ARTIFICIAL INTELLIGENCE (AI) AND SUSTAINABLE PRODUCTIVITY IN IMO STATE OIL INDUSTRY

Dr. Ogwuche Gabriel Shaibu, Dr. R.E.V. Mbaegbu, Chizomam Kelechi Zion-Ngoka

Abstract


 

The study was carried out to examine the relationship between Artificial Intelligence (AI) and Sustainable Productivity in Imo State Oil Industry. Specifically, the objectives of the study were to examine how AI enhances quality service delivery and output levels in Imo State oil industry. The study adopted the cross sectional survey research design. The target population for this study comprised 40 managers from 10 oil firms in Imo State, which was purposefully adopted as the sample size. Data were collected through primary (questionnaire). A structured questionnaire designed in a modified four point Likert Scale format was adopted for the collection of data. Spearman Ranking (r) was used for the test of hypotheses via Statistical Package for Social Science (SPSS) Version 25.0. Findings revealed that there is a significant relationship between AI and sustainable productivity in Imo State oil industry. The study concluded that AI enhances sustainable productivity. The study recommended that the management of oil firms in Imo State oil industry should prioritize training programmes that equip employees with the necessary skills to work alongside AI technologies. This includes understanding AI tools, data analysis, and machine learning principles as such would enhance their quality service delivery: Also, management of oil firms in Imo State oil industry should encourage a workplace culture that embraces innovation and can facilitate the acceptance of AI technologies to promote their output levels.

Keywords: Artificial Intelligence, Sustainable Productivity, Quality Service Delivery and Output Level.

 


Full Text:

PDF

References


Adenikinju, A.A. (2019). The Nigerian oil and gas industry: An overview. Journal of Energy and Natural Resources, 8(2), 1-12.

Akinwale, A. O., Oyeleke, O.O., Oyeleran. A. & Charles, O.S. (2020). Artificial intelligence in the Nigerian oil and gas industry: Challenges and opportunities. Journal of Petroleum Science and Engineering, 195, 107624.

Al-Sumaiti, A. S., Abdullah, S.A., Abdulrahma, A.A. & Bader, M.A. (2018). Artificial intelligence in the oil and gas industry: A review. Journal of Artificial Intelligence Research, 63, 511-534.

Anand, V. (2023). How AI can revolutionize the oil and gas industry. https://www.linkedin.com/pulse/how-ai-can-revolutionize-oil-gas-industry-vikram-anand

Ben-Naceur, K. (2019). How the oil and gas industry is contributing to sustainability. https://jpt.spe.org/how-oil-and-gas-industry-contributing-sustainability

Bera, S., Sa, B., Srimanta, S. & Das, A.K. (2020). Application of artificial intelligence in oil and gas industry: A review. Journal of Intelligent Information Systems, 57(2), 247-265.

Birhan, M. (2024). Artificial intelligence’s effects on enhancing productivity. Acta Scientific Computer Sciences, 6(2), 15-19

Brooker, J. (2023). Transforming operations and enhancing sustainability in oil and gas.https://energy-oil-gas.com/news/transforming-operations-and-enhancing-sustainability-in-oil-and-gas/

Craciu, C. (2003). The improvement of services quality. International Journal of Academic Research in Businessand Social Sciences, 3, 408 – 414

Ekeocha, C. N. (2018). Challenges facing the Nigerian oil and gas industry. Journal of Business and Economic Research, 16(2), 1-10.

Elliot, K. N. &Damingo, L. A. (2024). Application of artificial intelligence in the oil and gas industry. International Research Journal of Modernization in Engineering, Technology and Science, 6(5), 9244-9250

Garg, S., Haralayya, B., AL Qudah, M., Maguluri, L. P. &Szeberényi, A. (2024). The impact of artificial intelligence on management productivity and efficiency. Business, Management and Economics Engineering, 22(1), 424-434

Hartono, R., Rudi, H., Mohammad, N.K. &Indra, S. (2020). Data analytics in oil and gas industry: A review. Journal of Data Science and Analytics, 5(1), 1-14.

Heylighen, F. & Joslyn, C. (1992). What is systems theory? http://pespmc1.vub.ac.be/SYSTHEOR.html

IEA (2020). The Oil and Gas Industry in Energy Transitions, IEA, Paris https://www.iea.org/reports/the-oil-and-gas-industry-in-energy-transitions, Licence: CC BY 4.0

Iteke, O. (2020). Imo State oil and gas industry: An overview. Journal of Environmental Science and Health, Part C, 38, 115-126.

Izionworu, I. Z. & Maxwell, O. U. (2017). Effective service delivery through quality managementsystem (QMS) in oil and gas servicing companies, a case study of selected firms, Port Harcourt. Chemistry International 3(2), 106-113

Kamal, M., Amar, W., Mohammed, A. &Hisham, K. (2019). Artificial intelligence in oil and gas industry: Applications and challenges. Journal of Petroleum Exploration and Production Technology, 9(3), 1537-1546.

Lettenmeier, M.,, Rohn, H., Liedtke, C., Schmidt-Bleek, F., Bienge,K., Urbaneja, D. M. &Buddenberg, J. (2009). Resource productivity in 7 steps: How to develop eco-innovative products and services and improve their material footprint. Wuppertal Institute for Climate, Environment and Energy

Li, Z., Li, Y. Wang, J. & Li, Q. (2019). Predictive maintenance in oil and gas industry using machine learning. Journal of Intelligent Manufacturing, 30(4), 1537-1546.

Liao, Q., Li, D., Zhang, K & Chang, H. (2023). Applications of artificial intelligence in the oil and gas industry. Frontiers in Earth Science, 11(1), 34-45, 2023.

Mobayo, J. O., Aribisala, A. F., Yusuf, S. O. &Belgore, U. (2021). Artificial intelligence: Awareness and adoption for effective facilities management in the energy sector. Journal of Digital Food, Energy & Water Systems, 2(2), 1-18.

Mohammed, K. &Shehu, A. (2023). A review of artificial intelligence (AI) challenges and future prospects of explainable ai in major fields: A case study of Nigeria. Open Journal of Physical Science, 4(1), 01-18

Odusote, O. (2017). The Nigerian oil and gas industry: A review. Journal of Energy and Natural Resources, 6(1), 1-15.

Okoro, E. (2020). Challenges facing the Nigerian oil and gas industry. Journal of Business and Economic Research, 18(1), 1-12.

Oladipo, O. (2022). Nigeria’s oil sector looks on as robotics adoption picks up. https://businessday.ng/energy/oilandgas/article/nigerias-oil-sector-looks-as-robotics-adoption-picks-up/

Saam, M. (2024). The impact of artificial intelligence on productivity and employment: How can we assess it and what can we observe? Intereconomics: Review of European Economic Policy, 59(1), 22–27

Shi, X., Mens, W., Li, J. & Li, Q. (2018). Optimization of drilling and extraction processes using artificial intelligence. Journal of Petroleum Science and Engineering, 165, 457-466.

Srivastava, S. (2024). Unleashing the potential of artificial intelligence in the oil and gas industry – 10 use cases, benefits, examples. https://appinventiv.com/blog/artificial-intelligence-in-oil-and-gas-industry/

Wang, Y., Wang, J. & Li, Y. (2020). Energy efficiency optimization in oil and gas industry using artificial intelligence. Journal of Cleaner Production, 287, 121745.

Waqar, A., Othman, I., Shafiq, N., &Mansoor, M. S. (2023). Applications of AI in oil and gas projects towards sustainable development: a systematic literature review. Artificial intelligence review, 1–28. Advance online publication. https://doi.org/10.1007/s10462-023-10467-7


Refbacks

  • There are currently no refbacks.