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Hybrid Framework for Investigating Digital Transformation Barriers in the Oil and Gas Sector

Author

Listed:
  • Adel Alshibani

    (Architectural Engineering and Construction Management Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Interdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum, Dhahran 31261, Saudi Arabia)

  • Saleh Musleh Alkhathami

    (Architectural Engineering and Construction Management Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia)

  • Mohammad A. Hassanain

    (Architectural Engineering and Construction Management Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Firas Tuffaha

    (Architectural Engineering and Construction Management Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Djamel Ouis

    (Architectural Engineering and Construction Management Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Interdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum, Dhahran 31261, Saudi Arabia)

  • Awsan Mohammed

    (Architectural Engineering and Construction Management Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

Abstract

The oil and gas (O&G) sector depends on information analysis, making digital transformation vital. Industry-specific factors like environmental, regulatory, operational, and security challenges shape its tech adoption. This paper identifies and examines the barriers and drivers of digital transformation in O&G through a literature review and expert insights, leading to a questionnaire assessment. Interpretive Structural Modeling (ISM) was employed to create a structural model that illustrates the interactions between these barriers, helping experts understand how to achieve digitization within the industry. The questionnaire analysis identified the key barriers based on their RII values: “Experiments requiring significant time for validation of new technologies”, “Technical complexities of new technologies”, “Security concerns”, “Insufficient strategies”, and “Organizational culture and resistance to change”. The ISM indicated that the “Technical complexities of new technologies” and the “Lack of readily deployable technologies” are the most influential barriers. Addressing these is crucial for O&G companies to unlock digitalization potential.

Suggested Citation

  • Adel Alshibani & Saleh Musleh Alkhathami & Mohammad A. Hassanain & Firas Tuffaha & Djamel Ouis & Awsan Mohammed, 2024. "Hybrid Framework for Investigating Digital Transformation Barriers in the Oil and Gas Sector," Energies, MDPI, vol. 17(23), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6151-:d:1538069
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    References listed on IDEAS

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    1. Kramat Hussain & Huaping Sun & Muhammad Ramzan & Shahid Mahmood & Muhammad Zubair Saeed, 2024. "Interpretive Structural Modeling of Barriers to Sustainable Tourism Development: A Developing Economy Perspective," Sustainability, MDPI, vol. 16(13), pages 1-32, June.
    2. Aswathy Sreenivasan & Suresh Ma & Prema Nedungadi & V. Raja Sreedharan & R. Raghu Raman, 2023. "Interpretive Structural Modeling: Research Trends, Linkages to Sustainable Development Goals, and Impact of COVID-19," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    3. Masahina Sarabdeen & Manal Elhaj & Hind Alofaysan, 2024. "Exploring the Influence of Digital Transformation on Clean Energy Transition, Climate Change, and Economic Growth among Selected Oil-Export Countries through the Panel ARDL Approach," Energies, MDPI, vol. 17(2), pages 1-18, January.
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