درخت حوزه‌های تخصصی

Considering that today's competitive environment is growing and the movement of organizations towards complexity and dynamism has started, the ability to learn earlier and faster than competitors will be the only relative advantage in the next decade and should The prospects and long-term and short-term contributions of organizations should be examined in a different way, and creativity, innovation along with the use of current information should be an inseparable part of managers' decision-making, and only an organization can claim superiority and success that To use the capabilities, commitment and learning capacity of employees at all levels of the organization in the best way. Based on this, the current research has studied the Board influence on the role of environmental innovation in the success and stock price risk. The statistical population of the research is all the Companies listed in Tehran Stock Exchange to the stock exchange, the period from 2014 to 2019 and the sample is 153 companies. Based on the investigations, the findings showed that environmental innovation has a positive and significant effect on the company's long-term success, and with the Board influence in the company, the role of environmental innovation on the company's long-term success shows a better effect. Also, environmental innovation has a positive and significant effect on the company's success in the short term, and with the Board influence in the company, the role of environmental innovation on the company's short-term success becomes more colorful (intense). Finally, environmental innovation has a negative and significant effect on the Stock price risk in the long run.

Given the importance of the issue of fairness perception in the case of a currency crisis, in this study, we aim to analyze the effect of the type of fairness and the impact of the price increase on the customer's perception of price fairness during the currency crisis in domestic and foreign brands., the conclusion, and analysis in the fourth section of the study, and finally, in the fifth section, the limitations and suggestions for future research have been described. Furthermore, this study doesn’t touch on the effect of losing the purchasing power of people -customers- as well as inflation. Also, luxury goods are not included as their prices are unrelated to the currency crisis. The present study aims to examine and analyze the factors affecting the customer's perception of fairness in the case of a currency crisis. For this purpose, five different scenarios encompassing five different types of domestic and foreign products were used. Each questionnaire was randomly distributed among 50 people. Nonparametric t-test and ANOVA were used for data analysis. The pairwise comparison indicates that in all scenarios, the perception of fairness in the foreign market basket is significantly higher than the perception of fairness in the domestic market basket. Also, in all scenarios, there is a significant difference between the perception of fairness in the Iranian market basket and the foreign market basket. This study can be beneficial to formulating and implementing firm pricing strategies.

The aim of this study was to identify the challenges of the business model of small and medium enterprises in the path of digital transformation during the Covid 19 epidemic. The research is applied in terms of purpose and descriptive-survey in terms of method. For this purpose, first, using the literature review, the challenges of the business model in the path of digital evolution during the Covet 19 epidemic have been identified, then in order to sift and consensus of the components extracted from the literature, the Delphi method was used in two rounds. The Delphi panel consisted of 30 experts in the field of research who were selected by purposive sampling. In the next step, in order to ensure the factor structure and validity of the structures, and to fit the model using the field method and distribution of questionnaires, a survey of senior managers of small and medium companies in Tehran was conducted. The sample size was determined using the sample size method required for modeling structural equations, 200 people, and finally 162 questionnaires were selected using a simple random method. Smart PLS software was used to analyze the data. Findings indicate 23 sub-components in 6 main components of change challenges, market challenges, financial, organizational, individual and environmental. The results also showed that the factor of "lack of necessary infrastructure" has the highest priority,"lack of government support during the Pandemic" and "lack of intangible resources(experience,knowledge,flexible manpower) for digital transformation" are in the next ranks.