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International Conference on Research Challenges in Information Science

RCIS 2022: Research Challenges in Information Science pp 626–634Cite as

Integrated Approach to Assessing the Progress of Digital Transformation by Using Multiple Objective and Subjective Indicators

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 446))

Abstract

Digital transformation affects not only IT and innovative business models and processes, it is significantly influenced by the skills and competence of top managers and new requirements and expectations of customers. The basic driver of ongoing digital transformation in any organization is performed with the active support of the Chief Information Officer, Chief Information Security Officer, Chief Technology Officer, Chief Digital Officer, or their cooperation work. Depending on the organization/company size, the number of these chiefs could be reduced and corresponding responsibilities merged. To this end, it is necessary to identify the main responsibilities and to clarify the existing hierarchy between them. To assess the progress of the digitalization process, the article proposes a multi-criteria mathematical model, the essence of which is the consideration of both objective and subjective criteria. The realized numerical application through five objective and eight subjective criteria demonstrate the applicability of described approach.

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Acknowledgment

This work is supported by the Bulgarian National Science Fund by the project “Mathematical models, methods and algorithms for solving hard optimization problems to achieve high security in communications and better economic sustainability”, KP-06-N52/7/19-11-2021.

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Authors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113, Sofia, Bulgaria

    Daniela Borissova, Zornitsa Dimitrova & Naiden Naidenov

  2. Laboratory of Telematics, Bulgarian Academy of Sciences, 1113, Sofia, Bulgaria

    Daniela Borissova & Radoslav Yoshinov

Authors
  1. Daniela Borissova
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  2. Zornitsa Dimitrova
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  3. Naiden Naidenov
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  4. Radoslav Yoshinov
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Corresponding author

Correspondence to Daniela Borissova .

Editor information

Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Renata Guizzardi

  2. University of Geneva, CUI, Carouge, Switzerland

    Jolita Ralyté

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Xavier Franch

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Borissova, D., Dimitrova, Z., Naidenov, N., Yoshinov, R. (2022). Integrated Approach to Assessing the Progress of Digital Transformation by Using Multiple Objective and Subjective Indicators. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-05760-1_37

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  • DOI: https://doi.org/10.1007/978-3-031-05760-1_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05759-5

  • Online ISBN: 978-3-031-05760-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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