Investigating the effects of applying innovation and information and communication technology on IT companies' performance

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.