List of Articles مدل‌سازی

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  1 - Business Models; Principles, Evaluation, Innovation
  Manochehr Manteghi Fatemeh Sabeti Saeedi
  These days, organizations environment has become more competitive. According to business researchers, achieving a competitive position for the company is possible only by the proper business model. A successful business model indicates a better option so that it can off More

  These days, organizations environment has become more competitive. According to business researchers, achieving a competitive position for the company is possible only by the proper business model. A successful business model indicates a better option so that it can offer greater value to a distinct group of customers and bring greater benefits to the company. At the start of a business, failure to identify an appropriate business model, leads to the failure of organizations to achieving its goals. Despite the importance of this issue, there is no standard for the definitions and components of business models. Hence, in this study, definitions and components of business models are discussed, according to the different approaches in modeling business models. However, merely having a good business model at the inception of a company is not enough; what is more important is utilizing and maintaining a proper business model over the life of the institution.The power of a business model is such that it can be a powerful tool for analyzing, testing, and evaluating organization's strategic options. Therefore, an organization business model evaluation as a strategic decision-making process will never stop and can be a basis for continuous improvement of the business. Business model evaluation differs according to the levels and units of analysis. In this study,by reviewing the different studies, the most important criteria and methods of business model evaluation has been proposed.Business models are the representation of businesses at a specific time. Rapid technological, economical, cultural and political changes lead to a more complex organizations environmentand dynamic business evolution. This causes instability of business models. Therefore, they change by the development of businesses. Hence, business model innovation has become one of the most important issues in management science. This concept has been studied in the final part of this study. Manuscript profile
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  2 - Analysis of the Effect of Brand Promotion on Human Resource Performance in Science and Technology Parks
  Dariush Poursarrajian Mohammad Saeed Taslimi Alinaghi Mashayekhi Ali  Haji Gholam Saryazdi Mojgan Soltani
  10.52547/jstpi.20990.18.70.1
  20.1001.1.17355486.1401.18.70.1.2
  In the present age, intangible assets such as branding, quality, technology, innovation, creativity, and knowledge capital are the source of organizations' competitive advantage. Organizations need to be able to create the right mental image of themselves in the minds o More

  In the present age, intangible assets such as branding, quality, technology, innovation, creativity, and knowledge capital are the source of organizations' competitive advantage. Organizations need to be able to create the right mental image of themselves in the minds of their community, customers, and employees to attract and retain motivated, committed, and talented human resources. Given the importance of this issue in science and technology parks as technology and knowledge-based institution, whose most important assets are knowledgeable people, this article seeks to use the system dynamics approach of dynamic relationships of brand promotion policy on human resource performance in the park. Examine science and technology and provide appropriate solutions to improve the structure, quality, and quantity at the level of parks and ultimately improve the performance of science and technology parks. In this regard, using the opinions of experts in in-depth interviews in group model building (GMB) sessions, the problem was explained and a dynamic hypothesis was developed and a qualitative model (cause and effect diagrams - CLDs) and a quantitative model (stock and flow diagram - SFD) were developed. The results of group modeling in this paper lead to the identification of three strategies to increase agility and performance flexibility through the development of revenue sources, development of national and international science and technology parks, development of communications, and the scope of influence and development of specialized institutions, Technology, and communication with industry/market. Manuscript profile
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  3 - Designing a digital entrepreneurship model with an interpretive structural modeling approach
  hossein alikhani alireza isfandyari parviz saeedi
  10.52547/jstpi.21009.18.70.64
  20.1001.1.17355486.1401.18.70.4.5
  Entering the age that is common in the information society, entrepreneurship in the digital space as a new approach to starting businesses based on a new thinking and idea has found a prominent place among service and production activists. He was the founder of Mazandar More

  Entering the age that is common in the information society, entrepreneurship in the digital space as a new approach to starting businesses based on a new thinking and idea has found a prominent place among service and production activists. He was the founder of Mazandaran province that structural and interpretive modeling method was used in designing this model. The research method was descriptive-correlational. According to the research background,39components were selected in the form of seven dimensions (structural-strategy-management-people-technology-content-environment).Then,the opinions of 20 university professors and managers of knowledge-based companies who were experts in the field of digital entrepreneurship were used. Interpretive structural modeling and MICMAC analysis were used to cluster the dimensions of digital entrepreneurship. ISM results showed that the foundation of digital entrepreneurship is first (structural-technological), second (managerial), third (strategy) and fourth (people-content-environmental). Also, after MICMAC analysis, the dimensions (structural-technology) in the independent cluster and the dimensions (individuals-content-environment) in the dependent cluster and the dimensions (strategy-management) in the autonomous cluster were included. Finally, it can be said that digital entrepreneurship is important not only for technology companies and IT sectors, but also for all industries. Manuscript profile
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  4 - Localized Content Analysis Model of Four Pillars of Knowledge Management Based on Sustainable Change Approach
  Tahereh TashayoieNejad Mohsen Ghadami Mohammad Taghi  Ziae Bigdeli hamide reshadatjoo Maryam  Khaliliaraghi
  10.61186/jstpi.27259.19.74.61
  20.1001.1.17355486.1402.19.74.2.8
  The purpose of this study is to present a localized content analysis model of four pillars of knowledge management based on the continuous change approach. This study is the practical research in terms of orientation. The statistical population includes academic experts More

  The purpose of this study is to present a localized content analysis model of four pillars of knowledge management based on the continuous change approach. This study is the practical research in terms of orientation. The statistical population includes academic experts and theoretical experts. Theoretical experts include university professors who are knowledgeable in the field of knowledge management. Experimental experts also include managers with more than 15 years of experience in the Export Development Bank. Non-probabilistic and purposeful methods have been used for sampling. The sampling process continued and finally 11 experts participated in this stage. Using qualitative analysis of grounded theory, a number of concepts of extraction and coding of indicators were performed. Following the research process and its quantitative part, by performing the fuzzy Delphi technique in 3 rounds, the criteria obtained from the qualitative analysis of the research were screened and validated. Then, ISM method was used to identify the relationships of the localized model of the four pillars of knowledge management based on the continuous change approach and to reflect the internal relationships between the criteria. Based on data analysis in the structural-interpretive modeling section, knowledge management (WM) is first level or dependent. The variables of organizational leadership (OL), organizational culture (OC), organizational technology (OT), organizational learning (LO) are the second level. The variable of continuous change (CC) is the third level. Finally, the variables of personal competence (SC), mental patterns (MP), shared vision (SV), team learning (TL), systemic thinking (ST) are in the fourth level. Manuscript profile
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  5 - Modeling Cloud Accounting Risk Reduction Strategies with a Structural-Interpretive Approach
  sakineh tajari Ali Khozein majid ashrafi Jamadverdi   Gorganli Davaji
  Cloud accounting not only introduces specific risks to the accounting process, but also some of the known risks associated with other cloud-based applications. Considering the great importance of risk reduction strategies in accepting cloud accounting, the aim of this s More

  Cloud accounting not only introduces specific risks to the accounting process, but also some of the known risks associated with other cloud-based applications. Considering the great importance of risk reduction strategies in accepting cloud accounting, the aim of this study is to investigate the strategies for reducing cloud accounting risks in Iran using structural-interpretive modeling. the research methodology is a combination of qualitative and quantitative methods that are used to collect the components of strategies for reducing cloud accounting risks from a qualitative method by examining theoretical foundations and performing fuzzy Delphi analysis with the participation of 16 accounting faculty members as experts. In a small part, through the formation of its own structural interaction matrix, it seeks structural-interpretive modeling, which has been done in this part with the participation of 12 faculty members in the field of accounting. the results show that the most basic strategies to reduce cloud accounting risks are based on the prioritization of the acceptance plan. Also at the highest level and least effective strategies to reduce the risks of cloud accounting is to provide timely and adequate training for employees. the most important strategy is to reduce the risks of cloud accounting and should be considered more than other strategies. research findings can fill the research gap in the field of cloud accounting and be useful for managers in decision making. Manuscript profile
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  6 - Analysis And Design Of Niroo Innovation Ecosystem: Experiences And Lessons For The Future
  Alireza Valyan Mohammad Saleh Oliua
  10.52547/jstpi.39813.19.73.19
  20.1001.1.17355486.1401.19.73.9.9
  By increasing the role of innovation in the economy of countries and turning it into the most important competitive advantage, attention to this concept has increased. Analysis and design of systems that foster innovation have thus been the focus of science and technolo More

  By increasing the role of innovation in the economy of countries and turning it into the most important competitive advantage, attention to this concept has increased. Analysis and design of systems that foster innovation have thus been the focus of science and technology policymakers in recent years. One of these systems that have generated many debates in the scientific and professional communities in the field of innovation over the past decade is the innovation ecosystem. Iran’s power and water industry, including numerous companies, research and technology organizations, technological and knowledge-based companies, and supporting institutions can be considered an innovation ecosystem whose elements interact with each other to exchange value to reach the goal of providing reliable and sustainable water and electricity for the society. This article is the result of a project to analyze, design, and establish the energy innovation ecosystem. In this direction and based on soft modeling methods, role analysis and mapping workshops were held with stakeholders and key players of the energy innovation ecosystem. The approach of complex adaptive systems was used to identify and analyze the dynamics of this ecosystem. Based on the obtained results, the roles and duties of each of the actors of Niro's innovation ecosystem were obtained in the form of an aligned structure including two levels of counter and support elements in the scope of the commercialization process. The results of this article can provide researchers and activists in this field with a new perspective on the policy-making of innovation ecosystems. Manuscript profile