Russian Federation
UDK 658.5 Организация производства (производственного процесса). Производственное планирование. Конструирование. Контроль на производстве
The present study was conducted to understand the impacts of innovation and information and communication technology application via artificial intelligence on the performance of information technology companies. The article was based on an applied objective. Neural classification and neural clustering techniques were utilized to examine the feasibility of classifying companies based on their performance level. Information Technology-Software companies in Tehran (767 active companies) comprised the statistical population. Using a simple random sampling method and the Cronbach's formula, the number of 263 directors or deputies of these companies (estimating the attrition level in questionnaires) constituted the statistical samples. The findings of this study suggested that; (1) in data-mining via neural classification method, the model fit in the model learning section was equal to 91.4%, and (2) in data-mining via neural clustering method, model fit was 62.6%. The findings concluded that the application of innovation and information and communication technology significantly affect the performance of information technology companies.
science and technology policy, application of innovation, information and communication technology, artificial intelligence
1. Al-Zu'bi H.A. A study of relationship between organizational justice and job satisfaction // International Journal of Business and Management. - 2010. - V. 5. - No 12. - p. 102.
2. EmenikeKalu O., Obasi R. Long-run relationship between marketing of bank services & the performance of deposit money banks in Nigeria // International Journal of Economics, Business & Management Studies. - 2016. - V. 3. - No 1. - pp. 12-20.
3. Widjaja B., Sumintapura I., Yani A. Exploring the triangular relationship among information and communication technology, business innovation and organizational performance // Management Science Letters. - 2020. - V. 10. - No 1. - pp. 163-174.
4. Fengyang W.U. An analysis of Chinas poverty research based on CiteSpace // Journal of Social Economics Research. - 2018. - V. 5. - No 2. - pp. 75-84.
5. Bernard A.B., Moxnes A., Saito Y.U. Production networks, geography, and firm performance // Journal of Political Economy. - 2019. - V. 127. - No 2. - pp. 639-688.
