List of Articles کسب‌وکار

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  1 - Different points of view for Relation of Knowledge Management and Business Intelligence
  hasan rangriz nasim afshari
  10.7508/jstpi.2016.01.002
  Nowadays, having the ability of foresight and decision-making is essential for any organization. Advanced and successful organizations have chosen knowledge-oriented strategy to survive in the competitive and rapidly changing environments. Handling of changes and good d More

  Nowadays, having the ability of foresight and decision-making is essential for any organization. Advanced and successful organizations have chosen knowledge-oriented strategy to survive in the competitive and rapidly changing environments. Handling of changes and good decision making about them plays a central role in the future success or failure of organizations. Two important concepts that have important role in managers’ decision makings are Business Intelligence (BI) and Knowledge Management (KM). Business intelligence and knowledge management are relative concepts to each other .The relations between these concepts has not been yet offered clearly and determining the boundary of these two concepts is difficult for managers. Researchers have considered different links between them. In this paper, business intelligence and knowledge management will be defined and then different viewpoints about the type of relationship between these concepts will be expressed. In general, it is recognized that knowledge management and business intelligence both have common and same goal which is improving decision-making process and finally improving the business performance. Implementation and execution of these concepts would consider as organization's competitive advantage. However, knowledge management, including both explicit and tacit knowledge, and also considers unstructured data, while business intelligence generally focuses on explicit knowledge. Finally, concluded that, knowledge management and business intelligence should be integrated regardless of the type of relationship between them, because each has advantages and disadvantages. Manuscript profile
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  2 - Open Innovation & Stakeholders Engagement
  Farzane ryBakhtia Mojtaba Nahid
  10.7508/jstpi.2016.02.006
  The paradox of open innovation lies in the conflict between the practical desire to reap the benefits of open innovation and concern over the risk that others will misappropriate those benefits. Open innovation models bring changes in the firm's approach to strategic ma More

  The paradox of open innovation lies in the conflict between the practical desire to reap the benefits of open innovation and concern over the risk that others will misappropriate those benefits. Open innovation models bring changes in the firm's approach to strategic management of technology. Over the years, as a response to emerges at significant improvements in the competitive environment. Open innovation that we can always make progress because all ideas are good ideas, Also all ideas can be developed, if the idea is worth thinking about, it is worth telling. We are creative and we can get more creative. Stakeholder theory and recent developments in value creation through stakeholder engagement can assist with reconciliation of this inherent structural risk. The limitations of existing open innovation typologies are identified, and a process-based model of open innovation is proposed. The model is then expanded to include stakeholder engagement. When integrated with stakeholder engagement, open innovation processes can be understood to generate benefits beyond the acquisition of specific information sought from external experts. The addition of stakeholder engagement to the open innovation model allows for greater understanding and easier acceptance of the risks inherent in the open innovation process. Therefore this application article uses library overview and in addition to this, it focuses on open innovation literature and some of its models. Also, it Deals with the relationship between open innovation and stakeholder participation And would be try to provide the benefits and risks of engagement to the audience. Manuscript profile
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  3 - Criminal Entrepreneurial Behavior: Literature Review
  Mojtaba Nahid Roghayeh izadi
  10.7508/jstpi.2017.03.005
  20.1001.1.17355486.1396.13.51.7.5
  Entrepreneurs play an important role in the economy in order to identify opportunities and to exploit their economic and social needs of the production process and purse market driving. While entrepreneurship is normally researched as something positive, this paper illu More

  Entrepreneurs play an important role in the economy in order to identify opportunities and to exploit their economic and social needs of the production process and purse market driving. While entrepreneurship is normally researched as something positive, this paper illustrates the dark sides of the construct. This conceptual research paper applies entrepreneurship literature to generate new insights into entrepreneurship in organized crime and entrepreneurs in criminal organizations. Criminal entrepreneurship is found in organized crime, where criminal entrepreneurs choose to organize a criminal business enterprise in order to exploit illegal market opportunities. Entrepreneurial opportunities can be exploited in a variety of ways, depending on strategy and available resources. As organised crime is growing locally as well as globally, law enforcement agencies need to develop their understanding of strategic criminal entrepreneurship. Based on perspectives in this paper, the dark side of Entrepreneurship needs to be further explored within both the legitimate and illegitimate business sector in the local as well as global perspective in future research. Manuscript profile
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  4 - The Impact of Open Government Data and Data Innovation on Life Insurance Industry Business Development
  Saeid Taheri Saeed Shavalpour
  10.7508/jstpi.2018.03.007
  20.1001.1.17355486.1397.14.55.8.1
  The emergence of information and communication technology has enabled organizations to use this technology to generate data in their own business. In addition, organizations need to open their industry-related data, which is generally government-owned, as well as data i More

  The emergence of information and communication technology has enabled organizations to use this technology to generate data in their own business. In addition, organizations need to open their industry-related data, which is generally government-owned, as well as data innovation, in order to develop their business. Today we are seeing a huge storm of data that is due to the actions of individuals, businesses and the state. It is essential to acquire the valuable information through the use and reuse of production data by opening up a large amount of data. In this way, the potential of the mass data of every sector of industry and business can effectively be used to plan, decide, and ultimately business development. Figures show the potential of open data in three areas: banking, insurance, and real estate. To add value, these data should be processed, combined or visualized. The purpose of this study is to investigate the relationship between open government data and data innovation and business development in the life insurance industry of insurance companies. A questionnaire was used to collect data and a random sampling method was used. In this research, 127 employees of life insurers' life insurance companies were selected as the sample for answering the questionnaire. A questionnaire was distributed among different levels of insurance life insurance companies and finally 98 people participated in the completion of the questionnaire. The findings, based on the results of the hypothesis test, indicate that open government data is effective on business development, and the variable of data innovation has a mediating role.. Manuscript profile
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  5 - Designing a Model for the Realization of Economic Complexity, Based on the Meta-Analysis of Scientific Research
  azadeh leili Mina Ranjbarfard
  10.52547/jstpi.20667.15.60.9
  20.1001.1.17355486.1398.15.60.1.1
  Implementing Business Intelligence Systems (BI) requires a lot of resources and time. The statistics show that billions of dollars are spent on these business intelligence systems (BIS), which show how important they are. Also, the cost of these systems is a large part More

  Implementing Business Intelligence Systems (BI) requires a lot of resources and time. The statistics show that billions of dollars are spent on these business intelligence systems (BIS), which show how important they are. Also, the cost of these systems is a large part of the expense of the organization. Unfortunately, with all these huge costs in these systems, more than half of the BI projects do not go to the real benefits of business intelligence systems. Here's one reason why organizations are not able to grasp the real benefits of business intelligence systems: Many of them are not ready for these systems. This is due to some of the challenges in implementing BI systems in organizations. BI implementation experiences show that the successful implementation of BI is beyond the implementation of technical infrastructure (hardware aspects) and requires the control of soft aspects and change management, which are recognized as the most difficult aspects of the successful implementation of BI applications. Business intelligence is a complex concept and has multi-layered architecture, which is why the BI readiness model is needed. Assessing BI readiness identifies specific implementation risk sections to manage and reduce these risks and thus increase the likelihood of BI success. So far, several models have been developed to prepare BI systems. In this paper, introduced models for BI readiness are presented, and then these models are compared based on the factors influencing BI readiness. Manuscript profile
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  6 - Designing a policy model for financing technological entrepreneurship in the early stages of creating a business in Iran
  Mohsen Noorali Sorkhani eynollah keshavarz tork Moqtadaalanam  Ravanbakhsh,
  10.52547/jstpi.27273.18.71.1
  20.1001.1.17355486.1401.18.71.6.9
  the present study seeks to semantically reconstruct the various dimensions of the model / optimal model of technological entrepreneurship financing policy in the early stages of business creation using the combined approach and the exploratory goal of the field theory a More

  the present study seeks to semantically reconstruct the various dimensions of the model / optimal model of technological entrepreneurship financing policy in the early stages of business creation using the combined approach and the exploratory goal of the field theory analysis method in the qualitative section and using the opinions of senior managers. And the professors specializing in this field have examined the existing concepts and interpretations from their point of view and in the quantitative part a questionnaire has been made using the main concepts extracted from the qualitative part in order to generalize and confirm the findings. In this research, first in order to identify financing methods and also the criteria for selecting the appropriate financing method, fuzzy Delphi method is used and then to determine priorities, hierarchical analysis is used and after determining these weights through TOPSIS method to prioritize the option. The issues raised were addressed. The results showed that among the methods of financing the formation of cooperative companies (0.93), receiving facilities with weight (0.87), issuing participation bonds with weight (0.72), creating investment companies (0.60), presence in the stock market (0.33) ), Creating a plan as a shareholder (0.22), and finally attracting foreign capital (0.00001) had the highest and lowest priority among financing methods, respectively. Manuscript profile
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  7 - Analysis of factors affecting the success of agricultural start-ups in the country
  mohsen khosravi majid nasiri parviz saeidi
  10.61186/jstpi.32320.19.73.1
  20.1001.1.17355486.1401.19.73.4.4
  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 More

  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. Manuscript profile
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  8 - Designing a capability-based university entrepreneurship model in the Islamic Azad University of Golestan Province
  Fereydoon Azma Faezeh Rezaei Roohalla Samee'i Samereh   Shojaei
  10.61186/jstpi.33123.19.73.57
  20.1001.1.17355486.1401.19.73.5.5
  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 Theor More

  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. Manuscript profile
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  9 - Introducing robotic process automation as the connection point of Internet of everything with artificial intelligence projects
  Seyed Omid Azarkasb Seyed Hossein Khasteh
  10.61186/jstpi.34055.19.76.42
  20.1001.1.17355486.1402.19.76.4.4
  Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud ro More

  Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud robotics process automation and markets. Automation refers to the use of technology to perform various tasks with minimal human intervention, so that the automation of the robotic process, intelligent process and various operations of the artificial intelligence business are its main components. In the meantime, the Internet of Things is one of the most up-to-date technologies in the new age of information and communication, which has a concept very close to the Internet of Things. The Internet of Things is a term used to describe physical objects around the world using their digital communication, while the Internet is all about data sets, considering people and processes. The reason for paying attention to the automation of the robotic process is the continuous expansion of the artificial intelligence market due to the widespread use of this technology in most important fields, especially in the components of the Internet. To make the most of robotic process automation, multiple discrete automations as well as artificial intelligence technologies can be used. With this approach, the robotic automation process can be considered as the connection point of everything Internet to software artificial intelligence projects. Therefore, robotic process automation, which aims to improve business processes, is proposed as an Internet connection point for everything with artificial intelligence projects. Manuscript profile