 10.1080/19320248.2010.527275.

[4] C. Atkins, O. White, A. Padhi, K. Ellingrud, A. Madgavkar, and M. Neary, “Rekindling US productivity for a new era,” 2023. [Online]. Available: https://www.mckinsey.com/mgi/our-research/rekindling-us-productivity-for-a-new-era

[5] J. M. Neil and L. E. Knack, “Predicting productivity,” in Transactions of the American Association of Cost Engineers, AACE, Ed., Morgantown, WV, USA: AACE, 1984, pp. 1–8. doi: 0930284194.

[6] J. A. Brown, “ESTIMATING LABOR PRODUCTIVITY,” in 30th Annual Meeting of the American Association of Cost Engineers, A. International, Ed., Chicago-Midwest Section, Chicago, IL, USA: Kenneth K. Humphreys, 1986.

[7] B. H. R. Thomas, W. F. Maloney, G. R. Smith, V. K. Handa, and S. R. Sanders, “Modeling construction Labor Productivity,” vol. 116, no. 4, pp. 705–726, 1990.

[8] S. R. Sanders and H. R. Thomas, “Factors affecting masonry-lahok productivity,” J Constr Eng Manag, vol. 117, no. 4, pp. 626–644, 1991, doi: 10.1061/(ASCE)0733-9364(1991)117:4(626).

[9] M. Abdul Kadir, W. Lee, M. Jaafar, S. Sapuan, and A. Ali, “Factors affecting construction labour productivity for Malaysian residential projects,” Structural Survey, vol. 23, no. 1, pp. 42–54, 2005, doi: 10.1108/02630800510586907.

[10] A. Enshassi, S. Mohamed, Z. A. Mustafa, and P. E. Mayer, “Factors affecting labour productivity in building projects in the Gaza strip,” Journal of Civil Engineering and Management, vol. 13, no. 4, pp. 245–254, 2007, doi: 10.1080/13923730.2007.9636444.

[11] M. E. Shehata and K. M. El-Gohary, “Towards improving construction labor productivity and projects’ performance,” Alexandria Engineering Journal, vol. 50, no. 4, pp. 321–330, 2011, doi: 10.1016/j.aej.2012.02.001.

[12] A. M. Jarkas, “Factors influencing labour productivity in Bahrain’s construction industry,” International Journal of Construction Management, vol. 15, no. 1, pp. 94–108, 2015, doi: 10.1080/15623599.2015.1012143.

[13] A. Agrawal and S. Halder, “Identifying factors affecting construction labour productivity in India and measures to improve productivity,” Asian Journal of Civil Engineering, vol. 21, no. 4, pp. 569–579, 2020, doi: 10.1007/s42107-019-00212-3.

[14] N. Van Tam, N. Quoc Toan, D. Tuan Hai, and N. Le Dinh Quy, “Critical factors affecting construction labor productivity: A comparison between perceptions of project managers and contractors,” Cogent Business and Management, vol. 8, no. 1, 2021, doi: 10.1080/23311975.2020.1863303.

[15] H. R. Thomas and J. Daily, “Crew Performance Measurement Via Activity Sampling,” J Constr Eng Manag, vol. 109, no. 3, pp. 309–320, 1983, doi: 10.1061/(asce)0733-9364(1983)109:3(309).

[16] R. M. W. Horner, B. Talhouni, and H. R. Thomas, “Preliminary results of a major labour productivity monitoring programme,” in Third Yugoslavian, Symp. on Organization and Management of Construction, Dubrovnik, Yugoslavia, 1989, pp. 17–28.

[17] A. M. Jarkas, “Buildability factors that influence micro-level formwork labour productivity of beams in building floors,” Journal of Construction in Developing Countries, vol. 16, no. 1, pp. 1–18, 2011.

[18] J. W. Creswell and C. N. Poth, Qualitative inquiry and research design: Choosing among five approaches, Fourth Edi. Printed in the United States of America: SAGE Publications, 2016.

[19] P. Bruce and A. Bruce, No Title, Firts Edit., vol. 34, no. 11. Sebastopol, California-USA: O’Reilly Media, 2017.

[20] J.-T. Zidane and B. Andersen, “The top 10 universal delay factors in construction projects,” International Journal of Managing Projects in Business, pp. 650–672, 2018, doi: https://doi.org/10.1108/IJMPB-05-2017-0052.

[21] I. El-Rayes and O. Moselhi, “Change orders impact on labor productivity,” J Constr Eng Manag, pp. 354–359, 2005, doi: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(354).

[22] I. Mahamid, “Contractors perspective toward factors affecting labor productivity in building construction,” Engineering Construction and Architectural Management, pp. 446–460, 2013, doi: https://doi.org/10.1108/ECAM-08-2011-0074.

[23] K. Golchin Rad and S. Kim, “Factors affecting construction labor productivity: iran case study,” Iranian Journal of Science and Technology Transactions of Civil Engineering, pp. 165–180, 2018, doi: https://doi.org/10.1007/s40996-018-0095-2.

[24] M. Hamza, S. Shahid, R. Bin Hainin M., and S. Nashwan M., “Construction labour productivity: review of factors identified,” International Journal of Construction Management, pp. 413–425, 2022, doi: https://doi.org/10.1080/15623599.2019.1627503.

[25] United Nations Department of Economic and Social Affairs, “Definition of Regions.” [Online]. Available: https://population.un.org/wpp/DefinitionOfRegions/

[26] N. Nickdoost, J. Choi, Y. AbdelRazig, and J. Sobanjo, “A Project Life-Cycle Approach to Managing Procrastination in Construction Projects: State-of-the-Art Review,” J Constr Eng Manag, vol. 148, no. 5, pp. 1–19, 2022, doi: 10.1061/(asce)co.1943-7862.0002262.

[27] A. M. Al Refaie, A. M. Alashwal, Z. Abdul-Samad, and H. Salleh, “Weather and labor productivity in construction: a literature review and taxonomy of studies,” International Journal of Productivity and Performance Management, vol. 70, no. 4, pp. 941–957, 2021, doi: 10.1108/IJPPM-12-2019-0577.

[28] R. N. Nurhendi, M. A. Khoiry, and N. Hamzah, “Review on factors influencing labour productivity in construction project,” International Journal of Recent Technology and Engineering, vol. 7, no. 6, pp. 837–844, 2019.

[29] A. Agrawal and S. Halder, “Identifying factors affecting construction labour productivity in India and measures to improve productivity,” Asian Journal of Civil Engineering, vol. 21, no. 4, pp. 569–579, 2020, doi: 10.1007/s42107-019-00212-3.

[30] J. H. Wong, A. Rashidi, and M. Arashpour, “Evaluating the impact of building information modeling on the labor productivity of construction projects in Malaysia,” Buildings, vol. 10, no. 4, 2020, doi: 10.3390/BUILDINGS10040066.

[31] W. Alaghbari, A. A. Al-Sakkaf, and B. Sultan, “Factors affecting construction labour productivity in Yemen,” International Journal of Construction Management, vol. 19, no. 1, pp. 79–91, 2019, doi: 10.1080/15623599.2017.1382091.

[32] N. V. Achuth Kumar and S. S. Asadi, “Assesement on factors declining labour productivty in construction projects,” International Journal of Civil Engineering and Technology, vol. 8, no. 1, pp. 340–348, 2017.

[33] A. M. Jarkas, C. Y. Kadri, and J. H. Younes, “A survey of factors influencing the productivity of construction operatives in the state of Qatar,” International Journal of Construction Management, vol. 12, no. 3, pp. 1–23, 2012, doi: 10.1080/15623599.2012.10773192.

[34] A. M. Jarkas, “Buildability factors that influence micro-level formwork labour productivity of beams in building floors,” Journal of Construction in Developing Countries, vol. 16, no. 1, pp. 1–18, 2011.

[35] K. Nelsia Priya Dharsini and M. C. Sashikkumar, “Probabilistic model development for estimating construction labor productivity optimization integrating with fuzzy logic approach systems,” Iranian Journal of Fuzzy Systems, vol. 17, no. 6, pp. 193–201, 2020, doi: 10.22111/IJFS.2020.5611.

[36] I. Mahamid, “Study of Relationship between Rework and Labor Productivity In Building Construction Projects,” Revista de la Construccion, vol. 19, no. 1, pp. 30–40, 2020, doi: 10.7764/RDLC.19.1.30-41.

[37] F. Nasirzadeh, M. Rostamnezhad, D. G. Carmichael, A. Khosravi, and B. Aisbett, “Labour productivity in Australian building construction projects: a roadmap for improvement,” International Journal of Construction Management, vol. 22, no. 11, pp. 2079–2088, 2020, doi: 10.1080/15623599.2020.1765286.

[38] G. Selvam, T. C. Madhavi, T. P. Naazeema Begum, and M. Sudheesh, “Impact of labour productivity in estimating the duration of construction projects,” International Journal of Construction Management, pp. 1–7, 2020, doi: 10.1080/15623599.2020.1790475.

[39] M. M. de Abreu and A. C. Lordsleem, “Aluminum formwork system: loss and productivity,” Built Environment Project and Asset Management, vol. 9, no. 5, pp. 616–627, 2019, doi: 10.1108/BEPAM-04-2018-0070.

[40] M. Parchami Jalal and S. Shoar, “A hybrid framework to model factors affecting construction labour productivity: Case study of Iran,” Journal of Financial Management of Property and Construction, vol. 24, no. 3, pp. 630–654, 2019, doi: 10.1108/JFMPC-10-2018-0061.

[41] A. S. Hanna, R. Camlic, P. A. Peterson, and M.-J. Lee, “Cumulative Effect of Project Changes for Electrical and Mechanical Construction,” J Constr Eng Manag, vol. 130, no. 6, pp. 762–771, 2004, doi: 10.1061/(asce)0733-9364(2004)130:6(762).

[42] A. V. Thomas and J. Sudhakumar, “Factors influencing construction labour productivity: An Indian case study,” Journal of Construction in Developing Countries, vol. 20, no. 2, pp. 53–68, 2015.

[43] G. Heravi and E. Eslamdoost, “Applying Artificial Neural Networks for Measuring and Predicting Construction-Labor Productivity,” J Constr Eng Manag, vol. 141, no. 10, pp. 1–11, 2015, doi: 10.1061/(asce)co.1943-7862.0001006.

[44] F. Nasirzadeh and P. Nojedehi, “Dynamic modeling of labor productivity in construction projects,” International Journal of Project Management, vol. 31, no. 6, pp. 903–911, 2013, doi: 10.1016/j.ijproman.2012.11.003.

[45] E. Amede, “A relationship between productivity and significant controlling factors of highway construction earthwork,” Cogent Eng, vol. 9, no. 1, 2022, doi: 10.1080/23311916.2022.2114203.

[46] S. Dabirian, M. Moussazadeh, M. Khanzadi, and S. Abbaspour, “Predicting the effects of congestion on labour productivity in construction projects using agent-based modelling,” International Journal of Construction Management, vol. 23, no. 4, pp. 606–618, 2021, doi: 10.1080/15623599.2021.1901330.

[47] H. Al Balushi, M. AL-Alawi, and M. Al Shahri, “Modeling, Investigating, and Quantification of the Hot Weather Effects on Construction Projects in Oman,” Journal of Engineering Research, vol. 17, no. 2, pp. 89–99, 2020, doi: 10.24200/tjer.vol17iss2pp89-99.

[48] C. K. Chang, A. S. Hanna, S. Woo, and C. S. Cho, “Logistic Regression Modeling to Determine Projects impacted by Schedule Compression,” KSCE Journal of Civil Engineering, vol. 23, no. 4, pp. 1493–1500, 2019, doi: 10.1007/s12205-019-2056-0.

[49] I. Lishner and A. Shtub, “The compounding effect of multiple disruptions on construction projects,” International Journal of Construction Management, vol. 23, no. 6, pp. 1061–1068, 2021, doi: 10.1080/15623599.2021.1952770.

[50] S. Golnaraghi, O. Moselhi, S. Alkass, and Z. Zangenehmadar, “Predicting construction labor productivity using lower upper decomposition radial base function neural network,” Engineering Reports, vol. 2, no. 2, pp. 1–16, 2020, doi: 10.1002/eng2.12107.

[51] I. Abramov, “Formation of integrated structural units using the systematic and integrated method when implementing high-rise construction projects,” E3S Web of Conferences, vol. 33, pp. 0–6, 2018, doi: 10.1051/e3sconf/20183303075.

[52] L. Florez and J. C. Cortissoz, “Defining a Mathematical Function for Labor Productivity in Masonry Construction: A Case Study,” Procedia Eng, vol. 164, no. June, pp. 42–48, 2016, doi: 10.1016/j.proeng.2016.11.590.

[53] A. S. Hanna, R. Camlic, P. A. Peterson, and E. V. Nordheim, “Quantitative Definition of Projects Impacted by Change Orders,” J Constr Eng Manag, vol. 128, no. 1, pp. 57–64, 2002, doi: 10.1061/(asce)0733-9364(2002)128:1(57).

[54] M. Gunduz, “A quantitative approach for evaluation of negative impact of overmanning on electrical and mechanical projects,” Build Environ, vol. 39, no. 5, pp. 581–587, 2004, doi: 10.1016/j.buildenv.2003.11.006.

[55] M. Gunduz, “A quantitative approach for evaluation of negative impact of overmanning on electrical and mechanical projects,” Build Environ, vol. 39, no. 5, pp. 581–587, 2004, doi: 10.1016/j.buildenv.2003.11.006.

[56] A. S. Hanna, R. Camlic, P. A. Peterson, and M.-J. Lee, “Cumulative Effect of Project Changes for Electrical and Mechanical Construction,” J Constr Eng Manag, vol. 130, no. 6, pp. 762–771, 2004, doi: 10.1061/(asce)0733-9364(2004)130:6(762).

[57] H. Shehwaro, E. Zankoul, and H. Khoury, “An agent-based approach for modeling the effect of learning curve on labor productivity,” Proceedings of International Structural Engineering and Construction, vol. 3, no. 1, pp. 673–678, 2016, doi: 10.14455/ISEC.res.2016.105.

[58] M. Khanzadi, F. Nasirzadeh, M. Mir, and P. Nojedehi, “Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach,” Construction Innovation, vol. 18, no. 1, pp. 2–19, 2018, doi: 10.1108/CI-06-2015-0034.

[59] A. H. El-Batreek, A. S. Ezeldin, and M. M. G. Elbarkouky, “A framework for construction labor productivity improvement in Egypt,” AEI 2013: Building Solutions for Architectural Engineering - Proceedings of the 2013 Architectural Engineering National Conference, pp. 1007–1017, 2013, doi: 10.1061/9780784412909.098.

[60] M. Khanzadi, A. Kaveh, M. Alipour, and R. K. Mohammadi, “Assessment of labor productivity in construction projects using system dynamic approach,” Scientia Iranica, vol. 24, no. 6, pp. 2684–2695, 2017, doi: 10.24200/sci.2017.4164.

[61] S. Moradi, F. Nasirzadeh, and F. Golkhoo, “Modeling labor productivity in construction projects using hybrid SD-DES approach,” Scientia Iranica, vol. 24, no. 6, pp. 2752–2761, 2017, doi: 10.24200/sci.2017.4171.

[62] S. Kermanshachi, B. Rouhanizadeh, and P. Govan, “Developing management policies and analyzing impact of change orders on labor productivity in construction projects,” Journal of Engineering, Design and Technology, no. 1977, 2021, doi: 10.1108/JEDT-10-2020-0428.

[63] O. Moselhi and Z. Khan, “Analysis of labour productivity of formwork operations in building construction,” Construction Innovation, vol. 10, no. 3, pp. 286–303, 2010, doi: 10.1108/14714171011060088.

[64] F. M. S. Al-Zwainy, H. A. Rasheed, and H. F. Ibraheem, “Development of the construction productivity estimation model using artificial neural network for finishing works for floors with marble,” ARPN Journal of Engineering and Applied Sciences, vol. 7, no. 6, pp. 714–722, 2012.

[65] K. M. El-Gohary, R. F. Aziz, and H. A. Abdel-Khalek, “Engineering Approach Using ANN to Improve and Predict Construction Labor Productivity under Different Influences,” J Constr Eng Manag, vol. 143, no. 8, pp. 1–10, 2017, doi: 10.1061/(asce)co.1943-7862.0001340.

[66] D. Karthik and C. B. Kameswara Rao, “Identifying the significant factors affecting the masonry labour productivity in building construction projects in India,” International Journal of Construction Management, vol. 22, no. 3, pp. 464–472, 2022, doi: 10.1080/15623599.2019.1631978.

[67] I. Mahamid, “Relationship between delay and productivity in construction projects,” International Journal of Advanced and Applied Sciences, vol. 9, no. 2, pp. 160–166, 2022, doi: 10.21833/IJAAS.2022.02.018.

[68] M. H. Hanafi, O. M. Zhen, and A. A. Razak, “Contractors’ perspective on the main factors influencing on-site labour productivity: A focus on malaysian infrastructure projects,” International Journal of Sustainable Construction Engineering and Technology, vol. 12, no. 1, pp. 68–78, 2021, doi: 10.30880/ijscet.2021.12.01.007.

[69] N. Van Tam, N. Quoc Toan, D. Tuan Hai, and N. Le Dinh Quy, “Critical factors affecting construction labor productivity: A comparison between perceptions of project managers and contractors,” Cogent Business and Management, vol. 8, no. 1, 2021, doi: 10.1080/23311975.2020.1863303.

[70] N. J. Tammy, M. M. Medani, R. Ramli, J. N. Yunus, and R. N. H. R. M. Noor, “Evaluation of Human Factors Influencing Labor Productivity in Construction Project,” Lecture Notes in Civil Engineering, vol. 53, no. January, pp. 1549–1561, 2020, doi: 10.1007/978-3-030-32816-0_119.

[71] N. Q. Toan, N. Van Tam, D. T. Hai, and N. L. D. Quy, “Critical factors affecting labor productivity within construction project implementation: A project manager’s perspective,” Entrepreneurship and Sustainability Issues, vol. 8, no. 2, pp. 751–763, 2020, doi: 10.9770/jesi.2020.8.2(45).

[72] D. Vidaković, M. Hadzima-Nyarko, and S. Marenjak, “The contribution of workers’ attributes on sustainability of construction project realization goals—survey on the impact on productivity in Croatia,” Sustainability (Switzerland), vol. 12, no. 23, pp. 1–28, 2020, doi: 10.3390/su12239946.

[73] K. Nelsia Priya Dharsini and M. C. Sashikkumar, “Probabilistic model development for estimating construction labor productivity optimization integrating with fuzzy logic approach systems,” Iranian Journal of Fuzzy Systems, vol. 17, no. 6, pp. 193–201, 2020, doi: 10.22111/IJFS.2020.5611.

[74] S. Shoar and A. Banaitis, “Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: A high-rise building case study,” Journal of Civil Engineering and Management, vol. 25, no. 1, pp. 41–52, 2018, doi: 10.3846/jcem.2019.7785.

[75] A. R. Fayek and A. A. Tsehayae, “Modeling construction labour productivity using fuzzy logic and exploring the use of fuzzy hybrid techniques,” 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012, pp. 1–6, 2012, doi: 10.1109/NAFIPS.2012.6291023.

[76] A. R. Fayek and A. Oduba, “Predicting Industrial Construction Labor Productivity Using Fuzzy Expert Systems,” J Constr Eng Manag, vol. 131, no. 8, pp. 938–941, 2005, doi: 10.1061/(asce)0733-9364(2005)131:8(938).

[77] K. Takaiwa, “On the Relationship Beetween Productivity and Labor Cost of Multinational Workers in Overseas Construction Projects,” Bulletin of JSME, vol. 28, no. 236, pp. 367–372, 1985.

[78] C. K. Chang, A. S. Hanna, J. A. Lackney, and K. T. Sullivan, “Quantifying the impact of schedule compression on construction labor productivity,” Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress, pp. 587–596, 2005, doi: 10.1061/40754(183)58.

[79] S. Mohamed and K. Srinavin, “Forecasting labor productivity changes in construction using the PMV index,” Int J Ind Ergon, vol. 35, no. 4, pp. 345–351, 2005, doi: 10.1016/j.ergon.2004.09.008.

[80] A. M. Jarkas, “The effects of buildability factors on formwork labor productivity of grade beams,” Revista Ingenieria de Construccion, vol. 25, no. 2, pp. 241–266, 2010.

[81] O. Moselhi and Z. Khan, “Analysis of labour productivity of formwork operations in building construction,” Construction Innovation, vol. 10, no. 3, pp. 286–303, 2010, doi: 10.1108/14714171011060088.

[82] S. Sandbhor and R. Botre, “Applying total interpretive structural modeling to study factors affecting construction labour productivity,” Australasian Journal of Construction Economics and Building, vol. 14, no. 1, pp. 20–31, 2014, doi: 10.5130/ajceb.v14i1.3753.

[83] R. Adriadi, Ganefri, F. Rizal, T. R. Firdaus, and F. Purwani, “Work productivity of construction industry employees in two cross cultures,” International Journal of Scientific and Technology Research, vol. 8, no. 6, pp. 156–158, 2019.

[84] A. P. Svintsov and A. A. Abd Noor, “Evaluation of the reliability of the erection of brick walls structures of low-rise residential buildings,” Asian Journal of Civil Engineering, vol. 23, no. 2, pp. 187–201, 2022, doi: 10.1007/s42107-022-00415-1.

[85] H. M. Alinaitwe, J. A. Mwakali, and B. Hansson, “Factors affecting the productivity of building craftsmen - studies of Uganda,” Journal of Civil Engineering and Management, vol. 13, no. 3, pp. 169–176, 2007, doi: 10.1080/13923730.2007.9636434.

[86] H. Jang, K. Kim, J. Kim, and J. Kim, “Labour productivity model for reinforced concrete construction projects,” Construction Innovation, vol. 11, no. 1, pp. 92–113, 2011, doi: 10.1108/14714171111104655.

[87] R. A. Rivas, J. D. Borcherding, V. González, and L. F. Alarcón, “Analysis of Factors Influencing Productivity Using Craftsmen Questionnaires: Case Study in a Chilean Construction Company,” J Constr Eng Manag, vol. 137, no. 4, pp. 312–320, 2011, doi: 10.1061/(asce)co.1943-7862.0000274.

[88] I. Mahamid, “Contractors perspective toward factors affecting labor productivity in building construction,” Engineering, Construction and Architectural Management, vol. 20, no. 4, pp. 446–460, 2013, doi: 10.1108/ECAM-08-2011-0074.

[89] K. M. El-Gohary and R. F. Aziz, “Factors Influencing Construction Labor Productivity in Egypt,” Journal of Management in Engineering, vol. 30, no. 1, pp. 1–9, 2014, doi: 10.1061/(asce)me.1943-5479.0000168.

[90] H. Hamouda and N. Abu-Shaaban, “Enhancing labour productivity within construction industry through analytical hierarchy process, the case of Gaza Strip,” Proceedings 30th Annual Association of Researchers in Construction Management Conference, ARCOM 2014, no. September, pp. 1335–1344, 2014, doi: 10.13189/ujm.2015.030804.

[91] P. Ghoddousi, O. Poorafshar, N. Chileshe, and M. R. Hosseini, “Labour productivity in Iranian construction projects,” International Journal of Productivity and Performance Management, vol. 64, no. 6, pp. 811–830, 2015, doi: 10.1108/ijppm-10-2013-0169.

[92] N. Z. Muhammad et al., “Evaluation of factors affecting labour productivity in construction industry : a case,” J Teknol, vol. 77, no. 12, pp. 87–91, 2015.

[93] K. S. Agarwal, S. S. Tatekar, N. V. Makwana, and A. A. Sharma, “Analysis of labor efficiency and determination of the factors governing labor productivity in Mumbai Metropolitan Region,” 2018 International Conference on Smart City and Emerging Technology, ICSCET 2018, pp. 1–5, 2018, doi: 10.1109/ICSCET.2018.8537276.

[94] M. Gupta, A. Hasan, A. K. Jain, and K. N. Jha, “Site Amenities and Workers’ Welfare Factors Affecting Workforce Productivity in Indian Construction Projects,” J Constr Eng Manag, vol. 144, no. 11, pp. 1–11, 2018, doi: 10.1061/(asce)co.1943-7862.0001566.

[95] I. Mahamid, “Study of relationship between cost overrun and labour productivity in road construction projects,” International Journal of Productivity and Quality Management, vol. 24, no. 2, pp. 143–164, 2018, doi: 10.1504/IJPQM.2018.091791.

[96] A. Agrawal and S. Halder, “Identifying factors affecting construction labour productivity in India and measures to improve productivity,” Asian Journal of Civil Engineering, vol. 21, no. 4, pp. 569–579, 2020, doi: 10.1007/s42107-019-00212-3.

[97] M. Gunduz and A. Abu-Hijleh, “Assessment of human productivity drivers for construction labor through importance rating and risk mapping,” Sustainability (Switzerland), vol. 12, no. 20, pp. 1–18, 2020, doi: 10.3390/su12208614.

[98] F. Nasirzadeh, M. Rostamnezhad, D. G. Carmichael, A. Khosravi, and B. Aisbett, “Labour productivity in Australian building construction projects: a roadmap for improvement,” International Journal of Construction Management, vol. 22, no. 11, pp. 2079–2088, 2020, doi: 10.1080/15623599.2020.1765286.

[99] I. Mahamid, “Relationship between delay and productivity in construction projects,” International Journal of Advanced and Applied Sciences, vol. 9, no. 2, pp. 160–166, 2022, doi: 10.21833/IJAAS.2022.02.018.

[100] H. Doloi, “Application of AHP in improving construction productivity from a management perspective,” Construction Management and Economics, vol. 26, no. 8, pp. 841–854, 2008, doi: 10.1080/01446190802244789.

[101] A. M. Jarkas, “Buildability factors that influence micro-level formwork labour productivity of beams in building floors,” Journal of Construction in Developing Countries, vol. 16, no. 1, pp. 1–18, 2011.

[102] I. Mahamid, “Study of Relationship between Rework and Labor Productivity In Building Construction Projects,” Revista de la Construccion, vol. 19, no. 1, pp. 30–40, 2020, doi: 10.7764/RDLC.19.1.30-41.

[103] N. Nickdoost, J. Choi, Y. AbdelRazig, and J. Sobanjo, “A Project Life-Cycle Approach to Managing Procrastination in Construction Projects: State-of-the-Art Review,” J Constr Eng Manag, vol. 148, no. 5, pp. 1–19, 2022, doi: 10.1061/(asce)co.1943-7862.0002262.

[104] H. Nasir, C. Haas, M. Shahtaheri, C. Caldas, and P. Goodrum, “Labour productivity improvement through the use of best practices for infrastructure construction projects,” Proceedings, Annual Conference - Canadian Society for Civil Engineering, vol. 1, no. January, pp. 525–534, 2013.

[105] L. H. Nguyen and T. Watanabe, “The impact of project organizational culture on the performance of construction projects,” Sustainability (Switzerland), vol. 9, no. 5, pp. 19–25, 2017, doi: 10.3390/su9050781.

[106] S. Dey, S. Manikanda Prabhu, and G. Siva Subramani, “Identification and mitigation of factors affecting human resource productivity in construction,” International Journal of Civil Engineering and Technology, vol. 8, no. 1, pp. 123–131, 2017.

[107] M. Gupta, A. Hasan, A. K. Jain, and K. N. Jha, “Site Amenities and Workers’ Welfare Factors Affecting Workforce Productivity in Indian Construction Projects,” J Constr Eng Manag, vol. 144, no. 11, pp. 1–11, 2018, doi: 10.1061/(asce)co.1943-7862.0001566.

[108] D. Karthik and C. B. K. Rao, “The analysis of essential factors responsible for loss of labour productivity in building construction projects in India,” Engineering Journal, vol. 23, no. 2, pp. 55–70, 2019, doi: 10.4186/ej.2019.23.2.55.

[109] I. A. Rahman, A. H. Memon, A. Q. Memon, M. A. Shaikh, and F. Siddiqui, “Reasons of Poor Labour Productivity in COnstruction Works,” Malaysian Construction Research Journal, vol. 8, no. 3 Special Issue, pp. 25–29, 2019.

[110] K. Knight and A. R. Fayek, “A preliminary study of the factors affecting the cost escalation of construction projects Karla Knight and Aminah Robinson Fayek,” Canadian Journal of Civil Engineering, vol. 27, no. 1, pp. 73–83, 2000, doi: 10.1139/l99-057.

[111] W. Halpin and B. Senior, Construction-management..halpin. 1981.

[112] M. M. de Abreu and A. C. Lordsleem, “Aluminum formwork system: loss and productivity,” Built Environment Project and Asset Management, vol. 9, no. 5, pp. 616–627, 2019, doi: 10.1108/BEPAM-04-2018-0070.

[113] A. M. Jarkas, “The effects of buildability factors on rebar fixing labour productivity of isolated foundations,” International Journal of Construction Management, vol. 10, no. 2, pp. 33–51, 2010, doi: 10.1080/15623599.2010.10773143.

[114] K. Golchin Rad and S. Y. Kim, “Factors Affecting Construction Labor Productivity: Iran Case Study,” Iranian Journal of Science and Technology - Transactions of Civil Engineering, vol. 42, no. 2, pp. 165–180, 2018, doi: 10.1007/s40996-018-0095-2.

[115] S. Teab and P. Chanvarasuth, “Factor Influencing Labor Productivity On-Site Construction in Phnom Penh, Cambodia,” TIMES-iCON 2019 - 2019 4th Technology Innovation Management and Engineering Science International Conference, 2019, doi: 10.1109/TIMES-iCON47539.2019.9024566.

[116] A. Maqsoom, K. Khan, M. A. Musarat, H. Mubasit, and M. Umer, “Influence of Internal Workforce Diversity Factors on Labor Productivity in Construction Projects: Empirical Evidence from Pakistan,” 2020 2nd International Sustainability and Resilience Conference: Technology and Innovation in Building Designs, pp. 768–772, 2020, doi: 10.1109/IEEECONF51154.2020.9319935.

[117] T. Khaleel and Y. Nassar, “Identification and analysis of factors affecting labour productivity in Iraq,” MATEC Web of Conferences, vol. 162, pp. 1–11, 2018, doi: 10.1051/matecconf/201816202032.

[118] H. Jang, K. Kim, J. Kim, and J. Kim, “Labour productivity model for reinforced concrete construction projects,” Construction Innovation, vol. 11, no. 1, pp. 92–113, 2011, doi: 10.1108/14714171111104655.

[119] A. Kazaz, T. Acikara, and B. Er, “Evaluation of factors affecting labor productivity in Turkey by using herzberg Motivation-Hygiene theory,” Lecture Notes in Engineering and Computer Science, vol. 2224, no. September 2017, pp. 754–756, 2016.

[120] A. Kazaz, S. Ulubeyli, T. Acikara, and B. Er, “Factors affecting labor productivity: perspectives of craft workers,” Procedia Eng, pp. 28–34, 2016, doi: https://doi.org/10.1016/j.proeng.2016.11.588.

[121] W. Ibbs, L. D. Nguyen, and S. Lee, “Quantified impacts of project change,” Journal of Professional Issues in Engineering Education and Practice, vol. 133, no. 1, pp. 45–52, 2007, doi: 10.1061/(ASCE)1052-3928(2007)133:1(45).

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2024-04-03

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Ardila, R., Durán Padra, M. Y., Vides Martinez, K. Y., & Mejía Aguilar, G. (2024). Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking. Scientia Et Technica, 29(01), 18–33. https://doi.org/10.22517/23447214.25546

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Vol. 29 No. 01 (2024): Enero -Marzo

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Industrial

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