EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization

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.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-10-14
DOI
https://doi.org/10.3390/su16208887
Citations
1
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization

Florin Nicolae, Doru Pleșea, Bogdan Florian Socoliuc, Andrei Alexandru Suciu
1 citations
Sustainability
Technology Assessment and Management
0.36
article

EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization

Florin Nicolae, Doru Pleșea, Bogdan Florian Socoliuc, Andrei Alexandru Suciu
article en
1 citations

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.

SustainabilityVol. 16(20)
Mircea cel Batran Naval Academy (RO), Bucharest University of Economic Studies (RO)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Technology Assessment and Management
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.