FACTOR ANALYSIS OF RECRUITMENT AND SELECTION ATTRIBUTES TO PROMOTE WORKFORCE PERFORMANCE IN THE NIGERIAN CONSTRUCTION INDUSTRY
- Authors
-
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Babalola, H. I
Federal University of Technology Akure, Nigeria
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- Keywords:
- Construction industry,, Delphi technique, Nigeria, Performance, Recruitment and Selection, Workforce
- Abstract
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This study aims to identify and assess recruitment and selection (RNS) attributes to promote workforce performance in the Nigerian construction industry. A mixed-method research approach was adopted. The qualitative approach was achieved using a Delphi technique while the quantitative strand was achieved using a well-structured questionnaire among 355 construction professionals. Data obtained were analyzed using frequency, mean, and exploratory factor analysis (EFA). The study is underpinned by five theories. It was revealed that the “appointments based on merits", "internal promotion to fill the position", “use of line managers in RNS process”, “unbiased interview panels”, and “careful screening and evaluation of candidates," were the top five RNS attributes that the industry should leverage on to promote workforce performance. Further analysis using EFA revealed two principal components, namely, internal and transparent systems as well as firm methods. However, both the “internal promotion to fill the position” and “line manager’s usage in RNS process” had poor extraction values, cross-loading, and erroneous loading. The study provided a solid platform for future researchers seeking to explore the recruitment and selection attributes that the industry could leverage for effective workforce performance within the construction industry. Whilst several studies have been conducted on workforce RNS, there is a lack of studies that establish an ordered grouping structure that the construction industry could leverage to enhance the hiring and selecting of quality workforce to promote their effective performance in the construction industry.
Keywords: Construction industry, Delphi technique, Nigeria, Performance, Recruitment and Selection, Workforce.
- Author Biography
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