مطالب

Purpose: Today, having knowledge-based organizations and businesses is considered an important and main capital for a country and can create a competitive advantage. As a result, the aim of this study was to drawing a scientific map of the knowledge-based businesses development with a bibliometric approach. Methodology: The current research in terms of purpose was applied and in terms of implementation method was descriptive. The population of this study was the conducted research in the field of knowledge-based business development in the Scopus database from 1985 to 2023 year. The data of this study were analyzed by the bibliometric method according to the systematic approach with the two objectives of functional analysis and citation network analysis and with PRISMA protocol in VOSViewer software. Findings: The functional analysis findings showed that in the field of knowledge-based businesses development, Gambardella and McGahan had the most citations (372 times) with an article entitled Business-model innovation: General purpose technologies and their implications for industry structure. Also, authors including Crenicean, Ichijo, Kohlbacher, Markopoulos, Popescu, Sequeira, Vanharanta and Will and countries including United Kingdom, China, United States, Germany, Italy, Romania and South Korea respectively had the most research in the field of knowledge-based businesses development. In addition, the findings of the citation network analysis showed that for collaboration between authors there were 21 links, 7 keywords and 1 cluster and for collaboration between countries there were 34 links, 22 keywords and 5 clusters. Also, for co-referencing words there were 1475 links, 138 keywords and 6 clusters, which were more related to the words of business development, knowledge-based systems, innovation and knowledge management. Conclusion: The results of the present research about the knowledge-based businesses development with a bibliometric approach can have an effective role in designing and implementing programs to improve knowledge-based businesses.

INTRODUCTION: The present study was conducted with the aim of answering the question of whether emotional intelligence has an effect on the working attitude of hospital nurses. METHODS: By reviewing the background of the studies conducted on the three attitudes of job satisfaction, organizational commitment and the turnover intention, and to examine the effect of the research variables on each other by using the descriptive-analytical research method and collecting data through a survey, 175 nurses were selected and examined by random sampling method. Data analysis was done by structural equation modeling method using Smart PLS3 software. FINDINGS: The findings showed that adding emotional intelligence criteria can improve job satisfaction, improve performance, reduce the turnover intention and increase organizational commitment by helping nurses to reduce negative emotions and increase positive emotions. CONCLUSION: In this research, the mediating role of emotions and job performance was examined, and according to the results, state positive affect had a significant moderating role in the relationship between job satisfaction and all dimensions of emotional intelligence among nurses.

Many behavioral biases affect investors when making decisions.Behavioral distortions divert the investor from rational decisions, and as a result, resources are not diverted to appropriate investments.Behavioral biases can be evaluated in different types including the two phenomena of mental anchor and collective behavior of investors. In the present study, the phenomenon of collective behavior and mental anchor of investors with emphasis on significant weaknesses in internal control has been investigated. For this purpose, the data of 125 companies listed on the Tehran Stock Exchange during the period 2012 to 2018 were used.Data analysis was performed in eviews software version 10 and in order to fit the regression models,the generalized least squares method of panel data was used. The results using univariate analysis showed that there is no significant difference between the amount of behavioral biases in each of the two groups of companies with weakness and lack of weakness in internal control.While multivariate analysis of data in the form of regression models showed that the auditor's report on significant weaknesses in internal control,(which Weakness indicates high agency costs and high information asymmetry between managers and shareholders) strengthens It is the collective behavior of investors but it has no effect on their mental anchor.According to the results, it seems that the behavioral biases of investors are conditioned by the priority and importance of good and bad news in the market.As long as there is bad news in the stock market towards the company, good news can’t cause behavioral bias in investors.