academic entrepreneurship

Digital technology forms structural pillars for academic entrepreneurship. Digital technology speeds up changes and changes organizations culturally, socially, and structurally. Based on this, the present research has been conducted with the aim of developing the ecosystem of academic entrepreneurship based on digital technology. This research was done with qualitative method and meta-composite approach and using content analysis of documents. For this purpose, related internal and external documents consisting of 118 documents were identified and finally 45 final documents were analyzed. Based on the three-stage coding and content analysis of the documents, the development model of the university entrepreneurship ecosystem based on digital technology was identified. Based on the research findings, the development of academic entrepreneurship ecosystem based on digital technology including (actors, processes, relationships and interactions and the way of functioning) were determined. In this regard, the key players in the development of the academic entrepreneurship ecosystem based on digital technology include "government, industry, universities and growth centers and science and technology parks". Digital processes also include "digital infrastructure, digital products, digital services and digital market". In this way, interrelated relationships and interactions also include "individual, cultural, social, organizational and managerial interactions". The functioning of the academic entrepreneurship ecosystem based on digital technology including "technological approach, knowledge approach and operational approach" has been determined.

The purpose of this research is to design the excellence model of reproductive companies in the context of academic entrepreneurship ecosystem. The approach of the current research is qualitative, and the seven-step metacombination method of Sandelowski and Barroso was used. The statistical community of the research includes all the resources related to the academic entrepreneurship ecosystem and reproductive companies published from the scientific database in the period of 1390-1400 solar and 2000 to 2021 AD. Therefore, taking into account the degree of relevance to the research topic, primary sources were screened and 55 sources were selected, and coding was done on the concepts extracted from them. In total, 24 subcategories and 6 main categories were categorized. Finally, the identified codes were classified based on the content analysis approach of Strauss and Corbin's three-stage coding (open, central and selective). The identified components include environmental, organizational, educational, research, business and managerial factors. The results were presented in the form of a conceptual model for a better understanding of the excellence model of reproductive companies in the context of the academic entrepreneurship ecosystem.

The Academic entrepreneurship paradigm, as a result of the requirements of educational, social, economic and industrial systems, has led higher education stakeholders to change the orientations, goals, missions. However, the diversity, complexity of academic entrepreneurship theories have prevented the existence of a coherent model with pervasive structures. therefore, the aim of study "Designing a conceptual model of Academic entrepreneurship" has examined Academic entrepreneurship and extracted the dimensions and key components. This research is of qualitative type and has been done based on contextual theory (GTM) by content analysis method. The required data were collected through document analysis and library document analysis and open interview. By analyzing and coding the data in MaxQuda. an optimal combination of dimensions and key components and conceptual model of university entrepreneurship, tailored to the prevailing social conditions and university potentials were presented. According to research findings, university entrepreneurship consists five dimensions. In the first dimension are the requirements that meet the prerequisites of academic entrepreneurship. The second dimension is the enablers that must be strengthened for the growth and development of university entrepreneurship, the third dimension explains the university entrepreneurship activities (what is invested) and the fourth and fifth dimensions belong to internal and external influences and results. This model provides a good understanding of the prerequisites and developers of university entrepreneurship and suggests the key factors of success in the four missions of higher education (education, research, entrepreneurship, impact) and the benefits of engaging in university entrepreneurship to managers and stakeholders of higher education

The present study was conducted with the aim of investigating the barriers to the commercialization of academic research in the process of academic entrepreneurship. In order to achieve this goal, the meta-synthesis approach and the seven-step method of Sandelowski and Barroso, with the developmental-applicative approach, was used.

The University of Applied Sciences and Technology (UAST) of Iran introduces itself as a third-generation university and considers academic entrepreneurship (AE) as one of its missions. Knowledge is the foundation of innovation, and innovation is essential to entrepreneurship. In recent years, an increasing number of organizations have discovered the role of knowledge management (KM) in achieving their goals, and assessing the implementation of KM in the organization and its effect on organizational missions has become an attractive title both for managers and researchers. The purpose of the present correlational-descriptive study is to estimate the direct effects of KM components on AE in UAST. The statistical population consisted of 134 employees of the Deputy of Research and Technology in UAST. The sample size was estimated at 98 according to Cochran's formula and they were taken by stratified random sampling with proportional assignment. Data were collected with Nonaka and Taechuchy’s (1991) standard KM questionnaire to evaluate the KM and AE levels. SPSS26 and SmartPLS3.3 were used to analyze the data and to create a structural relation model. The findings showed that knowledge Internalization had a direct effect on AE while the effect of other KM components was not proven. To promote and expand AE, UAST should increase effective communication between its members, document the rules, and pay more attention to the transparent distribution of information.

This research is done to present the academic entrepreneurship evaluation model . The Descriptive research method is operational and through medley manner. Data of qualitative part were collected according to the documentary approach and a semi-structured interview with 20 professionals. These people have been chosen through purposive sampling style to theoretically saturate the information. The details were analyzed, coded in MAXQDA and based on the preliminary indicates which were identified, the form with 5 dimensions,32 components and 66 indicators was designed. In the quantitative part, a total of 148 people were sampled by simple random sampling among faculty members in the Azad University. The data of this part were validated by the method of structural equations based on partial least squares using the smart-PLS. According to the figures, evaluation of university entrepreneurship (with structural validity of 0.90) includes five components of evaluation of academic entrepreneurship stimuli (12 indicators,0.68), enables (10 indicators,0.83), third flow activities (28 indicates,0.93), effects internal (6 indicators,0.81) and external influences (10 indictors,0.88) that each of the components explains with 22,21,26,24 and 23% changes in the structure of academic entrepreneurship evaluation, respectively. The value of the SRMR fit index of the saturation model is 0.085. This model with presenting the view of actors and university entrepreneurship components and their key indicators creates an optimal understanding of measuring the academic entrepreneurship and its components which can be the basis of comparison of universities and can also be as a criterion for decision-making and selection of strategic of future universities.

Agricultural entrepreneurship is defined as a person or group with the right to use or exploit the land or other related elements required for agricultural activity. The aim of this study was to investigate the psychological factors affecting the tendency towards small and medium businesses in the agricultural sector. The statistical population of this study is graduate students of Islamic Azad University, Rasht Branch. A proportional stratified random sampling method was used to select the sample. To collect the data, a questionnaire, and to analyze the data and test the research hypotheses, the structural equation modeling method has been used. The present research is a descriptive-survey study and can be applied in terms of purpose. The results showed that the psychological factors (motivation, individual skills, attitude, subjective norms, perceived environmental support, perceived perceptual dynamic and perceived behavioral control) are factors influencing the tendency towards entrepreneurship among the students who participated in the survey.