جستجوی مقالات مرتبط با کلیدواژه « Smart Specialization » در نشریات گروه « علوم انسانی »

The policy maker's goal at the macro level is to promote knowledge-based activities in different regions of the country and the balanced development of the provinces. The current study focuses on the concept of intelligent specialization with the aim of supporting knowledge-based companies and developing their activities. Based on this approach, innovative activities in the provinces should be focused on competitive advantages, potential capacities and value chains in the region.Therefore, this research emphasizes on supporting knowledge-based companies in accordance with the conditions of the region and with the aim of directing activities in the priority areas of the region. Focusing on Hormozgan province, this study has investigated the priority areas and advantages of the region through the study of official provincial documents, including Hormozgan province's plan document and the province's strategic problem-solving document. Then, through interviews with 21 activists in the field, it identified the challenges faced by knowledge-based companies. Thematic analysis method was used to analyze the data and by coding the concepts extracted from the interviews and policy texts, the meaningful pattern of the themes was determined based on the collected data.In the first step of the research, the priority and attractive areas of the province were determined. Then, the field of activity of knowledge-based companies was investigated and based on the attractiveness-capability matrix, areas of activity with high attractiveness, high ability, and high attractiveness, low ability were identified. The results showed that the development of knowledge-based activities in the region requires that things like facilitating the licensing of active companies in priority areas, helping to complete the supply chain in the relevant area, justifying actors to support companies in emphasized areas and using the knowledge of other provinces in relevant areas should be followed up.

Knowledge-based companies are a representative for innovative activities in the region, and its uneven distribution is considered one of the factors of the innovation gap between regions. This research examines the uneven development of knowledge-based companies in the provinces of the country,. In this regard, the functions that are necessary for the formation and growth of knowledge-based activities in the region, were focused on, and the background factors affecting the growth of knowledge-based companies that represent the identified functions was investigated with a quantitative approach. Some of these factors include the share of the province in the number of academic staff, the number of articles, the number of research and development workshops, etc. In the next stage, focusing on the concept of smart specialization, the specialization of the activities of knowledge-based companies was pursued, and based on the conceptual framework of the regional innovation system, the alignment of the actions of the actors of the two sub-systems of knowledge creation and knowledge utilization, as well as the government, was investigated. The data was collected through the library study of official statistics and documents and referring to the website of knowledge-based companies. Finally, based on the findings, suggestions such as defining the human resource exchange mechanism, creating inter-provincial networks, facilitating commercialization, etc. have been presented. For the specialization of knowledge-based activities based on the conditions of the region, targeted and directed support of knowledge-based companies and adjustment in the evaluation method of knowledge-based companies have been emphasized.

Innovation is a process dependent on geography and region in which local capacities such as resources, institutions, public and cultural values are the main drivers. Interactions between different sectors of the region, including technical, commercial, legal, social and financial sectors, contribute to the development, protection, financing or regulation of innovation and technology. The dependence of innovation on the characteristics of regions has made it impossible to provide a single model for the development of innovation in the regions, and in fact, a diverse set of institutional capacities, tools and characteristics is needed for the development and management of present and future knowledge. Also important are factors such as regional production, regional environment, system of academia and research in the region, public management and the capabilities of private and business firms. Given the differences in the state of innovation in the provinces of Iran, this study seeks to present a smart specialization for the development of regional innovation ecosystem in Iran. To this end, by studying and reviewing previous studies and research, the requirements and components of smart a smart specialization have been identified and based on them an initial framework has been designed for smart regional eco-innovation development policies. Then, in order to present a native model for intelligent policy package design, East Azerbaijan Province, which has been institutionalized in science and technology policy discussions among the province's actors and activists, was selected and with using Multi Grounded Theory (MGT) method and using interviews with provincial managers, trade unions, industrial cluster and technology managers. The identified requirements and components were initialized in a local and regional context. The proposed model of smart specialization for formulating regional innovation development policies includes three stages: preparing the vision and priority areas of the region, analyzing the innovation ecosystem of selected areas, formulating a policy mix and implementing planning along with considering process considerations.

Innovation is a phenomenon that has significant implications on socio-economic variables such as productivity growth, wealth generation and employment; hence the study of countries' innovation has attracted a significant attraction among policy research. Despite the promotion of the concept of the national innovation system for analyzing the behavior of innovation, complementary perspectives such as the regional system of innovation have also been used because of increased inequalities in different regions. One of the newest regional policymaking strategies is the smart specialization strategy. The strategy states that for each region, certain priorities should be determined with regard to the potential of the region in order to stimulate and enhance innovation at the regional and national levels.Given the differences in the status of innovation in the provinces of the country, this article seeks to provide a framework for designing regional innovation policies based on smart specialization strategies using the inductive method. To this end, the requirements and components of smart specialization have been identified based on the metasynthesis of previous research (deductive). In this step, 119 articles from Scopus, Emerald, ScienceDirect, Springer, and Proquest databases were examined. After three screening stages, 30 articles were identified for a more in-depth analysis, which resulted in a framework for implementing smart specialization strategy. The framework was proposed with the following components:(1) Examining the current situation of the region and analyzing the capabilities of the region; (2) Identify smart specialization priorities; and (3) Smart specialization operational planning.

Innovation is a process dependent on geography and region in which local capacities such as resources, institutions, public and cultural values are the main drivers. Interactions between different sectors of the region, including technical, commercial, legal, social and financial sectors, contribute to the development, protection, financing or regulation of innovation and technology. The dependence of innovation on the characteristics of regions has made it impossible to provide a single model for the development of innovation in the regions, and in fact, a diverse set of institutional capacities, tools and characteristics is needed for the development and management of present and future knowledge. Also important are factors such as regional production, regional environment, system of academia and research in the region, public management, and the capabilities of private and business firms. Given the differences in the state of innovation in the provinces of Iran, this study seeks to present a framework for smart policymaking of regional innovation in Iran.Theoretical frameworkSmart Specialization is an innovation policy concept that aims to boost regional innovation, contributing to growth and prosperity by helping and enabling regions to focus on their strengths. Smart Specialization is based on partnerships between businesses, public entities, and knowledge institutions. Smart specialization strategy' means the national or regional innovation strategies which set priorities in order to build competitive advantage by developing and matching research and innovation own strengths to business needs in order to address emerging opportunities and market developments in a coherent manner, while avoiding duplication and fragmentation of efforts; a smart specialization strategy may take the form of, or be included in, a regional research and innovation (R&I) strategic policy framework.

To reach the end, the requirements and components of smart specialization have been identified based on the metasynthesis of previous research. Qualitative metasynthesis is an intentional and coherent approach to analyzing data across qualitative studies. It is a process that enables researchers to identify a specific research question and then search for, select, appraise, summarize, and combine qualitative evidence to address the research question. This process uses rigorous qualitative methods to synthesize existing qualitative studies to construct greater meaning through an interpretative process.  In this study, 119 articles from Scopus, Emerald, ScienceDirect, Springer, and Proquest databases were examined. After three screening stages, 30 articles were identified for a more in-depth analysis, which resulted in a framework for implementing smart specialization strategy.

Innovation is a process dependent on geography and region in which local capacities such as resources, institutions, public and cultural values are the main drivers. therefore, the present article, by reviewing previous studies, has provided a framework for smartening regional innovation policies. Based on the proposed framework, regional innovation policies are formulated according to local capabilities and capacities.

this article seeks to provide a framework for designing regional innovation policies based on smart specialization strategies using the inductive method. To this end, the requirements and components of smart specialization have been identified based on the metasynthesis of previous research. The framework was proposed with the following components:(1) Examining the current situation of the region and analyzing the capabilities of the region; (2) Identify smart specialization priorities; and (3) Smart specialization operational planning.

Despite the growing expenditure of R&D caused the development of a knowledge-based approach to economic development, no country is able to research on the edge of science and technology in all areas of research, due to the increasing diversity and the nature of the interdisciplinary activities of research and innovation and thus, priority-setting has a significant role in science, technology, and innovation policy. In this research, various dimensions (definitions, types, theoretical models, process, history, challenges and methods) of STI priority-setting have been studied. Then, Smart Specialization has been introduced as the most up-to-date strategy based on the STI priority-setting, and in the end the prioritizing experience in Iran’s comprehensive scientific map has been evaluated with a critical approach. The study indicates that all mechanisms for priority-setting are used simultaniously according to the path-dependency of priority formation, the historical stickiness of institutions, and the diffrentiated rationales behind government interventions; and the problem is the combination pattern of mechanisms. However, the overall structure of priority-setting among different countries is converging to re-emphasizing on functional priorities, systematic approach to strategy and prioritization, combination of top-down and bottom-up approaches, and division of work among various actors involving in the priority-setting proccess.