Today, the importance of start-up agricultural businesses is more than ever, and to achieve this, it is necessary to provide the right environment and conditions for start-up businesses. The purpose of this study was to analyze the factors affecting the success of start-up agricultural businesses. This research was applied in terms of purpose and descriptive-survey in terms of implementation method, which was done with a mixed exploratory approach. The statistical population in the qualitative stage was 11 university experts who were selected by purposeful method and snowball. In the quantitative stage, all the experts of the country's new agricultural businesses were 200 people. Simple random sampling method was used. The Delphi method was used to identify the factors and the structural equation modeling method with Smart PLS3 software was used to analyze the relationships of the variables. The results showed that the factors affecting the success of start-up agricultural businesses include 51 components in the form of 9 dimensions (individual capabilities, human resources, environmental factors, marketing activities, financial issues, product development, customer satisfaction, strategy, networking). Also, the results of structural equations showed that individual capabilities (0.317), human resources (0.356), environmental factors (0.438), marketing activities (0.378), financial issues (0.404), product development (0.399) Customer satisfaction (0.415), Strategy (0.329), Networking (0.426) have a positive and significant effect on the success of start-up agricultural businesses. Finally, it can be said that the success of start-up agricultural businesses is an important strategy for promoting agricultural entrepreneurship.

The interaction of marketing and entrepreneurship has occupied an important part of marketing research in the last decade. Marketing has a lot to offer entrepreneurs. Entrepreneurial marketing is a concept that has emerged from the level of sharing of two areas of marketing and entrepreneurship. Entrepreneurial marketing in the field of online business is always growing and its fields are expanding day by day. Entrepreneurial marketing requires a valid and reliable scale to measure the underlying dimensions and factors in any type of business environment, which requires that it be done in a principled manner and in accordance with scientific methods. Therefore, by understanding this issue, by conducting this research, we are seeking to identify the components and inhibiting factors with the help of hybridization method. The considered articles and researches were considered from among the studied articles and books, using the CASP method, and the main indicators were extracted through the document analysis method and using the MaxQD software. Necessary aggregation and clustering were done, then they were organized in the form of concepts and components. The results showed that the factors inhibiting entrepreneurial marketing include two main components of internal factors (environmental disturbance, government problems, limited market share, lack of customer commitment, technological change, and market problems) and external factors (management challenges, human barriers, lack of resources, and limitations) are classified.

Today, with the growth of information technology, face recognition is a challenging issue in the image and vision analysis of computers, and for this reason, in many years, many attention has been considered for many applications in different domains. There are many methods for implementing this technology, but the general method based on the comparison of certain characteristics of the faces of individuals with a database or pre-stored information set (which can be sampled from the sampling Be the faces of people). Biometric-based technologies have been recognized in recent years as the most promising option for identifying individuals. Different methods are used in order to implement facial diagnosis. In this paper, a review of some of the well-known image processing methods is performed and the advantages and disadvantages of the designs listed in it have been investigated. Also, the implementation of facial diagnostic systems is introduced. Then, face diagnostic algorithms are categorized and introduced based on biometric characteristics. In addition, while introducing hierarchical and X model algorithms, binary and x hierarchical model, the concept of deep face recognition structure has been addressed and some of the latest algorithms produced for this purpose. In the end, some of the most important applications of facial diagnostic systems have been studied. The purpose of this article is to introduce and express deep learning algorithms in face recognition and expression of existing challenges.

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.

Today, business to customer e-commerce systems are the most important business systems in providing services and goods to customers. Startups in these systems need methods to be able to expand their market to respond appropriately to customers. One of the recent innovations to develop services and goods in startups is the use of sharing economy. sharing economy in B2C startups make better use of facilities and resources and helps them to reduce transaction costs and improve productivity. Therefore, the purpose of this study was to present a B2C e-commerce model with an emphasis on sharing economy in startups, which was done in combination. The present research is fundamental in terms of purpose and descriptive-correlation based on the method. In the first step, effective factors were identified based on content analysis and interviews with 15 academic experts. The output of this stage was 14 components in 3 dimensions (technology, social and economic). Then, in the second step, the identified dimensions were graded by interpretive structural method and clustered by Mikmak analysis, which was analyzed using Excel software. Interpretive structural results showed that the components are in 10 levels, also Micmac analysis showed that the components (trust- collaboration- product- communication quality- economic factor) in the dependent cluster, components (website usability- availability- obligation- sharing information- information quality) in the link cluster and components (social value- security- infrastructure-customization) are also in the independent cluster.

Globalization and high-tech processes, through information technology, have doubled the pressure on service organizations in the private and public sectors to compete in new services. In developed economies, the service sector is responsible for most employment and value-added growth. As a result, more extensive studies on the development of new services and the factors influencing it are becoming more important. On the other hand, value creation is a new concept in business, marketing and innovation of organizations that has been considered with the aim of creating a competitive advantage to maintain the survival of organizations. Sharing value creation is actually the process of creating value through the interactions of organizations with other organizations, employees, customers and other partners in the market and today is the focus of managers of service organizations including the banking and insurance industry, which are central pillars of economies. The present study seeks to provide a model to investigate the impact of shared value creation directly and indirectly on the development of new services, the impact of internal coordination as a mediating factor between the two variables of value creation and new service development as well as technology experience variable as moderator of internal coordination in 41 branches. It has been done from the central branches of banks and insurance companies of Boroujerd city. This research is of an applied type with a survey strategy. Data were collected through a questionnaire and also structural equation method was used to analyze the data. The results show that the creation of shared value has both a direct and indirect positive and significant effect on the development of new services. Also, the mediating role of intra-organizational coordination and moderation of technology experience was confirmed.

Today, unemployment of university graduates is one of the concerns of the government, the key to solve which is in universities. This study aimed to present a model of capability-based university entrepreneurship. This research is qualitative and based on Grounded Theory. Participants included academic experts in field of entrepreneurship selected purposefully. Research data were collected through in-depth that reached theoretical saturation in the 15th interview. Interviews were analyzed in three stages of open, axial and selective coding. To validate the findings, long-term engagement measures and continuous observation, review by participants, peer review and triangulation technique were performed and to assess reliability, the criteria of reliability, transferability, reliability and verification were used. Findings showed that causal conditions include structural, innovative, supportive and environmental factors; Intervening conditions include policy-making, university dependence on financial resources, and access to the international market; Context conditions include upgrading the infrastructure of the university, developing the vision of the university entrepreneurship system, contriving entrepreneurial opportunities, the optimal distribution of financial resources for doing business, and contriving the research and commercialization process at the university. Strategies include formulating a vision for entrepreneurial activities, combining theoretical and empirical knowledge related to entrepreneurship, proper interaction between university and industry, providing entrepreneurial standards by long-term plans, and establishing a technology licensing office which lead to consequences including improving the commercialization of academic findings, creating growth centers and technology, employment based on entrepreneurial spirit, the growth of knowledge-based business activities and the institutionalization of entrepreneurial spirit among managers, employees, students and professors.