درخت حوزه‌های تخصصی

Purpose : Relationship marketing seeks to build relationships with your customers that will make them repurchase from the company in the future and encourage others to do so, which is the best approach to retaining customers. Therefore, Internet service providers should be aware of how to establish lasting relationships with their customers and look for relationships to attract customers. The purpose of this study is to design a relational marketing model in the film sales and screening network in Iran. Method : In the present research method, after analyzing the theoretical and experimental records, the qualitative method and in-depth interviews with 10 managers of film sales companies were carried out using targeted sampling method and theoretical sampling, which has reached theoretical saturation. The obtained information was then analyzed using the content analysis method and a paradigm model of relational marketing was constructed. Findings: The results showed that relational marketing in the sales and film network in Iran is one of the factors of relational marketing (including the themes of causal conditions: communication, relationship quality, innovation; background conditions: marketing, advertising; mediating conditions: Customer gender, customer expectations, customer knowledge, customer focus and ultimately the outcome: customer loyalty, customer satisfaction, customer trust, competitive advantage, business performance, and customer commitment) can have an impact. Conclusion : By focusing on the factors obtained in this research, relationship marketing can create customer loyalty, customer satisfaction, competitive advantage, business performance, and customer commitment in film sales companies.

Industrial investment in Iran, especially in the wake of sanctions’ intensification in the 2010s, decreased significantly. The government implemented fiscal policy which has been associated with uncertainty. In this paper, using a dynamic panel model and generalized method of moments, we examined the effect of fiscal policy uncertainty on investment in 24 industrial groups in Iran over the period 2002-2020. The results indicated that the growth of fiscal level shock,resulted in a low but positive effect on investment directly. However,the coefficient of cross effect between the growth of fiscal level shock and the fiscal policy uncertainty undermined the positive effect on industrial investment. The government has had two effects on industrial investment indirectly through the demand side shock. By creating demand, it has had a positive effect on industrial investment with the cross effect between the growth of the fiscal level shock and industrial sales. However, on the other hand, the growth of the fiscal level shock has been associated with the creation and growth of fiscal policy uncertainty, so that the cross effect between the growth of fiscal policy uncertainty and the growth of industrial sales on industrial investment shows a high negative coefficient. The results of these two effects suggest that due to high uncertainty,the indirect government effect on investment in 24 industrial groups is negative, which happens through the demand-side shock. Moreover, the growth of fiscal policy uncertainty, sanctions, and interest rates, respectively, have had the most adverse effect on investment in 24 industrial groups in Iran.

Purpose: The purpose of the present study was to present an applied model for implementing knowledge management training. Methodology: The purpose of this study was applied, and the research method was descriptive-survey and cross-sectional. The statistical population of the study consisted of Mazandaran city managers with experience of management and selected public administration professors in the universities of Mazandaran province (Qualitative) as well as all official, contracted, contracted, volumetric and corporate staff of Sari municipality (quantitative) in summer 1977 (1255). The analysis was based on data collected from 10 mayors and 295 staff of qualitative and quantitative subjects, using stratified random sampling and Cochran's formula (for quantitative phase). Was. The sampling method was "Samples containing rich information" (for the qualitative stage) from the target population. Data were collected in a qualitative phase using semi-structured interviews based on data theory and in a quantitative phase using a designed questionnaire including 88 items based on 5-point Likert spectrum, collected through soft SPSS and AMOS were analyzed. Exploratory and confirmatory factor analysis and Friedman test were used for data analysis. Findings: The results showed that the model of knowledge management training implementation includes 12 variables: organizational culture, organizational structure, information technology, human resources, knowledge process, leadership and leadership support, organizational learning, organizational strategies, communication, environment, It was motivation (benchmarking) and benchmarking. Conclusion: Knowledge management as a process effectively utilizes the competencies, experiences, specialties, skills, talents, thoughts, ideas, actions and imaginations of individuals and integrates them into the organization's information resources to achieve its goals.