Abstract
This study explores a range of methodological approaches in maritime research, including qualitative, quantitative, and mixed-methods designs. Qualitative methods provide in-depth insights into the lived experiences of seafarers, while quantitative approaches leverage statistical tools and large datasets to optimize maritime operations. Mixed-methods research integrates both paradigms, offering a more holistic understanding of complex maritime phenomena. For instance, a mixed-methods framework can effectively assess the impact of emerging technologies on seafarer well-being. This research also evaluates various data collection techniques and incorporates advanced analytical tools, such as machine learning, to enhance data interpretation. Ethical considerations, including privacy protection and informed consent, are prioritized throughout the research process. Furthermore, the study underscores the transformative potential of Industry 4.0 technologies—such as artificial intelligence, blockchain, and the Internet of Things (IoT)—in reshaping maritime practices. By synthesizing diverse research methodologies, scholars can gain deeper insights into the evolving maritime landscape and address its emerging challenges more effectively.