فهرست مطالب عباس خمسه

The aim of the current research is to provide a model of factors affecting the implementation of green supply chain management in the construction industry. This research was conducted using a mixed approach. The current research design is the analysis of hidden content and the target community, managers and contractors active in the construction industry and familiar with the supply chain of this industry, and the purposeful sampling method was used. For modeling, the structural-interpretive method was used, and finally, the power of penetration and the degree of dependence of the factors were determined by using Mick-Mac analysis. In order to identify the components of the research, first, a meta-combination approach and a systematic search of sources were used in the period between 1392 and 1402 for internal research and between 2013 and 2023 for external research, and then semi-structured interviews with 14 experts were used. Based on the findings of the research, 101 primary codes were extracted in 14 categories including: internal environmental management, green technology, reverse logistics, green purchasing, green design, green construction, green transportation, green human resources management, green marketing management, internal and external obstacles and drivers. and green supply chain management performance were classified. Also, the modeling results have shown a five-level model in which internal and external drivers and obstacles were placed as the most influential variables in the fifth level and the green supply chain management performance variable as the most influential variable in the first level.

One of the most important factors for the success of a startup is its valuation. At the same time, due to the transition to a new type of efficient economy based on sustainable resources, the role of green technology is increasingly progressing. This study aims to investigate the dimensions affecting the valuation of startups, with a focus on the valuation of green technology. The statistical population consisted of 12 experts related to the field of startups, selected through purposive sampling using the snowball technique until theoretical saturation. Data were collected through semi-structured interviews. Data analysis was performed using the 2020 MAXQDA software. The final model was confirmed with 210 indicators, 24 categories, and 6 dimensions in the form of a paradigm model, with the green business entity as the central condition, causal conditions (business team), contextual conditions (green technology and green innovation), intervening conditions (risks), strategies (environmental factors), and financial services (consequences) for startup valuation. According to the findings, the category of environmental factors has the greatest impact on startup valuation, and investors should pay more attention to government support, international conditions, market characteristics, and processes when evaluating the green value of a startup. It was also observed that green technology and green innovation have a lower impact compared to other dimensions, as startups are formed based on a new idea and the use of technology.

Today, the world is on the verge of a new industrial revolution called Industry 5.0. This new paradigm is based on a combination of advanced technologies, such as artificial intelligence, the Internet of Things, robotics, virtual and augmented reality, and biotechnologies. With the rapid evolution of the Industry 4.0 paradigm and the emergence of the Industry 5.0 vision, there is an urgent need to examine and analyze the factors that facilitate or hinder effective technology transfer processes. Technology transfer refers to the deliberate transfer of knowledge from individuals or organizations that have created it to others so that it can be used to produce new products or deliver services. The present research aims to explore the key dimensions and components affecting technology transfer in the context of Industry 5.0, with a focus on the technological entrepreneurship approach, which is important because technological entrepreneurship plays a pivotal role in driving innovation and transforming scientific achievements into commercialized products and services.

The study adopted Sandelowski and Barroso’s qualitative meta-synthesis approach. The process began with a systematic review of 457 initial articles, and ultimately, 28 articles relevant to the research objective were selected. The inclusion criterion was publication in the fields of technological entrepreneurship and Industry 5.0 between 2017 and 2024. The reliability of the findings was assessed by the kappa coefficient (0.72), which indicated acceptable reliability. To validate the proposed model and increase its acceptability, the method of review by experts was utilized. Additionally, the results obtained were validated and reviewed by experts to ensure their confirmability.

Based on the findings of the meta-synthesis, 55 components were identified within five main dimensions as factors influencing technology transfer within the framework of Industry 5.0 with a technological entrepreneurship approach. They include (1) technological innovation ecosystems, including technological infrastructure, skilled human capital, and free flow of knowledge, (2) agile and flexible business models aligned with rapid technological changes, (3) collaborative partnerships among various actors in the innovation ecosystem, (4) digitalization of processes and data-driven decision-making, and (5) appropriate legal, policy, and supportive frameworks.

Conclusion/ Implications:

 The results highlight the importance of employing entrepreneurial strategies and approaches in facilitating and shaping technology transfer processes in the Industry 5.0 vision. The results indicate that success in technology transfer in this domain requires holistic attention to infrastructural, commercial, legal, and interactive factors within an integrated innovation ecosystem. By identifying and clarifying the key factors that play a role in successful technology transfer initiatives in the Industry 5.0 domain, this research provides insights and practical guidance for policymakers, technological entrepreneurs, and other stakeholders involved in these processes. These findings can contribute to strengthening technology transfer processes and guiding innovative orientations in the upcoming era of Industry 5.0.

 Regarding the importance of innovation and adopting appropriate strategies in the competitive advantage of banks, this paper tries to investigate the moderating effect of dynamic knowledge management capabilities on the relationship between innovation strategy and tourism bank performance.The statistical population of this research is the branches and headquarters of Tourism Bank in Tehran. The statistical sample was determined by Morgan's table of 247, and due to the probability of questionnaires falling, 15% was added to the sample size, which was 284. To assess the validity of the questionnaires, expert judgment was used and for reliability, Cronbach's alpha and SPSS software were used.Structural equations and AMOS software were used for data analysis.This research is an applied and descriptive-survey type.The results show that the dynamic knowledge management capabilities have a significant impact on the relationship between innovation strategy and performance in tourism bank.Other results also indicate that service innovation, process innovation, and organizational innovation have a significant impact on the performance of tourism banks by considering the moderating role of dynamic knowledge management capabilities. 

During the last years, the emergence of new technologies and the creation of great changes in global markets have made it more necessary to pay attention to technology and project portfolio management.

With the aim of analyzing the factors and components of the portfolio management of health R&D projects.Research

The research is applied in terms of purpose, which was conducted with the qualitative method of Sandusky and Barroso's seven-stage Metasynthesis model. The statistical population is all studies conducted in Iranian articles from 1393 to 1400 and foreign articles from 1998 to 2022, previous researches, databases.

In this regard, 260 researches in the field of the subject were evaluated and finally 60 articles were selected purposefully and by analyzing the content and combining the relevant literature with open, central and selective coding methods, a total of 100 open codes, 19 central codes, 14 The key category was selected and analyzed during the systematic search and combination process, and its validity was confirmed through Kaufman's kappa test.

key categories identified include; Financial management, intellectual capital management, technology management, IT management, R&D management, strategic management, project portfolio management, healthcare services management, health information technology management, quality management, political factors, cultural factors, economic factors and The legal factors were categorized into three categories: main, contextual, and environmental factors, and finally, after going through the seven stages of the research, the portfolio management model of R&D projects in the field of health services based on information technology was formulated.

The present research was conducted with the aim of presenting a sustainable innovation development model in information technology startups based on grounded theory approach. The method used in the research is qualitative and based on grounded theory strategy. An in-depth interview tool was used to collect data.The target population was the managers and senior experts of startups who participated in the sustainable innovation process and decisions of information technology startups, using targeted sampling after 11 in-depth interviews, theoretical saturation was achieved. In the foundation's data approach, in this research, during three stages of open, central and selective coding, 24 general categories have been expressed in a paradigmatic format, including causal, contextual, intervening conditions, central categories, strategies and consequences.The results showed that the sustainable innovation development in information technology startups by causal conditions (risk tolerance, analysis of the business situation of the startup's sustainable innovative capabilities and technology absorption capacity), contextual (organizational structure of startups, market orientation and organizational readiness), intervening (infrastructures legal, managerial factors, behavioral patterns, environmental factors and economic uncertainty), core categories (open sustainable innovation, technological capabilities and optimization of innovation processes), strategies (development of digital technologies, strategic planning for startups, value creation of startups and co-creation) and consequences (competitive advantage, strategic intelligence, business model improvement, digital transformation and organizational effectiveness) are realized.

The spillover of defense technologies in commercial businesses has an effective role in the development of technology, production, employment and economic growth of the country. The main purpose of this study is to design a model to evaluate and forecasting of defence technologies spillover to civillian with ANFIS. The research statistical population includes experts in the field of defence and civillian. The research is applied research in terms of method and according to the use of fuzzy inference system for modeling, it is of mathematical modeling type. The difference between the output values of ANFIS and the input data to an acceptable level of 6.6252*10-7 (the average error calculated in the model training stage) indicates the approximate compliance of the real data with the predicted data and implies It is designed on the lack of over-fitting phenomenon in ANFIS. In other words, the obtained model has a high power of prediction and we see a positive effect on the modeling ability to generalize. policies and laws with a weight criterion of 28.82% have the highest impact on the research model and it is necessary to consider the necessary policies and laws to make optimal use of the technological capabilities of the defense sector in the civilian sector. Also, communication factors, technological capability, environmental factors, socio-cultural factors, economic-financial factors and technological characteristics affect the model, respectively.

In this article, the results of the investigation of the key factors affecting the portfolio management of research and development projects based on information technology in the field of health and treatment are presented using the Delphi method. For this purpose, an explanation will be given first about the management of research and development project portfolio, and then the research problem will be defined by providing evidence from all the studies conducted in Iran and the world. The review of previous researches and studies in the field of key factors on the management of the portfolio of research and development projects on information technology in the field of health and treatment and their summary forms the next part of the article. In the following, the research method, especially the Delphi method, is explained, and at the end, the findings of this research are described and analyzed. To carry out this research, firstly, with library, studies and literature review of the research topic and the opinion of experts in the field of study, key factors and indicators were extracted on "management of the portfolio of research and development projects based on information technology in the field of health and treatment" and 67 indicators for research were identified. In this research, a 7-point Likert scale was used to obtain experts' opinions. Based on the findings of this research, the data of experts in this field were analyzed. These factors were categorized into three categories: main, contextual, and environmental factors, and at the end of the third round of Delphi, less important indicators were removed. At the end, limitations and suggestions are presented.

The expansion of conventional commercial banking from 1960s and 1970s gradually gained significant pace due to the development of digital industry, the increase of innovations in the banking sector and an accumulative utilization of the capabilities of scientists in the field of information technology. Over the past three decades, Iran's banking system has recognized Fintechs and has gradually turned from confronting and competing with Fintechs to cooperation and collaboration with them. In this article, in order to achieve a solid frame work of how the interactions and cooperation of Iran's banking system and Fintech companies are related to the determination and development of a comprehensive model, contributions to detailed studies has finally concluded to the necessity of using a strategic and flexible cooperation approach, in the structuring of collaboration between the banking system and Fintech companies. In this research, which is of a qualitative type, in order to provide a paradigmatic qualitative model based on grounded theory approach, 14 of best local experts were interviewed and Atlas T software, was used to present the results. The results of this research can not only be used by experts, activists and policy makers in this field to evaluate the consequences and trace optimal strategic interactions in the country's banking system, but also clearly show the necessity of entering into strategic collaboration between banking system and Fintech companies.

The purpose of this research is to identify the dimensions and components of the maturity model of the open innovation ecosystem in Iran's defense industries based on the purposeful use of knowledge flows, in the form of ideas, science or technology in order to create value that can bring significant benefits to the individuals and organizations, including accelerating the main processes inside the organization (internal innovation) or expanding the market (external innovation) outside the organization. This research is an applied-basic one. In order to do so, 485 papers in the field of open innovation were collected using the meta-synthesis method. Based on the algorithm for selecting the final articles, the data of 80 articles were analyzed, and the maturity model of open innovation ecosystem was designed using the coding method and Maxqda Analytics Pro Software. To check the quality or reliability of the indicators, Kappa coefficient was used in SPSS software, which is equal to 0.86 in the current research, that indicates the appropriate reliability of the indicators. The analysis of the concluding model and the findings of this research showed that the open innovation ecosystem has several components in forms of 13 categories and 23 concepts, including collaborations and joint ventures, investment in ideas and research, and crowdsourcing. Also, the results showed that participating in investment, making mutual contracts with companies active in the field of business, and acquiring small and knowledge-based companies can accelerate the main processes of innovation within the organization.

A crisis is an accident occurs suddenly as a result of natural and human events and actions and causes hardship and damage to a human community or society, and eliminating it requires emergency and extraordinary actions and operations and depends on identifying the crisis and raising awareness at the right time. In this context, the best and most effective way to attract social collaboration is through a new combination of different ideas and forms of cooperation and creating an entirely new approach to a social issue called social innovation. This study seeks to identify the dimensions of social innovation based on public participation in the event of the COVID-19 crisis. This research has practical objectives in which the grounded theory strategy has been used qualitatively. In this study, experts from the statistical community were selected from the Ministry of Health and Medical Education. Exploratory analysis method has also been used to identify the effective factors in social innovation. Based on the analysis of research data, the categories including: effectiveness of public participation, investment to attract participation, management ability, networking ability, general policymaking ability, necessary cultural and educational infrastructure, the existence of capable legal organizations to solve executive problems, facilitate Coordination, control, containment and mitigation of the effects of the crisis were identified as the eight main factors in social innovation based on the public participation and the government. The COVID-19 pandemic proved that government institutions and the structure of the health system in all countries were insufficient to respond to such a widespread crisis. The results of this study enable policymakers to have a model for social innovation in order to maintain and ensure the health of society, especially in times of crisis, by attracting public participation.

With the research on the country's mega projects, one of the main failure factors in their project management can be sought. Modern aircraft design and construction projects are complex projects known as megaprojects. This research presents a model for managing complex megaprojects in this industry.

This research is a type of combined research (qualitative-quantitative), and for this purpose, while interviewing aviation experts, the features of aerial mega projects are identified and coded by MAXQDA2020 software, and then the indicators identified in a questionnaire from experts related to the project. Using SMARTPLS3 software, classification and ranking of components and indicators were performed.

In this regard, the designed model has two dimensions, features and management of the megaproject, and 10 main components and 40 indicators were classified and ranked. Finally, the most crucial main component was strategy management.Originality/Value: In this study, considering the importance of aerial projects and the fact that the country has moved towards the design and construction of native birds and several projects in this field have been defined and completed, the characteristics of complex mega projects in the aircraft design and construction industry are determined, and has designed an appropriate model for evaluating the management of complex megaprojects in the aircraft design and construction industry for the first time.

The purpose of the current research is to identify the components of technology commercialization in the oil and gas industries in order to transfer the technology to other companies. Despite governmental requirements and also the existence of potential technological capabilities in this industry, revenue generation from the commercialization of technology and wealth creation from its transfer to other companies has been a neglected issue. This research is practical in terms of purpose and its approach is qualitative. The implementation of the survey is based on the steps of the grounded theory, including open coding, axial coding, and selective coding. For this purpose, in addition to extracting basic concepts based on the review of articles, books and theses, more than 200 open codes were determined in 46 classifications from the semi-structured interview method with 11 senior managers of the Ministry of Petroleum. Finally, 10 main components were identified in the form of a qualitative model of technology commercialization.

Industry 4.0 technologies can increase efficiency, promote the use of full production capacity, reduce costs, and thus improve the profitability of companies. Knowing the factors affecting the adoption of these technologies will greatly help manufacturing companies to invest in this field. This research aims to provide a pattern of adoption of Industry 4.0 technologies in Iran's auto part companies. In order to achieve the goal in this research, a mixed exploratory research method has been used in two stages, qualitative and quantitative. In this way, first, 86 related articles were reviewed using the metasynthesis method and the factors affecting the adoption of Industry 4.0 technologies in industries were identified. Then, in the Delphi phase, with the help of 15 experts in this field, these factors were localized and screened. In the quantitative stage, the data obtained from the analysis questionnaire and the final model were presented using the structural equation modeling approach using the partial least squares method. Based on the results, 38 indicators in the form of 11 dimensions and 4 main factors "organizational", "industrial", "national" and "international" were identified as effective factors on the adoption of Industry 4.0 technologies in Iran's auto part companies.

The purpose of this article is to identify the inhibiting factors in the implementation of green supply chain management in the construction industry. This research is practical from the point of view of the goal and qualitative from the point of view of the type of data and analysis method. The socio-statistics of the research were all domestic and foreign scientific sources and databases that were investigated in the research. The search period for research sources is between 1392 and 1402 for domestic research and 2013 to 2023 for foreign research. The meta composition approach and interpretive paradigm were used to identify the components, and the Kappa coefficient was used to verify the reliability of the extracted data. In this regard, based on the keywords of the research, 749 relevant internal and external sources were evaluated and screened, and finally, based on the entry and exit criteria, 31 sources were left in the research basket for review, which was done using the content analysis method in the coding process. Again, 42 primary codes were extracted, which were categorized in the form of 7 concepts and 2 categories and presented as a conceptual model. Based on the findings of the research, the concepts: cultural and social, government and regulatory institutions, market, networking and participation were identified in the category of external barriers and concepts: financial, interorganizational and technological in the category of internal barriers to the implementation of green supply chain management in the country's construction industry.

Proper pricing of products and services is one of the most important initiatives of any business, which is more complicated in multimodal transport companies due to their special nature. Faced with the complexities of pricing issues, most of the time managers' decisions are influenced by emotions because there is no accurate information to make a decision or this information is not available to senior managers. Therefore, the main purpose of this study is to identify the effective components of pricing of freight transportation services, as the most important part of the multidimensional transportation marketing mix. As a result, qualitative and applied research was defined to identify these components and indexes. By studying previous research, a qualitative Delphi questionnaire consisting of 8 factors and 64 indexes was prepared and sent to 15 senior managers of multimodal transport companies in the Middle East and North Africa region. After 3 rounds of the Delphi questionnaire consensus between expert panel members has been achieved. Adopting a theoretical framework according to result analysis showed that, at the both firm levels and at the macro level, all identified components were effective, but 10 of the identified indexes were removed and 5 new indexes were added by the panel members. As a result of the expert panel consensus, a conceptual model for the pricing of multimodal freight services in the Middle East and North Africa region was proposed.

This article aims to present the model of social banking innovation process with digital transformation approach by fuzzy Delphi method, which is applied in terms of purpose and qualitative research in terms of data collection. The statistical population includes all university experts and senior bank managers who were selected for the Delphi process using 16 people using the snowball technique. The collection tool in this study is the Delphi questionnaire. Indicators were collected using fuzzy Delphi technique. The validity of the research was obtained by agreement of experts and validity with the help of consensus and formal validity. The results showed that during the three stages of the survey of 66 components, the final model has 43 components and has 6 dimensions. Based on the results obtained from fuzzy Delphi method and research literature was expressed. The 43 factors (indices) identified and approved by experts are the basis of the formation of the research model, which are classified into 6 separate groups: 1- Social factors (SF), 2- Rules and policies (RP), 3- Digital transformation infrastructure (DTI), 4- Innovative approach (IA), 5- Security (S) and 6- Banking industry structure (SBI)

Global crises have turned the development of the national economy into a fundamental problem. One of the ways to achieve economic development is to improve the commercialization mechanisms of scientific research. By looking at the performance of agricultural researches in the past years, it can be seen that, contrary to the existing capabilities in technology development, many of them have failed in the commercialization of technology. The purpose of this research was to design a model for the commercialization of research findings of agricultural research institutes in the form of a strategic model. The current research is a part of descriptive-survey research in terms of practical purpose and in terms of implementation method, and in terms of qualitative data collection. The statistical population of this research was the academic faculty members of the country's agricultural and commercial research institutes in the field of commercialization. Sampling was followed by the snowball method until theoretical saturation, which included a total of 16 experts. In this research, a semi-structured interview was used as a data collection tool and an approach based on database theory and ATLAS.ti 8 software was used. According to the research findings in the qualitative part, 212 codes were identified in the form of 24 categories, which were placed in the form of causal conditions, background conditions, intervening factors, strategies and consequences. The findings of the research showed that management, laws and regulations, foresight and infrastructure development are the most important factors in the commercialization of research projects.

he technology roadmap is one of the most effective approaches to align the organization's strategies with planning in the field of technology, from a strategic point of view and its integration with the new technologies of the fourth industrial revolution, the technology roadmap of the fourth industrial revolution leads organizations to new smart and digital technologies in order to achieve the organization's goals. And it leads to increase in productivity in production. This research aims to analyze the effective smart and digital factors of the fourth industrial revolution with a strategic management approach in developing a technology roadmap for power equipment manufacturing and energy supply industries.This research aims to analyze the effective factors of the fourth industrial revolution on the development of a technology roadmap for power plant equipment manufacturing and energy supply industries.In this regard, first by using the literature and interviews with a number of relevant experts in the power plant equipment manufacturing and energy supply industries, several factors were extracted, and then the factors were finalized using the fuzzy Delphi method and ranked using the TOPSIS technique. The results show that the criterion of intelligent design and production has the highest rank, and the component of defining and balancing the research and development portfolio has the first rank, the technology evaluation component has the second rank, and the market changes evaluation component has the third rank.

With the researches done on the megaprojects of the country, one of the main factors of failure can be sought in their project management. Modern aircraft design and construction projects are complex projects known as megaprojects. In this research, a model for managing complex megaprojects in this industry is presented.

This research is a type of combined research (qualitative-quantitative) and for this purpose, while interviewing aviation experts, the features of aerial megaprojects are identified and coded by MAXQDA2020 software and then the indicators identified in a questionnaire from experts related to the project. Using SMARTPLS3 software, classification and ranking of components and indicators were performed.

In this regard, the designed model has two dimensions as features and management of the megaproject and 10 main components and 40 indicators were classified and ranked. Finally, the most important main component was strategy management.

Originality/Value:

 In this study, considering the importance of aerial projects and the fact that the country has moved towards the design and construction of native birds and several projects in this field have been defined and completed, the characteristics of complex megaprojects in the aircraft design and construction industry are determined. And has designed for the first time an appropriate model for evaluating the management of complex megaprojects in the aircraft design and construction industry.

Nowadays, capabilities for continuous sustainable innovation creation and development in organizations is considered as a vital mean to achieve competitive advantage in complicated and changing business environments. In the automotive industry, due to the significant impact of its products on environmental challenges emergence and regulatory constraints increase, it requires new capabilities and competencies development for successful implementation of green innovations and achieving sustainability goals. Accordingly, this study’s purpose is providing a model for innovative capabilities development, focusing on how to strategically enhance green innovations in the automotive industry using qualitative and quantitative (mixed) methods. In the qualitative section, Data gathered by extensive literature review and doing interviews with 14 experts through Thematic Analysis method with Maxqda software, and the research model was presented in the form of 84 indicators, 16 components and 4 main dimensions. In the quantitative section, with the Fuzzy Best Worst Method and Lingo software, dimension ranking was done and results reveal that the dimensions of green research and development, environmental factors, green organizational contexts, and green operational practices, respectively, have the greatest significance for developing green innovation capabilities in the automotive industry. According to research findings and considering the technological gaps and constraints in the Iranian automotive industry, focusing on the successful incremental green innovation implementation taking into account environmental incentives and internal technological learning capacities, along with specialized networking to promote clean advanced technologies and developing effective regulatory mechanisms are recommended.

The petrochemical industry is in the continuation of the oil and gas industry chain. The innovation projects of a company must be consistent with its resources and goals, the purpose of this study was to present a model to improve the capacity of absorbing green technological innovations in the Iranian petrochemical industry. This research was applied in terms of integrated method (qualitative-quantitative) and in terms of purpose and was carried out in 2022. The statistical population of this research was the petrochemical industry companies, which were used to draw causal circles and model the experts in this field using the snowball method. To collect information in the qualitative part of interviews with experts(13 experts) and in the quantitative part, the data obtained from the first part were analyzed in the form of quantitative analysis. The data analysis stage is a multi-stage process during which the data obtained through the use of collection tools in the statistical sample (community) are summarized, coded and categorized and finally processed to establish the basis for various types of analysis. Data and relationships between these data are provided in order to test the hypotheses. In the qualitative part, the coding method was used, and in the quantitative part, Vensim software version 3.7 and and Super decision version 2 were used.was used. The findings showed that structural barriers, legal barriers, attitudinal barriers and infrastructural barriers of the company have an effect on the capacity to absorb technological innovations in the Iranian petrochemical industry.

With the emergence of Industry 4.0 at the beginning of the 21st century and the introduction of technologies related to it such as Internet of Things, virtual reality, augmented reality, big data, automatic robots, etc., many developments took place, the results of which also affected the field of education and gave birth to a concept called education 4.0. Students affected by this concept in the near future should acquire the capacity to learn and develop skills in the real and virtual world and technologies such as virtual reality, augmented reality and cyber-physical technologies and their integration with the classroom become doubly important in these conditions, so that today many schools in the world use this technology to achieve the goals of education 4.0. They consider them essential in their educational programs. Therefore, knowing, choosing appropriate technology and using it in schools can facilitate the path of education and training of students in the field of learning. Since many of the technologies of Industry 4.0 are emerging and are in the stage of increasing growth, it is important to pay attention to the technology transfer process and its first stage, i.e., the selection and acquisition phase. Therefore, the purpose of the current research is to investigate the background of the studies and introduce some of these technologies, explain some of their applications, and identify the factors affecting the selection of the appropriate technology for the acquisition of priority technology in the studied school.

The study adopted a mixed-methods approach (qualitative-quantitative) and at first by searching documents, books and articles, with mata-synthesis method, 13 factors affecting the choice of Industry 4.0 technologies to be used in the school were extracted. The participants of this research included the girls in an educational complex located in Tehran and the time of the research was the academic year of 1400-1401. Also, according to the upcoming requirements in the short-term period of 5 years, as well as by reviewing the articles and opinions of system experts, 5 technologies from the industry 4.0 (Internet of Things, digital twin, virtual reality, augmented reality and automatic robots) were selected and then, using the Fuzzy TOPSIS method, the expert opinion of seven experts, who were selected in a purposeful way for this research, was elicited regarding the priority of choosing selected technologies through the decision matrix questionnaire.

The results of Fuzzy TOPSIS calculations showed that augmented reality technology with a number of 6.836 had the smallest distance from the positive ideal, and by calculating the similarity index and with a final score of 0.522, it had a higher priority among the selected technologies. Moreover, virtual reality technology with a number of 7.654 was the second the option was far from the ideal, and ranked as the second one with a final score of 0.473. Also, Internet of Things technology was ranked as the third one with a final score of 0.459.

According to the findings and based on the thirteen main factors affecting the choice of technology, the use of augmented reality in the classroom environment and its integration with education in the studied school can lead to productivity in the use of this technology and the context it provided for the development of learning capacities in students according to the requirements of education 4.0.

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The current research was conducted with the Evaluation of innovation based on information technology in health startup ecosystems . The approach used in the research was qualitative and based on the foundation's data theory strategy. An in-depth interview tool has been used to collect data. Using purposive sampling after 11 in-depth interviews, theoretical saturation was achieved. In the foundation's data approach, in this research, during three stages of open, central and selective coding, 24 general categories have been expressed in a paradigmatic format, including causal, contextual, intervening conditions, central categories, strategies and consequences. The results showed that cultural development in information technology startups is caused by causal conditions (risk tolerance, analysis of the business situation, innovative capabilities of startups and technology absorption capacity), background (organizational structure of startups, market orientation and organizational readiness), intervening (legal infrastructures, management factors) , behavioral patterns, environmental factors and economic uncertainty), core categories (open innovation, technological capabilities and optimization of innovation processes), strategies (development of digital technologies, strategic planning for startups, value creation of startups and co-creation) and consequences (competitive advantage , strategic intelligence, business model improvement, digital transformation and organizational effectiveness) are realized. More about this source textSource text required for additional translation information Send feedback Side panels.