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RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

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Liburkina L. M.

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A Сomparative Analysis of Digital Transformation Management Frameworks and a Context-Fit Selection Matrix
Herman Y. Y., Mazorenko O. V.

Herman, Yaroslav Ye., and Mazorenko, Oksana V. (2026) “A Сomparative Analysis of Digital Transformation Management Frameworks and a Context-Fit Selection Matrix.” Business Inform 3:560–570.
https://doi.org/10.32983/2222-4459-2026-3-560-570

Section: Management and Marketing

Article is written in English
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UDC 005.591.6:004.9

Abstract:
Digital transformation is increasingly understood as enterprise-wide change in value creation, operating arrangements, and organisational capabilities, not simply technology adoption. The aim of the article is to provide a comparative analysis of widely used digital transformation frameworks (Gartner, McKinsey 7S, BCG, Deloitte, MIT, Cognizant) and to develop an instrument that supports an evidence-based choice of a framework depending on the conditions and needs of a particular organisation. The study is conducted as a qualitative comparative synthesis: the material is drawn from recent academic publications and authoritative practitioner descriptions, and the comparison is performed using shared criteria that ensure a consistent basis for analysing models of different types. The main result is the conclusion that the examined frameworks differ primarily in managerial logic and focus: some emphasise coherence among organisational elements, whereas others emphasise phased change and maturity assessment, coordination of change across domains, the development of digital capabilities and leadership, or the modernisation of the technological foundation as a condition for scaling. On this basis, a selection matrix is proposed that links typical organisational manifestations and constraints to an appropriate framework and specifies which additional components should be incorporated for more comprehensive transformation management. The study is limited by the predominance of secondary sources; further work should test the proposed instrument on empirical material and refine suitability criteria for different industries and maturity levels. The practical significance lies in improving the quality of managerial decisions regarding the selection and combination of frameworks, supporting more coherent planning, better controllability of change, and higher effectiveness of digital initiatives. The scientific novelty of the study lies in the systematic comparison of frameworks of different origins on a shared set of criteria and in formalising the results in the form of an applied selection instrument.

Keywords: digital transformation; digital transformation frameworks; digital maturity; strategic management; management frameworks; organisational alignment.

Tabl.: 4. Bibl.: 22.

Herman Yaroslav Ye. – Postgraduate Student, Department of Management, Business and Administration, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]
Mazorenko Oksana V. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Management, Business and Administration, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]

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