Patterns of Skill Sets for Multiskilled Laborers Based on Construction Job Advertisements Using Web Scraping and Text Analytics
Publication: Journal of Management in Engineering
Volume 39, Issue 3
Abstract
The major objective of this research is to investigate what skill sets are desirable to utilize a multiskilled labor force in the construction industry using web scraping and text analytics. The construction industry has been suffering from skilled labor shortages for decades. To resolve the shortage and pertinent problems, multiskilled labor utilization has been presented in construction. Although extensive research has been conducted over multiskilling, it is still uncertain what skill sets are desirable to foster and utilize multiskilled labor force in construction projects. It is also difficult for laborers to know which skill sets will be competitive in the job market. To fill this gap, this research investigated skill sets for multiskilled labor development in the construction industry using web scraping techniques. The results were derived from large data collected over a year. We analyzed texts of construction job advertisements and provided the trends in what skill sets are beneficial for laborers to get employed using text mining techniques with categories from US Bureau of Labor Statistics. The results provided construction workers with the information of what kind of skill sets are required to meet industrial needs. This study provided two types of dual skill sets matrices from text analytics, analyzing only the texts that are essential to job advertisements and analyzing all the texts in job advertisements. The research also provided an example for multiskilling strategies with the matrices and an additional matrix from professional surveys. This study will contribute to the body of knowledge by identifying high-demand dual skill sets and presenting the multiskilling through the data-driven analysis of real construction job market.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
ABC (Associated Builders and Contractors, Inc.). 2022. “ABC: Construction industry faces workforce shortage of 650,000 in 2022.” Accessed April 25, 2022. https://www.abc.org/News-Media/News-Releases/entryid/19255/abc-construction-industry-faces-workforce-shortage-of-650-000-in-2022.
Ahmadian Fard Fini, A., T. H. Rashidi, A. Akbarnezhad, and S. Travis Waller. 2016. “Incorporating multiskilling and learning in the optimization of crew composition.” J. Constr. Eng. Manage. 142 (5): 04015106. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001085.
Burleson, R. C., C. T. Haas, R. L. Tucker, and A. Stanley. 1998. “Multiskilled labor utilization strategies in construction.” J. Constr. Eng. Manage. 124 (6): 480–489. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:6(480).
Carley, L. A., C. T. Haas, J. D. Borcherding, and P. M. Goodrum. 2003. “Experiences with multiskilling among non-union craft workers in US industrial construction projects.” Eng. Constr. Archit. Manage. 10 (6): 374–381. https://doi.org/10.1108/09699980310509345.
Florez, L., D. Castro-Lacouture, and A. L. Medaglia. 2013. “Sustainable workforce scheduling in construction program management.” J. Oper. Res. Soc. 64 (8): 1169–1181. https://doi.org/10.1057/jors.2012.164.
Haas, T. C., A. M. Rodriguez, R. Glover, and P. M. Goodrum. 2001. “Implementing a multiskilled workforce.” Construct. Manage. Econ. 19 (6): 633–641. https://doi.org/10.1080/01446190110050936.
Hovnanian, G., R. Luby, and S. Peloquin. 2022. “Bridging the labor mismatch in US construction.” Accessed August 12, 2022. https://www.mckinsey.com/business-functions/operations/our-insights/bridging-the-labor-mismatch-in-us-construction.
Kim, S., S. Chang, and D. Castro-Lacouture. 2020. “Dynamic modeling for analyzing impacts of skilled labor shortage on construction project management.” J. Manage. Eng. 36 (1): 04019035. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000720.
Lill, I. 2008. “Sustainable management of construction labour.” In Proc., 25th Int. Symp. on Automation and Robotics in Construction, 864–875. Vilnius, Lithuania: International Association for Automation and Robotics in Construction.
Liu, S. S., and C. J. Wang. 2012. “Optimizing linear project scheduling with multi-skilled crews.” Autom. Constr. 24 (Feb): 16–23. https://doi.org/10.1016/j.autcon.2011.12.009.
Manley, K., and S. Mcfallan. 2006. “Exploring the drivers of firm-level innovation in the construction industry.” Construct. Manage. Econ. 24 (9): 911–920. https://doi.org/10.1080/01446190600799034.
Mouchi, G., J. Olabode Rotimi, and T. Ramachandra. 2011. “The skill sets required for managing complex construction projects.” J. Educ. Adm. 3 (1): 89–100. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001577.
Nasirian, A., M. Arashpour, and B. Abbasi. 2019a. “Critical literature review of labor multiskilling in construction.” J. Constr. Eng. Manage. 145 (1): 04018113. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001577.
Nasirian, A., M. Arashpour, B. Abbasi, E. Zavadskas, and A. Akbar Nezhad. 2019b. “Skill set configuration in prefabricated construction: Hybrid optimization and multicriteria decision-making approach.” J. Constr. Eng. Manage. 145 (9): 04019050. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001677.
Oh, H. J., S. Chang, and B. Ashuri. 2021. “Investigation of skill sets for multiskilled labor development in construction.” EPiC Ser. Built Environ. 2 (Jun): 100–107. https://doi.org/10.29007/TSK3.
US BLS (US Bureau of Labor Statistics). 2020. “Occupational outlook handbook.” Accessed May 31, 2020. https://www.bls.gov/ooh/.
Wang, Y., P. M. Goodrum, C. T. Haas, and R. W. Glover. 2009. “Analysis of observed skill affinity patterns and motivation for multiskilling among craft workers in the U.S. industrial construction sector.” J. Constr. Eng. Manage. 135 (10): 999–1008. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000072.
Wongwai, N., and S. Malaikrisanachalee. 2011. “Augmented heuristic algorithm for multi-skilled resource scheduling.” Autom. Constr. 20 (4): 429–445. https://doi.org/10.1016/j.autcon.2010.11.012.
Information & Authors
Information
Published In
Journal of Management in Engineering
Volume 39 • Issue 3 • May 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Aug 24, 2022
Accepted: Dec 21, 2022
Published online: Feb 16, 2023
Published in print: May 1, 2023
Discussion open until: Jul 16, 2023
ASCE Technical Topics:
- Business management
- Construction engineering
- Construction industry
- Construction management
- Construction methods
- Data collection
- Employment
- Engineering fundamentals
- Labor
- Mathematical functions
- Mathematics
- Matrix (mathematics)
- Methodology (by type)
- Personnel management
- Practice and Profession
- Project management
- Research methods (by type)
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