جستجوی مقالات مرتبط با کلیدواژه « اکوسیستم کارآفرینی » در نشریات گروه « مدیریت »

The aim of the current research is to Designing an entrepreneurial ecosystem model in the university with a knowledge-oriented approach. According to its purpose, the research method is applicable; and mixed (qualitative-quantitative) in terms of its implementation. The statistical population in the qualitative section includes 20 academic experts who are knowledgeable about the entrepreneurship ecosystem, using a targeted sampling method; and in the quantitative section, it includes 384 people from all managers of Islamic Azad Universities across the country. Data collection in the qualitative part was done through semi-structured interviews with the members of the statistical community, and in the quantitative part was done through a questionnaire. Data analysis was done using ATLAS TI software in the qualitative part, and partial least squares method in the SPSS and PLS software in the quantitative part, and factor analysis method was also used in data analysis. The results in the qualitative part showed that 67 primary codes, 11 basic themes, and 5 constructive themes are identified in most infrastructure and support clusters (2 themes), integration of technology and knowledge (2 themes), education and culture (3 themes), policy and planning. (2 themes), and integrated management (2 themes); and relationships between them were drawn and presented in the form of a paradigmatic model. The results of the quantitative part showed that 5 indicators and 11 components with factor load, average extracted variance, and convergent validity are higher than (0.4), Cronbach's alpha coefficient and composite reliability are higher than (0.7), significant t coefficients is higher than (1.96); all were confirmed, and the model has a strong fit.

The entrepreneurial ecosystem provides a growth model for entrepreneurs and by determining related indicators and elements, it identifies opportunities and threats and provides the basis for the growth of entrepreneurial activities. The aim of the current research is to develop the entrepreneurial ecosystem model with the approach of employability of knowledge-based businesses based in Science and Technology Park of Tehran University. In this regard, through interviews with 20 academic experts and entrepreneurs related to the field of research, the field under study was investigated with a qualitative method. The analysis of information in the qualitative section has been carried out by the method of theme analysis. The results of the research showed that the entrepreneurial ecosystem model can be designed with the approach of employability in six categories of human capital, financial capital, market capital, cultural capital, political capital and support capital, and each of these sectors had different subsystems. It was also concluded that paying attention to the development of the entrepreneurial ecosystem model has results such as the development of innovation and entrepreneurship and the creation of sustainable employability.

This study mainly aims to validate the framework of the entrepreneurship ecosystem of science and technology parks in Iran. The purpose of this study is to improve the infrastructures and achieve the vision of the science and technology parks, managing and directing the interactions among different factors involved for creating sustainable value, entrepreneurial opportunities and business scalability. In terms of purpose, the current research is applied and has a descriptive approach of the correlational type, with a qualitative strategy of a sequential exploratory type. The statistical sample in the qualitative section was purposeful and theoretical in the form of interviews with 15 experts in the field of entrepreneurship and science and technology parks in Iran. In the quantitative part, 181 managers of parks and technology units, and other key people involved in this ecosystem participated. The reliability and validity of the researcher-made questionnaire was measured using Cronbach’s alpha and the average extracted variance were above 0.845 and 0.604, respectively. The findings show that causal factors (characteristics of local structures, entrepreneurship policies and local entrepreneurship indicators), contextual factors (financial, human resources, physical and intangible infrastructure, capacity building, promotion, enablers) and intervening factors (adaptability, tension removal, resilience) predict 0.487, 0.541 and 0.634 of changes in strategies (interactions within and outside the ecosystem), respectively. The axial category predicts 0.798 of changes in strategies. Strategies also predict 0.782 of changes in outcomes (wealth creation, workforce, and businesses). The science and technology parks are suggested to consider the aforementioned

The study of science and technology parks literature shows that approaches based on regional economy, technological and industrial clusters, and innovation systems are the basis for creating science and technology parks. The main idea of the formation of science and technology parks is to develop technology and entrepreneurship and promote innovation culture through managing the flow of knowledge and technology between universities, research institutes and private companies and the market. In the past years, many policymakers, academics and company managers have increasingly recognized the benefits of regional entrepreneurial ecosystems. Accordingly, the concept of entrepreneurial ecosystem means thinking and action have been used to design entrepreneurial policies. Examining the research reports indicates that a small number of technological businesses enjoy parking services in the life cycle of the company, which is caused by two categories of factors, the first includes the macro issues, such as reduction of government budgets, lack of management efficient systems, sanctions and bottlenecks in international communication, lack of participation of the private sector, and the second includes lack of experience of the park headquarters in managing technology and innovation, crisis management and solving upcoming challenges, and issues such as managing interactions, resilience and sustainability of businesses. Hence, the purpose of this research is to provide a framework for evaluating the entrepreneurial ecosystem of science and technology parks, because according to the experiences gained, providing the framework prevents the partiality and insularity of science and technology parks in drafting programs to support entrepreneurial processes and minimizes parallel work and waste of resources.
The research is qualitative and based on systematic grounded theory. The data of the research was collected through semi-structured interviews including 15 experts in the field of entrepreneurship and science and technology parks of the country until reaching theoretical saturation and purposeful sampling was done by theoretical and snowball method. The statistical population of this research consists of experts related to the field of research. Sampling is also purposeful and in the form of snowballs. Sampling continued until theoretical saturation was reached. Furthermore, results evaluation criteria are as follows: 1. Matching, 2. Ability to understand, 3. Ability to generalize, 4. Control, 5- Practical relevance, 6- Efficiency, and 7- Modifyability. For determining the overall validity of the model in this research, the ratio test wass used to measure the validity of the ground theory.
Data analysis was also done with the Strauss and Corbin approach in three stages of open, axial and selective coding. The result showed that causal-conditions (characteristics of ecosystem place structures, entrepreneurship policies and ecosystem place entrepreneurship indicators), contextual-conditions (financial, human, physical and intangible infrastructure, capacity building, promotion, enablers), Intervening-conditions (adaptability, elimination of tension, resilience), strategies (inside- and outside- entrepreneurial ecosystem interactions), outcomes (wealth creation, workforce, businesses), pivotal include, evaluation the entrepreneurial ecosystem of science and technology parks (with  indicators of support, mediation, technical opportunism,  and help for explotation of opportunity).
Unfortunately, science and technology parks rarely evaluate the entrepreneurial ecosystem created by themselves and only rely on performance evaluation results. A short-term solution in this field is to sensitize the officials of the parks and the Ministry of Science to the issue of the entrepreneurial ecosystem, so that they consider the evaluation of the entrepreneurial ecosystem along with the evaluation of the park’s performance, because the most important task of the park is streamlining and creating stable connections
to carry out its missions. Considering the financial constraints and the threatening environmental conditions of the country, the best strategy is to use the capabilities of the ecosystems in a win-win relationship to advance the park’s goals.The proposed framework can be used as a basis for evaluation the establishment or development of entrepreneurial ecosystem of science and technology parks. To this end, the following suggestions are presented: 1. It is suggested that in future research, the framework presented in this research should be used to evaluate the entrepreneurial ecosystem of other Science and Technology Parks of the Ministry of Science across the country with a wider population and statistical sample and compare the results with these results. 2. It is suggested to conduct comparative studies to take advantage of the situation of other countries in evaluating the entrepreneurial ecosystem of science and technology parks in the world. 3. It is suggested that the evaluation framework of the entrepreneurship ecosystem of science and technology parks related to executive bodies and specialized parks be designed and its results be compared with this research

Today, in our country, the word entrepreneurship is used to present various shows of employment. However, its development in society is not obvious. In the world, entrepreneurial education is used to create a correct understanding and increase the intention of entrepreneurship. This research aims to design a model of an entrepreneurial school with an emphasis on the establishment of an entrepreneurial ecosystem. This study was conducted using a quantitative approach and a descriptive correlation method.To this end, 151 experts in education, technical and vocational education, and faculty members in related fields participated in the available sampling method. A researcher-made questionnaire was used to collect data, and factor analysis (exploratory and confirmatory) was used to present the model. Model fit tests were used to validate the model. The validity of the questionnaire was examined through factor analysis, and the reliability of the questionnaire was examined using Cronbach's alpha coefficient. Finally, the entrepreneurial ecosystem, curriculum personalization, stakeholder commitment, entrepreneurial teacher, entrepreneurial leader, school accelerator, value-creating goal, co-working space, networking, and entry system were extracted as ten factors explaining the entrepreneurial school construct.

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.

Today, policy makers have started to study the required competency of a system which supports entrepreneurship with high growth. An emerging approach has focused on entrepreneurship ecosystems. Accordingly, the current research aims to determine the causal relationships of the entrepreneurship ecosystem dimensions in order industrial development by using ISM. The research method is descriptive and the sample was gathered by targeted sampling method. Furthermore, 143 ones and 15 experts were selected for confirmed section and Structural-Interpretative Modeling (ISM) section respectively. A questionnaire was used to collect data. Its validity and reliability was confirmed; then it was distributed among the members of the statistical sample. In order to analyze the data, confirmatory factor analysis and Structural-Interpretive Modeling was applied. The results show that accessible markets such as the domestic market and the international market are placed in the first level; moreover, the foundations and basis of entrepreneurship ecosystems such as budget and finance, universities as catalysts, intellectual capital and labor, education and cultural support should be enhanced for gaining access to these markets.

The sustainable entrepreneurship requires exploration and exploitation activities with the best results in developed or developing markets. The digitalization of businesses is a window of opportunity that has been opened in entrepreneurial ecosystems and has provided countless benefits to businesses, including interaction with new players, access to extensive knowledge resources, risk reduction and legitimacy for businesses in different levels. In this research, we conducted  a systematic review using the prisma technique and means of scientometric (co-occurrence of words). We searched existing documents available in the Scopus database for a period of 1988 to 2022. We found  612 ducuments (articles, books, etc.) and used bibexclel  1.0.0.0 and VOS viwer 1.6.10.0 software. Based on the analysis of the scientific maps,the model of development of the specific research gap and emerging areas include “ policy, financial resources, netwok and base, support,, skill, knowledge, culture, human resources and market” It is hoped that this research can suggest some valuble intuitions for key elements in the entrepreneurial ecosystem.

The aim of the present study is to develop a model of entrepreneurial ecosystem in tourism businesses in Mazandaran province. The study is applied in terms of its purpose and considering the methodology, it is descriptive-survey with a mixed methods approach. First, using Meta-synthetic and Delphi methods, the qualitative model was developed including 34 components in six dimensions of politics, culture, support, market, financial capital, and human capital. Then, in the quantitative section, in order to assess the fitness and validity of the proposed model, Confirmatory Factor Analysis (CFA) was conducted by using Lisrel. In the qualitative and qualitative sections, sampling methods, was purposive and convenience, respectively. In the qualitative section, 15 experts and in the quantitative part, 103 entrepreneurs and people engaged in tourism businesses in Mazandaran province, participated. Results of CFA indicated that the proposed model, enjoys goodness of fit. Culture with 0.9 factor loading had the strongest effect while human capital (0.75) had the least effect on explaining the tourism entrepreneurial ecosystem structure. Additionally, to evaluate the current tourism entrepreneurial ecosystem in Mazandaran based on the same model, one sample t-test was utilized. Results of the t-test demonstrated that the tourism entrepreneurial ecosystem of Mazandaran is at its infancy. Thus, in order for the tourism entrepreneurial ecosystem to function properly, it is suggested that all sub-systems should develop and grow together so that the potency of the ecosystem may increase via synergy.

An entrepreneurial ecosystem is a self-organized, adaptive, geographically limited community composed of complex agents operating at multiple and cumulative levels whose non-linear interactions lead to patterns of activities through which new ventures emerge. The present research aims to explain the factors that influence the creation of an entrepreneurship ecosystem in less privileged rural areas of Asad Abad in Hamedan province, Iran using the Interpretive Structural Modeling (ISM) technique. Out of the rural entrepreneurship experts and scholars, 15 people were selected purposefully for a semi-structured interview. Based on the content analysis using the ISM technique, the factors underpinning the creation of an entrepreneurship ecosystem in the less privileged areas were determined and leveled. Based on the results, the creation of entrepreneurial ecosystems in less privileged areas requires the availability and implementation of macro-governance factors, individual-behavioral factors, supportive factors, sociocultural factors, financing, human capital, market, and regional capacity. The results reveal that the macro-governance factors are the most important and effective factors in developing entrepreneurial ecosystems in less privileged regions. Financing and regional capacity are the second-most important factors involved in creating an entrepreneurial ecosystem (as a representative of society) in less privileged areas.

This research has been carried out to identify the effective factors in the formation of the technology-based entrepreneurship ecosystem in the technical faculties of the University of Tehran.

First, by reviewing the extant literature, the effective factors in the formation of the technology-based academic entrepreneurship ecosystem were identified. Then, the collected items were completed by conducting in-depth and exploratory interviews with 17 specialists and experts in the research community. Using an open and axial coding method, nine main factors affecting the formation of the technology-based university entrepreneurship ecosystem were obtained. By distributing paired questionnaires among experts and with the help of the structural-interpretive modeling method, the components of the model were configured in six levels.

A six-level model was developed. The first level included the infrastructure components of entrepreneurship ecosystem development, policy and management of financial resources, intensity and level of design preparation, development and commercialization, creation and development of supporting institutions, and business development in the region. The second level included the university policy and rules component.  The market component stood in the third level. The fourth level embraced the economic factors and the business environment. The fifth level included the governance factors and the last level included the cultural component of the academic technological entrepreneurship ecosystem. It was also shown that the cultural component is the most influential factor and the infrastructure components of entrepreneurship ecosystem development, policy, and financial resource management, intensity and level of preparation for design, development, and commercialization, creation and development of supporting institutions, and business development in the region were the most effective factors in the formation of the technology-based academic entrepreneurship ecosystem in the University of Tehran.

The development of entrepreneurial culture and spirit is the base of the formation of the university entrepreneurship ecosystem. Relying on technology, it can be implemented by applying correct policies and competent management at both micro and macro levels.

Some important challenges of small businesses are limited financial resources, lack of experience in starting a business, and lack of business knowledge. A strategy to solve the challenge of small businesses is to use the capacity of large companies. Also, one of the emerging and new trends in the development of cooperation between small businesses and large companies is the use of the cooperation acceleration model. The present research was an applied study in goal and was conducted by a qualitative method based on grounded theory. The participants included 11 managers and professors who were knowledgeable in the field of business acceleration selected by purpose-based sampling until reaching theoretical saturation. To validate the findings, the raw text of the interviews was reviewed by an external observer with expertise in qualitative grounded theory research to determine the similarity of the extracted themes. The results indicated that the categories (strategic goals and definition of a joint cooperation roadmap, formulation of cooperation models and strategies, agility of procurement and legal processes, appointment of corporate mentors, gradual experimental process, testing, and cooperation partnership) would accelerate cooperation. The main contribution of the research is to provide a practical and market-oriented model of cooperation between small businesses and large companies in the ecosystem of entrepreneurship whose application will contribute to developing entrepreneurship and economic growth in society.

Entrepreneurships is one of the main drivers of the economy, which is affected both by individuals’ characteristics and the surrounding environment. Accumulating of the two factors results in a situation in which leads people to develop their creative ideas and entrepreneurship intention. On this basis, the purpose of the study is to identify and explain the impact of entrepreneurial ecosystem on entrepreneurial intention with the mediating role of entrepreneurial self-efficacy, alertness and passion. This research is an applied one from the audience dimension, descriptive from purpose dimension and cross sectional in terms of time. Its method from data collection dimension ,is correlational-causal research. The statistical population of the study was graduate students, job seekers, educated soldiers and better job seekers in Ahvaz city, in which a total of 413 people were considered as a sample. The data were collected based on a questionnaire by random sampling. Structural equation modeling using partial least squares method in Smart PLS software version 3.3.3 was used to analyze the data. Findings show that the entrepreneurial ecosystem has a significant positive effect on entrepreneurial self-efficacy, alertness and passion and the three contracts have significant positive effect on entrepreneurial intention. Moreover, the mediation role of entrepreneurial passion and alertness in the relationship between ecosystem and entrepreneurial self-efficacy was confirmed. Finally, entrepreneurial self-efficacy has a significant mediating role in the relationships among entrepreneurial passion and alertness with entrepreneurial intention.

The purpose of this study is to identify and design a tourism ecosystem pattern in Khalkhal city. The present research is based on the purpose of application and in terms of method and nature of the mixed type. The statistical population of the research includes 15 local experts working in the field of entrepreneurship and tourism. ISM and MicMac software were used to analyze the information. The results showed that each element has a different position in the two methods, depending on the type of communication with other elements that are direct, indirect and potential. Nevertheless, the design results of the final model showed that the two elements of governance and leadership, physical infrastructure, and attractions are the underlying elements of the ecosystem. In contrast to the elements of quality of life, terrestrial factors, human resources, and financial infrastructure are the predominant elements of tourism ecosystems in the region.

The development of the entrepreneurial ecosystem is a new strategy in development theories for empowerment and capacity building to achieve sustainable development, which makes it possible to operate and diversify the income of border residents and the development of border areas. Obviously, the first step in implementing entrepreneurship development policies is to recognize the entrepreneurial ecosystem at different national and provincial levels and to identify bottlenecks that erode the country's competitive advantages. The main purpose of this study is to identify and prioritize the effective dimensions in the development of entrepreneurial ecosystem in the border provinces of Iran. This research is a qualitative research and research method, case study and how to collect data is a semi-structured in-depth study with experts. The method of analyzing the data obtained from the interviews is coded and the result of this coding is 7 dimensions and 66 components. To assess the validity of the research, a group of experts and the reliability of all stages were documented by several researchers. Finally, the effective dimensions in the development of entrepreneurial ecosystem in border provinces were prioritized using a hierarchical analysis process based on the technique of pairwise comparisons. The results showed that the effective dimensions in the entrepreneurial ecosystem of the border provinces of Iran in order of priority are: financial capital, politics, support, social capital, market, culture, human capital. Simultaneous attention to all aspects of the systemic approach leads to balanced and sustainable development of the entrepreneurial ecosystem in the border provinces.

Startup businesses are being considered in a new approach to the new economy. The proper ecosystem for the formation and development of start-up work consists of a set of edges and edges that depend on the growth and improvement of the nascent business conditions. the main purpose of this research is the design of the conceptual model of smart transportation businesses. accordingly, the methodology of this research is applicable in terms of purpose, practical, and in terms of a qualitative approach using content analysis. the method of data collection has been semi-structured.for extracting, analysis, and incorporation of concepts from the coding method. finally, the findings were analyzed and compared in three alternative dimensions, axial and Open source classification. the statistical population of this research is experts and specialists and policymakers of smart transportation and university professors and researchers. according to the results of interviews, seven alternatives and 52 pivotal were identified that alternative codes are: rules and policies of governance and leadership, creation of support and institutional platforms, development of human capital, financial strategies, and financing, market, cultural strategies, and developing smart technologies.

The purpose of this study is to identify the components of the university entrepreneurship ecosystem. The method is applied in terms of purpose and in terms of collecting qualitative-compositional research information. Due to the special nature of the study, the statistical population and the volume of studies include all research studies in the field of university entrepreneurship ecosystem, which were searched with specialized keywords in time period (1387-1399) and (2008-2020) in valid domestic and foreign databases. Finally, 43 articles made it to the final analysis. In the findings, 12 primary sub-categories in the form of 33 secondary sub-categories: Entrepreneurship pedagogy (entrepreneurship training programs, entrepreneurship curricula), university research entrepreneurship (university research management, university research targeting, university research development), university entrepreneurship (entrepreneurship institutionalization, interaction development) Entrepreneurship, development of entrepreneurial events, continuous interaction of university with industry, entrepreneurial strategies, management of entrepreneurial activities), good governance (political policy, economic policy, collective governance), governance in higher education (higher education leadership, modern university management), entrepreneurial manpower ( Human capital development of faculty members, students and staff, human resource management), support and incentives (support mechanisms, incentive mechanisms), entrepreneurship tax (financial resources, financial resource allocation, financial management and planning), legal-regulatory (legal mechanisms, regulatory mechanisms) ), Hard capacities (hard intra-university capacity building, hard extracurricular capacity building), soft capacities (intra-university culture, extracurricular culture) Hey) and competitive atmosphere (intra-university competitiveness and extracurricular competitiveness) were categorized.

In the present research, it is attempted at first to review this concept by reviewing past researches and then by open, axial and selective coding and theme analysis the ecosystem dimensions and components based on studies. Internal studies were carried out by searching the scientific databases of Academic Jihad, Civilica, Normegs, and Irandoc, and 33 second-hand data were identified and analyzed. External profiles were also scanned by Scapus, with In 2008, when the first article with the keyword Entrepreneurship Ecosystem was published on this index, 110 articles were identified by 2018 and 13 articles were identified and analyzed according to the number of citations above 10 references. Regarding research innovation, the present study is the first review of the entrepreneurship ecosystem among national research, and the results show that the entrepreneurial ecosystem is a growing position, especially in recent years, between national and international research. The results of the thematic analysis also revealed the identification of 107 primary themes that were finally classified into four dimensions and 12 components.

Most entrepreneurs consider several important steps to develop entrepreneurship and value creation, including discovering and evaluating opportunities, anticipating the required capital and income But depending on type and value of opportunity the expectation of these steps can be complex, and uncertain. The aim of this study is to provide a comprehensive and efficient model for the development of the entrepreneurial process that will create value for all actors in the entrepreneurial ecosystem. For this purpose, using meta-analysis and theme analysis, the effective steps and activities in the entrepreneurial process were identified. The output of this systematic analysis is 60 themes and 12 categories, based on which the initial model of research was drawn at the level of entrepreneurship steps and activities. To determine the relationships of the model variables structural equations and confirmatory factor analysis were used ; Analysis data were prepared based on a questionnaire with 60 items and were prepared by 180 managers and experts of Sajjad Park (Tehran and Mashhad).In the next step, the research model was extracted using interpretive structural modeling (ISM). Finally, the model variables were evaluated through analytical network analysis process ANP and their importance coefficient in value creation in the entrepreneurial ecosystem or value network was calculated.

Sport has become the focus of competition between countries because of its unique role in fostering generation, public health, social vitality, business growth and media dynamism. Therefore, it is vital to study this system from the perspective of its interaction with  the government, academia, industry and society in general and the development of sports knowledge-based economy in particular. This research is aimed at designing a Quadruple Helix model of Government, University, Industry and Society for development of a knowledge-based economy in Iran's sport industry. In this qualitative research a structural-functional analysis approach has been used. The statistical population of the study comprises of 23 knowledge-based economy experts in Iran’s sports industry including university professors, managers and entrepreneurs and nine experts who participated in a Delphi Panel. They were selected on a judgmental based.method. Narrative of research evaluated and approved in three sections; sample scientific and legal validity, content validity tool and agreement between the proofreaders. We used a systematic conceptual analysis and descriptive statistics to analyze the data. Based on the research findings, it can be said that the economics of sports could not be achieved without taking into account of the quadruple spiral pattern among government, university, industry and society. In the Helix pattern,in order to have a knowledge-based economy in sports, the four systems must have active institutions, maps, and knowledge-based structures and participate in the processes as defined in this paper. In other words, an ecosystem suitable for a knowledge-based ' economy in sports will not realized unless a quadruple helix model designed and considered.