مجله توسعه تکنولوژی صنعتی
پیاپی 53 (پاییز 1402)

In today's world, organizations are faced with impulses and disturbances such as; Changes in the level of customer expectations, technological changes, international sanctions and lack of resources are faced, which affect both organizational resilience and the choice of technology transfer methods. Therefore, this research was conducted to identify the most important components of organizational resilience with respect to the importance of technology transfer methods in companies designing and manufacturing power transmission line fittings. The method of the present research was applied, qualitative, cross-sectional and descriptive with the help of data collection tools including library studies, questionnaires and interviews and using the technique of quality performance development with a statistical community consisting of experts and industry and university experts who were selected non-randomly using judgment-targeted methods and networks were done. In this research, after identifying the most important factors influencing the choice of technology transfer method, the most common technology transfer methods and organizational resilience components, relationships and value of technology transfer methods and organizational resilience components were identified and analyzed using the quality house matrix. According to the obtained results, "the need to acquire technology" is the most important factor in choosing the method of technology transfer, "reverse engineering" method is the most optimal method of technology transfer and "trust between actors" is the most effective component of organizational resilience.

Co-creation is known as a process in which the customer wants to play an important role in order to improve the company's products and services. Achieving shared value creation requires a structural fit between customer activities and seller activities. Value creation has a collaborative and interactive nature, and now value is not only in exchange, but also in use. At the intersection of emerging perspectives on entrepreneurship and S-D logic, an opportunity creation process involves four distinct but mutually and iterative stages of developing value propositions, communicating value propositions, extracting and determining value, and reshaping markets. Value creation has practically become the source of company performance due to the key role it plays in product and service development, and consumers are considered as the determinants and creators of value and the company as a partner. Planting innovation is the creation of new company's potential resources in new technology and harvesting innovation is creating new resources that are waiting for market launch in the short term. To harvest innovation, companies must interact with intermediate and final consumers, governments, non-governmental organizations, suppliers and Research institutions to cooperate. The resulting products or services are expected to be favored by the market, because companies have reflected market opinions in the innovation process. In planting innovation, emerging economic companies must attract the participation of potential consumers, governments, non-governmental organizations, research institutions, and technological investments. Cyberspace allows growers and harvesters from emerging economies to overcome the limitations of location and culture, and with minimal investment, companies can create value with different stakeholders across borders and time zones.

The significant growth in scholarly research on CVC investments may be partly related to the volume of participant behaviors over many years. In this situation, there will inevitably remain only companies whose managers are equipped with risk-taking skills, therefore, the entrepreneurial behavior of employees is described as one of the prominent aspects in facing competitive advantage. The aim of the present study is to investigate the effect of entrepreneurial behavior on corporate venture capital with the mediating role of risk taking. This research is applied in terms of purpose and descriptive-correlation in terms of nature and method. The statistical population of this research includes 144 people from the general office of Maskan Bank. In this research, Cochran's sampling formula was used to calculate the sample size. In this formula, with a possible accuracy of about 5% and assuming the highest dispersion of the studied traits, the sample size is 104 people. A questionnaire tool was used to collect data. Structural equation method and SmartPLS software were used to check research hypotheses. The obtained results show that when middle level managers perform entrepreneurial behavior, they have to influence their subordinates to imitate their performance behaviors, which ultimately leads to superior service delivery. In addition, the findings of this study can provide insights for policymakers in formulating and implementing human capital development policies and allow banks to benchmark themselves to improve their ability to create value. Considering the increase in global competition and the complexity of the market, it is hoped that this study will help the banking sector to develop effective strategies in stimulating entrepreneurial behaviors among its managerial employees. Hence, for established organizations such as the banking sector, it is critical to foster entrepreneurial behavior, especially at all middle management levels, in order to enhance performance and improve competitive advantage.

open innovation intermediaries is a Leveraging technology through for valuable tool in open innovation and creating effective capabilities in completing the value chain of the innovation process. Facilitating and speeding up the complexities of the technology market is the result of the effective presence of innovation intermediaries. Considering the deep technological gap and the challenges of innovation processes in Iran, as well as the functional weakness of this group of innovation network brokers in Iran, this article seeks to determine the influencing factors in the role and activity of innovation intermediaries in the open innovation platform. , and stratification of factors by using the structural-interpretive model, provide implementation solutions to resolve the communication gap and strengthen the actors of Iran's innovation system. In this fundamental research, and through the qualitative method based on foundational data theory and MAXQDA software, the influencing variables were determined. . With semi-structured in-depth interview technique with 13 knowledgeable experts in the field of innovation system and managers of innovation intermediary companies and reaching the theoretical saturation point, using open, central and selective coding, the research topic was analyzed. . The resulting paradigmatic model was determined based on the central phenomenon (effectiveness of innovation mediating function), affected by causal conditions, context and intervening variables, and in order to complete it, and by implementing the quantitative phase, during a survey of experts, through the model method Structural-interpretive construction of ISM, influential factors and variables, leveling and extraction of the structural-interpretive model and MICMAC analysis were done to determine the permeable variables and the factors' dependencies. The results of the research confirm the key role of innovation culture and the necessity of maturing the understanding of technology development, reducing government delegation and focusing on the technological needs of the country by the actors and institutions of the innovation network as the most influential factors in the optimal functioning of innovation mediation.

With industrial revolutions, there have been fundamental changes in technology and production patterns. The introduction of automation processes, electronics and information technology in the transformations of machine and manual work led to the fourth industrial revolution. This development, which is referred to as the fourth industrial revolution, has led to the emergence of concepts such as the Internet of Things, big data, and artificial intelligence. Therefore, the purpose of this research is to provide a model of the effect of the technologies of the fourth industrial revolution in the Iranian automobile industry. In terms of the environment, the current research is of the library and field type. Based on the applicability of the results, the current research is applied. Also, according to the subject, the nature of the current research is descriptive and correlational. The statistical population of this research is made up of deputies and managers of the automobile industry. For the validity of the questionnaire, face validity was used, and for reliability, the shared and composite reliability coefficient was used. For data analysis, using SPSS and Expert Choice software, correlation coefficient, hierarchical analysis and sample t-test were used. The findings of the AHP hierarchical analysis method test show the importance of the components of the technologies of the fourth industrial revolution in the automobile industry. It ranks third with 0.157, institutional environment ranks fourth with 0.145, government policies rank fifth with 0.120, market weighs 0.117 ranks sixth, and finally cultural factors rank seventh with 0.102. Paying attention to the basic indicators of the importance of the technologies of the fourth industrial revolution in the automobile industry will help this industry move better than before in the direction of predetermined goals.

This research has been carried out with the aim of measuring the indicators of readiness levels for the development of new products in organizational entrepreneurship in Iran's nanotechnology industry. This research is applied and done with the help of quantitative method and using survey and correlation method. The necessary information was collected using a questionnaire from 384 statistical samples from the community of theoretical and experimental experts in the field of new product development. The measurement tool has been adapted and used by experts and their views. In order to analyze the evidence, multivariate analyzes such as exploratory factor analysis, first-order and second-order confirmatory factor analysis and comparison of the mean of a group were used. Various indicators have supported the reliability and validity of the components identified in the supporting research and the fit indicators of the capability of the measurement part and the structural part of the model. In the analysis of data from MaxQDA statistical software, S. P. S. S and Imus were used and the results were decided and analyzed based on the rule of statistical software. This part of the research has been analyzed with descriptive and inferential indicators. Based on the results of the exploratory analysis, 15 components have been identified and supported by confirmatory factor analysis, and based on the second-order factor analysis, the components and dimensions of the speed of internationalization of new product development in organizational entrepreneurship in Iran's nanotechnology industry have been identified. The components of the culture of entrepreneurship and innovation, scientific institutions and networks and the ability of networking and communication forming the behavioral dimension, the components of entrepreneurial skills, the face and position of new product development, the teaching and learning process and the structural capabilities forming the contextual dimension, the components of the speed of internationalization In the development of new products in organizational entrepreneurship, entrepreneurial leadership, international commercialization process forming the functional dimension and components of laws and regulations, support structure, research system, international strategic orientation and entrepreneurial perspective and educational system forming the structural dimension of the new product development model in entrepreneurship organizations in Iran's nanotechnology industry, and finally, based on the extracted dimensions and components, new product development indicators are presented in organizational entrepreneurship in Iran's nanotechnology industry.