Document Type : Original Research Paper
Authors
1
Professor, System Management and Methods Department, Faculty of Management and Industries, Malik Ashtar University of Technology, Tehran, Iran
2
Master of Technology Management, Systems and Methods Management Department, Faculty of Management and Industries, Malek Ashtar Industrial University, Tehran, Iran
3
Assistant Professor, Systems and Methods Management Department, Faculty of Industrial Engineering, Malik Ashtar University, Tehran, Iran
10.47176/smok.2024.1769
Abstract
By entering the age of information and communication technology, there have been major changes in the field of business and companies in the world. One of these achievements of the new era is the establishment of strategic connections and collaborations with other companies. The purpose of this article is to identify the factors for creating a network of knowledge-based companies in the lithium battery value chain in Iran and to present a conceptual model. The research has an applied objective and in terms of a mixed method (qualitative-quantitative), content analysis method was used in the qualitative part and structural equation modeling method and SmartPLS version 4 software were used in the quantitative part. The statistical population in the qualitative section includes 11 experts and specialists in this field and university professors who were selected purposefully; And the data reached theoretical saturation. In the quantitative part, there were 72 people in the statistical sample, the main tool of the research was a researcher-made questionnaire that was distributed among experts of knowledge-based companies in Tehran, Alborz, and Qom provinces, as well as university professors. In the first (qualitative) step, the networking factors of knowledge-based companies were identified, and in the second (quantitative) step, the direct and indirect effects of these factors were investigated. The findings show that the identified variables are network structure and environmental factors as independent variables and trust building between partner companies and knowledge sharing as mediating variables. The fit of the proposed research model was confirmed in three parts: measurement, structural and general models. Thus, based on the values of the T statistic, network structure (0.706) and trust building (0.294) do not directly affect networking, and network structure has a positive and significant effect on trust building (25.880) and knowledge sharing (2.828), and trust building also has a significant effect on knowledge sharing. (8.824) has a positive and significant effect. Also, knowledge sharing (2.093) and environmental factors (2.645) also have a positive and significant effect on networking.
Keywords
Main Subjects
Copyright ©, Maryam Ahmadi
License
Published by Imam Hossein University. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
)