Digital Human Resource Management and Technology Adoption in Sustainable Digital Shipping

Authors

  • Brilian Andika Perkasa Senior high school of 2 Tambun Selatan

DOI:

https://doi.org/10.55123/ijisit.v2i1.102

Keywords:

Digital HRM, Maritime Workforce, Big Data Analytics, Internet of Things, Technology Acceptance

Abstract

The rapid digital transformation of the maritime industry, driven by Big Data analytics, Internet of Things (IoT), and computer science applications, has significantly reshaped human resource management (HRM) practices in shipping and port operations. This study examines how digital HRM frameworks, social technology platforms, and technology acceptance factors influence maritime workforce development and sustainability. Using a qualitative research approach, data were collected from maritime experts, lecturers, and graduates to capture diverse professional and academic perspectives on digital workforce readiness. The findings reveal that digital competency development, data-driven performance monitoring, and social connectivity technologies substantially enhance workforce efficiency, operational continuity, and organizational adaptability. Thematic analysis indicates that technology acceptance, digital skill readiness, and integrated HRM systems are critical determinants of successful digital transformation in maritime organizations. Cross-group comparisons confirm strong consensus regarding the urgency of integrating digital technologies into maritime workforce development. This research contributes to maritime economy and social management literature by proposing an evidence-based digital HRM framework aligned with emerging autonomous and data-driven shipping operations. The findings provide practical implications for maritime education, workforce planning, and policy development to support sustainable and technologically competent maritime human capital.

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References

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Published

2025-06-30

How to Cite

Brilian Andika Perkasa. (2025). Digital Human Resource Management and Technology Adoption in Sustainable Digital Shipping. IJISIT: International Journal of Computer Science and Information Technology, 2(1), 75–82. https://doi.org/10.55123/ijisit.v2i1.102

Issue

Vol. 2 No. 1 (2025): June 2025

Section

Articles

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Copyright (c) 2025 Brilian Andika Perkasa

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