Estimation the level of innovation of companies located in Yazd Science and Technology Park by using artificial neural networks and regression

Mir Ghafoori, Habibollah; Sadeghian, Zahra; Sadeghi Arani, Zahra

doi:10.22104/jtdm.2014.60

Estimation the level of innovation of companies located in Yazd Science and Technology Park by using artificial neural networks and regression

Document Type : Research Paper

Authors

Habibollah Mir Ghafoori

Zahra Sadeghian

Zahra Sadeghi Arani

10.22104/jtdm.2014.60

Abstract

Nowadays innovation is one of the essential factors for companies to survive in competition with other companies. This study tries to predict the level of the product, process, marketing and organizational innovations by using the factors affecting innovation and using artificial neural networks and regression techniques. It also determines the most important factors affecting each type of innovation. In this study questionnaire has been used for data collection and companies located in Yazd Science and Technology Park form Statistical population. Since all companies were not accessible, Iqbal Center of Science and Technology Park was chosen for the distribution of questionnaires. After distributing questionnaires among all of the Iqbal center companies (about 70 companies) 60 questionnaires returned to the researchers. By using obtained data, five models were extracted to predict the level of innovation. This study concludes that the quality of human resources, appropriate organizational substructures, organizational culture supporting innovation and dynamic organizational environment have the most influence on the creation of innovation in Companies located in Yazd Science and Technology Park.

Keywords

Innovation

factors affecting innovation

artificial neural networks

Science and Technology Park

Subjects