@article{Feng_2023, title={Digital Transformation of Service Enterprises: Assessing Influence Factors}, url={https://bulecon.enu.kz/index.php/main/article/view/567}, DOI={10.32523/2789-4320-2023-1-109-125}, abstractNote={<p>The article raises the topic of assessing the readiness of enterprises in the service sector of Kazakhstan for digital transformation. The information base of the study is the balanced data panel of the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, which includes 17 regions of Kazakhstan, surveyed for the period from 2016 to 2021 on 13 indicators. The number of observations of 17 regions over 6 years determines the total volume of the combined sample, equal to 100. The method of correlation and regression analysis was used to solve the problem of assessing the readiness of service enterprises for digital transformation, which allows us to describe the object of study in the most compact and comprehensive way to cover the main processes of digitalization of the service sector in the regions of Kazakhstan.</p> <p>  The performed calculations and the constructed regression model did not allow any of the put forward research hypotheses to be refuted. The significance of the factors described in the scientific literature for the development of new sectors and the adaptation of the service sector to digitalization processes has been confirmed. In the current socio-economic conditions, the most significant factors for the formation and development of new sectors of the economy in Kazakhstan, as well as the creation of conditions and opportunities for the creative implementation of professionals are: a high concentration of human capital (the share of the employed population with higher education, the share of students in the population); conditions for the development of information technology (the cost of information technology, the number of enterprises and individual entrepreneurs in the service sector, the availability and quality of IT).</p>}, number={1}, journal={ECONOMIC Series of the Bulletin of the L N Gumilyov ENU}, author={Feng Вей}, year={2023}, month={Mar.}, pages={109–125} }