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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Creating a Workforce Upskilling Model to Address Emerging Technologies in Energy and Oil and Gas Industries

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Abstract

This paper explores the development of a workforce upskilling model designed to address the challenges posed by emerging technologies in the energy, oil, and gas industries. With rapid technological advancements such as automation, artificial intelligence, and blockchain transforming industry operations, there is an increasing need for workforce adaptation. However, significant skill gaps exist, with traditional roles evolving and new competencies required to navigate these changes. The proposed model emphasizes a strategic, structured approach to upskilling that combines traditional training, digital tools, and on-the-job learning, underpinned by industry collaboration and the use of advanced learning technologies. The paper also discusses the theoretical frameworks relevant to adult learning and technology adoption, which inform the design of effective workforce development programs. Additionally, challenges such as resistance to change, financial constraints, technological limitations, and cultural barriers are critically examined, alongside strategies for overcoming these hurdles. Ultimately, the model aims to empower the workforce to meet modern industry demands, ensuring sustainability, safety, and operational efficiency. The paper concludes with actionable recommendations for industry leaders and identifies areas for future research, particularly concerning the evolving impact of continuous technological advancements on workforce dynamics.

How to Cite This Article

Chinedum Oscar Okuh, Emmanuella Onyinye Nwulu, Elemele Ogu, Peter Ifechukwude Egbumokei, Ikiomoworio Nicholas Dienagha, Wags Numoipiri Digitemie (2024). Creating a Workforce Upskilling Model to Address Emerging Technologies in Energy and Oil and Gas Industries . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(1), 1327-1339. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.1.1327-1339

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