درخت حوزه‌های تخصصی

The main purpose of this research is to present a model of film marketing process in Iran. The present research is developmental-applied in terms of purpose and is a kind of exploratory mixed research in terms of nature. The statistical population in the quality department is specialists in the field of work and academia, marketing and film industry. The number of samples was obtained by the available method and the sample size was obtained by theoretical similarity. Specialists were identified by purposive sampling and snowball sampling, which according to the adequacy of the data, a total of 30 specialists were interviewed. The statistical population in the quantitative section is 294 producers, directors and media experts. In the qualitative part, the interview was used as a data collection tool and in the quantitative part, a 34-item questionnaire was used. The research method in the qualitative part was the qualitative content analysis method in the MAXQDA software and in the quantitative part the researcher used the SPSS software and the structural equation approach. Based on the results of the qualitative study, nine hypotheses were proposed. The hypotheses were tested by distributing a researcher-made questionnaire and extracting the data and then the confirmatory factor analysis test. The results of the confirmatory factor analysis test and the dimension measurement model of the variables showed that all variables are in a significant state. And in the section of structural equations, it was proved that all the relations designed in the qualitative section are approved and all the components of the model have significant relations with each other.

The issue of proper career path development is important according to the knowledge management model for employees in many risky businesses in the country, especially since the outbreak of coronavirus and international sanctions against our country, so this study aims to design a model of progress. The career path was based on the knowledge management model in start-up businesses. The statistical population studied in this study consists of 877 people working in new businesses. Statistical sample size 269 people were selected through random sampling method. For statistical analysis, SPSS software version 20 and pls3 were used and the alpha level was considered 05p 05 0.05. The results showed that the value of t in all paths between the research factors is equal to and greater than 2.58. As a result, there is a significant relationship between the main factors and their sub-factors in the conceptual-analytical model of the research and also the results showed that the fit of the general research model is appropriate and strong. In general, it can be said that between the first step of the career path with the second step of the career path, between the second step of the career path with the third step of the career path and between the third step of the career path with the fourth step of the career path of employees There is a direct and significant relationship between start-up business employees in the conceptual-analytical model of career path.

In recent decades, mentoring has been hailed as an important human resource management strategy, a career tool, and a learning activity in the workplace, and has played an important role in enhancing the positive outcomes of a high-performance work system. Therefore, the purpose of this study is to provide a model of mentoring system in the Ministry of Interior based on a mixed approach. First, based on the data theory of the foundation, 12 experts were interviewed. Sampling was done purposefully with a network of experts and continued until the theoretical saturation was reached. According to the research model, causal, pivotal, contextual, interventionist, strategic and consequences variables were identified. The results showed that mentoring will have consequences such as increasing knowledge sharing, organizational performance excellence, productivity, job satisfaction, psychological well-being, client satisfaction, increasing public trust in the organization, increasing trust in government and improving political understanding. For quantitative validation of the model and study of component relationships, the structural equation modeling approach was used using the partial least squares method using smart-PLS software. The statistical sample of this department was 237 managers and experts of the Ministry of Interior. The results of the quantitative step showed that the relationships in the model with appropriate impact coefficients were confirmed.