Developing A Model For Improving The Business Performance Of Nanotechnology Knowledge-Based Companies Based On Technological Learning Modes
Journal Title: Strategic Management of Organizational Knowledge - Year 2024, Vol 7, Issue 1
Abstract
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, new technologies, and knowledge-based companies' growth are critical. Technological learning is one of the essential topics for developing innovation and improving the business performance of these companies. This research aims 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 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 model's results 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 a positive and significant relationship between different modes of technological learning, innovation, and the commercial performance of nanotechnology companies. Also, the experience-based learning mode has a more substantial impact on the innovation and business performance of these companies than the science-based learning mode, and external drivers have a more significant impact on the technological learning modes of nanotechnology companies than internal drivers.
Authors and Affiliations
Hedayat Samadiansari, Mohammadreza Razavi, Parivash Jafari
Keywords
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- EP ID EP751625
- DOI 10.47176/smok.2024.1678
- Views 40
- Downloads 0
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