درخت حوزه‌های تخصصی

The purpose of this study was to investigate the effect of business intelligence, foreign market knowledge and entrepreneurial characteristics on the speed of internationalization with the mediating role of organizational agility in SME pharmaceutical companies in Alborz province. The statistical population of this research was formed by those who hold a position and responsibility in SME pharmaceutical companies. In fact, they are decision makers. Therefore, it is possible to consider those who are part of the managerial positions, assistants, supervisors, senior decision makers, board members, and experts of different departments of SME pharmaceutical companies of Alborz province as members involved in the statistical population. did In this research, Klein's approach was used to determine the sample size. He believes that 10 or 20 samples are necessary for each variable. Considering the presence of 8 variables in the research, the sample size is estimated to be 20 times that is 160 samples. Non-probability sampling method was used. A researcher-made questionnaire was used to collect data and its Cronbach's alpha coefficient was 0.950, which indicates the reliability of the research tool. Also, the KMO test was confirmed in the validity of the research instrument construct. Smart PLS software was used to analyze the data and test the research hypotheses. The research findings out of the ten mentioned hypotheses show the confirmation of seven hypotheses and the rejection of three hypotheses. The foreign market knowledge construct did not show any positive and significant relationship with organizational agility structures and the speed of internationalization and also its mediating role was not confirmed. But other structures, namely business intelligence and entrepreneurial characteristics, showed a significant and positive relationship with organizational agility and the speed of internationalization, both directly and indirectly through the mediating role of organizational agility.

Due to the rapid changes and developments caused by technology in the digital age and the growing importance of achieving sustainability for the survival of businesses, the need to create the capabilities needed to innovate in the business model of organizations has become inevitable. This research is trying to provide a model for business model innovation with the aim of sustainability by considering the external factor of digitalization (digital transformation) and the internal factor of dynamic capabilities. The method of this research is mixed so that in the first stage the qualitative method of Meta-Synthesis is used and in the second stage the quantitative method of Interpretive Structural Modeling (ISM) is used. In this research, based on the systematic review of previous researches in scientific databases, 402 related articles were identified and then 46 final articles were selected during the screening process. Based on the thematic analysis, a total of 4 main categories and 14 factors were extracted. In the second stage of the research, an interpretive structural model (ISM) is developed to show the inter‐relationship of different factors and their levels of importance in the food industry.   The 8-level hierarchy model of factors influencing the sustainable business model innovation in the digital age with a dynamic capabilities approach was proposed. Results show that a new component called network value has been added to the traditional business model components. Furthermore, the MICMAC approach has been used to categorise factors according to their driving power and dependence. finally, digital technologies and Sensing were found to be the factors with the highest independence and the highest driving power, and “Economic Sustainability” was identified as the factor with the highest dependence and the least driving power