Makale detayı · 2022
A statistical analysis-based Bayesian Network model for assessment of mobbing acts on ships
Dergi
MARITIME POLICY & MANAGEMENTISSN 0308-8839
ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.
- Yıl
- 2022
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı MARITIME POLICY & MANAGEMENT
- Katalog eşleşmesi (ISSN) Maritime Policy and Management
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
Mobbing is a fundamental problem that disrupts the organization’s structure and negatively affects its employees’ safe work environment. The most critical issue in combating mobbing is increasing the awareness of victims, businesses and society about this problem. The importance of identifying this problem, which will adversely affect the professional life in the maritime profession, as in every professional group, is obvious. This study offers a statistical analysis-based dynamic Bayesian network to model seafarers’ mobbing acts in merchant ships. In this research, measures against mobbing in the maritime industry are also recommended after determining the most frequent mobbing elements in ships. It is observed that the seafarers who have just stepped into onboard are more exposed to mobbing; in contrast, mobbing attacks experienced by seafarers decrease with an increase in age. The most frequent mobbing behaviours are listed as: “I am continually given new tasks“, “My superiors restrict the opportunity for me to express myself” and ”Unfounded rumours about me is circulated in the ship”. The study reveals that while the maritime authorities such as PSC and the ITF have limited capabilities for solving mobbing related problems, the companies may have a crucial role to play in the process.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
29 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 42 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- A holistic safety assessment for cargo holds and decks fire & explosion risks under fuzzy Bayesian network approach 2024
- A holistic safety assessment for cargo holds and decks fire & explosion risks under fuzzy Bayesian network approach 2024
- Improved Z-number based Bayesian network modelling to predict cyber-attack risk for maritime autonomous surface ship (MASS) 2025
- Improved Z-number based Bayesian network modelling to predict cyber-attack risk for maritime autonomous surface ship (MASS) 2025
- Improved Z-number based Bayesian network modelling to predict cyber-attack risk for maritime autonomous surface ship (MASS) 2025
- Predicting human reliability for emergency fire pump operational process on tanker ships utilising fuzzy Bayesian Network CREAM modelling 2024
- Predicting human reliability for emergency fire pump operational process on tanker ships utilising fuzzy Bayesian Network CREAM modelling 2024
- Predicting human reliability for emergency fire pump operational process on tanker ships utilising fuzzy Bayesian Network CREAM modelling 2024
- Predicting human reliability for emergency fire pump operational process on tanker ships utilising fuzzy Bayesian Network CREAM modelling 2024
- Investigating the influence of human errors in master-pilot information exchange on maritime accident risk during pilotage 2024