Universities and institutions of higher education with a professional, special, educational and cultural environment, play an important role in effective knowledge management and preparing the background for knowledge sharing. Faculty members are known as the main elements of the university who own mental and intellectual property. Their knowledge sharing under certain conditions along with knowledge sharing behaviors improve individual and organizational operations. Moreover, the tendency to do these actions is the most important factor in knowledge sharing behavior and emotional intelligence (EQ), as one of the social intelligence factors, can guide individual thinking and activity. This study examines the impact of emotional intelligence on faculty members & apos; knowledge sharing behaviors. Regarding the purpose and nature, this study was functional and its methodology was exploratory and due to evaluation of the relations and impacts among variables, it was a correlational method. Data collection included interviews with experts for the qualitative part and a questionnaire for the quantitative part. The qualitative findings indicate different emotional intelligence dimensions, which includes self-awareness, social skills, coping with pressure, adaptability and overall creation. In addition, the result of EQ dimensions on knowledge sharing behavior reveal that “social skills, coping with pressure, and overall creation” share a link with faculty members & apos; research behavior among the four dimensions of knowledge sharing behavior and that “adaptability” has no significant relationship with knowledge sharing behavior.

Universities and institutions of higher education with a professional, special, educational and cultural environment, play an important role in effective knowledge management and preparing the background for knowledge sharing. Faculty members are known as the main elements of the university who own mental and intellectual property. Their knowledge sharing under certain conditions along with knowledge sharing behaviors improve individual and organizational operations. Moreover, the tendency to do these actions is the most important factor in knowledge sharing behavior and emotional intelligence (EQ), as one of the social intelligence factors, can guide individual thinking and activity. This study examines the impact of emotional intelligence on faculty members & apos; knowledge sharing behaviors. Regarding the purpose and nature, this study was functional and its methodology was exploratory and due to evaluation of the relations and impacts among variables, it was a correlational method. Data collection included interviews with experts for the qualitative part and a questionnaire for the quantitative part. The qualitative findings indicate different emotional intelligence dimensions, which includes self-awareness, social skills, coping with pressure, adaptability and overall creation. In addition, the result of EQ dimensions on knowledge sharing behavior reveal that “social skills, coping with pressure, and overall creation” share a link with faculty members & apos; research behavior among the four dimensions of knowledge sharing behavior and that “adaptability” has no significant relationship with knowledge sharing behavior.

Any phenomenon can be considered and analyzed in terms of different perspectives. In multilevel theorists view, structure or structures of the studied phenomenon are used to consider or to analyze it, completely. Level of analysis indicates the purpose of a researcher or theorist that is intended to be explained or justified, like individual, group or organizational levels and then they are generalized. Contrary to multilevel approach, the conventional approach of theorizing considers micro level or macro level. It cannot perform a simultaneous micro–macro level analysis. A multilevel approach characterized by inter-level and multilevel organizational view to organizational phenomena is an attempt to expand the boundaries of knowledge and provide a new plan. This study uses documentary studies to analyze the multi-level approach of theorizing, multilevel models and multilevel analysis.

Universities and institutions of higher education with a professional, special, educational and cultural environment play important roles in the direction towards the effective management of knowledge and space provision for the sharing of knowledge. Faculty members are known as the main elements of the university and they are the mental and intellectual investment banks who share their knowledge under certain conditions. In addition, their knowledge sharing behaviors lead to the success and improvement of individual and organizational operations. Moreover, organizational intelligence is the capacity of the organization to create knowledge and to use it in a strategic way to coordinate and to conform itself to its surroundings. This study examines the impact of organizational intelligence on faculty members' knowledge sharing behaviors. Data collection for qualitative research includes interviews with experts and quantitative research is performed using a questionnaire. The research results show that there was a significant relationship between organizational intelligence and faculty members' knowledge sharing behaviors. Among these dimensions, “knowledge application” influenced other dimensions. On the other hand, “common outcome” had a significant relationship with the “behavioral” dimension and “special and professional activities”.

Cultural variety is a behavioral characteristic of investors and evaluating the cultural influences in the area of financial management on the decisions of investors plays an important role. In fact, different behaviors and decisions are required in various cultures facing the prices, price fluctuations and important or non-important published news of portfolio. In this paper, a questionnaire was designed including 22 cultural items in three criteria of values, facilities and behavior in order to measure the cultural factors affecting investment in stock exchange. Experts’ comments were used on the design of items and quintet Likert spectrum was applied for the answers. Structural equation modeling, or multivariable analysis with latent variables, is a comprehensive statistical approach for testing the hypotheses about relationships between observed and latent variables. Such analyzes have been done by LISREL software and the results showed that there was a significant relationship between investment and its triple factors and also between the items and triple factors affecting on investment.