A Network-Based Approach to Understand Potentials for On-the-Job Training in Construction Professions
Publication: Construction Research Congress 2022
ABSTRACT
Recent studies indicated that automation will disproportionately affect middle-skill jobs and intensify the polarization in the labor market. A major challenge for middle-skill workers is that they may need to transition to different jobs during their professional life. Lifelong learning is a potential solution to help people transition to new jobs when necessary. One of the approaches to promote lifelong learning is on-the-job training that helps workers learn new skills through interaction with other professions. However, not all jobs offer the same level of potential for this approach. Understanding connections among construction jobs based on their required skills, knowledge, and abilities is the first step toward designing a systematic plan for on-the-job training. To address this need, we use network science to analyze the Occupational Information Network (O*NET) data developed by the US Department of Labor. A multipartite network of 84 construction jobs, 35 skills, 52 abilities, and 33 knowledge areas is created to calculate and analyze three network indices including degree centrality, eigenvector centrality, and closeness centrality to understand potential capacity of learning through interaction with other professions for each job.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Alabdulkareem, A., Frank, M., Sun, L., Alshebli, B., Hidalgo, C., and Rahwan, I. (2018). “Unpacking the polarization of workplace skills.” Science Advances. Cambridge, MA.
Jacobs, R. L. (2003). Structured on-the-job training: Unleashing employee expertise in the workplace. San Francisco, CA: Berrett Koehler.
Ahadi, S., and Jacobs, R. L. (2017). “A review of the literature on structured on-the-job training and directions for future research.” Human Resource Development Review, 16(4), 323–349.
Marsick, V. J., and Volpe, M. (1999). “The nature of and need for informal learning.” Advances in developing human resources. 1(3), 1–9
Massachusetts Institute of Technology. (2019). The Work of the Future: Shaping Technology and Institutions. MA: MIT Work of the Future.
Newman, M. E. J. (2010). Networks An Introduction. In Measures and metrics. 1st ed., New York: Oxford, 168-172, 181–185.
Newman, M. E. J. (2004). “Analysis of weighted networks.” Physical Review E. 70(5), 056131
Newman, M. E. J. (2001). “Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality.” Physical Review E. 64(1), 016132.
Opsahl, T., Agneessens, F., and Skvoretz, J. (2010). “Node centrality in weighted networks: Generalizing degree and shortest paths.” Social Networks. 32(3), 245–251.
Occupational Information Network. (2021). O*NET OnLine, <https://www.onetonline.org/>(September 2, 2021).
Park, Y., and Choi, W. (2016). “The effects of formal learning and informal learning on job performance: the mediating role of the value of learning at work.” Asia Pacific Education Review, 17(2), 279–287.
Penney, L. M., David, E., and Witt, L. A. (2011). “A review of personality and performance: Identifying boundaries, contingencies, and future research directions.” Human Resource Management Review, 21, 297–310.
Noe, R. A., Tews, M. J., and Marand, A. D. (2013). “Individual differences and informal learning in the workplace.” Journal of vocational behavior, 83(3), 327–335.
Noe, R. A., and Kodwani, A. D. (2018). Employee training and development, 7e. McGraw-Hill Education.
Rothwell, W. J., and Kazanas, H. C. (1990). “Planned OJT is productive OJT.” Training & Development Journal, 44(10), 53–57.
Rothwell, W. J., and Kazanas, H. C. (2004). Improving on-the-job training: How to establish and operate a comprehensive OJT program. John Wiley & Sons.
Information & Authors
Information
Published In
Construction Research Congress 2022
Pages: 81 - 89
History
Published online: Mar 7, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.