Abstract
This study is devoted to considering the level of influence of some factors on the growth of teachers' incomes in the digital economy. The main research hypothesis is that there is a certain level of influence of qualitative and quantitative factors on the relationship between sales of digital educational products (resources) and the income of authors. The analysis in the article was carried out using the fuzzy output logic method in the MATLAB software package. Statistical data from Azerbaijan for the years 2010–2020 were used in the study. It was determined that quality indicators such as the ease of finding the digital product during the search, the availability of new information on the digital educational product, the image of the product owner, and the usefulness of the digital educational product for the buyer have a moderate to high effect on the increase of the authors' income.
Publisher
Journal of Eastern European and Central Asian Research
Subject
Marketing,Organizational Behavior and Human Resource Management,Strategy and Management,Economics and Econometrics,Finance,Business and International Management
Reference49 articles.
1. Ageev A.I., Averyanov M.A., Evtushenko S.N., Kochetova E.Yu. Digital society: architecture, principles, vision of skills // Economic strategies. No. 1. 2017. P. 114–125. URL: https://www.elibrary.ru/item.asp?id=28409520
2. Ali Wahab. Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic. Higher Education Studies, 2020, vol. 10, no. 16. doi: 10.5539/hes.v10n3p16
3. Amaury Hernandez-Aguila, Mario García-Valdez, Juan-Julián Merelo-Guervós, Manuel Castañón-Puga, Oscar Castillo López (2021), Using fuzzy inference systems for the creation of forex market predictive models, IEEE Access, V 9,P 69391-69404, 2169-3536, 2021, IEEE, DOİ: 10.1109/ACCESS.2021.3077910
4. Beltman, S., Mansfield, C. F., & Price, A. (2011). Thriving Not Just Surviving: A Review of Research on Teacher Resilience. Educational Research Review, 6(3), 185–207. https://doi.org/10.1016/j. edurev.2011.09.001
5. Blahun, Ivan S, Blahun, Ivan I, Blahun, Semen I,(2020) Assessing the stability of the banking system based on fuzzy logic methods, Journal:Banks and Bank Systems, V 15, N 3, P 171-183,2020, Publisher: LLC CPC Business Perspectives, http://dx.doi.org/10.21511/bbs.15(3).2020.15