List of Articles ساختاری تفسیری

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  1 - Evaluating the performance of the garment industry with an export approach with Interpretive Structural modelling (ISM)
  Hamzeh Amin-Tahmasbi Yasaman  Zahedan
  10.52547/jstpi.20850.18.72.26
  20.1001.1.17355486.1401.18.72.1.6
  The garment industry is one of the important and flourishing industries in the country that seems to grow in the export market besides the internal market. It’s considerable that performance measurement is a vital tool for access to basic improvements and it’s important More

  The garment industry is one of the important and flourishing industries in the country that seems to grow in the export market besides the internal market. It’s considerable that performance measurement is a vital tool for access to basic improvements and it’s important in management. Therefore this research sought to found important and influencer indicators in the garment industry and determine the relationship between these indicators and their preference for each other. For perform this investigation, 35 indicators, obtained from literature review, filtered using questionnaires and experts opinion and then 16 indicators were selected as basic indicators based on Fridman’s method. Using ISM, a meaningful relationship and the importance of indicators were extracted. Penetration power and dependence of indicators determined with the MICMAC analysis. The ISM model showed that the “quality of design”, “planning”, and “applied education with the aim of export increase” indicators have the most impact and they act such as the infrastructure for the model. Also “new product introduction”, “brand promotion”, “increase ordering level”, “marketing”, “effective presence in international markets” and “financial” indicators stand at the top level of the model and are influenced by other indicators. MICMAC analysis showed that “quality of design”,” quality of adaptation”,” planning”, and “applied education with the aim of export increase” have strong driving power but weak dependence power; As a result, these factors are driving in the garment industry and should be a priority for the organization. Manuscript profile
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  2 - Entrepreneurial University; Higher Education Sustainable and Consistent, Leverage on the Path to Sustainable Development
  HOSSEIN Samadi-Miarkolaei hamzeh Samadi-Miarkolaei
  10.52547/jstpi.20851.17.65.12
  20.1001.1.17355486.1399.17.65.2.2
  Nowadays, the sustainable development has become an ideal and great challenge. The universities are obligated to realize this ideal in higher education, and undoubtedly, the role of universities in sustainable development is undeniable. In the meantime, the appearance o More

  Nowadays, the sustainable development has become an ideal and great challenge. The universities are obligated to realize this ideal in higher education, and undoubtedly, the role of universities in sustainable development is undeniable. In the meantime, the appearance of entrepreneurial university is a response to increasingly importance of knowledge in the national and regional innovation system and new understanding of university; i.e. the institution which is counted as a factor for development, knowledge and technology transfer, and the source of creative inventions, and is good and thrifty economically. Therefore, present research is conducted to explain and investigate the entrepreneurial university model toward achievement of sustainable development in Mazandaran universities. This research, in terms of purpose, is an applied research, and in terms of data gathering, is a descriptive research. First, by means of literature review and interview with experts, the primiarly questionnaire is designed and the principal indices of entrepreneurial university model are extracted. Then, the FDEMATEL is used to explore the causal relations between variables, and finally, the (FDISM) is used to design the structural model. Results showed, among explored indices, five variables play a causal role and five variables play an effectual role. Results of fuzzy weighting technique showed, among explored indices, the indices of vision, mission, and strategy in university possess the most weight and importance. Also, FDISM approach showed the variables have been categorized into seven levels, and the variables of vision, mission, and strategy in university, leadership in university, and organizational structure and design in university are more influential as infrastructural factors. Manuscript profile
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  3 - 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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  4 - 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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  5 - Provide a Pattern Sustainable Tourism Development with Emphasis on Technology Commercialization in Iran
  shirin amirhosseini سید محمدرضا حسینی Roohalla samiee
  In today's era, many development planners and policymakers refer to tourism as the main pillar of economic development and believe that the basic method of tourism development is to achieve sustainable development, and the develop ent of sustainable tourism increases ta More

  In today's era, many development planners and policymakers refer to tourism as the main pillar of economic development and believe that the basic method of tourism development is to achieve sustainable development, and the develop ent of sustainable tourism increases tax revenues, exports and economic growth of countries. The aim of the this research was to present a model of sustainable tourism development with an emphasis on technology commercialization in Iran, which was done in a combined manner and is practical in terms of purpose and based on the descriptive-correlation method. Factors affecting the development of tourism were identified with an emphasis on technology commercialization based on in-depth interviews with 11 academic and organizational experts. The output of this stage was 35 components in the form of 4 dimensions: technology, economic, market awareness, laws and guidelines, That were leveled with interpretive structural modeling method and clustered with Mic Mac analysis, which was analyzed using Excel software. The results showed that the economic dimensions, market knowledge, rules and guidelines are in the first level, and the technological dimension is in the second level. The economic dimension is in the dependent cluster, the dimensions of market knowledge, rules and guidelines are in the linked cluster and the technology dimension is in the independent cluster. Based on the results of the research, it is suggested that information and communication technology tools should be seen in all official and unofficial tourism. Manuscript profile
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  6 - Provide a B2C e-commerce Pattern with an emphasis on Sharing Economy
  Fazel Bazrafshan Jamshid Edalatian Shahriari Nosratollah Shadnoush
  10.61186/jstpi.33375.19.73.35
  20.1001.1.17355486.1401.19.73.6.6
  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 innovat More

  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. Manuscript profile