جستجوی مقالات مرتبط با کلیدواژه « رویکرد ساختاری تفسیری » در نشریات گروه « علوم سیاسی »

Political entrepreneurship is the driving force behind creating institutional changes that make it possible to change outdated processes. Political entrepreneurs have played an essential role in the policy-making process to create policy changes, and they can create different economic and social dimensions by presenting political strategies. The consensus of key and politically influential people on the issue of entrepreneurship in the country can accelerate the process of program development and solve process challenges. Therefore, identifying the development strategies of political entrepreneurship and strengthening the presence of these people leads to value creation and economic and social growth. Therefore, this research aims to interpret the structural modeling of political entrepreneurship strategies. Political entrepreneurship strategies were identified through semi-structured interviews with a qualitative content analysis method based on the theoretical saturation technique and purposeful sampling method with 24 entrepreneurship, policy-making, and management professors. The validity and reliability of the interviews were confirmed by the methods of relative content validity and Cohen's kappa index, respectively. Coding interviews using MAXQDA2020 software led to the identification of 11 strategies. In order to level the identified strategies, the opinions of 94 entrepreneurs and senior managers of government organizations were used with the stratified random sampling method and with the help of a questionnaire. The validity and reliability of the questionnaire were confirmed using content validity and the test-post-test method. The strategies identified by the interpretative structural method led to the formation of five levels, where political networking was the most effective and streamlining was the most impressionable factor.

The present study aims to design proactive career behaviors model in oil industry using ISM approach.

This research is based on quantitative and qualitative cross-sectional research that is applied in terms of purpose and descriptive survey in terms of nature.The statistical population of the present study consists of Oil Contracting Companies of Iran of which 30 experts have been selected based on the principle of theoretical adequacy and using a targeted sampling method. The information gathering tool in the qualitative research section is semi-structured interview and in the quantitative section the questionnaire is also used. In the qualitative section, the data and information obtained from the interview were analyzed using Atlas-Ti software and the coding method and components and indicators of Proactive Career Behaviors were identified. Also in the quantitative part of the research, the final model of research has been developed and presented using Matlab software and interpretive structural modeling technique.

The research findings include indicators and components of Proactive Career Behaviors in oil contracting companies. Also, the research results included twenty-two indicators in five levels and described in the final model. Review of the literature and research background shows that there is no research that has attempted to present a model of proactive career behaviors and the present study has responded to this research gap by presenting a model of proactive career behaviors in the oil industry.

Applying proactive career behaviors enables employees to fully consciously and intelligently predict the needs and wants of the future labor market and increase their capabilities and abilities to make the best use of opportunities.

The purpose of this study is designing a model of professional development in improving the human resources of the Social Security Organization.The research method is a mixed(qualitative-quantitative)exploratory method,which in the qualitative part, it contains qualitative content analysis and the quantitative part is survey.The statistical population of this study consists of all experts in the field of human resources and education of the Social Security Organization.The statistical sample in the qualitative section includes11 experts of the Social Security Organization in the field of human resource management and education who has been selected by snowball sampling method and in the quantitative part,it consists of all employees of Social Security Organization and the number of282people who are selected by stratified random sampling according to the research community.The instrumentation research in qualitative part is semi-structured interview and in quantitative part, is questionnaire.The questionnaire items includes of 46 items according to Likert five-choice range.The method of analysis of interview data in the qualitative part,open,coded and selective coding in MAXQDA software and in the quantitative part, the method of structural-interpretive from Smart pls equations has been selected.Findings of the research in the qualitative section show the extraction of 312 open codes with 2main categories of human resource improvement(12core codes)and professional development(34core codes).The results in the quantitative part of the research also show that improving the effectiveness and efficiency and improving the quality are the most influential at the first level and leadership style,learning organization and specialized training,the eleventh level variables are the most effective model variables