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Analysis of Observed Skill Affinity Patterns and Motivation for Multiskilling among Craft Workers in the U.S. Industrial Construction Sector
Authors:Yinggang Wang  Paul M. Goodrum  Carl T. Haas  Robert W. Glover
Affiliation:1Ph.D. Candidate, Civil Engineering Dept., Univ. of Kentucky, A151C Raymond Building, Lexington, KY 40506.
2Associate Professor, Civil Engineering Dept., Univ. of Kentucky, C151C Raymond Building, Lexington, KY 40506 (corresponding author). E-mail: pgoodrum@engr.uky.edu
3Professor, Dept. of Civil and Environmental Engineering, Univ. of Waterloo ON, Canada N2L 31.
4Research Scientist, The Ray Marshall Center for the Study of Human Resources, LBJ School of Public Affairs, The Univ. of Texas at Austin, 3001 Lake Austin Blvd., Suite 3.200, Austin, TX 78703-4205.
Abstract:Previous research has shown that multiskilling strategies can increase productivity, quality, and continuity of work and can also help mitigate craft shortages through better utilization of the existing workforce. Using extensive craft certification and skills data, the writers apply correlation and cluster analyses to identify actual patterns of multiskilling among craft workers using two separate data sources. The results of the cluster analysis indicate that current craft skills aggregate into four groups: civil, mechanical, electrical, and general support. It is also observed that acquiring mutually supporting skill set pairs significantly drives multiskilling strategies in practice, thus diminishing the relative impact that duration on project has on driving multiskilling practice, despite its importance in previous literature. Still, comparing the observed multiskilling patterns obtained from the skill affinity analyses with multiskilling strategies proposed by previous studies generally reinforces the potential efficacy of those strategies.
Keywords:Construction industry  Labor  Training  Productivity  
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