جستجوی مقالات مرتبط با کلیدواژه « تجاری سازی دانش » 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 purpose of this research is to design a model for measuring and valuing technical knowledge in the halal food industry. The present research is applicable in terms of purpose, and a mixed research (qualitative-quantitative) exploratory. The statistical population of the research in the qualitative part included 20 scientific experts and executive experts of the halal food industry, who were selected by non-probability judgmental and purposeful sampling. The statistical population of the quantitative part included 250 people from the food industry experts of Tehran province, among whom 152 people were selected using the Cochran formula and selected as the sample size by cluster random sampling method. The data collection tool in the qualitative part included a semi-structured interview, and in the quantitative part, a researcher-made questionnaire. The validity of the interviews was confirmed through retesting. And the content validity of the quantitative part of the questionnaire was also confirmed by the experts. In order to analyze the data of the qualitative part, the theme analysis method was used, and SPSS and PLS software were used for the quantitative part. The results showed that the measurement and valuation model of technical knowledge in the food industry consists of four main dimensions including: factors related to the company/organization, factors related to the extra-organizational environment, factors related to the nature of technology, and factors related to the technology market; along with 15 components and 72 indicators. The results of the research in the quantitative part also confirm the significant relationship between the dimensions, components and indicators of the final research model.

Measuring and valuing technical knowledge is one of the important and difficult activities in the process of commercialization of knowledge. This research was conducted with the aim of designing a model for measuring and valuing technical knowledge in Iran's food industry.

The research is developmental in terms of purpose, practical in terms of results, and mixed (qualitative-quantitative) in terms of data type. The research participants in the qualitative part included 20 scientific experts and experts in the field of technology management and executive experts of Iran's food industry, who were selected using non-probability judgmental and purposeful sampling. Cochran's formula, the sample size of 152 people was determined and selected by random cluster sampling method.

The results showed that the measurement and valuation model of technical knowledge in the food industry includes four main components:factors related to the company/organization, factors related to the extra-organizational environment, factors related to the nature of technology, and factors related to the technology market. It is with 71 indicators.

The results of the research can be useful for measuring and valuing technical knowledge and improving it in companies related to this field and provide a suitable field for other researches.

The entrepreneurial ecosystem, including actors and related factors, creates productive entrepreneurship in a specific territory. Among these actors, universities can play an important role in the knowledge-based economy; therefore, they could be a factor in the dynamism of the regional economy. The purpose of this descriptive survey was to investigate the effective academic factors in making a regional entrepreneurial ecosystem. To this end, 306 faculty members were randomly selected from Islamic Azad Universities in Isfahan province. The data collection tool was a researcher-made questionnaire. Its face validity was confirmed by the research supervisor, and two experts. Applying Cronbach's alpha, the reliability was found to be 0.812. In order to test the research hypotheses, data analysis in LISREL software environment was performed by applying structural equation model tests, exploratory and confirmatory factor analysis, and one-sample t-test. The findings of confirmatory factor analysis showed that the identified main factors and components were cultural factors including promoting entrepreneurial culture, entrepreneurship education, skill training; underlying factors including human capital, knowledge production, knowledge transfer, knowledge commercialization; and structural factors including networking, growth centers and technology transfer offices, and spin-offs, which were considered as effective variables in creating a regional entrepreneurial ecosystem. Using One Sample T-Test, the individuals' views on the impact of factors in making a regional entrepreneurial ecosystem were examined. In total, effective academic factors had a significant effect on creating a regional entrepreneurial ecosystem. Finally, based on the results of this study suggestions and recommendations for further research have been proposed.

The purpose of this study is the role of organizational ambidexterity in knowledge commercialization in order to provide a model. The research method was applied in terms of purpose and exploratory (qualitative-quantitative) in terms of data type. The research community in the qualitative section analyzed knowledge commercialization documents using inductive content Was analyzed. After extraction the components from the existing literature, the questionnaire was given to 28 of and specialists experts and university of Experts working in growth centers in Mazandaran province province, Targeted to achieve theoretical saturation which were selected by sampling method. Data were collected through a semi-structural and holding questionnaire from two Delphi panel periods. Then it was and analyzed by Delphi technique. The statistical population in a part quantitative included all faculty members of the Islamic Azad University of Mazandaran province with 1531 people. Using stratified random sampling method and based on Cochran's formula, 308 people were selected as a statistical sample. The tool for collecting the questionnaire was researcher-made. Based on the findings, dimensions, components and indicators of knowledge commercialization based on organizational ambiguity in the form of 4 dimensions And 10 components and 83 indicators were identified.

The aim of this study was to identify and evaluate knowledge commercialization indicators with an international approach in knowledge-based companies in Tehran. The research was applied in terms of purpose and based on the nature of the data was mixed (quantitative and qualitative). The statistical population in the qualitative section included entrepreneurship professors and experts of knowledge-based companies, and 15 experts were selected using purposive sampling method. The statistical population of this study in a small part included all managers and experts of knowledge-based companies located in technology parks located on the university campus, 175 people were selected by random sampling and snowball sampling. In a small part, a researcher-made questionnaire was used. The validity and reliability of both instruments were evaluated and confirmed. Data analysis method in the quantitative part, for the validity of the model from confirmatory factor analysis and structural equation model and the results of the research showed that the indicators include, institutional readiness, macroeconomics, firm or company, value utilization, value proposition, concept explanation Support services, idea generation, ecology, intellectual capital, technological entrepreneurial capacity, business management capability and network quality were in good condition.

The dependence of research on the state budget on public universities has caused the government's economic problems in recent years to adversely affect the status of academic research. Therefore, managers of public universities should prioritize the use of other research funding methods, including attracting funds from the private and industrial sectors and taking a strategic approach in this regard. The purpose of this study was to design and explain a strategic decision-making model for financing research projects to Improve the research projects of the University of Tehran.

The research method of this article is qualitative and qualitative data were collected through semi-structured interviews with experts and study of articles and texts. In order to extract the main metrics and structures of the model, the data were analyzed using the theme analysis method. Thirty-four interviewees were selected using the snowball method.

Based on the results of the research, 10 main structures consisting of 33 measures constitute the model components.

Components of strategic decision-making model for financing research projects of Tehran University include: internal and external university communication, idea-to-product chain, Requirements before implementing, review and selection of strategies, structural reform strategy, financial strategy, Collaborative Strategy, Research Results Optimization Strategy, HR Strategy and Evaluation.

It is a fact that companies need the scientific and technological achievements of different universities, but the commercialization of university research cannot be successful, given the many academic research proposed by universities for Meet the real needs of companies as well as markets.

The purpose of this study was to identify the components of commercialization of knowledge in order to provide a model for higher education in the country.

The research method was a sequential exploratory combination. In the qualitative section of the study, the subject analysis of inductive loading was used. The inferential statistics of the confirmatory factor analysis were used. Regarding the Chi-square fitting, comparative fit, adaptive fit, and Holder model, the fit was appropriate.

In this research, three main themes of wealthy culture, university of wealth and observatory were identified, in which the rich content of rich culture included two themes of support and selection. The comprehensive content of the wealthy university consists of two organizing themes Business thinking and orbital quality, and the overwhelming content of the observation site needed to include two themes of equalization of interests and positioning.

According to the main themes extracted, it can be said that the development of the university in order to provide the facilities and training of the staff, taking into account the needs of society and the market and the three-way communication between the university, government and industry, are key factors in the creation of knowledge commercialization In higher education

One of the most widely used fields of knowledge management is the commercialization of knowledge. This research, with the help of scientometric techniques, identifies the effects of knowledge in the field of knowledge commercialization. This research is a kind of scientometric. Initial data were obtained from the Web of Science (WoS) database to investigate the historical roots of published works in the field of commercialization of knowledge. Then, the main roots of this filed, the amount of received citations, and influential works were identified using RPYS software. Next, with the help of the yearcr software, the extent of the effects of the works outside of the range of peaks were also introduced. The period under investigation is the publication in the years 1900-2015. By searching published works in the time period of 1900-2015, 1550 records related to commercialization of knowledge were retrieved. The total number of citations up to the time of the present research was 39817, which resulted in the emergence of five peaks in the years 1934, 1962, 1973, 1998, and 2003. The present project has introduced the influential works in the field of commercialization of knowledge. Identifying the influential effects in the field of commercialization of knowledge makes it possible to identify the main origins and subfields of knowledge.

This paper presents a structural model for the commercialization of knowledge took place in private universities. The study of the purpose and the method of collecting data was crosscorrelation. This study done has been mixed. The quality and the use of expert opinion through semi-structured interviews and the results of the analysis of interviews and a questionnaire was developed to account for commercialization index was 109. Exploratory factor analysis of variance factors and matrix rotated, 5 of intersectoral collaboration, knowledge creation, intellectual capital, strategic orientation, knowledge of factors affecting business were identified. Factors and factors identified in the Structural Equation Modeling and partial least squares (PLS) was analyzed And after determining the impact of each factor on the business aspects and components of knowledge was evaluated. Results showed that external factors, intellectual capital, knowledge creation, intersectoral collaboration, strategic orientation and the ability to have a positive and significant relationship TjarySazy knowledge with the commercialization of knowledge.

Commercializing Academic studies and research is a Process that needs trilateral cooperation among university, industry and government. Academic institutions by responding to social needs and helping to boost economic development, improve their public image. Concurrent with the development of research activities, especially in the field of new technologies, new perspectives are formed that In such circumstances, a new form of companies have emerged as Reproductive Companies. Reproductive Company is a kind of new business that is the result of separation from university. The present study was an attempt to investigate the effect of environmental factors on the success of academic reproductive companies of Isfahan Scientific and Research Town.This study is practical in purpose and is a descriptive-survey one the from research methodology perspective. The population consists of 256 companies. A sample of 148 companies was selected. The sample size was determined through the Morgan Sampling Table. The sample members were selected randomly. In order to collect the research data, a researcher-developed questionnaire was developed. The questionnaire consists of 45 questions. The validity of questionnaire was measured through both content and construct validity. Also the reliability of questionnaire was measured through Cronbach’s Alpha Coefficient. The coefficient was 0.916 which confirms the reliability of the questionnaire. The research data were analyzed through AMOS. The findings revealed that factors like the governmental rules, parent universities, and regions affect the company success. Among the sated factors, region, state laws and parent university have the highest impact on the success of these companies, respectively.

Nowadays, knowledge and technology are considered as two main factors in creating wealth for and capability of countries and are regarded as powerful tools in national development. Therefore, a university, as a knowledge-producing institution, must fulfill its responsibility toward national development and adapt its structure to national development plans. One of the most important entrepreneurial aspects at a university is the entry of academic activities in the field of business and knowledge commercialization. The main purpose of this research is to identify the obstacles in the way of commercializing knowledge in the university entrepreneurship through a qualitative study. To this end, the qualitative method of content analysis has been implemented. The findings illustrate that the main obstacles are: lack of competition at universities, negative attitude to commercial thinking, inefficiency of laws and regulations, weaknesses in educational system, lack of trust between university and industry, financial problems, lack of skilled workforce, lack of familiarity with the real environment and lack of facelities for research purposes. Finally, some suggestions have been presented to develop the university entrepreneurship and knowledge commercialization.

Industrial and economic improvement of each society depends on its organized and conducted researches. In this regard, the significant role of commercializing process is discussed here. The concepts, processes and models of commercialization in great universities are reviewed here. For this, the Grounded Theory is applied, on the collected data. The data are obtained through interviewing with faculty of management departments, and snowball sampling method. They are categorized into three groups: necessities, obstacles and requirements of knowledge commercializing. Eventually a new applicable knowledge commercializing mechanism is proposed for Iranian management Schools/departments.

The importance of knowledge as the main competitive advantage in the world economy and necessity of participation of universities, as the major knowledge generation institution, in national and regional economic development and also the need for income generation and knowledge commercialisation for survival of universities, will demand the urgency of compiling a proper pattern of commercial knowledge transfer. This paper examines the methods of five top universities of the world based on The Times Higher Education-QS 2007 ranking (Harvard, Yale, Oxford, Cambridge and Imperial College of London) to compile a benchmarked pattern and rank extracted factors from this pattern according to experts’ viewpoints. Results of this study show that “incentivizing of income sharing” is the most important factor in promotion of knowledge commercialisation and academic entrepreneurship; then “networking”, “financial supports”, “proper structures”, “the faculty freedom of action” and “physical supports” are placed in subsequent ranks.

In recent years, the importance of Small and Medium-Sized industries has increased in both the industrialized and developing countries. In Iran, the importance of SMEs is well recognized. Therefore, governments can present some support mechanisms for SMEs, which will contribute to solving a considerable part of unemployment problem and providing assistance to increase national production and exports and developing entrepreneurship as well. To this end, this important goal requires channeling the governmental aid properly so as to pave the way for social justice and poverty alleviation. In this paper, we pick budget allocation indicators and then determine goals in model programming by using the indicators which are obtained from their weights via an analytical hierarchy process. In this manner, we use the team AHP to identify the significance of each economic sector separately in each province (industry, services & agriculture). Finally, we detect the ideal model by using Lingo software.