Acceleration of enterprise digital transformation processes based on the two-level digital maturity assessment model

Author:

Orlova E. V.1ORCID

Affiliation:

1. Ufa University of Science and Technology

Abstract

In modern conditions, the main factors of breakthrough development are competition by business models and the speed of decision-making. An enterprise is more efficient if it has a business model that is more adequate to the current level of development of advanced production technologies. The aim of the work is to form a modified model for assessing the digital maturity of an industrial enterprise, ensuring the acceleration of its digital transformation. A two-level model for assessing the digital maturity of industrial enterprises is proposed, which has a modular architecture and combines a top-level module for assessing the maturity of an enterprise and its management system and a lower-level module for identifying the level of digital maturity of the main, auxiliary business processes and technological solutions of the enterprise. The model is based on the use of qualitative analysis methods and allows to identify the strengths and weaknesses of an enterprise and identify opportunities for implementing digital innovative solutions. The developed model could be used as a basis for designing self-assessment tools for an industrial enterprise in the process of developing and adapting its digital transformation strategy. The advantage of the model is a systematic analysis of heterogeneous information about the level of maturity of the enterprise and its management system, characterizing the degree of achievement of its goals, as well as information about the level of digital readiness of individual business processes and technologies of the enterprise, the assessment of which will justify the implementation of differentiated digitalization tools. The model was tested at a large machine-building enterprise in the Republic of Bashkortostan.

Publisher

National University of Science and Technology MISiS

Subject

Anesthesiology and Pain Medicine

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