Showing 6 results for Ghazinoory
Volume 4, Issue 1 (6-2014)
Abstract
Innovation network is one considerable approach for innovation development in countries. This approach is applicable in high-tech development. Identifying noticeable aspects in innovation development can help planning and policy making for industries. Important factors of innovation network development in information technology sector obtained reviewing the literature. The research goal is to assess current situation of these factors and their indicators and compare them with each other. Therefore, after gaining experts opinion, a survey has been conducted in seven states of Iran about information technology corporations. The dimensions consist of corporation enablers, embeddedness, adjutant environment, self-organization, learning, interaction quality, innovation and network effectiveness. Obtained results of these dimensions have been analyzed. Based on the results, current situation of each dimension has been determined which can be used in poly-making processes. Results highlighted that there is significant differences between the situations of these dimensions.
A.a. Ahmadian , S.s. Ghazinoory , F. Saghafi, S.s. Ghazinoori, M. Mohammadi ,
Volume 9, Issue 1 (Winter 2018)
Abstract
Aims: Emerging sciences and technologies have huge potential in the field of innovation; therefore, they should be protected against large uncertainties caused by unknown. The aim of this study was to evaluate biotechnology forecasting innovation pathways based on its convergence with other technologies.
Information and Methods: In this systematic review, by the future-oriented assessment of biotechnology innovation pathways, future biotechnology strategies were developed at the national level. All potential applications of the future innovation pathways of this technology were identified in the combination and convergence with nanotechnologies, information, and cognitive science and technology. The strength and weakness of the effects and barriers in all areas of biotechnology were considered in terms of the short-, mid-, and long-term; in the same timeframe, the barriers to these technologies were identified in the field of combined dual technologies and ultimately for biotechnology itself, and future strategies for biotechnology were proposed based on 4 strategies, including ignorance, investment, exploitation, and opportunism.
Findings: In the field of biotechnology- information technology- in the mid-term, the greatest impact was on improving the quality of human life, improving social outcomes, and increasing the level of innovation, and in the field of biotechnology- nanotechnology and biotechnology- cognitive science on improving the quality of human life, increasing security and defending power, and improving the positive social consequences.
Conclusion: The highest number of applications is the mid-term. The "exploitation" strategy should be used in biotechnology- cognitive science and biotechnology- nanotechnology, respectively. The "investment" strategy should be the most widely used in the common areas of biology with information technology. In the common areas of biotechnology with nanotechnology and cognitive sciences, the most application is the “opportunism" strategy.
Z. Mohammad Hashemi , S. Ghazinoory , M. Sajadifar, M. Sahebkar Khorasani , A. Moussavi ,
Volume 10, Issue 4 (Fall 2019)
Abstract
With the approval of the law for supporting knowledge-based firms in 2010, a new wave in Iran's science, technology and innovation system began with a focus on the knowledge based economy and innovation-based. Currently, there are more than 4,000 knowledge-based firms in Iran that nearly 5% of them are active in biotechnology. The aim of the present study is to design an empirical model of the relationship between financial and tax incentives of this law on some of the performance indicators of biotechnology knowledge-based firms. For this purpose, after analyzing the content of related documents and designing the study model, for evaluating the direct and interacting effects between policy tools, identifying the important empirical factors and their level, "23 factorial design" was used. Study target community includes 113 manufacturing knowledge-based firms in the field of biotechnology. The findings of this study on input additionality indicators show the positive effect of the threefold interaction of factors on the R&D expenditure and the positive effects of commercialization financing and technology financing and their interactions on R&D employee. In the present study, there was no relationship between the effectiveness of policy tools on output additionality indicators.
Hadi Siadati, Sepehr Ghazinoory, Mehdi Fatemy,
Volume 12, Issue 4 (fall 2021)
Abstract
The biopharmaceutical industry in Iran is developing in parallel with the global trend. Given the risks and costs of research, development, production, and sales of these drugs, firms have moved toward open innovation models across different value chains in the last decade. However, the limited use of technological cooperation methods by the Iranian firms will trap the industry in genericization soon. Accordingly, the development of an open innovation system in the value chain of the Iranian biopharmaceutical industry provides the possibility of continuous development of the industry. In the present study, first, the technological capabilities of the firms in the Iranian biopharmaceutical industry were evaluated, and then some cases of technological cooperation in the industry were studied deeply. Accordingly, considering the "strategic" level of technological capability of firms and also the lessons learned from the multicase study of the experiences of the Iranian pharmaceutical firms, strategies including the completion of the value chain links, the use of export development tools, the supporting of the commercialization in universities and research institutes, the facilitation of technology integration and acquisition and finally the development of smart public financial support to develop are proposed for the development of open innovation system in the Iranian biopharmaceutical industry.
Volume 12, Issue 4 (3-2023)
Abstract
In recent years, the concept of innovation ecosystems has become commonplace for understanding the process of creating shared value. On the other hand, due to the importance of radical innovations in creating a unique defense capability and evolving of these innovations in a network of different actors, the need for an ecosystem view is felt more. In this research, with a qualitative approach and in the form of a multi grounded theory strategy, using latent content analysis tactics and semi structured interviews, a framework for radical innovators in the Iranian defense sector has been introduced. The interviewees were selected from senior managers in the field of defense innovation by snowball sampling method and the researcher saturated the data after 28 interviews. Findings showed that the components of radical innovations ecosystem include actors, capital, infrastructure, regulations, knowledge, ideas, commonalities and communication channels, culture, and structural principles.
Volume 13, Issue 4 (1-2024)
Abstract
Companies have various strategies in front of them to meet their technological needs. In many cases, endogenous development of technology is not cost-effective and firms use other methods (both formal and informal) to transfer and acquire technology. Our studies show that so far no standard list of these methods has been provided in the literature and the existing lists have been formed based on the personal observations of researchers. Based on this, this research seeks to provide a standard typology of technology transfer and acquisition methods based on a theoretical framework. This study models a variety of methods of technology transfer and acquisition with interactions between particles with the biomimetic method, which is a structured method for inspiration from nature to solve human challenges. For this purpose, in the first step, "interactions between particles" - which are known and have specific types - have been chosen as the best counterpart that can model the technological relationships between companies. In the next step, the evidence needed to explain the main dimensions and elements of the research model (semantic relationships between the concepts and components of two phenomena in chemistry and management) is collected, and then a one-to-one correspondence is established between the elements of the research subject and the selected counterpart to obtain the final mapping. The modeling of this research shows the existence of 13 technological relationships. The ideas of this article can be the beginning of a path for the use of chemistry in human relations management issues.
