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Operational research and business intelligence as drivers for digital transformation

Author

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  • Pavlos Delias

    (International Hellenic University)

  • Fotis C. Kitsios

    (University of Macedonia)

Abstract

Digital transformation has become a crucial phenomenon, impacting society and industries through the implementation of digital technologies. It involves organizations adapting to gain a competitive edge, sense disruptions, and reorganize their business models. Challenges include the need for new strategies and skills, while opportunities arise from increased organizational performance and value creation through data utilization and innovative solutions. Overcoming inertia and resistance are critical in achieving successful digital transformation. Operational research plays a significant role in understanding and addressing these challenges and opportunities in the digital age. This article introduces the Special Issue on ‘Operational Research and Business Intelligence as Drivers for Digital Transformation’ and briefly discuss its relevance and the works it includes.

Suggested Citation

  • Pavlos Delias & Fotis C. Kitsios, 2023. "Operational research and business intelligence as drivers for digital transformation," Operational Research, Springer, vol. 23(3), pages 1-8, September.
    • Handle: RePEc:spr:operea:v:23:y:2023:i:3:d:10.1007_s12351-023-00784-8
    DOI: 10.1007/s12351-023-00784-8
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    References listed on IDEAS

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    1. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Pavlos Delias & Nikolaos Matsatsinis, 2009. "A genetic approach for strategic resource allocation planning," Computational Management Science, Springer, vol. 6(3), pages 269-280, August.
    3. Youngjin Yoo & Ola Henfridsson & Kalle Lyytinen, 2010. "Research Commentary ---The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research," Information Systems Research, INFORMS, vol. 21(4), pages 724-735, December.
    4. Eugenia Babiloni & Ester Guijarro & Juan R. Trapero, 2023. "Stock control analytics: a data-driven approach to compute the fill rate considering undershoots," Operational Research, Springer, vol. 23(1), pages 1-25, March.
    5. Ezzatollah Asgharizadeh & Amir Daneshvar & Mahdi Homayounfar & Fariba Salahi & Mohsen Amini Khouzani, 2023. "Modeling the supply chain network in the fast-moving consumer goods industry during COVID-19 pandemic," Operational Research, Springer, vol. 23(1), pages 1-32, March.
    6. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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