The Blue Economy in the Digital Age: How Information Technologies Are Transforming the Blue Economy

RAHAL, Imene and KHALIFA, zayed (2025): The Blue Economy in the Digital Age: How Information Technologies Are Transforming the Blue Economy.

Abstract

The Blue Economy represents a sustainable and integrated approach to the utilization of ocean and marine resources, aiming to foster economic growth, enhance human livelihoods, and preserve the health of marine ecosystems. As oceans play a critical role in global food security, transportation, energy production, and climate regulation, ensuring their sustainable management has become a global priority. In recent years, rapid advances in Information Technology (IT) have played a transformative role in reshaping how marine resources are monitored, managed, and utilized. Technologies such as big data analytics, artificial intelligence, satellite systems, and the Internet of Things enable real-time data collection, predictive modeling, and informed decision-making across marine sectors. This article explores the intersection between the Blue Economy and Information Technology by highlighting key digital tools, real-world applications, as well as the benefits and challenges associated with digital transformation. It argues that embracing digital innovation is essential for achieving a sustainable, resilient, and inclusive Blue Economy capable of addressing environmental pressures while supporting long-term economic development.

• Item Type: MPRA Paper
• Language: English
• Keywords: Blue Economy, Information Technology, Sustainable Development
• Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights

References

[1]OECD (2016). The Ocean Economy in 2030. OECD Publishing.

[2] Rahal, I. (2024). The Supply Chain Management for Perishables Products: A Literature Review.

[3] World Bank (2017). The Blue Economy: Increasing Long-Term Benefits of the Sustainable Use of Marine Resources.

[4]FAO (2020). The State of World Fisheries and Aquaculture. Food and Agriculture Organization of the United Nations.

[5] Imen, R., & Abdelkarim, E. (2024). Supply Chain Management for Perishable Products: A Literature Review. IUP Journal of Supply Chain Management, 21(1).

[6] UNEP (2021). Sustainable Blue Economy Framework. United Nations Environment Programme.

[7] Rahal, I., & Elloumi, A. (2024). A Multi-Objective Model for Perishable Products Supply Chain Optimization. Iranian Economic Review.

[8] European Commission (2021). Digital Solutions for a Sustainable Blue Economy.

[9] Khalifa, Z., & Rahal, I. (2024). Integration of Blockchain Technology in the Sustainable Supply Chain Management. International Science and Technology Journal, 34(1),1-23.

[10] World Bank (2017). The Blue Economy: Increasing Long-Term Benefits of the Sustainable Use of Marine Resources.

[11] Rahal, I., & Elloumi, A. (2021). Inventory management of perishable products: a case of melon in Tunisia.

[12] OECD (2016). The Ocean Economy in 2030. OECD Publishing.

[13] Rahal, I., & Elloumi, A. (2023). Climate change's effects on food Security in SubSaharan Africa (SSA).

[14] FAO (2020). The State of World Fisheries and Aquaculture. Food and Agriculture Organization of the United Nations.

[15] Rahal, I., & Elloumi, A. (2022). The analysis of the Bullwhip effect on the supply chain management of perishable products.

[16] European Commission (2021). The EU Blue Economy Report.

[17] Rahal, I., & Khalifa, Z. (2024). Optimization of Educational Supply Chain Management with Blockchain Technology. University of Zawia Journal of Engineering Sciences and Technology, 2(2), 97-107.

[18] Rahal, I. (2025). AI-EcoSCM: A Lean and Agile Framework for Economic Excellence.

[19] UNEP (2021). Sustainable Blue Economy Framework. United Nations Environment Programme.

[20] FAO & World Bank (2020). Blue Growth and Sustainable Fisheries.

[21] Rahal, I. (2023). Analyse de la gestion des stocks de produits périssables en utilisant le modèle EOQ en Tunisie.

[22] OECD (2016). The Ocean Economy in 2030. OECD Publishing.

[23] Khalifa, Z. Z., & Rahal, I. (2025). ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY IN NORTH AFRICA: INNOVATING SMART CITIES. Malaysian Journal of Industrial Technology, 9(1).

[24] FAO (2020). The State of World Fisheries and Aquaculture. Food and Agriculture Organization of the United Nations.

[25] ايمان رحال, زايد العربي, & نسرين الصواني. (2025). نحو نشر فعّال لتطبيقات SaaS في البنوك: التحديات الحالية وحلول التخفيف. almarifa journal for Humanities and Applied Sciences, 1(1), 107-119.‎

[26] World Bank (2017). The Blue Economy: Increasing Long-Term Benefits of the Sustainable Use of Marine Resources.

[27] طارق عبدالعزيز بشير الصواني, ايمان بلقاسم صغير رحال, & نسرين عبدالعزيز بشير الصواني. (2025). استكشاف دور تكنولوجيا البلوكتشين في تعزيز تكامل سلسلة التوريد والتعاون بينها. Surman Journal of Science and Technology, 7(1), 172-184.‎

[28] European Commission (2021). Digital Solutions for a Sustainable Blue Economy.

[29] ابولقاسم محمد على انفيص, حسين خليفة موسى, & ايمان بلقاسم رحال. (2024). الصناعة 4.0 وتقنية البلوكشين والبيانات الضخمة في مجال سلاسل التوريد: مراجعة تحليلية. Surman Journal of Science and Technology, 6(2), 447-458.‎

[30] UNEP (2021). Sustainable Blue Economy Framework. United Nations Environment Programme.

[31] FAO & World Bank (2020). Blue Growth and Sustainable Fisheries.

[32] KHALIFA, Z., JAMALIDDIN, M. Y., & HUSAIN, H. (2013). KM SYSTEM IN THE CONSTRUCTION FIELD: INVESTIGATING NEW KNOWLEDGE RESOURCES. Journal of Theoretical & Applied Information Technology, 52(3).

[33] Zayed Alarabi Khalifa, M. Y. J., & Husain, H. (2013). A Conceptual Framework Of Knowledge Management Implementation: Triangulation Methods For A Construction Industry. Journal of Applied Sciences Research, 9(3), 1288-1292.

[34] Elatrash, E. M., Esmail, H. M., Infeesh, S. A. A., Khalifa, Z. A., & Zaqout, N. E. (2024). Depth Examination of Deep Learning Applications in Crowd Analysis. Journal of Information Systems Research and Practice, 2(5), 2-15.

[35] Omran, N., Alrayes, M., Khlifa, Z., & Alfagi, A. Real-Time Liveness Detection Algorithm Based on Eyes Detection and Utilize Age Estimation Technique to Build a Controllable Environment.