List of Articles الگو

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  1 - Knowledge Translation Model From Research to Industry Case Study: Defense Industries Research Center
  Yousef Naeimaei Hossein Ali  Hasan pour Mahdi Moghan Jahanbakhsh Mambini Soheyl Emamian
  Knowledge Translation (KT) is the meeting ground between two fundamentally different processes: research and action. It knits them with communicative relationships. Knowledge translation is a dynamic and interactive process that includes synthesis, dissemination, exchan More

  Knowledge Translation (KT) is the meeting ground between two fundamentally different processes: research and action. It knits them with communicative relationships. Knowledge translation is a dynamic and interactive process that includes synthesis, dissemination, exchange and ethically sound application of knowledge to provide more effective services and products and strengthen system. This is done through a complex system of researchers and knowledge users. Knowledge translation is catalyst for knowledge cycle in knowledge to action process. Utilization of observation and decision-making appropriate with field conditions that is proposed with knowledge translation is very useful in industrial researches. This research proposes a model for knowledge translation from research to industry (case study: A Defense Industry Research Center). By extending the concept of knowledge translation several models and structures are proposed that each one has a strategy to overcome the gap between what we know and what actually happens in practice. In this research we studied some of them and try to find an appropriate model. The proposed model has seven processes: research needs assessment, input to research, research processes, primary outputs from research, making a sample for taking customers endorsement, using product and final outcome. For data collection, interviews and questionnaires were used. The population is consisting of experts, managers and Defensive Research Centers researchers who are familiar with knowledge translation issues. Manuscript profile
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  2 - Theories and Models of Relationship Between Industry and University in Knowledge-based Economy
  Hamzeh Samadi Hosein Samadi Miyarkalaei
  University and Industry are the most important and influent institutions in social, political and cultural development and society’s economic and technological improvements. The improvement in the relationship between science and technology, the integration of science a More

  University and Industry are the most important and influent institutions in social, political and cultural development and society’s economic and technological improvements. The improvement in the relationship between science and technology, the integration of science and industry, the appearance of industries based on science, the use of science as a means to generate competitive advantages on the part of the firms, as well as the globalization of the economy and internationalization of technology, are some of the reasons which justify cooperative relationships between firms and research organizations. Developing relations between Industry and University by cause and positive effect on technological, economic and social changes and transformations was noticed by strategists, politicians and university and industry planners, and was more effort toward creating an effective linkage between university and industry. The 21st century is the century of knowledge-based international economic competition. Industry without online knowledge will surely die and knowledge without applying in industrial operation is not valueless, necessitating the connection between Industry and University. The present paper aims to review the existed theories and models of relationship between Industry, University and other influential institutions in knowledge-based economy. In this study, we reviewed “Triple Helix models TH1, TH2, TH3” (Etzkowitz and Leydesdorff), Quadruple Helix (Carayannis and Campbell), “Quintuple Helix” (Carayannis and Campbell), and represented and reviewed the “Islamic Republic of Iran’s’ Regional Quintuple Helix” (Samadi Miarkolaei), and “N-Tuple of Helices” between Industry and University (Leydesdorff), followed by presenting some suggestions to improve relations between Industry and University. Manuscript profile
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  3 - Proposing the most appropriate selectionmodel of technology transfer method, with using Analytical Hierarchy Process technique: a Case Study in Iran Khodro Diesel Company
  Ehsan Dehghani Mostafa Mablaghi
  20.1001.1.17355486.1391.8.31.2.5
  Technology transfer is a sensitive and complicated process that if not done with knowledge and research, will lead to costs and also huge losses. while the audience of this process are mainly developing countries, it can be noted that studying and investigating the proc More

  Technology transfer is a sensitive and complicated process that if not done with knowledge and research, will lead to costs and also huge losses. while the audience of this process are mainly developing countries, it can be noted that studying and investigating the process of technology transfer to developing countries, generally shows weaknesses due to ignorance of the terms, conditions and requirements available, and also the policies and goals of technology transfer, that transferor will follow them, leading to irreversible failures, and the applicant has prevented from obtaining the original technology. Hence, in this study, due to the importance of technology and its transfer in the automobile industry, while focusing on the factors influencing this process in Iran Khodro Diesel Company, that is among the largest and most important domestic automakers, it has been tried that the weaknesses and factors that influence the process and provoke these weaknesses have been detected. Also those transfer methods of technology which are according to national polices and strategies, have led to less dependence, and further, after discussion with experts and specialists in this field survey, and using process models, hierarchical analysis, in the Expert Choice soft wear, to compare any of existing standards and methods are discussed, and the best methods, in order of preference, are introduced. And finally, all research results and achievements are summarized in terms of the most appropriateselection model of technology transfer method, and algorithm design, which help to facility decision-making in this selection, and also recommended to other companies in this industry. Manuscript profile
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  4 - Suitable Organizational Structure for Knowledge-Based Companies
  Najaf Allahyari fard Rasoul Abbasi
  Knowledge-based economy is modern economy that production and distribution is based on knowledge and knowledge itself is the main source of growth and wealth creation. Knowledge-based companies are generators of knowledge-based economy. Knowledge-based companies & insti More

  Knowledge-based economy is modern economy that production and distribution is based on knowledge and knowledge itself is the main source of growth and wealth creation. Knowledge-based companies are generators of knowledge-based economy. Knowledge-based companies & institutions are private or cooperative companies that cause synergy of science and wealth, development of knowledge-based economy, achievement of scientific and economic goals (including development and application of invention and innovation) and commercialization of research and development (including design and production of goods and services) in the high technology and high value-added production, particularly in the form of software. Knowledge-based companies can be divided into two categories: micro and macro. K-based companies have made some important features such as job creation, positive competitiveness, generation and development. Those companies are commensurate with their growing economies. Organizational structures of companies in many different companies and organizations are playing an efficient role. The types of organizations and companies determine organizational structure. In this study we reviewe organizational structures, including functional, productional, regional, Matrix, connectional, horizontal, network, associational, star, clover and Virtual. We propose a suitable pattern “network-Virtual-horizontal” for organizational structure of K-based companies. This organizational structure increases productivity in knowledge-based companies. Manuscript profile
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  5 - The role of research and development in economic development of the countries
  Mahnaz Rabiei
  The cost of research and development and technology improvement result in cost decrease, productivity improvement and export growth. New Technologies cause enhancement in production factors and create further variations in productions. Furthermore, technologies create c More

  The cost of research and development and technology improvement result in cost decrease, productivity improvement and export growth. New Technologies cause enhancement in production factors and create further variations in productions. Furthermore, technologies create changes in comparative cost of production, and increase the comparative advantages in corporations and ultimately in the countries. Research, development and innovation costs, and new technologies allow corporations to improve their production abilities; thus resulting in capacity growth, cost reduction, quality improvement, and timely delivery. Unique characteristics of Innovation and new ideas are not challengeable. For example, achievements in a new method, will give others easier access, without causing interruptions to the previous users. Therefore, such products are produced once and can be mass-produced then after. In this article, the importance of research and development in the growth of value added through an endogenous growth is explained. While revising Romer's endogenous model of growth, a mathematic model for Iran's economic growth was made and the effects of R&D, spillovers resulted from R&D, labor force, physical capital and human resource based on OLS was evaluated. While considering the effects of innovation management in R&D improvement, other effects of innovation management were also analyzed. This article intends to analyze the effects of R&D throughout the country and innovation management within corporations to obtain economic growth Manuscript profile
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  6 - Privatization of Incubators; Necessities and Challenges
  Alireza Faraji
  The most important incubators mission is to provide proper basis for establishment, growth and development of new technological private enterprises and to give financial and moral supports to make them successful. Since initial structure of these new enterprises is shap More

  The most important incubators mission is to provide proper basis for establishment, growth and development of new technological private enterprises and to give financial and moral supports to make them successful. Since initial structure of these new enterprises is shaped inside the incubator, financial and moral structure of them is affected with incubator. Verifying this subject with interest to relations between incubator and determinate new units; requirement of incubator to have independence financial resources and to create basis for its own growth and development and experience of successful-abroad-incubators, shows that applyment of private management in state incubators is a favorite strategy to solve a lot of problems; an available and good pattern for determinate units and an optimal structure for incubators management. Manuscript profile
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  7 - Enterpreneurship in a Knowledge-based Perspective: An Introduction
  Seyed jalal Mosavi bazargani
  Cognitive studies of entrepreneurs are in order to find a knowledge-base explanation about concepts which are important for entrepreneurship phenomenon. Seeking opportunity, creativity and innovation and risk taking are the most important concepts for entrepreneurs. To More

  Cognitive studies of entrepreneurs are in order to find a knowledge-base explanation about concepts which are important for entrepreneurship phenomenon. Seeking opportunity, creativity and innovation and risk taking are the most important concepts for entrepreneurs. To distinguish entrepreneur from non entrepreneur people and curriculum and pedagogy development, it is necessary to study their attitudes, mentalities and mind sets. Effectiveness and efficiency (productivity) of entrepreneurship training courses can be evaluated base on entrepreneurial intention, self-efficiency and decision to start an entrepreneurial activity. This paper explains knowledge, human memory, types of knowledge, cognitive styles and predispositions; and finally discuss about their applications in entrepreneurial activities. Manuscript profile
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  8 - Definition, Decomposition and Measurement of Opportunity Recognition Skill
  Seyed jalal Mosavi bazargani
  Entrepreneurship could be considered as an opportunity based management of resources and opportunity recognition is the main differentiating skill of entrepreneurs from the rest of population. Unfortunately no measurement tool for this skill has been developed. In this More

  Entrepreneurship could be considered as an opportunity based management of resources and opportunity recognition is the main differentiating skill of entrepreneurs from the rest of population. Unfortunately no measurement tool for this skill has been developed. In this paper a new tool based on Murphy decomposition of skill and lens model of Egon Brunswik is introduced. An example is provided for further clarification and areas in which the tool could be developed and used are discussed. Manuscript profile
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  9 - Presentation of Human Resource Productivity Model by a Hybrid ESCOP-BSC Approaches
  Reza Aghaei
  10.7508/jstpi.2015.04.005
  T oday, all countries are seeking promotions in productivity field which can obtain more national production by using fewer resources. This is because of the direct relationship between per income of each country and its productivity rate. One of the most important fac More

  T oday, all countries are seeking promotions in productivity field which can obtain more national production by using fewer resources. This is because of the direct relationship between per income of each country and its productivity rate. One of the most important factors in promoting the goals of management in organization are experts’ resources. Therefore, skilled labor are known as a fundamental invest and organization`s success factor. So, the procedures should be modified and the affairs be improved for organization`s success and survival and this creates by making organization`s and employees more productive. On the other word, an organization which can present better and efficient services and lower costs with effectiveness will be more succeed. This study aims to review the related literature and models of productivity, over the past twenty years, to identify the most important factors affecting on the productivity of human resources and to provide the most appropriate human resource productivity model. This study tries to develop the current findings about the principles and rules of human resource productivity using current resources by a library technique. The results showed that the affecting factors on the productivity of manpower to forty-seven indicators that the integrated model of ESCAP and the Balanced Scorecard, a conceptual model by a hybrid SCOP-BSC model encompasses forty seven criterion which are classified into four factors as bellow: technology and knowledge, customer, techniques and process and organizational. Manuscript profile
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  10 - Multi-period Multi-level Supply Chain Network Design in Agile Manufacturing with Tabu Search Algorithm
  elahe salari mohammadreza shahraki abdollah sharifi
  10.7508/jstpi.2019.02.003
  20.1001.1.17355486.1398.15.58.3.9
  Supply chain network design includes key decisions that have a major impact on the supply chain operational structure. Efficient supply chain design improves performance in organizations. This has led to the emergence of new concepts in the supply chain issue in the pas More

  Supply chain network design includes key decisions that have a major impact on the supply chain operational structure. Efficient supply chain design improves performance in organizations. This has led to the emergence of new concepts in the supply chain issue in the past decade. In this study, the supply chain network design problem in agile organizations has been taken into account with multi-level and multi-period. This problem is considered under conditions of having multiple customers with a high demand volume. The decisions include the selection of companies at each level, the amount of production, storage and transportation of each company. The problem has been modeled to integrate all decision variables with the goal of minimizing overall operating costs across the entire supply chain and Satisfaction of customers' complete demand and Satisfaction with them. Since multi-period multi-level supply chain design problem solving is one of the NP-Hard issues in uncertainty conditions, it is better to use innovative and meta-algorithms to reduce problem solving time. For this reason, the algorithm for banning search algorithms, which is one of the meta-algorithms, has been used to solve the model. The results of this research show that as the number of problem-solving repetitions increases, answers with less than 3% of the difference between the optimal answer are achieved. The search algorithm is forbidden to get the optimal response compared to the Lagrange algorithm. Manuscript profile
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  11 - The Role of Business Knowledge in the Process of Internationalization of Companies
  Hossein Abbasi-Esfanjani Minoo Salimi Mohammad taghei  khodaei -gargarei
  10.7508/jstpi.2019.02.002
  20.1001.1.17355486.1398.15.58.5.1
  The main aim of this paper is to identify the knowledge elements that play a crucial role in the internationalization process of companies. Reviewing research literature shows, Companies that use the two-dimensional model for business knowledge divide knowledge into two More

  The main aim of this paper is to identify the knowledge elements that play a crucial role in the internationalization process of companies. Reviewing research literature shows, Companies that use the two-dimensional model for business knowledge divide knowledge into two dimensions: explicit or tacit nature, and the nature of the codified or uncodified. This model states that the tacit knowledge is difficult to transfer to others, while the explicit and uncodified knowledge component is the simplest form of knowledge for transferring to others. The statistical population of the study consist of managers and experts of the foreign trade sector (export and import) of companies that were present in international markets. For this purpose, 104 companies were selected from among five different types of business in East Azerbaijan province, and for data gathering, questionnaire was applied. Findings show that all variables of individual competency of employees, organizational beliefs and habits, and corporate procedures are related to the degree of internationalization. However, the strongest link between internationalization and various elements of business knowledge was identified in the field of organizational beliefs and habits, and individual competence of employees. Manuscript profile
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  12 - Task Scheduling Algorithm Based on the Genetic Algorithm and Dynamic Adaptive Scheduling in a Cloud Computing Environment
  Mojdeh Rabbani Hoda Moradi Asadollah Alirezaei
  10.52547/jstpi.20823.16.64.26
  20.1001.1.17355486.1399.16.64.4.9
  Cloud computing is a concept introducing in the world of information technology recently, and provides an environment for sharing sources. In this environment, an efficient and effective scheduling system plays a fundamental role. Hence, the problem of scheduling tasks More

  Cloud computing is a concept introducing in the world of information technology recently, and provides an environment for sharing sources. In this environment, an efficient and effective scheduling system plays a fundamental role. Hence, the problem of scheduling tasks in cloud computing is a very important issue, which tries to identify an optimal scheduling for performing tasks and allocating an optimal source. The purpose of this research is to provide a new hybrid model for optimization of scheduling tasks based on combination of dynamic adaptive and genetic algorithms in a cloud computing environment. The hybrid model aimed to cover the defects of these algorithms. Based on this model, an initial solution was presented for resolving the weakness of the genetic algorithm, the action of low speed as well as the weakness of the dynamic adaptive algorithm, trapping in local answers. In the proposed model, first, dynamic adaptive algorithm could find an appropriate solution for scheduling problem within a good time using the technique of searching required resources by KD tree and data retrieval in parallel. This solution, as an initial answer, was given to the genetic algorithm, and this algorithm performed the optimal research. As a consequence, the final algorithm, a combination of these two algorithms, provides a better load balancing for cloud resources in a relatively acceptable time. Manuscript profile
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  13 - Designing an Appropriate Collaboration for the Relationship Between Two Partner Organizations Using the Analysis Hierarchical Process (AHP) Based on the BOCR Model
  morteza abasi simin mohebbi ashtiani mohammad hossein karimi fatemeh saberian
  10.52547/jstpi.20846.16.63.50
  20.1001.1.17355486.1399.16.63.3.6
  Today, as global competition in the business world grows, companies need to have a close relationship with their suppliers in order to survive and achieve reasonable profits. Researchers have recently examined some models for supplier selection, with less attention to t More

  Today, as global competition in the business world grows, companies need to have a close relationship with their suppliers in order to survive and achieve reasonable profits. Researchers have recently examined some models for supplier selection, with less attention to the determination of collaboration pattern with selected partners. Despite much research on the types of collaboration models, their features, requirements and achievements, providing a comprehensive and uppropriate model for selecting the most appropriate type of relationship between the two partner organizations has not been sufficiently considered. Generally, supplier-buyer collaboration patterns include outsourcing, strategic alliance, joint investment and ownership. The purpose of this research is to design a model that determines the appropriate collaboration model according to the product characteristics, business conditions and goals of the organization. The model uses profit, opportunity, cost and risk structure, which is a comprehensive and useful model for strategic decisions. In this research, the choice of collaboration model between two partner organizations is investigated in order to design radar components. By library study and interviewing with the experts of the Iranian Defense Industry Organization, the factors influencing the selection of the appropriate cooperation model for the relationship between the two partner organizations were identified and prioritized. A Hierarchical Analysis Process Model (AHP) is designed to prioritize the relevant criteria and sub-criteria. Pairwise comparisons were made according to the experts' opinion and the results were analyzed using SuperDisign software. Manuscript profile
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  14 - Designing a Technology Innovation Hub Pattern Using Interpretive Structural Modelling (ISM) Approach
  Ramazan  Mahdizadeh parviz saeedi Babak  Ziyae Ahmad Mehrabian
  10.52547/jstpi.20986.17.66.32
  20.1001.1.17355486.1400.17.66.6.2
  The Innovation Hub is a unique research and innovation ecosystem. It is a global environment that attracts high quality academic members, researchers, students, innovators and entrepreneurs. Innovation Hub as essential components of knowledge-based economic and social d More

  The Innovation Hub is a unique research and innovation ecosystem. It is a global environment that attracts high quality academic members, researchers, students, innovators and entrepreneurs. Innovation Hub as essential components of knowledge-based economic and social development in the innovation ecosystem have been expanding in recent years and have been considered by science and technology policymakers in countries during the growth mechanisms of technology businesses. For the growth of technological innovations in developing countries, it is necessary to have a deeper knowledge and understanding of the processes of innovation development structures in order to achieve the desired effectiveness in implementation and modeling, so the present study seeks to aim at how the Technology Innovation Hub modelis. In this study, a qualitative and quantitative mixed method was used. Researchers identified key factors in creating the innovation hub by library studies and interviews with experts. These factors included six dimensions of network and social interaction, infrastructure and resources, the existence of innovative and knowledge-based companies, institutional factors, team and structure. In this study, using Interpretive Structural Modeling (ISM) method, the factors affecting the creation of the Technology Innovation Hub were superficially prioritized and the relationships between the factors were calculated. The results showed that the management team factor and the structure with high degree of permeability and low dependence have had the greatest impact on the relationships between the factors. Manuscript profile
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  15 - Investigation of face recognition methods based on deep learning algorithms
  Pezhman Gholamnezhad Ehsan Sharifi
  10.61186/jstpi.21039.19.73.16
  20.1001.1.17355486.1401.19.73.3.3
  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 met More

  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. Manuscript profile
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  16 - A Supervision System on Organic Products Supply Chain Based on Blockchain Technology
  FERESHTEHAZADI PARAND َAli TAVAKOLIGOLPAYGANI Negin Ghaderi
  10.61186/jstpi.32595.19.76.52
  20.1001.1.17355486.1402.19.76.2.2
  Nowadays, based on the spreading of information technology, food consumers especially organic food increasingly want to be informed about the history of food products that they are buying. They want to know about the origin of food, the condition of storage, transportin More

  Nowadays, based on the spreading of information technology, food consumers especially organic food increasingly want to be informed about the history of food products that they are buying. They want to know about the origin of food, the condition of storage, transporting, etc. besides the information are printed on the packages. In this paper, we are proposing a back and forth supervision system on organic products supply chain based on blockchain technology to ensure data integrity and allow data tracing. The proposed system as a decentralized and secure infrastructure database improves food security and safety, and reduces fraud by verifying the quality and the origin of the products throughout the entire their agricultural supply chain. A unique Quick Response code was used to identify each product within the supply chain. Automated protocols on validation each transaction and events related to a product by peers of the Blockchain system enable data transmitted on the network to be verified and stored immutably and minimizing the risk of data corruption. Manuscript profile
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  17 - Improve security in cloud computing infrastructure using block chain protocol
  Mohsen Gerami Vahid Yazdanian Siavash Naebasl
  10.61186/jstpi.34504.19.76.1
  20.1001.1.17355486.1402.19.76.7.7
  Security in cloud computing is very important, cloud computing security is a set of computer security and network security in general is information security and when a processing task by using the virtual machine scheduling algorithm in the cloud for processing Unloadi More

  Security in cloud computing is very important, cloud computing security is a set of computer security and network security in general is information security and when a processing task by using the virtual machine scheduling algorithm in the cloud for processing Unloading will be This virtual machine will not be able to distinguish the normal mobile user from attackers, thus violating the privacy and security of the transmitted data, so after determining the unloading strategy, the China block can be used in information security. And the information of each server is encapsulated and unloaded in the form of a block. In this research, a proposed solution is presented, which is the combination of China blockchain and cloud computing to increase security and efficiency. The proposed solution is implemented and evaluated in order to evaluate its efficiency increase compared to other existing solutions. Manuscript profile