Improving construction workforce entry by examining construction equipment operators' employment practices

Dong, Y; Hu, Y; Cai, J; Xu, X and Li, S (2025) Improving construction workforce entry by examining construction equipment operators' employment practices. Journal of Construction Engineering and Management, 151(10): 04025138, ISSN 0733-9364

Abstract

The construction industry faces persistent workforce shortages, especially in specialized roles such as construction equipment operators (EOs), where participation from certain demographic groups remains low (only 2.52% of females). Although new technologies' emergence in construction, like teleoperation, offer opportunities to expand the talent pipeline, without a fair recruitment process, the industry risks missing the chance to broaden participation and address labor shortages. Therefore, examining whether current construction recruitment includes factors potentially influencing female participation is necessary but underexplored in previous studies. This study examines current recruitment practices for EOs, starting from job postings, job interviews, and evaluation to the ranking process. Specifically, through content analysis of job postings, gendered languages, and implicit preferences are identified (high physical demands, overtime work, and so on) that might make construction lose attraction for broader applicants. A survey is used to identify influencing factors in remaining procedures through binary logistic regression and multiple linear regression analysis. The results show that companies that prioritize standardized applicant evaluation and ranking methods and professional references tend to report broader representation among their equipment operators. Using objective metrics, such as completed task numbers, to evaluate postrecruitment performance supports broader workforce participation by emphasizing measurable outputs over subjective assessments. Incorporating peer evaluations from the same task group can further contribute to more balanced workforce representation because diverse perspectives mitigate individual biases. However, during recruitment, although companies perceive evaluating applicants' skills and experience via objective measures to demonstrate fairness, actually, this strategy can inadvertently disadvantage female equipment operators. This effect is likely linked to long-term patterns in the industry, where task assignments and resource access have not been equally distributed, thereby limiting opportunities for all individuals to develop comparable experience. Additionally, teleoperation is commonly believed to support workforce entry by reducing physical demands and enabling remote operation. These findings provide clear directions for further improving workforce entry in construction industry.

Item Type: Article
Index terms: new technology, construction equipment, logistic regression, influencing factor, pipeline, employment, labour shortage, fairness, regression analysis, recruitment, construction industry, interview, survey, face, strategy, content analysis, bias, emergence, shortages, preference
Subjects: decision-making and reasoning, leadership, economic analysis, innovation and technology management, psychology, construction equipment, probability and distributions, economics, management, systems engineering, statistical analysis, industry analysis, infrastructure and transport systems, data collection methods, risk assessment, data analysis and analytics
Topics: Supply Chain Management, Risk Management, Engineering Principles, Organizational Design, Human Resources, Plant and Equipment, Business Strategy, Research Practice
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here