غلامرضا هاشم زاده خوراسگانی

The insurance industry as one of the sectors of the economy is affected by changes in business and trade conditions, and for its success, it needs to provide services and deal with business based on new economic requirements. Providing health for every people in any society is one of the fundamental human rights that should be given serious attention by governments and those in charge of affairs. This research has focused on the design of the network of knowledge management topics in Iran's health insurance industry.

This research is an applied study in terms of its purpose. Qualitative research method, meta-composite technique and Delphi panel were used to collect data, Shannon's entropy technique was used to evaluate criteria, and CASP was used as a tool for quality control of articles and synthesis of qualitative findings. In this research, 20 senior managers, experts and experts of key health system organizations in five major cities (Tehran, Isfahan, Shiraz, Mashhad and Ahvaz) were selected and examined.

Based on the theme analysis, 6 main themes have been identified. These 6 themes are maturity, knowledge-based decision-making, structural flexibility, knowledge-centeredness, community’s, and localization of cloud computing. One of the main results of this approach is to increase the speed of reaction in the face of rapid changes in the insurance market.

The use of cloud computing in Iran's health insurance knowledge management requires technological maturity. Knowledge management in Iran's health insurance industry is of great importance due to its dynamics and complexities. Using an organizational agility approach based on cloud computing can improve this industry and ensure that insurance organizations gain more productivity from superior technology and access to big data. One of the main results of this approach is to increase the speed of reaction in the face of rapid changes in the insurance market. As a core infrastructure, the cloud provides the possibility of providing improved insurance services and accelerating decision-making processes and responding to customer needs. This approach can help insurance organizations enjoy a better user experience and, as a result, guarantee customer satisfaction and increase interactions with them.

The aviation is one of the main producers of greenhouse gases. Nowadays, improving the environmental performance is one of the important challenges of aviation. There is consensus on improvements in technology, aviation operations and infrastructure in order to reduce carbon emissions in the aviation sector. The aim of current study is identify and rank of the dimensions and components of the green policy in the aviation.

The direction of the research is applied and according to the type of method, it is mixed (quantitative and qualitative) and exploratory. Sampling in the qualitative part has been done purposefully and the interviews continued upto theoretical saturation was reached. Finally, an in-depth semi-structured interview was conducted with 14 experts in the aviation and climate changs. The data was analyzed using thematic analysis. After gathering the dimensions and components and designing the theme network, the dimensions and components were ranked by used of DANP method.

The results show that the green policy in the aviation includes structural, content, contextual, environmental dimensions and 14 components. The most important dimention was related to structural dimention (0.2548 weights), followed by contextual dimensions (0.2517), environmental dimension (0.2509) and content dimension (0.2425)

To adopt a green policy in the aviation, focosed on the structural dimension is crutial and then other components of "green technology", "green infrastructure", "communication", "organizational structure", "planning" and "decision making" are very imortant in next stage.

No School Value As Much As Islam For Knowledge And Awareness, And Other Is No Religion Like Islam Has Not Forbidden Humans From The Danger Of Ignorance. Knowledge Management Is Not A New Concept And Is More Than The Result Of Old Civilizations Including The Islam Civilization And Iran. Many Philosophers Emphasize: Every Society Needs A Knowledge Collection That Appropriate To Historical and Cultural Memory, and In General, It Is Compatible With the Living Environment of the Community. In The Meantime, Islamic Countries Especially Iran Having A Special Philosophy Of Life And A Different Culture With Other Countries, They Need Their Own Theories. Despite The Many Studies That Have Been Done In Knowledge Management, Very Few Researches Have Focused On Knowledge Management With The Iranian Islamic Approach And There Was No Comprehensive And Credible Research In This Regard. This Led Researchers To Use The Qualitative Method And Grounded Theory Strategy To Study And Investigation In The Area Referred To. The Purpose Of This Research Is To: Comparing Different Knowledge Management Models And Reviewing The Knowledge Management Cycle In The Management Literature And Islamic Resources, Finally Is Designed The Islamic Iranian Knowledge Management Theory. There Is No Community In This Research And Interviewed With Seventeen Experts. Based On The Analysis Of Collected Data And After The Three Step Coding Process Of The Interview Text, 235 Final Codes, 80 Final Concepts And 28 Categories Obtained And Finally, The Iranian Islamic Knowledge Management Theory Was Designed.

The purpose of the research is to identify the consequences of the implementation of the law on the privatization of sports facilities and spaces. This research has been carried out in a quantitative and descriptive-survey method. The method of collecting information is through documentary studies and a researcher-made questionnaire. The statistical population was made up of all the managers and experts in the general administrations of sports and youth, coaches and athletes of the northern provinces of the country, which amounted to 635 people. The statistical sample was determined according to Cochran's formula of 200 people and was randomly selected and asked for opinions. Data analysis was done using SPSS and Lisrel􀀃software. The findings of the research showed that all the effective factors including improving the process of handing over sports facilities and spaces, intensifying the supervision of the privatization process, establishing a transparent and impartial information system, the correct transfer of ownership and management to the private sector, and empowering the private sector are among the effective factors in the implementation of privatization. The consequences of the influencing factors on the law of privatization of sports places and spaces lead to change and evolution in the implementation methods according to the characteristics of the less developed areas of the northern provinces of the country.

The present research conducted with the aim of studying indicators of organizational intelligence with the focus on sustainable development and developing the relevant model in Bank Mellat. This was interpretative-inductive research using a mixed exploratory method. In the qualitative part, the interview tool and thematic analysis method were used, and in the quantitative part, the questionnaire and confirmatory factor analysis method were used. The statistical population of the research in the qualitative part was university experts and in the field of smart banking, and in the quantitative part the employees of Mellat Bank. For data analysis, interview technique and thematic analysis method were used in the qualitative part, and statistical tests and measurement model were used in the quantitative part. The software used were SPSS-18 and Smart-Pls 2. The findings indicate that organizational intelligence includes four indicators of strategic reforms, scientific capability, intelligent service and digital transformations. Also, sustainable development includes three components of financial sustainability, social sustainability and environmental sustainability. The results of predictive correlation index and model fit showed that organizational intelligence has a positive and favorable effect on sustainable development. Bank Mellat has been able to take important and effective steps in the field of intelligentization based on sustainable development. This shows the high power of this organization in making smart and achieving the pillars of sustainable development.

The research and development department (R&D) is a necessary and vital organ for all organizations that intend to be active in domestic and foreign markets, and it is of undeniable importance for domestic and international competition as one of the most important factors for achieving the goals of organizations and industries in economic progress and access to commercial markets. Hence, in the present study, the intelligent R&D management model was evaluated with an agility approach, and to this end, the data was collected from 270 participants using a questionnaire, including managers, professors, senior experts, and experts of petrochemical companies. Then, the fitted data, obtained from the structural equation model, was analyzed with the help of partial least squares method using PLS statistical software. The results of the path coefficients showed that there is a significant relationship between the research variables and the evaluation indices of the model fit. Also, it was found that the relevant model has a good fit. Therefore, it can be stated that intelligent research and development management with an agility approach has improved processes, innovation, optimized communication, and also has financial and competitive consequences for the organization.

In today’s world, taking advantage of social capacities and national capabilities in manufacturing handicrafts requires the application of new state-of-the-arts production techniques. In this regard, social manufacturing is an emerging phenomenon that serves as a new production ecosystem equipped with modern technologies and social networks. Therefore, this qualitative study sought to identify the requirements and challenges of applying social manufacturing to the production of handicrafts using the Grounded theory (Glaser method). To collect the required data, semi-structured interviews were made with twelve experts in the field of handicrafts and information technology who were selected through the purposive sampling method. The collected data were then analyzed using the MaxQda 10 software. On the other hand, the validity, transferability, reliability, and verifiability of the study were also measured to strengthen the findings. Finally, the collected data were analyzed through actual and theoretical coding.According to the study’s results, altering the manufacturing structure, fostering relationships with consumers, developing research and education, developing the infrastructures, and establishing production networks were identified as the main requirements of applying social manufacturing to the production of handicrafts. Moreover, the conceptual map of the study was drawn, including nine categories and twenty-nine sub-categories. The current study can fill a number of gaps existing in the application of social manufacturing in Iran.

The commercialization of innovative products is one of the key factors for the success of knowledge-based companies. The purpose of this study is to identify and extract the variables related to commercialization, to develop a model by determining the relationships among these variables, and to test the model. The research is developmental in terms of its outcomes and employs a mixedmethod approach (qualitative-quantitative) in its execution. The statistical population in the qualitative section includes 17 experts, who were selected using a purposive and theoretical non-probability sampling method combined with the snowball technique. In the qualitative phase, content analysis and coding techniques were used to identify and extract the indicators, components, and variables of the model. The qualitative findings revealed that the commercialization model consists of the variables: "Discovery and Ideation," "Evaluation and Formation," "Production and Exploitation," "Market and Sales," and "Feedback and Retrieval." The quantitative findings, using the interpretive-structural modeling method, showed that the model comprises four levels, with "Discovery and Ideation" having the most significant impact on "Evaluation and Formation." "Evaluation and Formation" affects "Market and Sales" and "Production and Exploitation," and ultimately, these variables influence "Feedback and Retrieval." The findings from the structural equation modeling method demonstrated that there is a positive and significant effect among all the predicted relationships in the model, confirming the model's validity. To enhance the commercialization of innovative chemical products, discovery and ideation should align with sustainable development goals and the circular economy.

The transportation industry has the largest growth in the production of greenhouse gases, and reducing the share of pollutants produced by this industry is one of the most important challenges of climate change programs. As one of the most important and developing sectors in global transportation, air transportation plays an important role in economic growth, but this industry also has a great impact on climate change by producing greenhouse gases. Nowadays, much attention is paid to policies, and studies related to them have been done in order to reduce the effects of air transportation on weather. Improving the environmental performance of the aviation industry is one of the important issues of this industry. In Iran, attention to environmental issues in air transportation has recently been considered by researchers and managers. Due to the lack of research in this field, until now a specific model including the dimensions and components of the environmental policy has not been presented in the air transport industry. It is a partial view and the lack of a comprehensive model in which all environmental dimensions and components are taken into account, and the policy maker can respond to the growing demand for attention to the environment at the national and international level while developing. The present study has been conducted with the aim of presenting the structural equation model of green policy in air transportation.

Design/ methodology/ approach: 

This research is exploratory-applied in terms of purpose, and in terms of sequential exploratory design, in terms of type, it is mixed (qualitative, quantitative), and in terms of descriptive-survey method. This research is sequential in terms of time, and in terms of weight, it is more towards the first stage. The statistical population in the qualitative section includes 14 air transportation experts and climate change researchers. The statistical population in the quantitative part includes experts and managers of the civil aviation organization as the main policymakers of the air transport industry, with a number of 331 people and a sample size of 178 people. Sampling was done in the qualitative part by a targeted method and in the quantitative part by a simple random method. The data collection tool in the qualitative part is a semi-structured interview, which continued until theoretical saturation was reached and was analyzed using Brown and Clark's theme analysis, in the form of six stages of getting to know the data, forming primary codes, searching for selective codes, and forming themes. Secondary, naming the main themes, and reporting were done, and the initial model was prepared using the three-pronged model. The model was examined in the quantitative part using a questionnaire and the partial least squares method and SmartPLS software. In order to make a green policy in the aviation industry, it is better to pay attention to the structural, contextual, content, and environmental dimensions, respectively.

 The findings show that green policymaking in aviation has 4 main dimensions and 14 components. The structural dimension (0.889) is the most important; the contextual dimension (0.865), the content dimension (0.756), and the environmental dimension (0.466) are in the next position. The goodness of fit criterion of the research conceptual model (0.662) shows a strong fit of the model. In order to make a green policy in the aviation industry, it is better to pay attention to the structural, contextual, content, and environmental dimensions, respectively.

Limitations & Consequences:

 If research is done in airlines, other results may be obtained; airlines pay more attention to economic issues, and environmental issues are of secondary importance.

Practical Consequences:

 The current research can serve as a practical guide for policymakers to pay attention to various dimensions of environmental issues in the direction of sustainable development.
Innovation or value of the Article: For the first time, this research presents the green policy model in aviation in Iran and makes it available to this industry.

Organizational ambidexterity refers to the ability of organizations to perform conflicting and contradictory activities. This concept is important in innovative technology-based organizations, because these organizations need to combine creativity and innovation with efficiency and productivity. As a technology-based organization, ACECR needs a duality to commercialize its innovative products and services. The aim of the current research is to design an ambidexterity development model of technology-oriented organizations to commercialize innovative products.

The research strategy is based on foundational data theorizing, and the data analysis method of the current research is the Strauss and Corbin’s systematic method (systematic model), and the data collection was done with the interview tool. In the qualitative phase, 16 interviews were conducted with the experts of technological organizations of ACECR and four additional interviews were also conducted to achieve theoretical saturation. In the quantitative phase, the descriptive-survey research method was used, and in this phase, the data collection tool was a questionnaire.

Organizational ambidexterity management has been identified as a central category in this research, and its subcategory concepts include ambidexterity structure management, innovative culture management, and ambidexterity process management, which constitute the central category. The causal conditions in this research include ambidexterity management and leadership, ambidextrous human resources are multifaceted structures. On the other hand, the bases include organizational ambidextrous culture, upstream documents, and Jihadi culture. Also, the strategies resulting from the foundation's data theorizing model include designing two-way human resources processes, designing a technology commercialization model, designing an organizational two-way evaluation system, and designing a resource allocation system. On the other hand, institutional communication in the field of science and technology and the environment of organizational ambivalence as intervening and ultimately value-creating factors, completing the technology chain, organizational development, and management of organizational contradictions, the consequences of identifying and explaining the factors affecting organizational ambidexterity in the direction of commercialization which have been in technology-based organizations.

The management of organizational ambidexterity plays a significant role in the success of commercialization of technology-based organizations. Management of structure, culture, and dual processes are key factors affecting organizational duality. Also, conditions such as ambidextrous management and leadership, ambidextrous human resources and multifaceted structures affect this process. Consequently, it is suggested that organizations focus on strategies such as the design of dual commercialization processes and models to provide the necessary ground to achieve duality and successful commercialization. It is necessary to conduct more studies in this area.

Multifunctional platforms with a social manufacturingapproach are emerging phenomena with less known business models. Given the valuable human resources and cultural capacities of Iran, there is a suitable opportunity for utilizing the multi-functional platform business model with a social manufacturingapproach for producing cultural products. The aim of this research is to identify and rank the dimensions and factors of these platform business models. Through in-depth interviews with 14 experts in this field and thematic analysis using MAXQDA software, data analysis was conducted in three stages: open coding, axial coding, and selective coding. After screening the results, 50 factors were identified in 10 dimensions using the fuzzy Delphi method. The impact and influence of these factors were determined using the fuzzy DEMATEL method, and ultimately, the factors and dimensions were ranked. The identified factors and dimensions assist stakeholders in the cultural product production field to better configure their current or future platforms, as well as helping investors make more informed decisions regarding this business model.

There is limited knowledge about consumer behavior, particularly their choices regarding purchasing and using products and services offered by startups in developing countries. This article aims to create a strategic model of consumer behavior in selecting enjoyable products based on factors influencing services in startups within the country. The approach taken in the article is qualitative and practical. Data was gathered through semi-structured interviews, employing the database theory strategy, which includes open-centered and selective coding methods. The fundamental model of this theory was utilized to derive the model presented in the article. Snowball sampling, a targeted sampling method, was employed for participant selection to achieve theoretical saturation. The article's findings show a validated and well-fitted model comprising six primary categories or dimensions: pleasurable shopping motivations, store characteristics, individual characteristics, communication strategies, customer loyalty, and 23 sub-dimensions. The study reveals that pleasurable incentives contribute value to consumers, ultimately enhancing startup companies' marketing strategies for their products' growth and success.

The aim of this research was to develop a framework for identifying and explaining the factors influencing organizational ambidexterity in scientific and technological tourism organizations affiliated to ACECR.

The research approach was qualitative, and its strategy was based on Grounded Theory. Technology specialists of the country's ACECR comprised the statistical population including managers, faculty members and experts, all of whom had experience and expertise in the field of technological businesses in tourism domain. The data were collected through a semi-structured method applying ATLAS.ti software.

After analyzing the interview texts, we identified the dimensions of organizational ambivalence including the ability of the organization to explore and exploit the tourism areas and to utilize the relevant technology for innovation, as the pivotal factor, in the subsidiaries. Then, causal, mediating, and moderating variables were developed in the final framework. The findings show that multi-faceted management and leadership, diverse human resources, and structural variety are effective factors of the establishment of organizational ambidexterity. In addition, the establishment of organizational ambidexterity in scientific and technological tourism organizations of ACECR leads to such consequences as value creation, completion of the technology chain, organizational development, and reduction of organizational contradictions.

Originality:

 Identifying the key factors of success in this field can open the way for organizations which are active in the tourism industry. The research results can serve as a basis for formulating policies and macro plans in this area. The interdisciplinary nature of this study, which combines management knowledge and technology, can be considered as the contribution of this research.

Today, paying attention to sustainable development is one of the most important issues in organizations. The components of sustainable development of each organization are unique and require their identification. The present research was conducted in order to investigate sustainable development indicators and develop a sustainable development model in line with the general policies of the 6th development program related to organizational intelligence in Bank Mellat branches in Tehran province.

This was an interpretative-inductive study with a mixed exploratory method. In the qualitative part, the interview tool and thematic analysis method were used, and in the quantitative part, the questionnaire and confirmatory factor analysis method were used.The statistical population of the research in the qualitative part was university experts and in the field of smart banking, and in the quantitative part the employees of Mellat Bank. A semi-structured interview and a researcher-made questionnaire were used to collect data, which were extracted from the qualitative part of the research. For data analysis, interview technique and thematic analysis method were used in the qualitative part, and statistical tests and measurement model were used in the quantitative part.

The results showed that sustainable development includes 3 components: financial sustainability, social sustainability and environmental sustainability. In prioritizing the components, social sustainability was given first priority.

The results of the present study introduced the three main components for sustainable development in line with the general policies of the 6th Development Plan in Bank Mellat branches in Tehran province. These three main components are financial, social and environmental sustainability. Among these components, social sustainability was given first priority. Also, among the components of financial stability, improving the provision of financial services took the first place. In the ranking of the components of social sustainability, the reduction of cyber attacks stood first, and in the indicators of environmental sustainability, achieving a high standard was given the first priority. Also, the presented model for sustainable development showed the existence of a positive and significant relationship between the indicators.

The present research has done to  provide the  assessing model for the resilience of the supply chain in medical centers. The research is (quantitative-qualitative) in terms of purpose and mixed in terms of the nature of the data. The method of information collection is Library studies and field data collection method through semi-structured interview tool in the qualitative part and questionnaire in the quantitative part. The research community in the qualitative part of the experts includes senior managers and supply chain managers of medical centers, who were selected by non-probability purposeful sampling method and theoretical snowball technique in the number of 8 people based on theoretical saturation criteria. The findings of the qualitative section with the Foundation's data method, which included causal, contextual, and intervening factors and the central phenomenon, and the factors were identified. In the quantitative section, 23 experts were selected to design the model. In the inferential statistics section, the statistical population was 336 people from the supply chain managers and experts of public hospitals in Tehran province, based on Cochran's formula, 184 people were selected by stratified random method based on the number of hospital employees to evaluate the model. Based on the fuzzy Delphi results, 33 components were identified for supply chain resilience in medical centers. The findings of the comprehensive interpretive-structural modeling showed that the four dimensions of "supply chain support system", "risk management", "management of goods suppliers", "methods of supply chain management" in the independent category and four dimensions of "supply chain resilience strategies" ", "strategic supply chain strategies", "support-response strategies" and "supply chain resilience" are related. In the following, the designed model was explained and tested using the structural equation modeling method and Smart PLS software. The results of structural equation modeling showed that "Risk Management" is related to "Supply Chain Support System" and "Supplier Management"; "Supply Chain Support System" on "Supplier Management"; "Supplier Management" on "Supply Chain Management Methods"; And "supply chain management methods" have a positive and significant effect on "supply chain resilience strategies", "strategic supply chain strategies" and "response-support strategies". The results indicate that a higher level of risk management and supply chain support system can improve the resilience performance of the supply chain of medical centers and highlight the importance of strategies.

Organizational ambidexterity in the field of tourism is one of the new concepts; it refers to the potential ability of organizations in the field of tourism that are active in managing today's business and dealing with the changing demand of tomorrow. A multi-skilled organization in the field of tourism is an organization that needs to be organized in order to use successful exploration and exploitation methods. As it deals with research and development in this field, the aim of the current research is to design a model of organizational ambidexterity in scientific and technological organizations active in the field of tourism in the direction of commercialization. The research approach is qualitative and the research method is based on data-based theorizing or the systematic approach of Strauss and Corbin. Semi-structured interviews were used to collect information in the current research, and Strauss and Corbin method was used to analyze the data. And the paradigm model has been used. Sampling was done by theoretical sampling and using targeted (judgmental) and snowball (chain) techniques, based on which 16 interviews were conducted with managers, faculty members, and ACECR experts in both fields of research and exploitation has taken place in active organizations in the field of tourism that have experience and expertise in the mentioned organization. the results of the analysis of the data obtained from the interviews during the process of open, central and selective coding led to the creation of a data-based theory in the field of organizational ambivalence for scientific and technological organizations, based on which the architecture of organizational ambivalence processes based on the use of Committed intelligence, along with research engineering and technological exploitation, have been introduced as central elements in the design of the organizational ambivalence model in scientific and technological organizations active in the field of tourism in the direction of commercialization.

In recent years, studies on the paradigm of social Manufacturing and its applications have been developed as a new production paradigm and have led to the production of diverse and scattered knowledge in this field. Knowing the sub-fields, new topics and the research process of the social production paradigm can be of great help to researchers in this field. The current research has been carried out with the aim of identifying and categorizing research in the field of social Manufacturing, recognizing sub-fields and achieving a coherent view of its research process.This research has investigated the research field of social Manufacturing using bibliometric analysis. The data of this research was collected from 200 articles of the Scopus database and an analysis of the co-occurrence analysis of key words and bibliographic pairs was performed on them, and in this way the sub-fields and the research process of this field were identified.Based on the findings of this study, the research in the field of social Manufacturing has been categorized into 5 clusters and it has also been determined that in recent years, topics such as cloud computing, smart production, blockchain, Internet of Things, social physical cyber systems, innovation systems, society 5.0 and Digital twins have received more attention in research in this field. This research provides a framework of concepts and main topics of interest in the research field of social production, which provides a comprehensive perspective for researchers in this field that can help in choosing their research path.

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.

This study, which was conducted to present the organizational intelligence model in line with the general policies of the 6th Development Plan in Bank Mellat, from the perspective of the research philosophy, is interpretive and its approach is inductive, and from the perspective of the purpose, it is of the type of applied studies. which is done in a mixed method (qualitative and quantitative).

the descriptive-survey research method is practical in terms of purpose, and the statistical community in the qualitative department were university experts and smart banking experts in Bank Mellat, who were selected using the purposeful sampling method and the principle of saturation. 13 interviewees were selected. In the quantitative part, the opinions of 335 employees of Mellat Bank of Tehran province were used. Semi-structured interviews and researcher-made questionnaires were used to collect data. Its content validity was confirmed by university management professors and its reliability was confirmed by Cronbach's alpha test. For data analysis, interview technique and thematic analysis method were used in the qualitative part, and statistical tests and measurement model were used in the quantitative part. The software used in descriptive and inferential statistics were SPSS and SmartPLS

The findings showed that organizational intelligence includes four components of strategic reforms, scientific capability, intelligent service delivery and digital transformations. Also, in the prioritization of components, digital transformations were ranked first.

The results showed that Bank Mellat's success is directly related to smartness as well as digital developments.

Today, the country's aerospace industry needs cooperation due to product complexity and lack of resources. However, increasing the level of performance of the partnership requires different capabilities. Therefore, it can be said that how to develop the ability to design and develop a joint product to improve the performance of the partnership is an issue in the aerospace industry. This research is exploratory in terms of fundamental purpose and in terms of compositional method and nature in the first step and survey in the second step. In the first step, the required data were obtained through interviews with 15 experts in the aerospace industry and the Foundation's data theorizing method. In the second step, structural equation modeling was used to prove the model using 170 questionnaires. The final model includes causal category (battle scene changes, product complexity, lack of resources and common window of technical knowledge), environmental category (government support, competitive environment, business rules), intermediate category (management support, leadership style, mediation, project managers). And cultural factors), strategic category (structure and processes of cooperation, learning system, information technology, knowledge management, capacity building of partners, governance structure and dispute resolution, training and empowerment, rules and regulations of partnership, organizing meetings between partners and sharing resources) And the category of outcome (upgrade defense capability, continuous innovation, upgrade national knowledge and reduce access time and cost).

The development of virtual tourism indicates the digitization of all processes and value sets in the tourism industry. The present study aimed to identify and explain the influential factors in the development of virtual tourism using a mixed-method approach. It was a qualitative strategy based on the utilization of data-driven theory and the paradigmatic model. In the testing phase, a descriptive-survey method was employed, wherein the derived qualitative model was tested using quantitative methods. In other words, the subject was elucidated through field studies and interviews. The data collection tools consisted of interviews and questionnaires, which were validated by university and non-university experts with prior consulting experience in tourism organizations within Guilan province. The reliability for each variable was higher than 0.7 The research population for the qualitative phase of the study consists of several experts in the tourism industry in Iran. The sample size was 12 individuals, and the sampling was conducted using two non-probability methods, namely purposive (judgmental) and snowball sampling. The research population for the quantitative phase included the experts in the tourism industry in Guilan province who have experience in tourism, technology, and related fields. These experts are considered part of the unlimited population. According to Cochran's formula, the required sample size for an unlimited population is 384. In the qualitative phase, the identification of factors influencing the development of virtual tourism was conducted. In this regard, by employing data-driven theory, 13 categories and 36 concepts were derived. The hypotheses of the study were analyzed in the quantitative stage using structural equation modeling analysis and the Lisrel software version 8.80. The results of the quantitative stage of the data have confirmed that the balanced evaluation of virtual tourism had an effect on value creation and balanced development in Gilan province. The management of virtual tourism structure on the development of virtual tourism performance, the design of customer-oriented strategy of virtual tourism on value creation, the design of customer-oriented strategy of virtual tourism on the development of virtual tourism performance, and the design of customer-oriented strategy of virtual tourism have been effective on the balanced development of virtual tourism in Guilan province.

Health, Safety, and Environment (HSE) is one of the most important principles that should be considered in any activity, including industrial and service activities. Therefore, this study aimed to evaluate the role of HSE in the parameters affecting the technology foresight approach in an automotive industry.

This study was conducted based on the fuzzy analytic hierarchy process (FAHP) in an automotive industry from 2020 to 2021. The statistical population included experts, supervisors, and managers in Pars-Khodro Company (Tehran, Iran), and the study sample was 138 people. The process of conducting this study included identifying the parameters affecting the technology foresight approach in the automotive industry through a comprehensive library study and implementing FAHP through a field study.

The results showed that all parameters of soft and hard technology, as well as political, economic, social, and HSE factors, significantly affected the technology foresight approach in the automotive industry (P<0.001). The final normalized weights for these six parameters were 0.378, 0.163, 0.280, 0.051, 0.098, and 0.031, respectively. The incompatibility rate of the comparisons was 0.09.

The findings indicated that soft technology is the most important factor and HSE factors are the least important one in technology transfer and foresight approach.

The present study was designed and conducted to identify and determine the parameters of health, safety, and environment (HSE) affecting cloud computing in providing intelligent services in the rail transportation system.

This cross-sectional study was carried out based on the Delphi technique and expert opinions on the rail transportation system in 2020. This research was performed in five steps, including a comprehensive review of the related literature, identification, presentation of HSE parameters affecting cloud computing in providing intelligent services in the rail transportation system, and three Delphi rounds. Sixteen experts participated in the field of HSE and rail transportation. The coefficient of variation (CV) and desirability of each parameter were considered at < 20% and ≥ 4, respectively.

Based on this Delphi study, 15 parameters related to HSE and influential on cloud computing technology in the provision of intelligent services in the rail transportation system were introduced. Moreover, the CV index was estimated at 8.0%. The parameters of future research, the existence of a skilled workforce, and cloud service resource management tools had the highest degree of desirability (4.875).

The findings indicated that identifying functions and challenges of HSE regarding cloud computing technology in the rail transportation system could help decision-makers to improve effective services in the rail transportation system and reduce the associated risks.

The hand-woven carpet industry has faced many challenges due to internal and external factors. The use of scientific and pre-planned methods through which the impacts of these factors can be mitigated or eliminated can lead to the prosperity of this influential industry on culture, economy, and social life. Presenting a model for product development is one of these scientific methods. The product development model is used to ensure the realization of customers' demands and satisfaction regarding the product and procedures, increase quality and reduce the wastage from the phase of collecting customers' requirements to the production phase and delivery of the product to the end-user, and even supervision over after-sales services and collection of the feedback, patterns, standards, procedures, and methods. On the other hand, the process of development and production of the new products has undergone great changes due to the increase in global risks, the fast changes in customers' needs and wants, and the increased risk-taking, which has focused the attention on agility strategies in production procedures. The present study seeks to present an exclusive product development model for the Iranian hand-woven carpet industry adopting an agility approach. The study first conducts desk research to investigate goods and service development models and agile production models and proceeds to filter the indicators extracted from the studied models using expert opinions and fuzzy Delphi technique, the result of which is the compilation of 47 indicators selected by the experts out of the 147 total indicators. Afterward, measures were taken to achieve specific indicators since hand-woven carpet production is different from most other industries in nature. For this purpose, open-ended interviews and theoretical saturation (snowball technique) were used to collect new data through interviews with experts. The interviews continued to the point of theoretical saturation. In the next stage, the grounded method was used to extract codes from the open-ended interview transcripts, the result of which was the compilation of 31 new indicators. Eventually, the indicators obtained from the two methods were integrated and the exclusive model for this industry was developed using the Atlas. ti v.8 software. The final model is made up of eight main dimensions, seven sub-dimensions, and 47 sub-indicators.

The growing trend of technology in the contemporary world has led to dramatic changes in the life and the method of businesses and digital technologies. Developments resulting from the genesis of industry 4.0, has led to a rapid move towards modern intelligent and digital technologies. One of the modern tools for planning and managing technology in the organization is the technology roadmap, which helps various industries for foresight with environmental analysis and technology tracking, and provides appropriate technologies by monitoring the needs of customers. The technology roadmap equips organizations with intelligent and digital production systems. The purpose of this research is to identify and prioritize the factors affecting Industry 4.0 Technology Roadmap in power plant equipment and energy supply industries. In this research, by studying the literature and obtaining the opinion of experts and using phase Delphi tools, 14 components in the form of 6 dimensions were identified. The results have introduced46 variables affecting the industry 4.0 technology roadmap model, which has been prioritized by phase network analysis process. The results of FANP show that the highest weight is belonging to the variable of intelligent design and production, and also the component of technological drivers is in the first place, the component of soft and hard infrastructure is in the second place, and the component of economic, political and social drivers is in the third place