جهانیار بامداد صوفی

Data marketplaces are the digital platforms on which data providers and buyers exchange data and the marketplace supports the security of transactions and also ensures the execution of payments while the privacy preservation of the users is guaranteed. This study aimed to design a business model classification framework for health data marketplaces. To do so, a relevant business model ontology framework named STOF was selected as a conceptual framework to conduct a taxonomy introduced by Nickerson (2013). Finally, a business model classification framework including 22 dimensions and 84 specifications grouped under 4 construct blocks of S, T, O, and F was generated. The findings of this study can promote the knowledge on health data marketplaces business models on one hand, and on the other hand researchers and practitioners can conduct their researches or businesses using the suggested framework.

Crowdfunding is an effective way to achieve the non-profit goals of the charities which can be expanded using information and communication technology. In this regard, this study was conducted with the aim of providing an online donation intention model for collective financing of charitable institutions in Iran. The current research is an applied-developmental research in terms of its purpose, and it is considered a cross-sectional survey research from the data collection point of view. The statistical population in the qualitative section includes managers of charity institutions and university professors. Sampling was done using a purposeful method and theoretical saturation with 10 interviews. In the quantitative section, the views of 357 benefactors were used. The data collection tool is a semi-structured interview and a researcher-made questionnaire. To analyze the collected data, qualitative thematic analysis and partial least squares were used. The research findings showed that the technical infrastructure facilitating conditions, the quality and transparency of the website information, the security of the site and the application, and the preservation of privacy affect the perceived risk. Perceived risk affects the expectation of effort and the pleasure of helping others and leads to the expectation of performance and social influence. Finally, online donation intention is strengthened through trust.

Today, one of the most important challenges of non-governmental organizations is financing. Due to the lack of government funding, these organizations use public assistance to continue their activities and realize their charitable goals and visions. With the increasing use of online donation platforms in the world, non-governmental organizations in Iran have not yet been able to use this opportunity to solve their financial challenges. This is an important issue that needs to be investigated and researched. The purpose of this article is to provide a model to explain the factors affecting the willingness to donate online in line with the collective financing of non-governmental organizations, which has been carried out using a Meta-synthesis method. In this regard, using the experiences of financial managers and charity experts and previous research, the collected information was coded using the content analysis method. The components were categorized with 55 descriptive open codes, 36 basic themes and 12 organizing themes, then the reliability and validity of the model was checked and then it was presented in the form of the final model. The results showed that these components are directly and indirectly effective in online donation in line with collective financing of non-governmental organizations. These components clearly state that providing transparent and timely financial information and effective activities of non-governmental organizations, emotional and social support for people, ease of use, privacy protection, trust and the principle of the plan and project is the right way. which can make the financing of non-governmental organizations successful.

The aim of this research is to provide a model to identify the potential of business clusters and factors and indicators affecting their formation in the less developed regions of Iran. The type of applied research is mixed, mainly using the Delphi method and interpretation, inductive, and survey in terms of data collection. The sampling method was non-random, judgmental, purposeful and criterion-oriented qualitative stage and the snowball sampling technique was used. 18 people ended at the end of the fourth round and reached consensus and appropriate agreement. In the quantitative stage, random sampling and a number of 134 experts were used. Average tests of a population were used with Spss software, and structural equation models and confirmatory factor analysis were used with Smart Pls software. The findings show that ten factors and forty Seven key indicators include: location factor and geographic location, policy factor, economic factor, cultural and social factor, human capital and technology factor, education factor, opportunities and threats factor, product or service factor, expandability factor, foresight factor and factor The market and 47 indicators, as explained in the text of the article, are the main elements of the potential for the formation and formation of business clusters in the less developed provinces of Iran, the meaningful relationship between the extracted factors and indicators with the subject of the research was proven. Suggestions: Accelerate the implementation of orders The resistance economy is the establishment of the national observatory of clusters, supporting the development of clusters based on indigenous knowledge.

Today, in the competitive business scenario, numerous paradigms, initiatives, andoperational practices have emerged in response to competitive pressures of the automotiveindustry that demand improved product quality, inflated responsiveness, and shorter leadtimes, however at lower prices. For this purpose, this analysis has been conducted with theaim of investigating the impact of TQM to boost and upgrade the extent of product qualityand innovation performance in Saipa Automobile Company.

From the applied purpose and collecting descriptive data perspective and thekind of it is explanatory. The statistical population of the research consists of 140 high, middleand operational managers (supervisors) and experts who are knowledgeable about the subjectunder investigation of Saipa Automobile Company. The minimum sample required to use thestructural equation modeling method based on partial least squares (SEM-PLS), using the firstrule of Barclay et al. (1995), was estimated to be 70 samples. Therefore, in order to make amore accurate estimate, the questionnaire was distributed among 120 senior, middle andoperational managers and the number of 100 completed questionnaires, received, wasanalyzed.

To be successful in the field of quality, having the soft and hard aspects of TQM atthe same time is very crucial.

Soft TQM has a positive effect on hard TQM. It was also found that soft TQM failedto influence the innovation performance of Saipa Automobile Company. Finally, the resultsindicate that hard TQM has a positive effect on the innovation performance of SaipaAutomobile Company. In addition, the results of the ''T'' test indicate that using soft and hardTQM as well as innovative function of Saipa Automotive Company has considerably beenmore impressive.

Objectiv (s):

 Considering the high growth of the candy and chocolate industry and its role in public’s health, innovations need to focus on health, safety and food hygiene. Therefore, the current research was conducted with the aim of presenting a cognitive model of innovation components in confectionery and chocolate products.

A study was conducted by combining two approaches of soft systems methodology and fuzzy cognitive mapping in seven stages. These included providing an enriched image, analysis of CATWOE and root definitions, identifying the components affecting innovations and presenting a conceptual model using cognitive mapping. Finally we compared the conceptual model with the real world.

The findings of the study showed that sweet and chocolate companies have not been able to make a significant contribution to innovations of the products as well as the process in the entire value chain and creating added value of health, and they are suffering from severe deficiencies. The most important problems identified were: the lack of skill in discovering opportunities and creating new methods for exploitation in the center of the innovation process, the inability of the Food and Drug and Standard Organizations to motivate the production of beneficial and health-oriented products, and the control and supervision of healthy raw materials and its formulation to create a competitive advantage, the lack of high correlation between the companies performance in the market and development of products with greater interaction with customers in terms of design, customization, quality and food safety and hygiene. Therefore, the use of health-oriented and organic raw materials, paying attention to proper diet, production of extra-profitable products, use of health-oriented packaging, new technologies for the production of health-oriented products, nutrition and health experts in the development of new products, and government support for the producers of health-oriented products are the main components of innovation success in the food industry.

The study finding suggest that stakeholders in the value chain of sweets and chocolates companies should grow and develop their activities in health innovations ecosystems.

The rapid growth of biopharmaceutical fields and the expansion of interactions between firms, has led to the formation of innovation networks around big biopharmaceutical companies, which as a hub, have the task of leading and orchestrating other Network-based firms. On the other hand, biopharmaceutical firms need networking capabilities to be successful in networking. Accordingly, the purpose of this study is to investigate the effective dimensions in developing the firms' network capabilities, especially large companies (hubs), and their role in the consequences of networking in the Iranian biopharmaceutical industry. To answer research questions, while interviewing experts in three areas of government, industry, and academia in biopharmaceutical field, with the data approach of the Foundation, the dimensions of the issue were examined, and finally, in addition to the main factor or phenomenon, "network capabilities", antecedents and consequences of these capabilities is identified. According to the results; network capabilities have three dimensions: individual capabilities, general capabilities of network members and the capabilities of hub companies. Also, it can be acknowledged that the network capabilities of biopharmaceutical firms are influenced by causal factors or antecedents, and the network capabilities of these firms, sometimes lead to positive consequences for them and for the network when leading to the presentation of strategies and practical actions appropriate to the capabilities of the network.

Iran's energy industry has been investigated from different points of view such as innovation systems, technological catch-up and corporate strategies. The purpose of this research is to understand the role of leadership, regardless of the structural and functional elements of innovation systems, in technological developments in Iran's energy sector. In fact, this research has sought to clarify the role of the policy entrepreneur and his interaction with other key players in the process of policy changes in specific time periods that are referred to as windows of opportunity. Therefore, in addition to understanding the policy entrepreneurship process, the interaction between the policy entrepreneur and the innovation leader in recognizing the problems and providing solutions in order to create and exploit windows of opportunity has also been examined. In this regard, the case study method has been used to investigate one of the most important experiences of capability development in Iran's energy industry, i.e. the production of IGT25 turbine, and thematic analysis method has been used to analyze the data. The results of the research show that the evolution of technological capabilities, sanctions and entrepreneur's strategies such as persuasion of opponents, ideation and display of capabilities have created a window of opportunity to develop turbine production and design capabilities. In addition, the simultaneous occurrence of political entrepreneurship and innovation leadership, common backgrounds and their interaction is an important factor in the success of policy changes.

Venture capitalists have a role to play in providing their startups with more than just funding and creating value for their start-ups. The present research, using the case study method, investigates the cooperation pattern of venture capitalists and startups companies through the analysis of 6 risky investments made in the period (1393-1400) through 23 semi-structured interviews with venture capitalists and start-ups, examines the mechanisms of non-financial value creation using qualitative interview content analysis and centralized coding.The results of this study show that the creation of non-financial values of venture capitalists has two general external and internal orientations. The results also indicate that not all venture capitalists are necessarily able to create non-financial value in all areas, and it is necessary for such investors to consider the simultaneous and balanced development of non-financial value-creating capabilities in their long-term approaches and select start-ups.Start-up companies should also pay attention to the selection of venture capitalists and determine their expectations from this investment to prevent possible conflicts in interaction with this type of investors.

The present paper is conducted through exploratory and inductive approach in order to achieve a business model for data marketplaces. The research paper could be considered as a first attempt in the field of data marketplaces and their business models in Iran. The paper is based on two iterative taxonomy approach that is first introduced by Nickerson et al.(2013).Mixing of a systematic way on current literatures along with structured interviews by some experts who are involved in this area is applied to gain the main objectives. Our results provide the main bloc of the presented archetype with three sub blocs ،attributes and specifications that is titled value proposition. The sub blocs are named value creation، value capture and value delivery.

In interacting with Start-ups, venture capitalists play a role beyond providing financial resources for these companies and create value for them. The present research, using the case study method, investigates the factors affecting the cooperation pattern of venture capitalists and innovative companies, focusing on the mechanisms of creating non-financial values, through 23 semi-structured interviews with the deputies and consultants of two domestic venture capitalists and 6 start-ups affiliated with them in the time period (1393 to 1400) has been covered. In this research, the effective factors on the non-financial value creation mechanisms of two selected venture capitalists have been investigated using qualitative content analysis of interviews and axial coding. The results of this research show that in both venture capitalists, the five factors of clear expression of expectations, trust and respect, timely fulfillment of obligations, high flexibility and non-interference in executive affairs by venture capitalists have played an effective role in the value creation of these investors for start-ups and laid the groundwork. The success and effective interaction between these two collections has been in the period of cooperation. On the other hand, there is a fundamental difference between these two venture capitalists in the two factors of the effective presence of the board of directors representative and the culture of planning and control, which is due to the difference in their control and governance approaches in interacting with start-ups.

One of the most important fields of biotechnology is the pharmaceutical industry, which is of special importance due to its intertwining with public health. Biomedicines, in the production of which biotechnology has been used. They are known as targeted drugs to treat patients in difficult medical conditions. Networks, as a special type of communication, connect a set of people, objects or events and are a very good model for corporate communication.  Innovation networks include government, research and industrial institutions working together for a common innovation goal. Companies need networking capabilities to make the most of the networking platform and benefit from external resources, capabilities, and knowledge streams. The purpose of this study is to identify the types of network capabilities of large and small firms in the biopharmaceutical networks of the country

 The present study is an applied-descriptive research. The research method used in this research is a combination and research strategy of thematic analysis and confirmatory factor analysis. In this research, first, the literature and theoretical foundations and some existing documents in the field of biopharmaceutical companies were reviewed, and in the second step, in order to complete the data, in-depth qualitative interviews were conducted with 15 experts in government, academia and industry. Sampling in this section has been judgmental and purposeful. Regarding sample size, sampling continued until the theoretical saturation stage. Accordingly, after the fifteenth interview, no new data and information were identified by the researchers, and in fact, the coding process took place until the realization of theoretical adequacy. The interviews were conducted in a semi-structured manner and without directing the interviewee in person. Given that the statistical population of the research in the second phase, biopharmaceutical companies are active in innovation networks, the number of companies is equal to 70 companies and the sample size was determined based on Morgan table equal to 58 companies. 60 questionnaires were distributed among bio-pharmaceutical companies and finally 32 questionnaires that could be analyzed were received.

  In this research, observing the ethical principles of qualitative research, the text of the interviews was transcribed and by carefully studying these texts, open coding was done sentence by sentence. The concepts and codes extracted, considering the duplicate codes, are 37 items, which were reduced to 9 sub-themes in the first step and four sub-themes in the second step by categorizing similar and well-understood items, and finally, According to the research findings, network capabilities can be divided into two categories: general capabilities of active presence in the network and networking or network management capabilities. The results of confirmatory factor analysis show that "active presence in the network" is more related to the network capabilities of companies than "network management" in terms of factor load. Also, other findings obtained from factor analysis show that among all the dimensions related to the network capabilities of companies, extra-organizational capabilities have the highest priority. Findings also show that small firms have more general capabilities of active presence in the network and network management capability is related to larger firms, which are often known as hub.

In general, the role of large and central companies (hubs) is very important in networks, both during and after their formation. In fact, the networks studied in the country show that in the field of biopharmaceuticals, networks have been formed around these companies and have continued their activities and even expanded their activities, and considering the recent significant developments. In this area, the findings of this study can be a good model for other technological areas and provide useful lessons for companies. For future research, it is suggested that the role of corporate network capabilities, including general capabilities and managerial and orchestral capabilities in the development of corporate performance and outputs in innovation networks in other areas. To be examined technologically. Another suggestion of the research is to investigate the role of effective variables in the development of corporate network capabilities in networks and according to the theories of relationship between industry and academia, followed by the three-helix theory of the role of regulatory institutions. And the facilitator should be considered in the networks. It is also suggested that the challenges of corporate cooperation in innovation networks and how the role of network capabilities in solving them be examined.

Today, quality of services is one of the main factors for the survival and growth of any type of organization, including educational organizations. Service providers and service recipients both play key roles in determining the quality of services.

The purpose of this study was to compare the quality model of smart educational services from the viewpoint of recipients and service providers based on the HEdPERF model.

The present research is from the perspective of exploratory-applied orientation and from the perspective of descriptive-survey goal. The statistical population of smart schools in region 2 of Tehran, which has 4 smart schools, has a total of 240 students and 83 teachers and teaching staff. The number of samples obtained for service recipients (students) is 148 and 64 people as a statistical sample of service providers (teachers and teaching staff). A questionnaire was used to collect research data. To compare the quality of smart educational services between these two groups, t-test with two independent samples was used.

For all 6 components of quality of education services including educational aspect, educational performance, program, non-educational aspect, access and reputation between service recipients and service providers, there is a significant difference of 99% confidence level. In other words, in all six mentioned aspects, the service providers evaluated the current situation better than the service receivers.

From the perspective of service recipients, the average quality of services provided is lower than that of service providers. That is, there is a gap between the views of service providers and recipients Such a result was somewhat predictable, because most of the service providers evaluate the quality of their services more favorably than the service receivers, and the service receivers usually have more critical opinions about the various dimensions of the services provided.

The dominance of mobile operators in the value chain is at stake, and most mobile operators have not yet found an innovative way to respond to this challenge., the purpose of this study is to identify the steps of the robust business model of Iranian mobile phone companies in the face of broadband mobile technology. The present study is a qualitative-quantitative applied study that has used the futures research approach. In this study, 2 questionnaires were used. According to the research conducted in the field of important and effective trends in the mobile operator industry and the studies and experiences of the researcher, the most important trends were evaluated according to the two indicators of future uncertainty and impact and all the high-impact trends that were in the high probability matrix section are important for deciding the right business model. Based on the analysis of extracted business models suitable for mobile operators, 4 layers of activity areas (connection, content, context and trade) were identified and also from the combination of these four layers, 15 business models were created. MATLAB program was selected as the most consistent business model based on the criteria of total desirability, maximum optimal desirability, maximum minimum desirability, etc., No. 9 business model Was selected as the most robust model.

The Information Technology (IT) Infusion is known as the last stage of implementation and embedding of IT and is defined as: deep and comprehensive deployment of IT in the work systems of an individual and organization. Infusion is much beyond the initial acceptance and is placed after the post-implementation stage. The sixth stage, or in other words infusion, is one of the aspects that has been the least studied after the adoption and application of a technological innovation. The aim of this article is systematically reviewing the literature on IT Infusion between 1985 and 2022. This systematic review includes the scientific research works of countries, the distribution of articles based on the year of publication, journals, authors, the amount of citations to the journals and researchers and classified from the prospective of methodology. Findings show that IT infusion is still one of the dimensions that is less considered and researchers can use different theoretical and methodological approaches to study IT Infusion and cover the research gap.

Organizational Mutual Orientation The ability of an organization to create, disseminate and act on the basis of the knowledge produced and the exploration and benefit of activities in the field of coaching is required to produce mutual organizational learning. In the present study, researchers intend to propose a model of reciprocal coaching policy with a development approach, profitability for government organizations.

In this research, the qualitative research method is data foundation theory and in order to collect data based on purposeful sampling, in-depth and semi-structured interviews with academic and executive experts were conducted. Then, the data were analyzed based on open, pivotal and selective coding and efficient and effective use of quality analysis software (MAXQDA.PRO.2018.1).

The main categories of "Executive Objectives of Bilateral Coaching Program", "Strategic components related to coaching", "Facilitating and deterrent factors", "Internal influential areas of the organization" and also the central category of "coaching" are extracted. Which has led to the consequences of this exploratory model in the form of "reciprocal coaching".

The model in this study suggests that organizations can implement this model by considering their goals.

This paper uses the crowdfunding structure as an alternative digital economy solution or the Manifesto of Dynamic Technological and Financial Investment, which in fact includes both dimensions, for financing and provides a model for controlling perceived imaginary risks.The main factors in creating risks for crowdfunding, including risks of the sponsor, the applicant, infrastructure and information exchange, and the components of each were identified through qualitative studies. Since banks and their subsidiaries have the necessary potential to operate in this field and are involved in some way due to new approaches in business, banks should consider integrating the "crowdfunding" structure with their services. To use this approach in their business ecosystem, so the research was conducted in the context of one of the developed banks in Iran in terms of banking services. In order to test the findings of this descriptive study, data collection method was used through a questionnaire at two levels of experts (Delphi team) and general and raw data were analyzed using statistical techniques. In order to validate the model, the structural equation method has been used. Based on the results of statistical studies, all factors had the necessary validity and financial support and infrastructure had the greatest impact on the risks of the tested model, and therefore in the implementation of the model with more sensitivity can be monitored these two factors.

Innovation networks refer to a set of firms and other institutions that work together for a common goal، which is the development of knowledge and innovation. The importance of these networks in technological fields such as biomedicine is significant. The purpose of this study is to investigate the role of network heterogeneity on network capabilities and knowledge performance of firms in biopharmaceutical networks. For this purpose، while identifying the main dimensions and components through theoretical foundations and interviewing 15 experts in the field of biopharmaceuticals، to answer the research questions، a model was developed. In order to test the research hypotheses، questionnaires collected from a number of biopharmaceutical knowledge-based companies across the country were analyzed using structural equation modeling and Smart Pls software. According to the obtained results، the role of network heterogeneity on network capabilities and knowledge performance of firms in networks was confirmed. Findings also showed that network heterogeneity has a more effective role on the knowledge performance through the development of network capabilities and network capabilities have a mediating role in the relationship between network knowledge heterogeneity and firm knowledge performance in the network. Accordingly، it is suggested that companies to successfully participate in innovation networks to communicate with a wide range of network members of different natures and develop their network capabilities.

Accepetance of the fact that the working context of civil projects is challenging can enhance the resiliency capacity and will increase the project management concentration for improving and developing the software and hardware capabilities to facilitate project success achievement. This article is documented based on a research results in macro-hydropower plants projects management context to represent a new project management approach named as “Resilient Project Management”. Thematic analysis is the chosen research methodology in this study. Different qualitative and quantitative techniques are used in the study. Systematic literature reviewe, opened interviews and closed questionaries are the tools to gather datas inorder to demonostrate the framework. Results showed that there are six main demensions and related requirements to implements resilient project management approach in project management context. Management and leadership style, Organizational structure and human Resources, Working processes and resources, Performance index management and control, Maintenance management and readiness efforts and Chrises control and management are the dimensions of resilient project management approach.

Due to the increasing expansion of holding structures in Iranian organizations, it is necessary for these companies to be able to properly assess the human resource management system of their subsidiaries, given the importance of human capital in creating value for companies. Thus, the purpose of this study is to provide a model for strategic evaluation and management of human resource management system in holding companies.

The research method is applied in terms of purpose and is a sequential exploratory mixed study regarding data collection. In the first part, by reviewing the literature and research, the initial model was calculated based on the CIPP framing framework, and then the opinions of the focus group, including 12 experts in the field of human resources, were used to complete the model. The AHP method has also been used to weigh the components and dimensions; Acceptable validity and reliability were achieved in qualitative and quantitative sections.

The field section of the model includes internal and external environment factors. Inputs of the model consists of orientation of strategies, role human resources manager, and human resources organization components. The processes section includes components of human resource risk management, knowledge and innovation management, management of organizational culture and values, development of capabilities and talents, planning and recruitment, training and learning, maintenance and compensation of services, performance management and promotion, safety and health, human resource information system, interaction and communication with stakeholders. Also, the output section contains procedural factors, resulting factors, and organizational effect factors.

Holding organizations can use this model to strategically evaluate the human resource management system of their subsidiaries. In this regard, it is essential, firstly, to adapt and possibly localize the dimensions of this model in their industry in addition to form a steering committee, and to strategize the strategic measures for the development of this model in their collection.

Innovation in technological networks is influenced by actors of different natures, and the heterogeneity of network members can affect the achievements of the network. Also, based on the ambidexterity approach, organizations must consider two categories of exploration and exploitation activities to succeed and develop performance. Accordingly, the purpose of this study is to investigate the role of heterogeneity in the development of the performance of innovation networks in the biotechnology industry with an organizational ambidexterity approach. In this research, first, by examining the theoretical foundations and through interviews with a number of experts in the field of biopharmaceutical networks, the dimensions of heterogeneity of innovation networks were identified. A quantitative approach was taken in the distribution of questionnaires among senior managers of biopharmaceutical companies active in innovation networks and the findings were analyzed by structural equation modeling using Smart-Pls software. The results show that heterogeneity has a positive and significant effect on firm performance in innovation networks. The findings also show that the effect of network heterogeneity on the future performance of companies is greater than the current performance.

survival, growth and strengthening of strategic position is one of the most important challenges in the banking industry. Risk management is one of the most important ways for banks to do this. Operational risk, which is in the category of the most important banking risks, so that banks' tendency to deal with operational risk has shifted to the extent that they identify and assess operational risk in terms of risk management requirements.The aim of this study is defined to evaluate and prioritize the factors influencing the occurrence of operational risk. In order to achieve the research objectives, First, based on a systematic review of the literature, the four-dimensional model of the Swiss Wing Committee was selected as the initial conceptual framework of the research, then by applying confirmatory factor analysis on The answers provided by 54 managers and senior experts of Gonbad Kavous Saderat Bank branches to the researcher-made questionnaire were categorized and the model indicators were approved. In the next phase of the research, was decided to use the best-worst hierarchical method based on the opinions of ten experts and staff managers of Bank Saderat, dimensions, components and indicators. The research findings indicate that attention to the human resource factor is important as the most important criterion in the occurrence of operational risk, followed by organizational processes and procedures, technology and systems and external factors that are involved in the occurrence of this risk, respectively. They are important. Banks' attention to prioritized factors can help control operational risk.

Main question: taking into account the dependency of I.R.Iran to export of crowd oil and other petrochemical products, Iranian economics is highly sensitive toward foreign exchange market and it's turbulances.
The aim of this research is to identify elements that affect foreign exchange market and it's turbulence, and so, helps the policymakers in their decision making at national level.
Research

after a thorough literature review and conducting interviews with experts, we used thematic analysis to identify main effective elements in turbulence of foreign exchange market. Then we proceeded to use cross impacts between identified elements, by help of MICMAC software solution.