Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders
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 resp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Economies |
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| Online Access: | https://www.mdpi.com/2227-7099/13/1/16 |
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| author | Bogdan Florian Socoliuc Andrei Alexandru Suciu Mădălina Ecaterina Popescu Doru Alexandru Plesea Florin Nicolae |
| author_facet | Bogdan Florian Socoliuc Andrei Alexandru Suciu Mădălina Ecaterina Popescu Doru Alexandru Plesea Florin Nicolae |
| author_sort | Bogdan Florian Socoliuc |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0fbd93f29e3c40aa94fbe9062a255637 |
| institution | Kabale University |
| issn | 2227-7099 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Economies |
| spelling | doaj-art-0fbd93f29e3c40aa94fbe9062a2556372025-01-24T13:30:02ZengMDPI AGEconomies2227-70992025-01-011311610.3390/economies13010016Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian StakeholdersBogdan Florian Socoliuc0Andrei Alexandru Suciu1Mădălina Ecaterina Popescu2Doru Alexandru Plesea3Florin Nicolae4Business Administration Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaCybernetics and Economic Statistics Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaThe Faculty of Economic Cybernetics, Statistics and Informatics, The Bucharest University of Economic Studies, 010552 Bucharest, RomaniaBusiness Administration Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, Romania“Mircea cel Batran” Naval Academy, 900218 Constanta, RomaniaThis 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.https://www.mdpi.com/2227-7099/13/1/16digital recruitmentlabor mobilitylabor shortagesNorway shipyardsmaritime industry |
| spellingShingle | Bogdan Florian Socoliuc Andrei Alexandru Suciu Mădălina Ecaterina Popescu Doru Alexandru Plesea Florin Nicolae Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders Economies digital recruitment labor mobility labor shortages Norway shipyards maritime industry |
| title | Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders |
| title_full | Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders |
| title_fullStr | Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders |
| title_full_unstemmed | Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders |
| title_short | Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders |
| title_sort | shipyard manpower digital recruitment a data driven approach for norwegian stakeholders |
| topic | digital recruitment labor mobility labor shortages Norway shipyards maritime industry |
| url | https://www.mdpi.com/2227-7099/13/1/16 |
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