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Digital maturity and readiness model for multiple-case of Kazakhstan large companies

Digital maturity and readiness model for multiple-case of Kazakhstan large companies

Almasbekkyzy, Aidana, Abdikerim, Daulet, Nabi, Daulet, Abdallah, Yasser Omar ORCID logoORCID: https://orcid.org/0000-0001-5425-7598 and Shehab, Essam (2021) Digital maturity and readiness model for multiple-case of Kazakhstan large companies. In: 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), 28th - 30th April 2021, Nur-Sultan, Kazakhstan. IEEE Xplore . Institute of Electrical and Electronics Engineers, Inc. (IEEE), Piscataway, New Jersey, pp. 1-7. ISBN 978-1728174709 (doi:10.1109/SIST50301.2021.9465912)

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Abstract

With the evolving of Industry 4.0 in the 21st century, digitalization gains popularity in companies, because it is a need that makes the company competitive and optimizes the work. Many factors influence the company and its transformation, especially in large companies, for example, financial situation, organizational culture, employees and their skills and talents, technology, and strategy. Based on these factors, models are developed to assess the digital readiness and maturity of the company. As a result of a comprehensive review of different models and current situations in large Kazakhstani companies, the model was developed and described together with the results of the model which was applied in different companies.

Item Type: Conference Proceedings
Title of Proceedings: 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), 28th - 30th April 2021, Nur-Sultan, Kazakhstan
Uncontrolled Keywords: Industry 4.0, digitalization, digital maturity, digital readiness
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > Q Science (General)
T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group: Greenwich Business School
Greenwich Business School > Executive Business Centre
Last Modified: 21 Nov 2025 16:15
URI: https://gala.gre.ac.uk/id/eprint/51694

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