جستجوی مقالات مرتبط با کلیدواژه "academic entrepreneurship" در نشریات گروه "علوم انسانی"

The aim of the current research is to present a model for the development of academic entrepreneurship in Iraq using the interpretative-structural modeling approach.

The current research is applied in terms of purpose and descriptive-analytical in terms of data collection. In order to collect data, 15 factors were identified as the most important factors by first reviewing the theoretical foundations and the views of 20 experts as members of the Delphi panel. It should be noted that the statistical population of the research is Al-Qadisieh University in Divaniye city, and the target sample was selected by purposive sampling method and applying indicators such as experience, proficiency participation willingness and ability as well as accessibility. The tool of data collection is a researcher-made questionnaire. In order to analyze the data, structural interpretive modeling method was used.

The results of the research showed that senior management support for entrepreneurial activities, supportive organizational structure in order to facilitate creative and innovative behaviors and commercialization measures, and establishing supportive and flexible laws in the field of entrepreneurship, intellectual property rights and commercialization as the most important effective factors. In the development of academic entrepreneurship in Iraq, it is known in the present research.
 

: By showing its desire and motivation in the development of academic entrepreneurship and manifesting this motivation in  terms  of a series of key actions, the university  could   be very fruitful in advancing the intended goals and developing academic entrepreneurship, and considering the nature of academic entrepreneurship, the university   will play the main role in this process and until this desire and motivation from the university towards  academic  entrepreneurship is not seen by the government and other actors, we  may not  expect to advance the goals of  academic  entrepreneurship

The purpose of this research is to investigate the role of transformational leadership style on organizational agility and academic entrepreneurship through the demographic characteristics of gender, age, work experience, employment status and education.

The current research is based on the objective of an applied type and in terms of a quantitative method, it is a descriptive-correlation type, which was conducted as a survey in the field of research variables. The research population includes employees and managers of Shiraz University, and the statistical sample includes 288 of these employees, including 126 managers and 162 employees, who were randomly selected and analyzed.

The results of the current research, showed that there is a positive and significant relationship between the components of transformational leadership style and organizational agility with academic entrepreneurship of employees in Level 01/. There is; There is no significant difference between the components of organizational agility and academic entrepreneurship based on gender, age, education, work experience and type of employment status.

By conducting this research, it was found that the staff of the faculty of humanities and staff had higher organizational agility and the staff of the faculties of educational sciences and psychology, humanities and staff had higher organizational entrepreneurship than other employees of Shiraz University. Also, regarding the variable of transformational leadership style, only the component of individual consideration in one step and regarding the variable of organizational agility, the components of responsiveness, organizational flexibility and competence in three steps have the highest multiple correlation with predicting academic entrepreneurship of employees.

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 poor economic situation and the reduction of job opportunities have pushed universities towards academic entrepreneurship and commerciali-zation of knowledge. Nevertheless, the evidence shows there are many obstacles in the way of academic entrepreneurship, especially in some disciplines. Identifying obstacles to academic entrepreneurship is the first step toward its development. Therefore, the purpose of the current research was to identify the obstacles to academic entrepreneurship in the field of knowledge and information science. The current research was of an applied type which was conducted using the qualitative method of ground theory. The research community was the knowledge and information science faculty members at Iran's governmental universities. The sample members were selected by purposive sampling method. The basis for selecting the sample members was that they have at least five years of work experience as faculty members and have scientific records in fields with entrepreneurial orientation. A semi-structured interview was used to collect data. The interview processes continued until reaching theoretical saturation after interviewing 16 faculty members. Regarding academic rank, 4 of the sample members were professors, 7 were associate professors, and 5 were assistant professors. By analyzing the interview data, 90 primary codes were identified, and these codes were categorized into 12 sub-categories and three main categories. Macro obstacles, academic obstacles, and individual obstacles were the three main categories that hinder entrepreneurship and commercialization of knowledge in the field of knowledge and information science from the point of view of faculty members. Major obstacles were formed from 4 categories: economic factors, political factors, cultural factors, and strategic factors. Academic barriers consist of 4 sub-categories: university structure, university regulations and rules, university education, and course content. Individual obstacles also include 4 subcategories: scientific skills, communication skills, psychological skills, and entrepreneurial skills.   The present research has identified the most important obstacles to entrepreneurship and commercialization of knowledge in the field of knowledge and information science by studying the views of faculty members in the field of knowledge and information science. Although some obstacles to academic entrepreneurship, such as macro obstacles, are beyond the authority of faculty members and experts, by strengthening and investing in things that are under their control, such as individual obstacles, they can move towards academic entrepreneurship. Generally, the findings of this research can help in better planning for increasing academic entrepreneurship and commercialization of knowledge and removing its obstacles and shortcomings.

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.

The attractive concept of an entrepreneurial university represents a university that provides opportunities, situations, cultures and beneficial procedures to encourage and accept entrepreneurship among students and other members of the university. The purpose of the research is to identify the indicators of entrepreneurial university in Persian Gulf University based on Gibb's model. The research method is survey and descriptive. The statistical population of the research is a combination of managers, employees and professors of the university. The statistical sample was estimated through the formula of the sample size of 117 people and were selected by available sampling method. To collect data, standard Gibb questionnaire was used and SPSS software was used for data analysis. The results show that the indicators of the university's vision, mission and strategy; governance and administration of the university; The structure and organizational plan of the university; Multidisciplinary and transdisciplinary; Management of stakeholders and community values; graduates; knowledge transfer; Center for growth and risk financing in university-derived companies; Internationalization and entrepreneurial education and investment education in Persian Gulf University are in an unfavorable situation. The results of the research show that among the indicators of entrepreneurial university, the indicator of stakeholder management and community values has the greatest impact on the development of Persian Gulf University as an entrepreneurial university.

The purpose is the effect of emotional and organizational intelligence on academic entrepreneurship. This research is applied in terms of purpose and descriptive of the survey type based on the method. The statistical population includes faculty members of Islamic Azad Universities in Golestan province who have at least a specialized doctorate degree with the rank of assistant professor, which were 638 people. The sample was 240 people based on Cochran's formula, using a stratified random sampling method according to the degree of the university unit as a statistical sampl. The data collection tool was researcher-made academic entrepreneurship questionnaire, Bradbury and Graves emotional intelligence questionnaire, and Albrecht organizational intelligence questionnaire. The formal and content validity of the tool was checked and confirmed by experts emotional intelligence and organizational intelligence were calculated as 0.71, 0.72 and 0.80 respectively. To analyze the data, sample t-test, exploratory factor analysis and structural equations were used using SPSS and Lisrel software. Based on the results of exploratory factor analysis and calculated factor load, academic entrepreneurship has three organizational, individual and group dimensions and 10 components of organizational climate, organizational competence and entrepreneurial intention; communication competence, strategic competence and professional competence; Willingness to entrepreneurship is commitment competence, personal competence and conceptual competence. The results of the research showed that the average obtained from the examination of the variables of academic entrepreneurship, . The results of the structural equation model showed that emotional and organizational intelligence had an effect on academic entrepreneurship, and the fit indicators were confirmed

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.

The importance of Knoeledge based Spin-offs and their economic and social impact through the commercialization of university based research has long been a topic of interest to academics and policymakers. The increasing role of knowledge, innovation and technology in economic and social development has caused the relations between academia, industry and government, Both in terms of structure and in terms of today 's conditions, These three institutions, while functional, undergo a fundamental transformation.university, as a base for scienceproduction , should explain entrepreneurial knowledge according to economic and social issusand with careful planning and policy-making and the need for research support, use the results of university research in Knoeledge based Spin-offs. Today, Knoeledge based Spin-offs are considered in the new generation mission of most universities and as a major commercial and economic value, it is considered a factor in the application of academic research and its important role in the transfer of technology and knowledge. The purpose of this study is to introduce and study the concept, role and types of reproductive knowledge based Spin-offs. The results of the study showed that are knoeledge based Spin-offs defined as new firms to exploit the business, technology or research results that were developed at a university. knoeledge based Spin-offs are important for five reasons: they promote their regional economy, they contribute to university technological development, they assist universities in acquiring the core research and training mission, providing more income for universities than allowing technology to come to the outside companies. Also in the classification that has been done for knowledge based Spin-offs, these companies are divided into three categories: inventor-centered; Buyer-centric and investor-centric are divided.

The present study aims to design an international academic entrepreneurship model using grounded theory. The study population is a group of key Iranian informants, faculty members, and doctoral graduates with scientific expertise and work experience in the field of entrepreneurship, especially academic entrepreneurship and international entrepreneurship, and managers of knowledge-based academic companies with experience. International and scientific background, 18 of which were first selected by the targeted method and then by snowball method and theoretical sampling for study. MAXQDA12 software was used to analyze the data. According to the research results, the pivotal phenomenon of university entrepreneurship "internationally has four dimensions of development, structure, behavior, and process" which is influenced by economic, managerial, and cultural issues. For the success of international academic entrepreneurship, we need to adopt a financial and legal strategy, operational strategy, international strategy and policy strategy that leads to economic, scientific and cultural consequences in the country. Financial and economic platforms, support and appropriate policies in a changing environment and intense international competitive environment help international academic entrepreneurial strategies to be operationalized with the right conditions. In this regard, there are scientific, human, managerial, legal, structural, and financial challenges and obstacles that by identifying and eliminating them, it is possible to help improve the dimensions of international academic entrepreneurship and its strategies.

Institutions are one of the key factors of the ecosystem of academic entrepreneurship that have an effective role in the growth and development of academic entrepreneurship. The purpose of this article is to explore and analyze the institutional dimensions of the academic entrepreneurship ecosystem. The University of Tehran as one of the top long-standing universities in the country. This university is selected for research as a case study. In order to collect tacit knowledge and information of experts, the 26 experts are interviewed. The study strategy for this research is data theory and the approach of data collection is descriptive-explanatory studies. In this framework, the coding analysis method used for data analysis. The institutional components of the university entrepreneurship ecosystem were identified. Then, using field findings, the model of university entrepreneurship ecosystem with the focus on institutions has been designed and analyzed. Institutions structure human interaction. Institutional structures play an important role in the formation of productive, non-productive and destructive forms of entrepreneurial ecosystem. For this reason, countries with weak institutional structures have unproductive entrepreneurship or, in some cases, destructive entrepreneurship. Hence, institutional change is the main cause of entrepreneurial change. In this way, institutions influence the nature and results of entrepreneurship by setting the rules of the game. The findings of this study identified and classified in three levels: national, industry and organization. The main institutional factors of the academic entrepreneurship ecosystem at these levels are in the national level include: good governmental, political, economic, cultural, judicial and legislative institutions and in the industry level: industry, market institution and facilitating organizations and in the organizational level: management, technology, culture, regulation and finance institution.

The present study was conducted with the aim of a phenomenological investigation of the barriers to entrepreneurship in the Human Sciences at university. The research method was qualitative with a phenomenological approach. The study population included experts in the field of human sciences and humanities. The purposeful research sampling method was done, which was saturated theoretically with 12 people. The data collection tool was a semi-structured interview. The research reliability of the data was confirmed by the criteria of Lincoln and Guba (1985) and also the method of Denzin (1978) and Patton (1999). The data analysis was an inductive method using a seven-step put forth by Colaizzi (1978). The results showed that in the dimension of employment, two distinct, opposite, and consistent views of the business of the humanities were appreciable. In the category of social acceptance, reduced social status, applied reductions, cultural, spatial planning, discretion in the discourse of the humanities, unknowing social knowledge, and knowledge in the university. In the category of the developmental infrastructure of these sciences, we can refer to objective growth, gender reversal, functional capability, digitization, conflicts of power. In the category of humanities development, lack of the issue, the ability of humanities research, the entrepreneurship of the humanities, the possibilities for the internationalization of these sciences, and the emergence of interdisciplinary science can be enumerated.

This study aims at designing a quality assessment model with academic entrepreneurship development approach.The mixed method (qualitative/descriptive Grounded Theory and quantitative / descriptive-correlational) is used to do this research. Its statistical population in qualitative section included 12 experts in entrepreneurship field selected by snowball method and they participated in data collection by deep interviewing tool until reaching the theoretical saturation level. The statistical society in its quantitative part includes professors and experts in entrepreneurship field at public universities of Tehran in academic year of 2017-18. The statistical sample is determined using Cochran formula, and 113 researcher-made questionnaires are distributed to collect data. The research validity and reliability in quantitative and qualitative sections are confirmed. To analyze data, coding method (open, axial, and selective coders) is used in qualitative, and the structural equation method in quantitative section. The research results reveal that quality assessment in universities may be investigated in two categories of internal factors(educational content, entrepreneurial leadership, human resources, educational justice, quality of evaluation, performance feedback, quality of information technology, quality of physical space) and external factors(Economic factors, social factors, cultural factors, geographical factors) to be examined and influenced.Furthermore, the quality assessment of universities for the academic entrepreneurship development have implications (commercialization, accountability, entrepreneurial skills development, value creation, and economic development).

The altered state of today’s world such as increased population, changed cultural patterns, political effects, etc., has affected the economy in some countries and made them somewhat detrimental. According to most scholars, academic entrepreneurship < br /> and then knowledge commercialization, especially in countries that lack basic funds such as oil, gold, etc., or in communities with no practical mechanism to manipulate the existing initial sources, can be effective. Nevertheless, theories have said poor strategic management and constraining structural factors to be the two main factors in the prevention of entrepreneurship. The present study was designed to give an insight into how strategic management and structural factors are related to academic entrepreneurship. The data was collected using questionnaires prepared by the researcher. The population of the study included all academic units in Payam Noor University, Area 2 (48 branches) studied in a census and the data were analyzed using SPSS software. It was indicated from data analysis that there is a significant relationship between all the variables and components. Finally, the researcher tried to design a model which can explain academic entrepreneurship to the greatest extent. This model was analyzed using neural network. The findings of the study suggested very high fitness for the model.