seyedeh sedigheh jalalpour
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پارک های علم و فناوری به عنوان یکی از کنش گران اصلی اکوسیستم نوآوری؛ با هدف توسعه اقتصاد دانش بنیان، افزایش نوآوری فناورانه و اشتغال زایی متخصصین بوجود آمده اند. در سال های اخیر ایجاد و توسعه پارک های علم و فناوری شتاب زیادی داشته و تاثیر این موسسات و کارکردهای متنوع آنان به عنوان بخشی از زیرساخت های نوآوری و فناوری بر رشد و توسعه اقتصاد دانش بنیان روز به روز نمایان تر می گردد. کارائی و اثربخشی عملکرد پارک ها در فرایند تعامل و همکاری با دیگر بازیگران اکوسیستم نوآوری از جمله دانشگاه ها و موسسات تحقیق و توسعه، مراکز صنعتی و ارتباط با محیط تقویت می شود. از این رو بررسی و شناخت فرایند شبکه سازی در پارک های علم و فناوری بسیار حائز اهمیت است. هدف این پژوهش شناسایی شاخص های شبکه سازی و ارائه مدل مفهومی شبکه سازی در پارک های علم و فناوری است. رویکرد این تحقیق فراترکیب بوده که در آن از روش باروسو و سندلوسکی استفاده شده است. نتایج پژوهش نشان می دهد شاخص های اصلی شبکه سازی پارک های علم و فناوری شامل ارتقاء سطح محصولات، اطلاعات، افزایش سهم بازار، اهداف (اهداف پارک، اهداف اجتماعی - اقتصادی و زیست محیطی)، ایجاد ارزش، بهره برداری از فرصت های موجود در پارک، بهینه سازی منابع، توسعه محصول جدید، دانش اعم از دانش بازار؛ شرکا و هم آفرینی دانش، عملکرد بین المللی و تجاری پارک، فرصت سازی به واسطه بازار، مدیریت، نیاز به منابع و منابع عملیاتی، ایجاد و توسعه روابط و یادگیری سازمانی هستند.
کلید واژگان: پارک های علم و فناوری, اکوسیستم نوآوری و فناوری, شبکه سازی, شاخص های شبکه سازی, فراترکیب.Science and technology parks as one of the main actors of the innovation ecosystem; They have been created with the aim of developing a knowledge-based economy, increasing technological innovation and creating employment for specialists. In recent years, the creation and development of science and technology parks has gained a lot of momentum, and the influence of these institutions and their diverse functions as part of the infrastructure of innovation and technology on the growth and development of the knowledge-based economy is becoming more visible day by day. The efficiency and effectiveness of the park's performance is strengthened in the process of interaction and cooperation with other actors of the innovation ecosystem, including universities and research and development institutions, industrial centers and communication with the environment. Therefore, it is very important to investigate and understand the process of networking in science and technology parks. The purpose of this research is to identify the indicators of networking and to present a conceptual model of networking in science and technology parks. The approach of this research is hybrid, in which Barroso and Sadowski’s method is used. The results of the research show that the main indicators of science and technology park networking include upgrading the level of products, information, increasing market share, goals (park goals, socio-economic and environmental goals), creating value, exploiting the opportunities in park, resource optimization, new product development, knowledge including market knowledge; Partners and co-creation of knowledge, international and business performance of the park, creating opportunities through the market, management, need for resources and operational resources, creating and developing relationships and organizational learning.
Keywords: Science, Technology Parks, Innovation, Technology Ecosystem, Networking, Networking Indicators, Meta Synthesis -
امروزه توسعه پارک های علم و فناوری و بهبود عملکرد آنها در گروی همکاری با صنعت و دانشگاه و ارتباط با محیط و مراکز مرتبط است. از این رو شناسایی شبکه همکاری و شاخص های شبکه سازی در پارک های علم و فناوری حایز اهمیت است. هدف این پژوهش شناسایی شاخص های شبکه سازی در پارک های علم و فناوری است. روش پژوهش حاضر کیفی بوده و در آن از سه روش فراترکیب، دلفی فازی و دیماتل استفاده شد. جستجو در پایگاه های اطلاعاتی فارسی و انگلیسی انجام و10 مطالعه مرتبط شناسایی، مورد بررسی قرارگرفت. برای تایید شاخص های شبکه سازی مستخرج از ادبیات نظری، از 13 نفر از خبرگان و مدیران پارک فناوری پردیس نظرسنجی و شاخص ها با استفاده از روش دلفی فازی توسط خبرگان تایید شد. به منظور ترسیم مدل علی روابط بین شاخص ها از روش دیماتل استفاده شد. داده ها با استفاده از نرم افزار اکسل تجزیه و تحلیل شد. نتایج نشان داد شبکه سازی در پارک های علم و فناوری دارای 15 شاخص از قبیل ارتقاء سطح محصولات، اطلاعات، افزایش سهم بازار، اهداف و ایجاد ارزش است. از نظر خبرگان، شاخص افزایش سهم بازار در اولویت اول و یادگیری سازمانی در آخرین رتبه قرار می گیرد. ترسیم مدل علی شبکه سازی نشان داد، شاخص هایی مانند مدیریت، یادگیری سازمانی، اطلاعات و دانش از شاخص های اثرگذار هستند. شاخص هایی نظیر توسعه محصول جدید، فرصت سازی بازار، روابط و بهره برداری از فرصت نیز از شاخص های تاثیرپذیر در شبکه سازی پارک-های علم و فناوری هستند.
کلید واژگان: شاخص های شبکه سازی, پارک های علم و فناوری, فراترکیب, دلفی فازی, دیماتلNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and university and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The purpose of this research is to identify the indicators of networking in science and technology parks. The method of the current research is qualitative and in it three methods of metacomposition, fuzzy Delphi and Dimetal were used. A search was made in Persian and English databases and 10 related studies were identified and analyzed. In order to verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the fuzzy Delphi method. In order to draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software. The results showed that networking in science and technology parks has 15 indicators, such as improving the level of products, information, increasing market share, goals and creating value. According to experts, the market share increase index is the first priority and organizational learning is the last. Drawing the causal model of networking showed that indicators such as management, organizational learning, information and knowledge are effective indicators. Indicators such as new product development, market opportunity creation, relationships and opportunity exploitation are also effective indicators in the networking of science and technology parks.
IntroductionNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and universities and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The ultimate mission of technology parks is to be able to coordinate the results obtained from academic research with the needs of the industry and thus fill the gap between the industry and the university, and this will ultimately lead to the commercialization of knowledge. One of the major influential factors in changing the approach of science and technology parks and creating new structures and mechanisms is the birth of new concepts such as networking in the field of business. The purpose of business networking is to increase competition, cooperation and organizational expansion. Considering the importance of these centers and the impact of networking on their performance, it is essential to identify the indicators of networking in science and technology parks. So far, many researchers have investigated the relationship between science and technology parks and other actors in the innovation ecosystem, but few researchers have focused only on the indicators of park networking. In this regard, this research aims to identify the factors influencing the networking of science and technology parks and to evaluate the cause-and-effect relationships between these factors by using the method of a systematic review of previous studies (super combination) and a survey of experts. This question should answer what are the indicators of networking in science and technology parks.
Literature ReviewPaztto and Burin's research (2022) indicates that management control systems are effective in inter-organizational cooperation and identification of companies. This system promotes collaborative behaviors among companies related to science and technology parks. Networking and inter-organizational partnership ultimately lead to knowledge and information sharing, increasing flexibility, improving problem-solving strategies and limiting the use of power. The research of Glitova et al. (2022) showed that for cooperation and networking between industry, university and the public sector, attention should be paid to indicators such as knowledge creation by universities, research and development centers and businesses, technology transfer, creation of new businesses, industrial clusters, Business support services, customization, building the necessary infrastructure and equipment, and legal requirements at the local level are required. The research of Khan-Mirzaei et al. (2021) showed that networking and emphasizing cooperation and communication between science and technology parks and growth centers can lead to gaining a competitive advantage for the national economy. Communication with universities and research and development centers, cooperation with companies that have a similar field of work, access to the information flow and access to the information needed in the market, or in other words, the market situation, are among the factors that create a cooperation network between Science and technology, industry, university parks are important. In confirmation of this issue, Cadorin et al. (2019) stated that talent resources and the government play an important role in promoting cooperation between science and technology parks and universities. Managers of science and technology parks should strengthen their relationship with local universities and the student community (as sources of talent) and pay attention to their relations with government representatives to receive the necessary support for the development of the park.
MethodologyThe method of the current research is qualitative and in it, three methods of Meta-synthesis, Fuzzy Delphi and DEMATEL were used. A search was conducted in Persian and English databases and 10 related studies were identified and analyzed. To verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the Fuzzy Delphi method. To draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software.
ResultsIn this research, a set of 62 codes and 15 indicators was obtained by extracting concepts effective on park networking from previous qualitative research. The main indicators include improving the level of products, and information, increasing market share, goals (park goals, socio-economic and environmental goals), creating value, exploiting the opportunities available in the park, optimizing resources, and developing new products, Knowledge includes the knowledge of the market-partners and co-creation of knowledge, the international and commercial performance of the park, creating opportunities through the market, management, the need for resources and operational resources, creating and developing relationships and organizational learning. According to experts, the market share increase index is the priority and organizational learning is the last. The indicators of relationships, value creation, resources, market opportunities, goals, management, knowledge, exploiting opportunities, resource optimization, performance, upgrading products, information and new product development are ranked second to fourteenth respectively. Indicators of management, organizational learning, information, knowledge, goals, resources, and upgrading of products are effective indicators. New product development, creating market opportunities, and relationships, exploiting opportunities, optimizing resources, creating value, and increasing market share and performance are also influential indicators in the networking of science and technology parks.
ConclusionThe review of the subject literature showed that paying attention to the indicators obtained in this research can lead to networking in science and technology parks. For example, the implementation of the indicators of improving the level of products, increasing market share, park goals, creating value, exploiting opportunities, knowledge, creating market opportunities, relations between actors, organizational learning and technical and human resources in Nihu Technology Park and Nankang Software Park in Taipei City. Networked. Researchers have pointed out various actors in the cooperation network of science and technology parks. The review of the texts in the meta-synthesis stage showed that each of the sources identified one to three actors based on their purpose. What was tried to be considered in this research was the gathering and consensus of all actors and their placement in the form of networking indicators such as increasing market share, resources and management. Among the new findings of this research, we can mention the type of causal relationships that are established between the indicators of networking in science and technology parks. Most researchers have not paid attention to these relationships and have focused more on the relationship between the park and variables such as innovation, performance, development, etc. However, the identification of networking behavior and the type of communication between the elements of this ecosystem can lead to the improvement of performance and optimization of activities and actions, and in this research, we tried to consider more and more comprehensive indicators in the cooperation network. be placed Finally, the purpose of the formation and development of science and technology parks is to increase the capacity of innovation and the growth of the knowledge-based economy through knowledge management (creation, sharing and access to knowledge and technology) among the members of the cooperation network of parks and to develop and commercialize the product, it becomes possible by them.
Keywords: Networking Indicators, Science, Technology Parks, meta- synthesis, Fuzzy Delphi, DEMATEL -
تحقیق و توسعه نقش کلیدی در تولید دانش و فناوری ایفا می کند بنابراین سرمایه گذاری و برنامه ریزی در این زمینه، برای حفظ و تداوم مزیت رقابتی حائز اهمیت است. از آنجایی که کشورهای در حال توسعه به طور معمول واردکننده فناوری های پیشرفته از کشورهای توسعه یافته هستند و از طرفی در طول سال های اخیر تامین نیازهای مراقبت بهداشتی با موانع جدیدی از جمله هزینه بالای داروها و الزامات جدید تجارت بین المللی رو به رو شده است در نتیجه این مسئله منجر به شکل گیری و توانمندسازی تحقیق و توسعه داخلی در این صنعت شده است. این مقاله ابتدا مروری بر تحقیق و توسعه در صنایع دارویی کشورهای در حال توسعه داشته و سپس نظریات مرتبط با آن را مورد بررسی قرار داده است. با توجه به اینکه کشور هند به موفقیت های بسیاری در صنعت دارویی از طریق اتخاذ و اجرای سیاست های مناسب در زمینه تحقیق و توسعه دست یافته است، در همین راستا تجربیات کشور هند در صنعت داروسازی مورد مطالعه قرار گرفته و در نهایت مسیری که هند از سال 1947 تاکنون در این صنعت طی نموده، در قالب چارچوب مناسبی شامل ابعاد، نوع تحقیق و توسعه، نوع نوآوری (محصول یا فرایند) و زمان به همراه ویژگی های هر دوره از آن ارائه شده است. این چارچوب می تواند به عنوان راهنمایی برای فعالیت های تحقیق و توسعه در صنایع داروسازی سایر کشورهای در حال توسعه از جمله ایران مورد استفاده قرار گیرد.
کلید واژگان: تحقیق و توسعه, صنعت داروسازی, کشورهای در حال توسعه, بایو فناوریresearch and Development plays a key role in creating knowledge and technology, hence planning and investment in this area is too important for countries to keep their permanency of competitive advantages. For the time beingdeveloping countries from one side, aretypicallyimportinghigh technologyfromdeveloped countries, and from the other sidein recent years supply of domestic healthcareneeds faced with new barriers such as high costof drugs and the emergence of new international. Consequently the situation leads to formation and enabling of domestic R&D in Pharmaceutical industry. this paper have considered the situation of Pharmaceutical industry’s R&D in developing countries and then examined the related theories, Having in mind the India’s achievements in Pharmaceutical industry through adoption and implementation of appropriate R&D policies,. India's experiences in Pharmaceutical industry especially in bio technology looked over and finally the pass through manner of India from 1947 till now is presented in a suitable framework. The framework’s features consist of types of R&D, forms of innovation (product or process) and the time with in each period. It may used as guidance for R&D activities in Pharmaceutical industry in other developing countries.Keywords: Research, Development (R, D), Pharmaceutical Industry, Developing Countries, Bio Technology
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