فهرست مطالب فاطمه ثقفی

Current researches on supply chain management (SCM) in manufacturing industries are not directly applicable to construction industry. The application of SCM in the construction industry is associated with serious difficulties such as transient nature and uniqueness of construction projects, coordination problems, unrepeatable interactions and contextual differences in the manufacturing and construction industry. One of the models with the capability of complexity management is viable system model (VSM) which is rooted in organizational cybernetics. The model states that in order to achieve viability, each organization must perform certain activities and certain relationships must be established between these activities. VSM, employed to diagnose a supply chain of an Iranian Petrochemical Construction project based on the proposed methodology that includes three steps, case study selection, system identification and system diagnosis. This led to a model development as well as identification of the weaknesses of the construction supply chain (CSC). The validity of the research methodology and findings has been confirmed through multiple qualitative criteria. The research innovation is application of VSM to diagnose a CSC in combination with case study method in order to design a model and accordingly identification of the weaknesses and bottlenecks over the whole model via a systemic approach.

The electronicization of government has happened in the last fifteen years, and governments have moved from e-government to mobile governments with the advancement of technology. The new generation of governments is the Government as a Platform (GaaP). Since the prediction of emerging technologies is part of futures studies, The Government as a Platform preparedness and implementation model is considered the most infrastructure concept of this technology in this article.

This is a qualitative study which is conducted using the meta-analysis approach to analyze data extracted from different selected sources. In this study, more than 30 sources are selected and used for qualitative analysis and coding.

By categorizing the obtained codes, 65 indexes are formed and classified into seven layers. In this regard, the essential requirements in realizing GaaP are: 1- good governance, 2- government’s paradigm shift from service provider to ecosystem leader, 3- cultivating entrepreneurial and startup communities, 4- digital trust, 5- providing the foundation for growth and development, 6- digital transformation and 7- creating a mindset of change and open innovation in society.

The results of this study indicate that there is no a specific version for realizing GaaP in the world. However, considering the specific components, such as digital culture, budget and credits, digital privacy, and digital talent, of a country, the government formulates a customized model for realizing its own version of GaaP. The curent model can be used as a guide for policy to entering the future Government as a Platform.

With the acceleration of the use of smart networks in different parts of the world and its ever-increasing progress, paying attention and synchronizing with this technology and adapting to electronic changes from the perspective of upstream documents and the country's vision document, national development seems possible. Innovation in the electricity industry and related infrastructure strongly creates added value and competitive advantage for organizations and institutions related to this industry.Therefore, the purpose of this research is to analyze and evaluate the parameters of the process of innovation and idea generation. The present study is based on the practical purpose and in terms of the method, it is an analytical survey. The present study is based on practical purpose and analytical survey method First, by conducting a library study and using scientific databases, the background of the research was investigated and through the meta-combination method, the parameters of the process of attracting ideas and innovation were identified in organizations and research centers with which experts have scientific and knowledge interaction. After determining the parameters of the process and their effectiveness, the theoretical model of the research is formed. Then, through a questionnaire, the opinions of 50 people from the statistical samples who were academic experts and experts in related industries Using path analysis technique and structural equation method, the causal relationships and the degree of correlation between the variables of the theoretical research model were investigated. The samples were identified using the selective sampling method. In this research, using different methods and tools such as partial least squares technique and Smart PLS software The quality of structural equations and fit the designed model It was evaluated and optimized and finally approved. Based on the meta-synthesis technique of past articles and studies, the parameters of knowledge management, open innovation, knowledge management capacity, innovation capacity, framing system constitute the process of attracting ideas and innovation in organizations and research centers. All the confirmed indicators in the model show that the obtained model has a very good fit.

The most important result of the analysis of the effectiveness of the organizational excellence model is the regular review of the company's performance and its improvement. The purpose of this study is to investigate the impact of EFQM implementation on the overall performance of Iran Office Machinery Company and in particular and in more detail on improving employee performance, process, and improving relationships with suppliers and customers. The present study is a descriptive, field and cross-sectional study. The statistical population of this research includes employees, customers and suppliers of Iran Office Machinery Company. 383 people were selected as a statistical sample by stratified and random sampling. Questionnaire questions were measured according to Iran Office Machinery Industries Company, its adaptation and validity using the opinions of experts and its reliability was confirmed by calculating Cronbach's alpha. Data were described and analyzed using descriptive statistics, t-test. Based on the research results, all hypotheses were proved. In the sense that the implementation of this model of organizational excellence EFQM in Iran Office Machinery Industries Company has been effective. Therefore, it was suggested to the company's management to strengthen its resources and supply platform for continuous improvement.

The ICT industry is one of the most complex industries with superior technologies. Sustainable growth of companies in this industry is ensured by successful commercialization, which due to the complexity of the field, knowledge sharing between companies is essential. A careful review of the literature showed that there is no model for how to succeed in commercialization and its relationship with interorganizational participation in the ICT sector. Therefore, this issue was determined as the goal of the research. By reviewing the research background; Factors affecting the success of participation-based commercialization including internal and external drivers, participation, esources, dynamic capabilities, executive mechanisms and extraction performance were drawn in the form of a conceptual model. Then, by studying multy-case study, technological projects of ICT Research Institute, including (Antivirus Padvish, Native search engine project, SOC native operations center, communication equipment POTN) and content analysis, main and secondary themes of the model were extracted. Then, using a focus group consisting of experts, the results were validated and themes (propositions) were confirmed. The relationship between the components was also confirmed in the panel of experts. The final model is a combination of these factors that, according to the indigenous experiences of Iran, has led to the success of commercialization and can be the basis for policy-making for successful knowledge-based products.

Analyzing and predicting efficiency in industries is very important in order to evaluate the performance of units and plan to improve their performance. Poultry industry, as one of the strategic and complex industries, has taken an important part of the food chain basket of the societies, and from this point of view, the analysis of its supply network is very important.In this research, using the network data coverage analysis model and data mining, research gaps in the field of measuring and predicting the efficiency of the green supply chain in the poultry industry have been covered. This research is descriptive and survey in terms of its practical purpose and in terms of the nature of implementation, which is done by developing mathematical models in the field of data coverage analysis.First, using the Delphi approach, the effective indicators were identified and screened based on the opinion of experts, and then a new mathematical model was presented based on the coverage analysis of network data. In the following, the efficiency of 9 chains was evaluated in five years using the alpha cut method based on the enveloping analysis method of fuzzy data. The results showed that the presented model is able to evaluate the efficiency of the green and multi-level supply chain of the poultry industry in consecutive years.

The application of supply chain management within the construction industry presents significant challenges due to the transient nature of construction projects, high levels of customization, low repeatability of activities, absence of a production line, and interdependent relationships among activities. Construction supply chains are intricate systems, where the final performance results from numerous decisions made across multiple independent companies. Interactions among supply chain stakeholders and the unique characteristics of each project create complex phenomena with multiple interconnected elements and variables. The Viable System Model (VSM), rooted in organizational cybernetics, provides a structured approach to addressing complex and unstructured problems. This structured approach allows analysts to gain in-depth insights into the functional issues of the existing system and understand how to modify the system design to adapt to internal and external disruptions.MethodologyDespite the extensive capabilities of the Viable System Model as a diagnostic tool for assessing organizational structure and achieving viability, a systematic and distinct methodology for its application is lacking. Researchers in VSM often do not employ a specific methodology for systems analysis. In this study, we propose a methodology for applying the VSM as a diagnostic tool for organizations, derived from a review of theoretical foundations and practical requirements of VSM. Building on Jackson's methodology outlined in his book "System Thinking, Creative Holism for Managers," we have developed a methodology by integrating Jackson's approach with case study research. This methodology includes stages such as designing a diagnostic framework, selecting case studies, identifying systems, conducting system diagnosis, and validating the model. We applied this methodology to diagnose the supply chain of an Iranian petrochemical construction project, resulting in the development of a viable system model. The validity of the research methodology and findings was confirmed through expert participation and the application of multiple qualitative criteria.ResultsFollowing the selection of a case study and the identification of systems, we investigated the existence and function of five subsystems and communication channels within the focal system using a case study approach to gather information and develop the viable system model. Data was collected through semi-structured interviews conducted at various managerial and technical levels within a prominent project-oriented company in Iran's petrochemical industry. These interviews lasted between 45 and 60 minutes each. Data collection methods also included observation and document examination. The research involved a semi-structured interview with 18 individuals to explore complications within each of the five systems. Subsequently, the collected data was adapted to the model's requirements, and findings were extracted through intra-case analysis and coding. This process led to model development and the identification of weaknesses within the construction supply chain from the perspective of the five systems and communication channels, with a focus on achieving viability.ConclusionsThe developed model highlights weaknesses and bottlenecks within the focal system, shedding light on the most significant issues. A critical issue identified in the case study is the evident lack of coherence within System 4 and System 5. The results reveal that the incoherence of System 5, divided between parts of the company at level 0 and the parent company at a higher recursion level outside the focal system, results in defects within the communication channels related to this system, including C14 (Connection of System 4 with System 5), C9 (Algedonic channel), and C16 (Connection of System 5 with the homeostatic loop of Systems 3 and 4). Additionally, System 4, which is jointly managed by a segment of the company and the project management consultant, leads to disruptions in channels related to this system, particularly C13 (Homeostatic loop between Systems 3 and 4), C14 (Communication between System 4 and System 5), and C15 (Homeostat of System 4 with the future environment). Concerning common errors, the dominant error is E5, attributed to the lack of coherence between Systems 4 and 5 and the weak performance of System 2. This error largely stems from inconsistencies between the two operational units responsible for the engineering phase and the construction and installation phase. To achieve viability within the focal system, several measures should be taken, including the establishment of centralized Systems 4 and 5 within the company and strengthening communication channels with incomplete or insufficient capacity. These channels include the connection between System 4 and System 5 (C14), the Algedonic channel (C9), the connection of System 5 with the homeostatic loop of Systems 3 and 4 (C16), the homeostatic loop of System 3 and System 4 (C13), and the homeostat of System 4 with the future environment (C15). A crucial homeostatic link involves the communication and interaction between System 3 and System 4 (C13) to establish dynamic communication between the current project environment and its future. However, the interaction between these two systems is currently conflicting and misaligned due to the lack of coherence within System 4 and differences in functionality between System 3's perspective on the current state and System 4's perspective on the future state. Balancing the emphasis on System 4 and the future with the daily operations of the supply chain's operational units within System 1 is essential to avoid supply chain disruptions or inefficiencies. The lack of coherence within System 4 also affects the performance of other systems, particularly System 5, as well as the stability of System 4 in relation to the future environment. Inadequate information about the future environment can hinder informed decision-making within the system. By addressing these points within the model, the construction project's supply chain can move toward viability and better adapt to changes in the project environment. This research represents one of the limited studies in the implementation of VSM within the construction project environment.

The emergence of technological innovations and digital medicine is making fundamental changes in the healthcare sector towards personalized medicine. Therefore, in the near future, we will have to pass from population-based medicine to personalized medicine. The purpose of this study is to identify the appropriate framework for the transition to personalized medicine.

The study method was a systematic literature review with a content meta-analysis approach. The statistical population of the research was personalized medicine articles that have been conducted during the last 12 years (2010-2022). After several screening stages of the papers, finally 7 articles have entered the meta-analysis process as samples (articles related to policy making or transition to PM).

Findings show the most of the studies in the field of PM were specialized and clinical, and only a few studies have briefly addressed the management and policy issues of PM, and the transition and transition pathways regarding PM have not been studied much.

Adapting from the proposed PM model and technological transition pathways, the framework for the transition to personalized medicine includes the transformation pathway from conventional medicine to stratified medicine and then technological substitution pathway from stratified medicine to personalized medicine. In order to appropriate policy making in this framework, we need appropriate policy tools of science, technology and innovation.

The emergence of a wide range of digital technologies has fundamentally changed the nature, process and outcomes of innovation. Researchers emphasize the distinction between digital innovation and traditional innovation and consider it necessary to theorize in this field due to the novelty of the concept of digital innovation. In this research, in an inductive way with the aim of conceptualizing and identifying the main dimensions of digital innovation in industrial organizations, first, using the systematic literature review approach, related articles were examined in the period from 2014 to 2022, and 48 articles were selected for analysis. Then, using the grounded theory approach, open, axial, and selective coding procedures were performed. According to this, the main dimensions of digital innovation were categorized in the form of a paradigm model include causal factors (13 categories under the 4 main dimensions of digital industrial platform and technology management, digital innovation ecosystem management, intelligent processes, digital structure and organization), contextual factors, intervening factors, strategies, and consequences. Also, by reviewing the definitions and identified dimensions, a novel definition for digital innovation in industrial organizations was presented. The resulting theoretical framework, in addition helping further conceptualization of this phenomenon, can be used in the design of organizations' digital innovation maturity models.

The main purpose of this study is to Measuring the efficiency of technological units in strategic industrial by regional development aspect. To achieve this goal, first define the criteria for regional development and after weighing these criteria, define the indicators for measuring the efficiency in terms of regional development and finally extract the units efficiency.Research

This research, from the perspective of research orientation, is applied and based on quantitative and qualitative methods. The research strategy is descriptive-survey, from the perspective of the purpose, descriptive, from the perspective of time horizon, cross-sectional and from the perspective of the method of data collection from interviews and documentary studies. The fuzzy Delphi method has been used to determine the criteria for regional development, the fuzzy hierarchical analysis method has been used to weight the criteria, and the fuzzy TOPSIS method has been used to rank the performance indicators. Finally, the efficiency of the units was obtained by Data Envelopment Analysis method.

In this study, 8 regional development criteria appropriate to the research topic were introduced. Then, the weight of these criteria was determined and 22 input indices and 22 output indices of technology units were ranked with these criteria. Finally, 18 units ranked in terms of efficiency.

Saffron and dairy production industrial companies had the highest efficiency rank in terms of regional development.

In the current competitive conditions, the proper performance of the supply chain plays a key role in the success of an organization and the achievement of its goals, especially its profitability, therefore, in recent years, the management and measurement of supply chain performance has attracted the attention of a large number of managers and researchers in this study. In line with supply chain performance evaluation, various performance evaluation methods have been introduced and the characteristics of the most famous methods and studies conducted in this field have been collected. In this article, a framework for choosing the best method of evaluation of supply chain performance, improvement and continuous evaluation is proposed, which can facilitate the evaluation process in a targeted manner. It is suggested that in the next works, a review study on each of the used supply chain performance evaluation methods is done separately and also a conceptual framework of the application of these methods for different environments is prepared.

TheTransition theory is mainly used to move from a dominant technology to a new and innovative technology. The Studies of the typology of transition pathways have shown that the transition to new technologies includes four main pathways. But in some studies, it has been emphasized to review this matter and the possibility of other pathways. Therefore, the aim of the study is to describe the typology of transition pathways by review the literature and identify possible pathways. The study method was a systematic literature review with content meta-analysis approach. The statistical population is papers on the typology of transition pathways that were published during 2010-2022. The transition pathways among the selected papers were compared in terms of 24 characteristics, which were also adapted from the systematic literature review. Finally, in terms of these characteristics and especially the three main characteristics (perspective pressure, maturity and regime resistance), 12 new transition pathways were identified. The identified pathways include 5 main pathways (reproduction, transformation, technological substitusion, reconfiguration and de-alignment and re-alignment), each of which was categorized into two gradual and pure pathways, as well as two hybrid pathways, “de-alignment and re-alignment and technological substitusion”, which It happens sequentially or simultaneously, and the pathway of “gradual reconfiguration and transformation simultaneously”.

Undoubtedly, one of the main drivers of economic development in any country is the spread of technological innovations. Since Shumpeter, in his famous book in 1912, Emphasizes the role of innovation as a factor in the economic growth of nations, Many thinkers in this field trying to explain the concept of innovation and the causes of its formation and its implications in various economic, social and managerial contexts. This research is based on a comprehensive understanding of technology and knowledge management system, Trying to extract key factors in the success of a knowledge management system In order to improve the performance of the technology and Consequently, it has created an idea of absorption in intelligent electrical energy networks. The purpose of this paper is to design an innovation and absorption system in an intelligent electric energy network based on a framing approach and structural equation analysis. to this purpose First, theoretical model with respect to the research background and also the concept of mental accounting and the framing effect developed. and then, based on the views of a sample of the statistical community of academic experts and scholars, The model was designed and optimized in the form of structural equations.

Given the importance of service delivery speed and material handling in the perishable food supply chain, the use of the IOT transformation technology can provide a competitive advantage for manufacturing firms. Recently, some food companies have started using IOT technology in their supply chains. Background review showed that three categories of technological, organizational and environmental factors can affect supply chain performance. Therefore, the purpose of this study is to investigate these three factors on the process of the perishable food supply chain based on IOT. First, by reviewing supply chain processes, a 5-step process was selected as the comprehensive process. Then the dimensions of these factors became from the literature and the conceptual model of the research was drawn by combining the effect of these factors on the supply chain process. The information was obtained through the distribution of a 24-item questionnaire among 203 managers of food production units as a research community and was analyzed by correlation analysis and structural equation modeling. The analysis unit of the Department of Spicy Food is that it uses levels of IOT. The results showed that environmental factors as a whole and technological factors affect the sustainable food supply chain from 4 dimensions. But organizational factors were not confirmed in 3 hypotheses. This will be a warning for managers who are interested in their companies being successful.

In order to manage and coordinate inter-organizational networks, an orchestrator role is essential. Hub firm typically performs this role in a network and therefore needs orchestration capability. Most conceptualizations of orchestration capabilities in literature are focused on network management, and this meta-capability is often viewed statically. In this study, focusing on the identification and comprehensive collection of orchestration capabilities, the orchestration skills and processes have been categorized.

Systematic literature review is conducted through structured screening, coding, and categorization of concepts based on Prisma. It is classified as an applied research with a qualitative approach using Thematic analysis over the selected articles in innovation management orchestration and checking with Sandelowski and Barroso method.

The orchestration of innovation networks requires 84 capabilities, which have been identified and collected, and a coherent framework and classification was derived by comparing and analyzing different concepts and drawing clear lines in three dimensions namely design, manage and control of the network and seven categories. We also introduced the third dimension of orchestration capability of innovation networks including the analysis of changes and reconfiguration.

Considering the dynamic nature of internal, external and technological factors, The network orchestrator should also review his activities and roles in accordance with this dynamic and update his behavior in order to increase the efficiency of the network. In this way, benefiting from the capabilities of the network control category is mandatory for orchestration.

A Recommendation system is a BI tool that it uses data mining methods for guiding and helping the user to select the best items based on her/his preferences and in the shortest time. Despite more than two decades of academic research on recommendation systems, this issue is still one of the most up-to-date research challenges. Recommendation systems save the users time, increase their satisfaction and their loyalty to sales sites and lead to the development of e-commerce, by personalizing the recommendations of goods or services to site users. Nowadays, recommendation systems have many applications in various sectors of e-commerce, especially in media products such as books, movies, and music. The famous e-commerce sites such as eBay, Amazon, and Netflix and domestic sites such as Digikala, Divar, and Filimo widely use recommendation systems. These systems use a variety of big data filtering methods to provide appropriate recommendations. The most important and widely used filtering method is collaborative filtering (CF). In this paper, we implement three CF recommender systems based on the correlation coefficient between users, selecting the optimal number of neighbors and calculating weighted scores for unwatched movies. The best method with the least error is selected as the desired model. We use Movielens ml-latest-small 100k research dataset with 9742 movies and 610 users as input. The results showed 3.29% less RMSE error compared with the latest research that has used the correlation method.

The development of nuclear technologies in the fields of energy, medicine, agriculture and industry in recent years has led to the pursuit of nuclear innovation by many countries. This is faced with obstacles such as the need for cost, time, and special infrastructure. The present study aims to provide an overview of the challenges and policies for the development of innovation in the nuclear industry of south korea and develope by other leading countries. A systematic review of scientific publications about "innovation in the nuclear industry" was used as the research method. For this purpose, after a search in Scopus 217 data sources were found, which after screening 16 articles remained. Examining the barriers and policy acts related to the development of nuclear innovation and technological catch-up in this industry shows that to overcome the two obstacles, "weak internal coordination of nuclear sectors" and "weak commercialization of nuclear products", the industry needs changes in the nuclear governance, diplomacy and innovation systems. Thus, the policies presented under these factors can lead to technological catch-up in the Iranian nuclear industry. The results showed that although foreign sanctions have created barriers to technology transfer, self-sanctions and the use of closed governance in this industry are the main barriers to transfer. On the other hand, similar to many other Iranian industries, the lack of attention to international marketing ( through holding exhibitions with the aim of attracting customers, especially from neighboring countries) has made it the main way of providing financial resources from public budget of the country. Meanwhile, industrial nuclear technologies are attractive and have a growing market in the world. In addition, lack of institutional coherence and lack of integrated policy and planning is another important factor.In this research, there were two limitations : 1) the lack of access to Iran's nuclear data and 2) the small number of complete and successful global experiments. The authors recommend some studies for future researches : 1 ) Analysis of the requirements and aspects of technological cooperation projects in the International Atomic Energy Agency for Iran " , 2 ) " Evaluation of the capabilities of the industry in the development of the export of radiopharmaceuticals and non-power products to the countries of the West Asian region " and 3 ) " Analysis of the core industry innovation system focusing on the functions of research guidance, knowledge transfer and market development " .

Technological catch-up is a very complex and time-consuming process that requires all kinds of capabilities to be acquired by the latercomer firms in order to successfully complete the various stages. This process is influenced by various factors that determine its failure or success. Considering the factors affecting the successful and unsuccessful cases in the catch-up process can gain a good insight for companies and countries that want to go through this path successfully. In this regard, in the present study, with the help of a systematic review of the literature, a framework of factors affecting the success of pharmaceutical, biopharmaceutical and knowledge-based industries was extracted in order to make a comparative comparison with the catch-up situation in the biopharmaceutical industry in Iran. Quantitative support of foreign and domestic studies of each of the factors by Shannon entropy method is calculated and compared with each other to identify gaps in the catch-up of the Iranian biopharmaceutical industry. The obtained results show that there is a high similarity between domestic and international articles in terms of entropy in terms of institutional environment, capability building, and technological regimes. It is also necessary to improve the unfavorable position of the domestic industry in the factors of the market catch-up, organizational issues and the catch-up strategies with the help of the proposed solutions.

The present study aimed to find the reasons for consumers behavior change in ride-hailing innovation ecosystem in Iran.

This research is applied in terms of purpose and used a qualitative approach. The present study has used causal layered analysis. This research has tried to study the phenomenon by using a library research and Delphi technique consisting of 18 academic and business experts.

There are several reasons for consumers behavior change in ride-hailing innovation ecosystem at four levels of litany, system, worldview and metaphor and myth. The most important findings were at the systemic level and metaphors and myths. System-level findings include the use of information technology tools, new mega trends, sharing economy and increasing productivity. Findings at the level of metaphors and myths also include the innate human tendency for maximum ease, the innate human tendency for the least uncertainty, the need for transparency, the tendency to save the most resources and time.

Consumers' expectation of continuous improvement is likely to lead to more innovations in this ecosystem., the emergence of new actors to achieve greater ease, greater transparency, reduce uncertainty and save more resources and time is expected.

There is a difference in the technology development model between developing and developed countries. In developing countries, it commences with learning the technology from innovations takes place in developed ones. Thus, the driving engine of technology development in late countries is learning the technology instead of providing innovation; in the way that the core of activities, organizations and communications are all concentrating on learning. The combination of virtual and real world has created a concept named as Industry 4.0. Nowadays, the application of Industry 4.0 in different scopes is expanding; applying it there requires setting a roadmap. This research aims to propose a learning-based roadmap for the application of industry 4.0 (especially the Internet of Things) in the sale and distribution of healthcare products. Here, there has been used the learning-based roadmapping method, the process of which is explained in eight steps. Two groups of a distinct expert panel including the business industry and technology industry contributed to this research; the Delphi method has been used to guarantee the convergence. The paper’s result can be used as a pattern for deployment in other related fields and secondly guidance in the industry to estimate required funds in the sale and distribution of health care products.

Nowdays, technology progress and development of the industry 4.00, and the new approach in idustry that concentrate in earning money from the knowledge-based economy, has resulted in designing knowledge management strategy based on the open innovation model. The main objective of this paper is to introduce a framework for knowledge management aligned with the model of open innovation at the enterprise level. To this end, the literature of the last 50 years on the WoS database is reviewed, and 34 articles were selected (out of 256 articles ) by the meta-synthesis method. By reviewing and analyzing their content, 55 codes, 16 themes, and 4 categories were extracted. These categories are: 1) creating technological infrastructure and knowledge management infrastructure, 2) Finding the common knowledge base and incorporating the ambidextrous approach for corporate learning, 3) supporting intellectual property and protecting shared knowledge, and 4) continuous improvement of organizational knowledge management performance. The first three categories can lead to the fourth. The results can be used to improve and adapt the knowledge management system in firms that focus on open innovation. It can be used as a criterion for evaluating the knowledge management system of companies seeking support in designing government incentives to encourage open innovation.

The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous studies about ecosystem’s evolution are based on case studies and affected by context. Then they are not generalizable. In this study we present a comprehensive model for evolution stages of industrial business ecosystems by qualitative Meta synthesis approach. 16 studies are identified by literature review that they were about evolution stages. Then 105 codes were extracted and translated in 19 conceptions and a 4 stages model was presented. This model, by highlighting the value chain and industrial platforms, is a good model for industrial business ecosystems. Also industrial researchers can use it to design a pattern for a special industrial ecosystem, or they can use it for studying and evaluating of the existent industrial ecosystems.

Due to the increase in natural disasters and its impact on the information production process, designing and development of sustainable information systems to facilitate information flow has become particularly important. Besides, feasibility studies of technological solutions presented in natural disaster information management (NDIM) are quantitatively and qualitatively poor. The present study aims to design a feasibility assessment framework (FAF) for assessing the feasibility of creating an open-access repository, (OAR) as a socio-technical system, in the context of natural disaster information management (NDIM-OAR) in Iran.

A Self-administered questionnaire (SAQ) was validated from the key components of an OAR with the proposed FAF dimensions adopted from TELOS, (Technological, Economic, Legal, Operational, Scheduling,) validated by the experts in the fields of information and technology management and natural disasters. The fuzzy Delphi method employed to analyze the data.

The final FAF including Technological, Economic, Legal, Operational, Scheduling, Cultural and Behavioral (TELOS-CB) crossed with the 44 indicators of creating an NDIM-OAR (including 7 categories as collection provision,, information organization, storage and retrieval, security, application, stakeholder 's participation, and management) was validated and approved by experts of the field.

The first proposed feasibility framework for creating an NDIM-OAR in Iran, through a systematically context-based design and validation. The developed framework, TELOS-CB, has been also proposed to the international research community in the field of information management and technology (NDIM/IT) as one of the dedicated tools for feasibility studies, as a reference framework to be employed, validated and adapted to similar contexts with considering adaptability rules.

Because the industry still faces challenges, it requires an environment of collaboration. This can be achieved through networking and interaction between platform owners and manufacturers of complementary products within a platform based ecosystems as one of the success factors. The purpose of this study is to present a model to investigate the factors affecting the integration of the manufacture of complementary products into new products development in the space industry in Islamic republic of Iran. The current research was conducted using descriptive – correlation methodology. Respondents were senior executives and national space project managers. Structural equation modelling (SEM) technique using Partial least squares path modeling (PLS) statistical software was employed to test of the research model and hypotheses. Data analysis indicates a significant and positive relationship between product modularity, product novelty, complexity of product development tasks and integration of the manufactures of complementary products into platform-based new product development process. There is a negative and significant relationship between the strategic importance of product development tasks and the integration of partners into the platform-based new product development process. Finally, the findings showed that the integration of partners has a positive and significant relationship with the performance of the platform-based new product.

nowadays, most companies based in developed countries use the crowdsourcing method to solve their problems, and by implementing crowdsourcing platforms and holding innovation competitions, they seek solutions to solve their problems. Crowdsourcing is one of the mechanisms for holding open innovation challenges, which has been used in various fields, including social security. However, no special work has been done to improve the quality of solutions to solve the problems of companies and institutions. Therefore, the analysis of factors that improve the quality of these solutions is considered as the purpose of this work.In this article, the factors affecting quality improvement were identified by reviewing the literature and drawn in the form of a three-category theory. Then, using a questionnaire, the opinions of experts and specialists were collected and the results were analyzed by structural equation analysis with Smartpls3 software. And the path coefficient, the extent of the impact of each of these factors on the efforts of participants, and subsequently on the quality of solutions can be obtained. The results showed that the behavioral components (interest in the issue of innovation challenge, trust in the applicant company and institution, and willingness to work with others to provide solutions), had the greatest impact on participants' efforts and, consequently, the quality of solutions that can be provided. The results of this study can be useful for police enforcement in order to improve the quality of solutions to solve their problems in the field of maintaining social security through outsourcing platforms