Quantitative Risk Assessment of Seafarers' Nonfatal Injuries Due to Occupational Accidents Based on Bayesian Network Modeling.

Reducing the incidence of seafarers' workplace injuries is of great importance to shipping and ship management companies. The objective of this study is to identify the important influencing factors and to build a quantitative model for the injury risk analysis aboard ships, so as to provide a decision support framework for effective injury prevention and management. Most of the previous research on seafarers' occupational accidents either adopts a qualitative approach or applies simple descriptive statistics for analyses. In this study, the advanced method of a Bayesian network (BN) is used for the predictive modeling of seafarer injuries for its interpretative power as well as predictive capacity. The modeling is data driven and based on an extensive empirical survey to collect data on seafarers' working practice and their injury records during the latest tour of duty, which could overcome the limitation of historical injury databases that mostly contain only data about the injured group instead of the entire population. Using the survey data, a BN model was developed consisting of nine major variables, including "PPE availability," "Age," and "Experience" of the seafarers, which were identified to be the most influential risk factors. The model was validated further with several tests through sensitivity analyses and logical axiom test. Finally, implementation of the result toward decision support for safety management in the global shipping industry was discussed.

The key challenges and critical success factors of blockchain implementation: Policy implications for Singapore's maritime industry.

Blockchain has the potential to improve the efficiency and transparency of maritime businesses and operations. Nevertheless, few studies have been conducted to identify the key challenges and critical success factors (CSFs) of blockchain implementation in the maritime industry. A case study approach based on Singapore's maritime industry is adopted. Four interviews are conducted to establish the face validity of the survey questionnaire before data are collected from 30 maritime professionals from Singapore's maritime industry. In addition to analytic hierarchical process (AHP), a fishbone diagram and PESTEL analysis are also adopted to organize and discuss the results. The results show that there are six key challenges and six CSFs for blockchain implementation. Using a fishbone diagram, the six identified challenges along with 13 personal concerns are categorized into five dimensions related to people, methods, organization, external environment, and technology. The CSFs are sufficient capital, staff training, ease of local legislation, support from the shipping community, support from the senior management, and professional consultation and assistance. This study implicates marine policy formulation in relation to subsidies and investments, blockchain talent and knowledge acquisition, and workforce training and education to accelerate blockchain implementation in the maritime industry.

Core Competencies for Maritime Business Educators in the Digital Era.

In light of digitalization, the objectives of this study are to (1) identify the emerging, core competencies of maritime business educators (MBE) and (2) examine their effects on perceived teaching performance. A systematic review of the contemporary literature was first performed to build a competency framework. Subsequently, an online survey was administered to 196 faculty members of the top 10 leading maritime universities as identified from the Worldwide Maritime School Rankings produced by Hong Kong Polytechnic University. The collected data were analyzed using Exploratory Factor Analysis to extract the main competencies of MBE. The results uncovered five key competencies from 22 sub-competencies. Thereafter, Hierarchical Regression Modeling was used to examine the effects of the key competencies on perceived teaching performance. After controlling for teaching experience and job position, it was found that the five competency requirements, in descending order of their importance, have significant positive effects on teaching performance: Pedagogy, Maritime, Interpersonal, Business and Digital. Academically, this study consolidates the literature and identifies the emerging core competencies that are expected from MBE in the digital era. The study also implicates education policy formulation, offering directions for institutions to allocate their resources, develop suitable training and assessment programs, and facilitate benchmarking.