The Urgency of Developing a Crewing Management System (CMS) for PT MCS Internasional in the Era of Maritime Digitalization
DOI:
https://doi.org/10.59888/3n7n4h62Keywords:
Crewing Management System, Digitalization, Maritime Industry, PT MCS International, Human Resource OptimizationAbstract
The maritime industry is undergoing a rapid digital transformation that is reshaping traditional operations and human resource management. PT MCS Internasional, a large-scale maritime service provider managing crew operations for multiple types of vessels and companies, faces challenges in data management, efficiency, and compliance monitoring. The complexity of handling numerous crew members and diverse client requirements demands a structured digital solution. This research aims to examine the necessity and urgency of developing a Crewing Management System (CMS) tailored to PT MCS Internasional’s operational framework. Using a qualitative descriptive method through interviews, observation, and document analysis, the study finds that the manual and semi-digital processes currently in use result in data duplication, low accuracy, and slow decision-making. Customized CMS is essential to streamline operations, integrate multiple data sources, ensure regulatory compliance, and improve competitiveness. The paper concludes that implementing a comprehensive CMS will serve as a strategic move to enhance efficiency, reliability, and scalability in managing maritime human resources.
References
Ahmed, R., Lim, J., & Chen, W. (2021). Challenges in Maritime Digitalization: A Review of Management Systems. Ocean Engineering, 238, 109-122.
Ahola, T., Kujala, J., Laaksonen, T., & Aaltonen, K. (2021). Constructing the market position of a project-based firm through reference management. International Journal of Project Management, 39(6), 649-662.
Bhattacharya, S. (2015). Sociological factors influencing the practice of incident reporting: The case of the shipping industry. Employee Relations, 37(2), 182-195.
Caesar, L. D., Cahoon, S., & Fei, J. (2015). Exploring the range of retention issues for seafarers in global shipping: Opportunities for further research. WMU Journal of Maritime Affairs, 14(1), 141-157.
Frazila, R. B., & Zukhruf, F. (2020). Development of digital transformation model for maritime industry. Procedia Computer Science, 179, 232-239.
Gavalas, D., Syriopoulos, T., & Tsatsaronis, M. (2022). Digital adoption and efficiency in the shipping industry. Maritime Economics & Logistics, 24(3), 518-540.
Gekara, V. O., & Sampson, H. (2021). The impact of digitalisation on the nature of work in crewing and manning in the maritime and port industries. Marine Policy, 130, 104577.
International Maritime Organization (IMO). (2022). Guidelines on Maritime Digitalization and Autonomous Shipping. London: IMO Publishing.
International Maritime Organization (IMO). (2023). Digital Maritime Strategy 2030: Enhancing Global Competitiveness. London: IMO Publishing.
Karlis, T., & Polemis, D. (2018). Ship management companies: Statistics, empirical analysis and future prospects. Maritime Business Review, 3(2), 130-148.
Kim, H., Park, D., & Lee, S. (2021). Development of an Integrated Crewing Management System for Maritime Operations. WMU Journal of Maritime Affairs, 20(3), 455-469.
Kitada, M., Williams, E., & Froholdt, L. L. (2018). Maritime women: Global leadership. WMU Studies in Maritime Affairs, 5, 1-287.
Lam, J. S. L., & Bai, X. (2016). A quality function deployment approach to improve maritime supply chain resilience. Transportation Research Part E: Logistics and Transportation Review, 92, 16-27.
Lee, J., & Park, Y. (2021). Big Data Analytics in Maritime Operations: A Review of Trends and Challenges. Marine Policy, 132, 104685.
Loukis, E., Janssen, M., & Mintchev, I. (2019). Determinants of software-as-a-service benefits and impact on firm performance. Decision Support Systems, 117, 38-47.
Manuel, M. E., & Shou, Y. (2022). Barriers to information sharing in maritime supply chains: An exploratory study. Maritime Economics & Logistics, 24(2), 370-389.
Munim, Z. H., Dushenko, M., Jimenez, V. J., Shakil, M. H., & Imset, M. (2020). Big data and artificial intelligence in the maritime industry: A bibliometric review and future research directions. Maritime Policy & Management, 47(5), 577-597.
Nazemzadeh, M., & Vanelslander, T. (2015). The container transport system: Selection criteria and business attractiveness for North-European ports. Maritime Economics & Logistics, 17(2), 221-245.
Nguyen, S., Chen, P. S. L., Du, Y., & Shi, W. (2019). A quantitative risk analysis model with integrated deliberative Delphi platform (RIDDP) for container shipping operational risks. Transportation Research Part E: Logistics and Transportation Review, 129, 203-227.
Panayides, P. M., & Polyviou, M. (2017). Ability, benevolence, and integrity: The formative indicators of maritime service supply chain trust. The International Journal of Logistics Management, 28(4), 1077-1099.
Progoulaki, M., & Theotokas, I. (2016). Human resource management and competitive advantage: An application of resource?based view in the shipping industry. Marine Policy, 47, 153-160.
Sanchez, A., & Nguyen, L. (2020). Digital Transformation in the Global Shipping Industry. Maritime Economics & Logistics, 22(5), 601-619.
Thai, V. V., Balasubramanyam, L., Yeoh, K. K. L., & Norsofiana, S. (2016). Revisiting the seafarer shortage problem: The case of Singapore. Maritime Policy & Management, 43(6), 874-888.
Theotokas, I., Lagoudis, I. N., & Raftopoulou, E. (2024). Human resource management challenges in maritime digitalization. Maritime Policy & Management, 51(2), 189-205.
Tseng, P. H., & Pilcher, N. (2019). Exploring the viability of an offshore transhipment hub in Taiwan. Case Studies on Transport Policy, 7(2), 450-457.
Yang, Z., Ng, A. K., Lee, P. T. W., Wang, T., Qu, Z., Rodrigues, V. S., Pettit, S., Harris, I., Zhang, D., & Lau, Y. Y. (2018). Risk and cost evaluation of port adaptation measures to climate change impacts. Transportation Research Part D: Transport and Environment, 61, 444-458.
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Copyright (c) 2022 Indah Purnama Sari, Raden Novi Andri Setiawan, Endah Nur Widhianingsih, Hendra Purnomo, Susiarni Magdalena
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