مجله توسعه تکنولوژی صنعتی
پیاپی 42 (زمستان 1399)

Science and technology are the first driving forces for the emergence of a knowledge enterprise economy. The level of science and technology is related directly to the success of technology development and industrial growth of a country. An important step in the success of technology development is the standardization of technology. Having a proper understanding of the concepts and approaches of technology standardization can accelerate the process of technology development and facilitate market access and penetration of international markets. research, in a descriptive-survey study and using correlation analysis of variables and multiple regression relationships, we try to examine the relationship between standardization and technology development in some of the automotive industries to determine through what factors and how standardization affects technology development. The results show that in general, standardization has a relatively strong, positive and significant correlation with technology development and it is an effective strategy to accelerate the development of technology in the country. Among the factors extracted from the model, the two factors of research and development of standards and technical solution have the highest correlation for technology development. Finally, establishment a specific section as standards in the R&D unit of automotive industry was proposed.

The main purpose of this study was to analyze the role of social entrepreneurship in economic, cultural and social development of society based on a descriptive-correlational study. The data collection tool was a questionnaire whose validity and reliability were confirmed. The statistical sample was 385 employees of Borujen and Shahrekord industrial towns of Chaharmahal and Bakhtiari province and the data were analyzed using one-sample t-test and structural equation model. Findings showed that the rate of social entrepreneurship programs in the studied settlements is average and the rate of cultural development is less than average and also the indicators of economic and social development were above average. Social entrepreneurship and the index of social development had a positive effect on economic growth, both directly and indirectly, through the mediating role of cultural development. Social entrepreneurship had an almost greater impact on economic development than the social development index, so the relevant managers should focus more on social entrepreneurship in order to successfully implement development and growth programs for industrial estates.

Today, startups are the main source of innovation in the world and play a key role in the innovation process and have become one of the main tools for corporation and organizations to achieve corporate innovation and organizational growth and development. The purpose of this study is to identify and rank the mechanisms of collaboration between corporation and startups in order to achieve innovation and strategic renewal through the expansion and generalization of corporate venturing mechanisms. Research

The research is quantitative in the form of triangular fuzzy numbers in terms of data collection. Therefore, in terms of research philosophy, it is in the category of positivism paradigm and the orientation of research is applied and developmental, and the strategy used is multi-criteria decision making. The community of all experts was familiar with the subject and sampling was purposefully selected from the community. In order to analyze the collected data, method have been used the multi-criteria decision making(fuzzy Shannon entropy and fuzzy ARAS).

The results showed that 11 mechanisms of corporate venturing collaboration can be considered as mechanisms of innovation and renewal activities in the organization, with the difference that their effectiveness is different in each dimension. And if the corpoarte accelerator mechanism is used as a tool to collaborate with startups, all three dimensions of corporate entrepreneurship will be realized.

The purpose of this study was to develop a model of student recruitment policies with emphasis on the relationship between university and industry. The research method was a two-step exploratory combination of instrument making. The research method in the qualitative stage, qualitative case study and potential participants included university professors, university presidents and industry activists, management. The sampling approach was purposeful and the sampling method was key experts. Data collection continued until theoretical saturation. The research tool was an in-depth in-depth interview. In the qualitative part and in the first part, the extraction of data and components is done by the method of content or theme analysis method. Then, to interview the research model, interviews with experts and questionnaires have been used. The extracted model from the analysis of the research findings was designed in the form of five main dimensions, eleven components and thirty-six criteria. The five main dimensions are: "identity of the humanities", "policy making", "inability of the researcher's desire", "commercialization thinking", "research structure". In the quantitative part, the research method was descriptive-survey and the statistical population included 20 university professors, university presidents and activists in the field of industry, management and student recruitment issues. To validate the model, 20 people were selected using targeted sampling approach and key expertise method. The tools used in the quantitative section were the researcher-made scale based on the network of themes of the qualitative section. Quantitative analysis was performed by fuzzy analysis to determine the validity of the model. The results of the quantitative section were performed using fuzzy AHP analysis to determine the validity of the model.

In this paper, in order to achieve a suitable model for the main function of technology transfer offices, first with a systematic literature review of the interaction and sharing between TTO technology transfer offices in universities in order to understand how to manage TTOs in IP intellectual property management Prepared and presented. Technology transfer offices protect the intellectual property of a scientific organization such as a university or a research organization and manage current interactions in the process with the aim of creating value. Therefore, technology transfer from the university to industry is one of the most effective channels for technology transfer and development. In Iran, despite the studies, it is clear that the main activities are not well prioritized and do not perform well. For this purpose, after reviewing various models of technology transfer in TTOs and interviewing experts, tasks and effective factors with the technology transfer approach are divided into six main variables and finally components. The main one that indicates the appropriate determination of factors is identified and then using interviews and surveys of 45 experts (with the distribution of questionnaires) the underlying dimensions of independent variables and dependent variables by confirmatory factor analysis, path analysis and factor loading using software PLS item Analysis was performed. Therefore, the research findings show the creation, development and commercialization of knowledge and intellectual assets in the direction of innovation, which have more importance, weight and impact in the form of a model that fits the purpose of the research.

Marketers' skills in digital marketing are of particular importance to corporate executives or individuals who want to develop their business and attract more customers. The main purpose of this study is to measure business skills (research skills, technical and applied knowledge, monitoring and measurement, and ability of digital skills integration), and technical skills (Organizational skills, future prediction, and customer relationship skills) among digital marketers. This study is conducted on a survey basis, using the model of Rowell and Len, (2014) and descriptive data collection method. Proposed factors were analyzed using Pearson correlation test, one-sample t-test, paired t-test, t-test with two independent samples, and variance analysis through the significance-performance matrix which were conducted through SPSS. The resulted significance levels show that the highest average is related to future forecasting skills (with the value of 4.6188), and the integration of digital skills (4.4989), also the largest gap in the dimensions of Digital marketer's skills is related to future prediction skills (-1.0014), and monitoring and measurement skills (-0.8913