درخت حوزه‌های تخصصی

Purpose: This study was carried out with the aim of strategic tourism planning in Semnan with emphasis on MICE tourism using Meta SWOT and SOAR techniques. Methodology: The descriptive-analytical method is used in order to conduct this research. The statistical population of the study is divided into three parts. The first part were local residents of Semnan, the second part includes tourists who have considered Semnan as a tourist destination from 2019 to 2020, and third part includes academic elites, managers, staff of tourism part working in different management levels of province. Three-hundred seventy people (three parts) were determined as the statistical sample size using Cochran formula. The method of data collection and analysis of required information is documentary and survey. Meta SWOT and SOAR analytical techniques have been used to formulate the development strategy and explain the goals, resources, capabilities and macro-environmental factors. Findings: According to the obtained results, the most important factors in line with strategic tourism planning in Semnan are government policies, non-responsiveness of infrastructure, increased natural dangers and inflation and economic recession at the macro level. Conclusion: Meta SWOT model is implemented in a program consisting of title window and seven interconnected windows. This tool enables unlimited reviews of inputs, because decision makers change their assessment during a planning activity.

Purpose: The aim of this study was to provide a model for social responsibility in education staff. Methodology: The present study was mixed in terms of implementation method (qualitative-quantitative) and applied in terms of research purpose. In the qualitative part of the research, the participants were 29 experts in the field of social sciences and management who were selected by purposive sampling. The research tool was semi-structured interviews and the data were analyzed at three levels of open, axial and selective coding. Professors' critique was used for data validity and agreement coefficient between coders was used for reliability (CVR = 0.86). In the quantitative part, the statistical population was the administrative staff of different departments of Khuzestan province (1350 people) that based on Krejcie and Morgan table, 384 of them was selected as a sample size by simple random sampling method. The research instrument was a researcher-made questionnaire based on qualitative findings and the reliability of the instrument was obtained by Cronbach's alpha test (0.84). Data analysis was performed using Spss19 and Amos24 software which included descriptive and inferential statistics (structural equations). Findings: From the perspective of experts in ethical, economic, legal, strategic responsibility, transparency of presentation and accountability as the main components of social responsibility and the factors affecting it, including staff training, compliance with ethical charters, providing cheap services, organizational standards, financial and extra-financial support, facilitation Needs were commitment and attention to the growth of staff creativity and innovation. Among the components of social responsibility, accountability with coefficient of path (0.85), ethical component with (0.84) and legal component with (0.81) were more important, respectively. Staff training with path coefficient (0.67), commitment (0.63) and observance of social and moral values ​​(0.59) were the most important factors on social responsibility. Conclusion: Important elements of social responsibility are transparency, accountability, and greater commitment to ethical and legal norms, which improve employees’ social responsibility by empowering and strengthening social values.