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Digital Transformation Success Factors Evaluation in Energy Industry

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Intelligent Systems in Digital Transformation

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 549))

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Abstract

Recently, developments in technology have caused a new wave that affects the whole world. The emerging technologies have initiated the digital transformation process. Companies have made efforts to meet the digital demands and gain a share in the digital market and ensure their sustainability in the digital ecosystem. Digital transformation has become a necessity rather than an optional process. Digital is the key driver in energy industry to increase workforce efficiency and productivity, to make faster and better decisions, and to reduce costs. This study aims to evaluate the digital transformation success factors in energy industry. The success factors are obtained through a detailed literature review and experts’ opinions. Three experts are determined based on their experiences, positions in the firm, knowledge about digital transformation and its applications in the energy industry and their academic backgrounds. Fuzzy cognitive map (FCM) approach is employed to analyze the obtained digital transformation success factors with the assumption of relationship between criteria.

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Acknowledgement

This work is financially supported by Galatasaray University Research Fund Grant Number FOA-2022-1092.

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Authors and Affiliations

  1. Decision Analysis Application and Research Center, Galatasaray University, Ortakoy, Istanbul, Turkey

    Burak Berkay Havle & Mehtap Dursun

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  1. Burak Berkay Havle
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Correspondence to Mehtap Dursun .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Maçka, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Bahcesehir University, Besiktas, Istanbul, Turkey

    Elif Haktanır

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Havle, B.B., Dursun, M. (2023). Digital Transformation Success Factors Evaluation in Energy Industry. In: Kahraman, C., Haktanır, E. (eds) Intelligent Systems in Digital Transformation. Lecture Notes in Networks and Systems, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-16598-6_7

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