Document Type : Original Article

Authors

• hojat vahdati
• zahra solgi
• afshin bazgir

Abstract

The present study was conducted with the aim of designing a self-management model of the career path of higher education graduates, focusing on new perspectives on the career path and based on mixed research, which was applied in terms of purpose and descriptive survey in terms of nature and method. The statistical population of the qualitative and quantitative part of the research included all entrepreneurial graduates and professors who are members of the faculty of entrepreneurship faculties of universities of a country, and in the qualitative phase, 35 of them were selected based on the principle of theoretical adequacy and using the Purposive sampling method. The data collection tool in the qualitative part was a semi-structured interview, and in the quantitative part, a researcher-made questionnaire based on the results of the qualitative phase of the research, whose validity was confirmed by using the CVR coefficient and its reliability was confirmed by calculating the inconsistency rate. Qualitative data analysis was done using thematic analysis method and Atlas.ti software, as a result of which 10 main effective factors in career self-management were identified. In the quantitative part, the model was designed in six levels using Matlab software and fuzzy interpretive structural modeling method, in which self-awareness and entrepreneurial self-confidence with the greatest power of guidance was placed as the main effective factor in self-management of the career path in the sixth level of the model.  Clarity of goals and expectations was another effective factor that was in the fifth level of the model, and physical dynamics and personal marketing were the variables that were in the fourth level of the model. In the continuation of leveling, the three variables of psychological skills, human skills and adaptation and environmental awareness were placed in the third level, academic knowledge in the second level, and cognitive and information skills in the first level of the model.
 

Keywords

• self-management
• new career path perspectives
• fuzzy interpretive structural modeling

Main Subjects

• Higher Education Management