Structured Scientific Methodologies in Maritime Product and Service Innovation: Enhancing Evidence-Based Decision-Making

Authors

  • Nooh Isman Sarante Sekolah Tinggi Ilmu Pelayaran Jakarta, North Jakarta
  • Putri Agil Alamanda Sekolah Tinggi Ilmu Pelayaran Jakarta, North Jakarta
  • Ravinda Dwi A. S. Sekolah Tinggi Ilmu Pelayaran Jakarta, North Jakarta
  • Renanda Aurelia Putri Sekolah Tinggi Ilmu Pelayaran Jakarta, North Jakarta
  • Rizky Nu'aldira Sekolah Tinggi Ilmu Pelayaran Jakarta, North Jakarta
  • ⁠Suwarti ⁠Suwarti Sekolah Tinggi Ilmu Pelayaran Jakarta, North Jakarta

DOI:

https://doi.org/10.61132/digitalinnovation.v2i2.212

Keywords:

Maritime Innovation, Scientific Methodologies, Evidence-Based Decision-Making, Risk Reduction, Strategic Leadership

Abstract

The maritime industry is undergoing rapid transformation, requiring systematic, evidence-based methodologies to improve product and service innovation success rates. Traditionally, maritime businesses have relied on intuition-based decision-making, leading to inefficiencies, increased risks, and inconsistent innovation outcomes. This study investigates the role of structured scientific methodologies in maritime innovation management, emphasizing how systematic approaches enhance decision accuracy, minimize risk, and improve long-term sustainability. This research provides original value by evaluating the effectiveness of structured scientific approaches in maritime innovation, an area where limited studies have explored the intersection of philosophy, leadership, and evidence-based decision-making. The study addresses the following research questions: To what extent do structured scientific methodologies improve product and service innovation success? How do industry leaders, lecturers, and students perceive the role of evidence-based decision-making in innovation?Using qualitative research methods, the study collected data from maritime experts, lecturers, and postgraduate students through semi-structured interviews and document analysis, followed by thematic and comparative analysis. Results indicate that structured methodologies significantly improve innovation outcomes, but barriers such as industry reluctance and lack of competency development hinder adoption. The study concludes that integrating scientific reasoning into maritime leadership training can enhance innovation success, mitigate risk, and foster a culture of evidence-based strategic management.

Downloads

Download data is not yet available.

References

Akpinar, H., & Ozer-Caylan, D. (2021). Managing complexity in maritime business: Understanding the smart changes of globalization. Competitiveness Review: An International Business Journal, 32(4), 582–599.

Baş, M., Er, I. D., Çiçek, I., & Sağ, O. K. (2002). ITUMF Maritime English Education & Training Model.

Cascetta, E. (2013). Transportation systems engineering: theory and methods (Vol. 49). Springer Science & Business Media.

Cicek, K., Akyuz, E., & Celik, M. (2019). Future skills requirements analysis in maritime industry. Procedia Computer Science, 158, 270–274.

Creswell, J. W., & Clark, V. L. P. (2011). Choosing a mixed methods design. In Designing and Conducting Mixed Methods Research (pp. 53–106). Sage Publications, Inc.

de la Peña Zarzuelo, I., Soeane, M. J. F., & Bermúdez, B. L. (2020). Industry 4.0 in the port and maritime industry: A literature review. Journal of Industrial Information Integration, 20, 100173.

Demirel, E. (2020). Maritime education and training in the digital era. Universal Journal of Educational Research.

Dyagileva, O., Goridko, N., Popova, H., Voloshynov, S., & Yurzhenko, A. (2020). Ensuring sustainable development of education of future maritime transport professionals by means of network interaction.

Issa, M., Ilinca, A., & Martini, F. (2022). Ship energy efficiency and maritime sector initiatives to reduce carbon emissions. Energies, 15(21), 7910.

Laghari, A. A., Wu, K., Laghari, R. A., Ali, M., & Khan, A. A. (2021). A review and state of art of Internet of Things (IoT). Archives of Computational Methods in Engineering, 1–19.

Manning, G., & Curtis, K. (2019). The art of leadership. McGraw-Hill Education.

Pantouvakis, A., & Vlachos, I. (2020). Talent and leadership effects on sustainable performance in the maritime industry. Transportation Research Part D: Transport and Environment, 86, 102440.

Plaza-Hernández, M., Gil-González, A. B., Rodríguez-González, S., Prieto-Tejedor, J., & Corchado-Rodríguez, J. M. (2021). Integration of IoT technologies in the maritime industry. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, 107–115.

Rosenbach, W. E., Taylor, R. L., & Youndt, M. A. (2018). Contemporary issues in leadership. Routledge.

Saldana, J. (2014). Thinking qualitatively: Methods of mind. SAGE publications.

Selkou, E., & Roe, M. (2022). Globalisation, policy and shipping: fordism, post-fordism and the European Union maritime sector. Edward Elgar Publishing.

Theotokas, I., Lagoudis, I. N., & Kotsiopoulos, N. (2014). Leadership profiling of ocean going ship masters. The Asian Journal of Shipping and Logistics, 30(3), 321–343.

Toriia, T. G., Epikhin, A. I., Panchenko, S. V, & Modina, M. A. (2023). Modern educational trends in the maritime industry. SHS Web of Conferences, 164, 60.

Zaderei, A. (2020). Ensuring the sustainability of the human resources management system of maritime industry enterprises. Access: Access to Science, Business, Innovation in Digital Economy, 1(2), 146–156.

Downloads

Published

2025-02-03

How to Cite

Nooh Isman Sarante, Putri Agil Alamanda, Ravinda Dwi A. S., Renanda Aurelia Putri, Rizky Nu’aldira, & ⁠Suwarti ⁠Suwarti. (2025). Structured Scientific Methodologies in Maritime Product and Service Innovation: Enhancing Evidence-Based Decision-Making. Digital Innovation : International Journal of Management, 2(2), 42–57. https://doi.org/10.61132/digitalinnovation.v2i2.212