مقالات رزومه دکتر مهدی حسین پور

Collective entrepreneurship is a structured and collaborative action to strengthen entrepreneurial behavior, which itself helps to improve the quality of human resources and also helps to remove many obstacles facing entrepreneurial processes. The main goal of this research is to identify the factors affecting collective entrepreneurship in the agricultural sector.

This research is qualitative in terms of its purpose and has been conducted using thematic (content) analysis technique. The method of data collection is using semi-structured data interviews. The statistical population includes 16 faculty members of the entrepreneurship department and agricultural promotion and education department of Razi University, managers and also entrepreneurs of the agricultural sector of Kermanshah city, who were selected using targeted and snowball sampling. The data was analyzed using a three-level coding process (open, central, and selective coding).

The results of the research showed that the research model includes 8 factors influencing the strengthening of collective entrepreneurship in the agricultural sector, which was obtained by using 61 concepts (indices).

These factors include: economic, social, cultural, educational, legal, physiological, socio-cultural and communication factors. In the end, practical suggestions were presented in order to identify the effective factors on strengthening collective entrepreneurship.

In recent years, circular business models have attracted the attention of many business fields. The agri-food sector is also facing new challenges in order to reduce losses and food waste along its supply chain. In this context, the adoption and application of circular business models provide opportunities to promote the transition towards a more sustainable performance and a more economically suitable future. Therefore, the current research has identified the benefits of using circular business models in the agri-food sector with a qualitative approach and a meta-synthesis method. In this regard, the number of 57 related studies was evaluated and finally, after reviewing, 29 articles were selected and analyzed using the seven-step model of Sandelowski and Barroso, in two stages of open coding and axial coding. In this way, the most important identified benefits of using circular business models in the agri-food sector were categorized into five main categories: economic, environmental, value chain, marketing and social. In the end, according to the propositions of the research, suggestions were presented. In an important example, the policy makers and those involved in the agri-food sector should raise the awareness of the society (through culture building by television and radio and schools) and farmers (through holding courses and helping to revalue the product and by-products and their labeling). In addition, the creation of facilities and financial incentives can also be effective in providing the prerequisites for the implementation and success of circular business models in agri-food sector.

The purpose of this research is to identify the technological applications of Internet of Things on the development of agricultural tourism in Kermanshah. In the first stage of the research, the metacombination method was used and in the second stage, the TOPSIS method was used. The sample size was selected through the snowball method of 15 professors and experts from the Department of Information Technology and Agriculture, the Tourism Organization and the Agricultural Jihad Organization of Kermanshah, who had experience and knowledge in the fields of tourism and agriculture and the field of Internet of Things. CASP tool and the coefficient of agreement of two coders or the Kappa index were used for the validity and reliability of the study. Then, using the TOPSIS fuzzy method, the criteria were weighted and the options prioritized. The criteria of the technological applications of the Internet of Things in the development of agricultural tourism were identified in 4 main areas and 16 sub-areas, which are mentioned in the table below. The Internet of Things in the tourism industry and businesses related to this industry has many applications, advantages and challenges that can leave significant effects in different stages and processes. In addition to the tourism industry, the Internet of Things will soon become widespread in all different industries, and groups related to each industry will use the Internet of Things to improve their processes so that they can make significant changes in their businesses.

The main purpose of the current research was to design a model for the development of organizational entrepreneurship in banks supporting cooperative organizations in Iraq.

In order to achieve the goal in the current research, a sequential exploratory mixed method was used, and the data were collected in two phases. In the qualitative phase, the required data were gathered through semi-structured interviews with 34 experts in the form of the Foundation's data approach. . In this section, in order to check the validity of the combination of the four-stage framework and the six key questions model, and the within-subject agreement method was used to check the reliability, and finally, the data was collected and using the systematic design of Strauss and Corbin, codes and components were used. The pattern of organizational entrepreneurship development in banks supporting cooperative organizations was obtained and compiled in the form of a conceptual data model of the foundation. With the participation of experts in the field of entrepreneurship and banking management of Razi University in Kermanshah in Iran and Al-Taqanieh Al-Wasati University in Baghdad, a questionnaire was designed and through random sampling with the participation of 103 people among experts and human resources of the Bank of Agriculture branches in Baghdad. The country of Iraq was distributed. In the quantitative phase of the research, by using the confirmatory factor analysis method and the use of factor loading criteria, Cronbach's alpha coefficient, composite reliability, average variance explained and the significance level of Bartlett's test, the validity of each of the components of the obtained model was examined in the qualitative part. found thvelopment of organizational entrepreneurship), strategies also have components of behavioral strategies and structural strategies. In the background conditions, the components of structural characteristics and syste, and finally, in the c

The purpose of this study is to investigate the success factors of digital startup accelerators in the post-Corona era. In terms of purpose, this research is in the field of applied research, and since it describes the variables and the relationships between them, recognizes the current situation and finally provides a model, it is descriptive-survey method. The statistical population of this study includes experts related to digital accelerator startup accelerators in the post-corona era. In order to achieve apparent theoretical saturation, 25 people were selected as a sample by interview method and the required information was collected. To analyze the qualitative data and extract the factors affecting the success of startup accelerators in the digital field and the factors affecting it, the content analysis method (theme analysis) was used. Structural-interpretive modeling has been used to identify the relationships between variables. The research findings include describing the success pattern of digital startup accelerators and analyzing the results of correlation penetration. Examining the results obtained from the nineteen main factors of identified agility, it was found that the flexibility of organizational structure and data analysis have the greatest influence and the ability to respond to environmental issues and the ability to change business goals, have the greatest dependence

In today's era, there is a growing trend in the exploitation of concepts related to tourism, especially in the field of agricultural tourism. The main goal of these efforts has been to create world-class and domestic attraction for tourists to be used for various political, economic and social purposes. The upcoming article has identified the factors affecting the sustainability of agricultural tourism and provided suitable solutions for its development with a hybrid approach. Using Sandelowski and Barroso's seven-step Meta-Synthesis method, a comprehensive review was conducted on all scientific-research and scientific-progressive articles indexed in domestic and foreign databases. In this research, an effort was made to review the published research until 2021, and as a result of this search, 110 articles were found with the approach of agricultural tourism and the factors affecting its sustainability, and after screening, the number of initial articles was reduced to 40 articles, suitable for coding and analysis. it placed. The findings of this research showed that the factors affecting the sustainability of agricultural tourism can be affected by several factors, and in this context, seven categories that can affect this matter more than other factors were discussed. These categories include institutional factors; infrastructure; educational; semantic and perceptual; environment and aesthetics; functional-structural and finally cultural factors. Also, the results of this study can be used by policy makers and planners of tourism, agriculture and entrepreneurship sectors.

Today, the development of the tourism industry and its sustainability depend to a large extent on the use of information technology that exist in this field should be used to the fullest. The aim of the current research is to provide a model of sustainable tourism solutions with the approach of technological applications of Internet of Things in Kermanshah city.

This research is a qualitative research that was conducted in two stages. First, by reviewing the theoretical foundations and previous studies through the qualitative content analysis method, the solutions for the sustainability of tourism were identified and interpreted with the approach of technological applications of the Internet of Things. Then, to confirm the validation of the identified solutions, these solutions were provided to 20 experts in the field of information technology and tourism.

The results of the research show that tourism sustainability solutions with the approach of technological applications of the Internet of Things have a transportation dimension including the components of transportation announcements and special travel experience, information dimension including training and awareness, custom dimension Development includes the components of environment customization and service customization, the feedback dimension includes the feedback component of services, the service dimension includes the components of urban services and private services, the financial dimension includes the components of costing and cost reduction.

Organizations of tourist destinations should follow the example of successful countries in the field of smart tourism, to set up infrastructures to benefit from the technological applications of the Internet of Things. This work can be done by employing the expert manpower of these countries and using the services of smart companies in order to facilitate the mentioned process. It should be noted that the use of identified solutions requires a good coordination between the offending bodies such as the aviation industry, the tourism industry, the government and the and its tools, including the Internet of Things. It is inevitable and the capabilities and resources municipality and all related organizations and bodies.Conflicts Interest: The author(s) of this article declared no conflict of interest regarding the authorship or publication of this artivle

The success of accelerators requires continuous growth and improvement of the capacity to absorb knowledge from internal and external organizational resources. In this regard, the present study is aimed to design a model for improving the capacity of knowledge absorption in startup accelerators. This study is an applied-developmental design in terms of purpose, and non-experimental (descriptive) in terms of data collection and a cross-sectional study. Also, in this study, a mixed research method (qualitative-quantitative) is used. The data collection measure in the qualitative section is semi-structured interview, and in the quantitative section, ISM questionnaire is used. The Holsti coefficient is used to validate the qualitative section, The statistical population includes the managers of startup accelerators who are selected by the purposeful sampling method and theoretical saturation was achieved with 15 interviews. Thematic analysis method and Nvivo software were used for data analysis in the qualitative. Then, using the interpretive- structural modeling method, the research model was presented. Finally, using MICMAC analysis, the type of variables has been identified based on their influence and susceptibility to other variables. The research findings showed that the human rsources emmpowerment is the most influential components and is placed at level 4. Therefore, any program or action to enhance knowledge absorption capacity in accelerators should focus on the key and fundamental role of this factor. This components have high penetration power and low dependence in enhancing knowledge absorption capacity in accelerators and is among the priorities for action in improving knowledge absorption in startup accelerators

The main goal of the research was to Design and explain the expansion model of digital entrepreneurship in private companies in Kermanshah. To achieve the goal, a mixed method was used, where data was collected in two stages. In the qualitative part, using semi- structured interviews with 32experts who were selected by theoretical sampling. In the qualitative part, the combination of the four- stage framework and the six ley questions model was used to check the validity, and the within- subject agreement method was used to check the reliability, and finally, using the systematic model of strauss and corbin, the components of the digital entrepreneurship development expansion model were using in the form of a conceptual model was drafted. Based on the categories obtained from the qualitative stage, a questionnaire was designed and distributed through a random sampling with the participation of 211 among managers and owners of private companies in kermanahah. In the quantitative part of the research, using confirmatory factor analysis and the use of factor loading criteria, cronbachs alpha coefficient, composite reliability, average variance explained and the significance level of bartletts test, the validity of each of the components of the obtained model was examined in the qualitative part. The results indicated the validity of all components of the paradigm model.

The main purpose of this article was to identify barriers to the establishment of Business Intelligence (BI) in hospitals of Kermanshah city. The research methodology was qualitative, and documentary studies and in-depth semi-structured interviews were conducted to collect information. The research population included university faculty members, hospital managers, and information technology specialists in Kermanshah. Using the purposive sampling method, 21 specialists were selected to collect data. In order to internalize the data obtained from the interviews, three methods of triangulation, verification and involvement of members with the subject were used; the reliability of the research was calculated using the reliability of the retest and using the Holstie reliability formula, which is 89%, indicating the appropriateness of the reliability of research. The obtained data were collected in the documentary studies section using content analysis and content analysis methods. According to the findings of this study, barriers to the establishment of business intelligence in hospitals in Kermanshah included six categories of infrastructural, organizational, managerial, human, cultural, and educational factors. The results of this research show that the rapid changes in the organization's environment have inevitably made it important for them to retain their customers in today's competitive environment. Recognizing these barriers is the first step in managing and establishing business intelligence in hospitals, and achieving this important goal for hospitals in Kermanshah requires the removal or management of the barriers identified in this paper.

Electronic procurement is one of the most important tools of e-commerce that mechanizes the activity of purchasing and supply in organizations using internet technology. The purpose of this study was to investigate the factors affecting the continuity of the use of electronic procurement system and user satisfaction based on the quality acceptance model of technology in small and medium active rural industries in Kermanshah Province. The method was quantitative and regression study. The statistical population consisted of users of small and medium rural industries in Kermanshah province, and 284 people were selected as the study sample by simple random method based on Cochran's sample size determination table. The research tool was a standard questionnaire. The reliability of this tool was determined by Cronbach's alpha of 0.86. Exploratory factor analysis, structural equations, and path coefficient testing with PLS software were used to analyze the data. Organization employees' perception of procurement services had a positive and significant effect on satisfaction with electronic procurement system and perceived usefulness, perceived ease of use, satisfaction with the system, online ordering process perceived usefulness, quality of completion of procurement orders, and quality of information flow. According to the results and the knowledge of the variables influencing the adoption of technology, it is possible to plan carefully and increase the preparation as well as the successful application of these systems in the target community.

While entrepreneurship education is one of the most important and necessary aspects of entrepreneurship promotion programs in society, its teaching in the traditional method alone is not effective and more innovative and flexible methods are needed. Therefore, the present study was conducted by combining previous research with the aim of providing a comprehensive picture of the components of the role of gamification on entrepreneurship education. The research methodology was qualitative with a meta- synthesis approach. Accordingly, after searching the databases, 121 related studies were evaluated and finally, after multiple screenings, 41 articles were selected. Using seven-step model of Sandelowski and Barroso, the findings of 41 previous studies related to the objectives of the study were reviewed, aggregated, combined and interpreted. With the help of the coding method, 37 codes, 6 concepts and 3 components were identified and validated through Kappa Cohen coefficient. Then, the role model of gamification on entrepreneurship education was presented and drawn. The findings of this study indicated that the use of gamification in entrepreneurship education can be very effective on all three types of educational goals, namely the creation of learning and desirable changes in learners' behavior in various aspects of cognitive, emotional and skills. As a result, the use of gamification in entrepreneurship education should be considered as a new and effective method along with traditional methods of entrepreneurship education, particularly during the Coronavirus pandemic, which necessitated a distant and virtual education system.

Goal: 

The main purpose of this research is to present an organizational entrepreneurship model on the technological capabilities of objects with data approach of the foundation in higher education system (razi university of Kermanshah).

The research method is semi- structured interviews with selected sample. The sampling method was purposeful and with theoretical saturation method and 15 people and were selected as sample of the administrative staff of the university. Selection was carried out according to the snowball procedure and continued until theoretical saturation. Data were analyzed using open coding, axial coding and selective coding and also the requirements for each stage of analysis.

Effective factors in providing organizational entrepreneurship model on the technological capabilities of objects with data approach of foundation in higher education system are; organizational factors, human capital, intellectual capital, individual factors, behavioral factors, government structure, government, university and research centers, strategic implementation, success and creating new value for entrepreneurial organization.

organizational entrepreneurship in university and its transformation into an economic value should be considered as one of the university policies for further admission of universities. Because if the organizational factors are in compliance with entrepreneurial activities, entrepreneurship in universities will be more interested.

The internet of Things has become more popular as a new technology since the advent of wireless technology, and attracted attention from supply chain management promoters. This study aimed to identify and analyze IoT applications in the pharmaceutical supply chain agility in the post-COVID-19 era

We first review previous studies in applications of IoT in pharmaceutical supply chain agility and identified the findings through qualitative content analysis. Then, the identified factors were given to 20 management and information technology experts to confirm and validate.

The results showed that IoT applications on the pharmaceutical supply chain agility in 9 components and 50 indicators. First of all, the most important factor is faster communication with other stakeholders (suppliers, manufacturers, distributors, and customers) using the IoT in the supply chain. Secondly, the use of IoT for drug production; manufacturers invest in technologies that lead to lower operating costs in the long term, because network devices and sensors do not make mistakes, do not need rest and training, and do not take vacations. Therefore, they increase the agility of the production process and are a reliable and cost-effective alternative for productivity in production.

The wide applications of the proposed model indicate the need to consider the use of the IoT in the pharmaceutical industry supply chain in order to improve overall supply chain performance and focus on supply chain agility.

Today, a society can move forward and rapidly in the path of development, equipping itself with productive entrepreneurial knowledge and skills by creating the necessary resources to use this valuable capability, other resources of the society to create value and achieve growth and development, Manage and direct. Promoting entrepreneurship requires an ecosystem. The aim of this study is to identify the role of accelerators in the development of entrepreneurial ecosystem using an open innovation approach. The design of this research is qualitative (multiple case study) and is fundamental in terms of research method. Therefore, semi-structured interviews were conducted with 20 main human resources of Kermanshah accelerator centers, which were selected using judgmental sampling method. In the present study, a two-stage coding method was used to analyze the interview findings. Finally, according to the research findings and coding, the role of business accelerator centers on the development of entrepreneurial ecosystem using an open innovation approach in two parts before the start-up and after the start-up has been identified and studied. The results show that accelerators, by creating a coordinated network between the actors of the startup ecosystem and the entrepreneurial ecosystem and their partners, Creating relationships based on common vertical and horizontal connections between ecosystem actors, Creating value in predetermined partnerships and programs and creating a network of communication between ecosystem actors and networks and companies outside the ecosystem play a role in the development of the entrepreneurial ecosystem.

The aim of the present research was to investigate factors affecting platform businesses during the Coronavirus crisis and the method of analyzing the factors being the main question.  A developmental, descriptive-survey research was conducted. The statistical population included ten purposefully selected experts in the field of digital and platform businesses. After determining primary indexes with a literature review and filtering indexes using the Delphi technique, data was analyzed through AHP approach in the first phase and by TOPSIS approach in the second phase.  On the basis of research findings, ranking of indexes were determined and put in order of priority. The research obtained from the AHP technique showed that the three most important indexes in the field of platform businesses during the Coronavirus were lack of presence in public places to prevent virus transmission, possibility of seeing different products, lack of need for exiting the home. In addition, results obtained from the TOPSIS technique for ranking platforms on the bases of the factors affecting platform businesses under the condition of Coronavirus pandemic showed that the Instagram platform ranked first, Telegram ranked second followed by Facebook.

In the advanced human life today, it is believed that wealth is better if obtained from science and science is better if wealth can be obtained from it, and the example of this is the creation and development of knowledge-based companies. This article was prepared with the aim of designing a model for the creation and development of knowledge-based companies with a data theorizing approach in Kermanshah city. The present study is applied in terms of purpose and in terms of methodology uses a data theorizing approach. Data was collected during a semi-structured interview with 26 senior managers of knowledge-based companies in Kermanshah who were selected by purposive sampling. Based on the data theory process of grounded theory, during the open, axial and selective coding stages, 518 open codes and 243 final extracted codes were created and categorized into 6 main categories and 20 sub-categories. The model obtained from the analysis of research findings comprised of six steps of academic research, creation and disclosure of innovation, intellectual property decision, technology marketing, technology licensing and knowledge-based company creation and six main strategies including development of research and development units, market needs assessment, acquisition of competitive advantage, attracting specialized and creative manpower, introducing a role model and holding joint meetings between industry and academia. The government could accelerate and facilitate the formation of knowledge-based companies by providing a platform for effective communication between academia and industry.

Traditional agriculture is no longer able to provide sustainable, safe, and nutritious food for a planet with a population of more than 9 billion by 2050. This has led researchers to study about modern agriculture and its related factors. In this regard, the present study was conducted with the aim of presenting an adoption model of IoT in the agricultural sector.

Indicators and factors affecting the implementation of IoT in the agricultural sector were extracted in two stages. Using content analysis, researches related to IoT in the agricultural sector was reviewed in the first stage. In the next stage, effective indicators on the adoption of IoT in the agricultural sector were extracted by Delphi technique and a survey of 15 experts whom were purposefully selected using snowball method.

The research findings showed that 63 indicators in the form of 11 categories and 4 dimentions are effective in adoption of IoT in the agricultural sector. Key concepts include environmental, technological, economic, and socio-cultural factors; sub-categories include cost factors, financial incentives, revenue factors, organizational factors, laws and policies, agricultural and ecological factors, technology infrastructure, security factors, IoT capabilities and features, human factors, and cultur-building.

It can be said that in order to adopt IoT in the agricultural sector, changes and reforms in all four main concepts including environmental, technological, economic, and socio-cultural factors seem necessary. In this regard, it is suggested to government to create laws supporting privacy and data ownership as well as to modify and revise the agricultural sector productivity law emphazing on the implementation of IoT technology. Also, providing cooperation between academic agriculture and information technology experts, developing knowledge-based companies in the field of IoT in agricultural sector, and creating an academic field of IoT are recommended.

The purpose of this article is to investigate the effect of political marketing on increasing the soft power component of the Islamic Republic of Iran. The research method was exploratory mixing and semi-structured interviews with 10 experts and the categories were identified by content analysis. In the quantitative phase of the research, with a questionnaire and an expert survey among 46 people from the statistical population, assuming (N = n), the categories were tested using SPSS26 software and the categories were ranked by Friedman test and the validity of the questionnaire was valid in two parts: validity and reliability. Cronbach's alpha was calculated to be 0.895). According to the results, the highest rank belongs to the techniques used in international political marketing with a value of 5.99, followed by the necessities of using international political marketing with a rank of 4.64 and the most significant dimension with a rank of 4.11. The incoherence of programs and strategies in the field of international political marketing was the first limitation in the use of international political marketing and the most effective foreign policy discourse of the Islamic Republic of Iran to use international political marketing, the discourse of international de-escalation with realism and self-determination. In the effective discourse group. Regarding the current situation and position of the country, the position of the Islamic Republic of Iran in terms of history and culture was ranked first in this group, but the position of the country in terms of export products was ranked eighth.

The Covid 19 virus pandemic (Corona) has not only affected public health, but has caused a major recession in the world. In addition to the consequences of the Corona virus, the Iranian economy is also facing the pressure of sanctions and is experiencing these two factors simultaneously. More importantly, businesses have not been immune to the virus. Kermanshah province with high unemployment is at risk of damage to rural businesses. Therefore, the present study seeks to provide a model for the revitalization of small and medium-sized rural businesses affected by the Covid 19 crisis, which has been conducted in rural businesses in Kermanshah province. Experts of the Jihad Agricultural Organization of the province and professors of Razi University have formed the statistical population of this study who were selected by purposive sampling and snowball method. Semi-structured interview method was used to collect research data in the qualitative part and survey method was used in the quantitative part. The data collection process continued until the theoretical saturation of the available information Qualitative analysis of the data was performed by Max Kyoda software and by analyzing 15 interviews, a total of 45 codes were identified. The data were analyzed in four main categories: financial - facility, service - support, business empowerment and market summary. The two factors of finance - facilities and services - support empower the business, and this in turn can be a factor in creating decisions with a focus on customer, market and marketing. In the quantitative part, the results of Friedman prioritization test showed that for the rehabilitation of damaged rural units in Kermanshah province, respectively, financial-facility factors (3.43), empowerment- resilience (2.73), support-services (2.40) and market factors (1.43) had a higher priority.

This research was conducted with the purpose of conceptualizing the model of consumer behavior in crisis conditions and formulating a suitable marketing strategy with a multidimensional perspective

This research is developmental-applicative in terms of purpose, and in terms of method, it is mixed (qualitative-quantitative), and in terms of data collection, it is descriptive-survey. The studied population in the qualitative part of the research was selected from experts who had a theoretical understanding of the subject, and in the quantitative part, a statistical sample was selected from experts who lived in Kermanshah province. Sampling in the qualitative part was done based on theoretical sampling and with judgment method and snowball technique. In the quantitative part, the available sample was selected. The selection criterion of the sample size in the qualitative part was theoretical saturation and in the quantitative part the Morgan and Karaji formula. The number of samples was 20 in the qualitative section and 387 in the quantitative section. The data collection tool in the qualitative part of this research was an in-depth and semi-structured interview, and in the quantitative part, a researcher-made questionnaire.

The results of the inductive content analysis of the data obtained from the qualitative section were performed through three procedures of coding, conceptualization and categorization, as a result of which 388 codes, 44 concepts, 8 subcategories and 4 categories were identified; Then, by using binomial test and Friedman, the variables were ranked.

Identifying a five-part spectrum of consumer behavior in buying and consuming goods and services during a crisis is one of the results of this research. On the other hand, the findings of this research showed that according to consumers' behavior in crisis conditions, goods can be divided into essential, delayed and eliminated and behaviors can be peredict in five states: intensifying, weakening, delaying, replacing and completely suspending purchases.

The present study was conducted by combining previous research with the aim of providing a comprehensive picture of the components of the role of influencers on marketing. The research methodology is qualitative with a meta- synthesis approach. Accordingly, after searching the databases, in the period of 1385 to 1400 for domestic researches and 2000 to 2021 for foreign researches, 134 related studies were evaluated and finally, after multiple screenings, 58 articles were selected. Using seven-step model of Sandelowski and Barroso, the findings of 58 previous studies related to the objectives of the study were reviewed, aggregated, combined and interpreted. With the help of coding method, 28 codes, 6 concepts and 2 components were identified and validated through Kappa Cohen coefficient. Then, the role model of influencers on marketing was presented and drawn. The results of this study showed that despite the many benefits of using influencers in marketing, if not done with the right knowledge, it will lead to negative consequences for business and brand. Finally, in line with the research results, suggestions for the correct and appropriate use of influencers in marketing are presented.

Entrepreneurship is one of the key factors in economic development and a key indicator in the development of growing societies. What motivates the entrepreneur to start an entrepreneurial activity is entrepreneurial motivation. Entrepreneurial motivation is the process of transforming an ordinary person into an entrepreneur who can create opportunities and help maximize wealth and economic development. The purpose of this study is to identify and classify the motivations of entrepreneurs.

This research has been done with a systematic review approach and using a six-cell matrix in two components for motivation (traction or pressure) and sources of motivating (economic, psychological or social).

According to the six-cell matrix, the highest frequency of motivations identified are: psychological traction motives with 61%, economic traction motives with 21.1%, social traction motives with 6.2%, psychological compulsive motives with 9.2%, Social pressure motives 2% and economic pressure motives 5%. Shows the percentage distribution of motivations.

The cultural context and demographic characteristics of entrepreneurs are not separated in this studyPractical Consequences: Identifying and classifying their motivations and focusing and strengthening these motivations in the programs of policy makers and planners will lead to economic and social development.Innovation or value of the Article: According to the new model, entrepreneurs' motivations are classified into two components: motivation and motivation source.

Organizational performance is one of the most important structures in achieving organizational goals and also one of the most important structures discussed in managerial research and without a doubt, it is the most important criterion for measuring the success of commercial companies. the existing competitive environment is more competitive than in the past. in such situations, agricultural organizations have to look for new ways to improve performance. in this regard, one of the most appropriate strategies is to focus on choosing the right organizational strategy and organizational knowledge and its proper management. Therefore, the purpose of this study is to investigate the effect of knowledge management on organizational performance with regard to the mediating role of differentiation strategy in agricultural companies located in Kermanshah Science and Technology Park.

This research is based on the purpose of an applied research, based on data collection, descriptive comparative causal research and in terms of approach or methodology, it is quantitative research. The statistical population of the study was the employees of agricultural companies located in Kermanshah Science and Technology Park, which amounted to 95 people and the sample size was determined using Cochran's formula of 77 people. A researcher-made questionnaire was used to collect data and was scored based on the Likert scale. Descriptive statistics techniques in SPSS software and structural equation analysis in Amos software were used to process the data.

The results showed that knowledge management affects organizational performance both directly and indirectly through the mediating variable of differentiation strategy. Knowledge management is one of the important factors affecting organizational performance that the mediating role of differentiation strategy in this regard was also confirmed.

Agricultural organizations if they want to maintain their position and act in a way that leads to survival, development and success, it is necessary to review its performance and select the appropriate organizational strategy and organizational knowledge and manage it properly. an organization that cannot choose the right competitive strategy and develop its skills, knowledge and knowledge and use it to increase productivity, will not be able to develop any of its resources optimally.