Harnessing Artificial Intelligence to Support Economic Growth in Northern Nigeria amidst Security Challenges

  • Ibrahim S. Muhammad Department of Economics Shehu Shagari University of Education, Sokoto, Nigeria
  • Yahaya Isah Shehu Department of Computer Science Shehu Shagari University of Education, Sokoto, Nigeria
DOI: https://doi.org/10.5281/zenodo.13997776
Keywords: Artificial Intelligence, Challenges, Economic Growth, Security, Northern Nigeria

Abstract

Security is an important instrument for economic growth and sustainability of any nation. Similarly, the use of Artificial Intelligence (AI) in the context of economic growth of any country is a critical component of modern time. The paper digs into the numerous uses of AI and its transformational impact on several sectors in the northern part of Nigeria. The paper  investigate how AI might work as a driver for long-term economic growth by tackling the existing security challenges especially in Northern part of the country. This paper delves into identifying the potentials of AI in rejuvenating several businesses, while also addressing security issues. The study examine how AI applications may drive economic growth and suggest novel solutions to the security challenges inhibiting progress in Northern Nigeria.It is recommended that, Northern Nigeria should prioritize investment in AI infrastructure and technology development to improve data analytics, machine learning, and AI applications

Downloads

Download data is not yet available.

References

Altabef, W., & Gaonkar, D. (2017). Silver Screen to Silver Bullet: A Cultural Explanation for Nigeria’s Economic Growth.
Amalu, T., Oko, U., Igwe, I., Ehugbo, U., Okeh, B., & Duluora, E. (2021). Tourism industry effects on socio-cultural activities of host communities: evidence from Cross River State, Nigeria. GeoJournal, 86, 1691-1703.
Asheim, B., Grillitsch, M., & Trippl, M. (2017). Smart specialization as an innovation-driven strategy for economic diversification: Examples from Scandinavian regions. In Advances in the theory and practice of smart specialization (pp. 73-97). Academic Press.
Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial marketing management, 92, 178-189.
Balogun, A. L., Marks, D., Sharma, R., Shekhar, H., Balmes, C., Maheng, D., ... & Salehi, P. (2020). Assessing the potentials of digitalization as a tool for climate change adaptation and sustainable development in urban centres. Sustainable Cities and Society, 53, 101888.
Bennett Moses, L., & Chan, J. (2018). Algorithmic prediction in policing: assumptions, evaluation, and accountability. Policing and society, 28(7), 806-822.
Bristow, G., & Healy, A. (2018). Innovation and regional economic resilience: an exploratory analysis. The annals of regional science, 60(2), 265-284.
Conz, E., Denicolai, S., & Zucchella, A. (2017). The resilience strategies of SMEs in mature clusters. Journal of Enterprising Communities: People and Places in the Global Economy, 11(1), 186-210.
De Roest, K., Ferrari, P., & Knickel, K. (2018). Specialisation and economies of scale or diversification and economies of scope? Assessing different agricultural development pathways. Journal of Rural Studies, 59, 222-231.
Feijóo, C., Kwon, Y., Bauer, J. M., Bohlin, E., Howell, B., Jain, R., & Xia, J. (2020). Harnessing artificial intelligence (AI) to increase wellbeing for all: The case for a new technology diplomacy. Telecommunications Policy, 44(6), 101988.
Jarrett, A., & Choo, K. K. R. (2021). The impact of automation and artificial intelligence on digital forensics. Wiley Interdisciplinary Reviews: Forensic Science, 3(6), e1418.
Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2023). Understanding the potential applications of Artificial Intelligence in Agriculture Sector. Advanced Agrochem, 2(1), 15-30.
Kang, S., Hao, X., Du, T., Tong, L., Su, X., Lu, H. & Ding, R. (2017). Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice. Agricultural Water Management, 179, 5-17.
Korinek, A., & Stiglitz, J. E. (2021). Artificial intelligence, globalization, and strategies for economic development (No. w28453). National Bureau of Economic Research.
Lebdioui, A. A. (2019). Economic diversification and development in resource-dependent economies: Lessons from Chile and Malaysia (Doctoral dissertation, University of Cambridge).
Muoghalu, L. N., & Akanwa, A. O. (2021). Ecological Intensification for Sustainable Agriculture: The Nigerian Perspective. Ecological Intensification of Natural Resources for Sustainable Agriculture, 521-564.
Nasidi, M., Agu, R., Walker, G., & Deeni, Y. (2019). Sweet sorghum: agronomic practice for food, animal feed and fuel production in Sub-Saharan Africa. Sweet sorghum: characteristics, cultivation and uses.
Pillai, S. V., & Kumar, R. S. (2021). The role of data-driven artificial intelligence on COVID-19 disease management in public sphere: A review. Decision, 48, 375-389.
Sayler, K. M. (2019). Artificial intelligence and national security. Congressional Research Service, 45178.
Shaikh, T. A., Rasool, T., & Lone, F. R. (2022). Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming. Computers and Electronics in Agriculture, 198, 107119.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 1-10.
Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893-1924.
Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journ
Published
2024-10-27
How to Cite
S. Muhammad, I., & Isah Shehu, Y. (2024). Harnessing Artificial Intelligence to Support Economic Growth in Northern Nigeria amidst Security Challenges. GPH-International Journal of Business Management, 7(09), 71-78. https://doi.org/10.5281/zenodo.13997776
Issue
Vol 7 No 09 (2024): GPH-International Journal of Business Management
Section
Articles

Copyright (c) 2024 GPH-International Journal of Business Management

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The authors and co-authors warrant that the article is their original work, does not infringe any copyright, and has not been published elsewhere. By submitting the article to GPH-International Journal of Business Management, the authors agree that the journal has the right to retract or remove the article in case of proven ethical misconduct.