This paper presents an empirical investigation to identify important factors influencing integrated marketing planning using information technology. The proposed study designs a questionnaire for measuring integrated marketing planning, which consists of three categories of structural factors, behavioral factors and background factors. There are 40 questions associated with the proposed study in Likert scale. Cronbach alphas have been calculated for structural factors, behavioral factors and background factors as 0.89, 0.86 and 0.83, respectively. Using some statistical test, the study has confirmed the effects of three factors on integrated marketing. In addition, the implementation of Freedman test has revealed that structural factors were the most important factor followed by background factors and behavioral factors.

This paper discusses the influence of the Organizational socialization, on Organizational commitment and turnover intention with regard to moderate effect of career aspirations intention. Data were collected via a questionnaire from employees of east branches of social security organization of Tehran. Path analysis of data from 155 respondents was used to test 5 hypotheses. The results show organizational socialization has positive effect on organizational commitment, but negative effect on turnover intention moreover organizational commitment and career aspiration intention have positive effect on turnover intention. Further research should examine the different dimensions of macro-environmental condition on turnover intention.

This paper examines the relationship between monetary policy and activity of the Tehran Stock Exchange. The statistical population of the research consists of all companies listed in Tehran Stock Exchange and central bank monetary policy variables including time series generated by the central bank seasonally. For the purpose of data analysis, econometric autoregressive system models, and two-stage ADF regression with unit roots test, co-integration and reliability were used to determine level of effect and type of effect of the four components of monetary policy on exchange activity. The results of this study show that there is a strong relation between share price index and monetary policy variables and between monetary policy variables and trading volume. However, the relation between monetary policy variables and cash yield index was not so strong, but monetary policy variables’ effect on stock exchange activity was acceptable considering strong relation between the two first variables. It is suggested that if this work is done using non-linear models, it will yield better results.