Developing A Model For Improving The Business Performance Of Nanotechnology Knowledge-Based Companies Based On Technological Learning Modes

The role of organizational knowledge in the economic development of countries and the creation of added value, especially in developing countries, has been the focus of development-oriented economists and politicians. In this view, knowledge-based industries and new technologies, as well as the growth of knowledge-based companies, are very important. Technological learning is one of the important topics for developing innovation and improving the business performance of these companies. The purpose of this research is to provide an integrated model for improving the business performance of knowledge-based nanotechnology companies based on technological learning modes. In terms of purpose, this research is applied, in terms of data collection method, it is a correlational description and in terms of data type, it is a quantitative research. Structural equation modeling and partial least squares method and SPSS and SMART PLS software were used for data analysis. Using appropriate techniques, the reliability and validity of the structures were measured and confirmed. The results of the model in the standard estimation mode showed that the direction and intensity of the relationship between all the variables were acceptable and the model had appropriate validity. The findings of this research confirmed the existence of a positive and significance relationship between different modes of technological learning, innovation and commercial performance of nanotechnology companies. Also, the experience-based learning mode has a greater impact on the innovation and business performance of these companies than the science-based learning mode, and external drivers have a greater impact on the technological learning modes of nanotechnology companies than internal drivers.