Author
Listed:
- Bogdan Florian Socoliuc
(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)
- Mădălina Ecaterina Popescu
(The Faculty of Economic Cybernetics, Statistics and Informatics, The Bucharest University of Economic Studies, 010552 Bucharest, Romania
The National Scientific Research Institute for Labour and Social Protection, 010643 Bucharest, Romania)
- Doru Alexandru Plesea
(Business Administration Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, Romania)
- Florin Nicolae
(“Mircea cel Batran” Naval Academy, 900218 Constanta, Romania)
Abstract
This study examines the effectiveness of digital recruitment platforms in addressing labor shortages within Norway’s shipbuilding and ship-repair industry. Through a data analysis of 446 job applications over a 12-month period, this study evaluates key recruitment metrics, including application response times (ARTs), candidate acceptance rates (CARs), and the impact of machine learning on hiring outcomes. The findings reveal that specialized digital platforms can significantly improve recruitment efficiency, with 70% of applications being received within 24 h, highlighting the platforms’s great potential for time-sensitive sectors. Additionally, pre-vetting candidates enhances hiring precision, achieving a CAR of 90% and reducing mismatches. The application of machine learning algorithms provides predictive insights that support real-time adjustments to job postings, optimizing recruitment strategies. This study contributes uniquely to the literature on cross-border digital recruitment, aligning with the European Union goals of sustainable labor mobility and economic resilience.
Suggested Citation
Bogdan Florian Socoliuc & Andrei Alexandru Suciu & Mădălina Ecaterina Popescu & Doru Alexandru Plesea & Florin Nicolae, 2025.
"Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders,"
Economies, MDPI, vol. 13(1), pages 1-27, January.
Handle:
RePEc:gam:jecomi:v:13:y:2025:i:1:p:16-:d:1564699
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