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EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization

Author

Listed:
  • Bogdan Florian Socoliuc

    (Business Administration Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Florin Nicolae

    (“Mircea cel Batran” Naval Academy, 900218 Constanta, Romania)

  • Doru Alexandru Pleșea

    (Business Administration Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Andrei Alexandru Suciu

    (Cybernetics and Economic Statistics Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

Abstract

This research identifies the maritime industry’s key manpower recruitment criteria and uses a specialized online platform to assess the impact of recruitment digital transformation. Through the analysis of 183 validated surveys of Romanian shipbuilding and ship-repair technicians using IBM SPSS Statistics, this study examines digital recruitment trends and potential outcomes. Additionally, it highlights a notable gap in recent literature on digital recruitment optimization within the EU shipbuilding and ship-repair sectors. The findings demonstrate that digitally integrating recruitment tools—such as technical interviews, verified performance evaluations, and machine-learning algorithms for candidate prioritization—could significantly enhance recruitment accuracy, transparency, and efficiency. The key potential outcomes include improved efficiency, reduced bias, scalability, and cost savings overall for the recruitment process—valuable insights for European maritime stakeholders seeking to remain competitive, while addressing increasing labor demands.

Suggested Citation

  • Bogdan Florian Socoliuc & Florin Nicolae & Doru Alexandru Pleșea & Andrei Alexandru Suciu, 2024. "EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization," Sustainability, MDPI, vol. 16(20), pages 1-25, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8887-:d:1498278
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    References listed on IDEAS

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