Personal Communication Ties and Organizational Collaborations in Networks of Science, Education, and Business

2018 ◽  
Vol 32 (3) ◽  
pp. 373-405
Author(s):  
Nikita Basov ◽  
Vera Minina
Keyword(s):  
Science Education ◽  
Network Analysis ◽  
Personal Communication ◽  
Personal Networks ◽  
Business Organizations ◽  
Innovation Cluster ◽  
Innovation Clusters

The literature suggests that the success of innovation clusters is based on personal networks that connect members of scientific, educational, and business organizations, stimulating more formalized cross-boundary collaborations between the three sectors. But it is still unclear if such organizational collaborations actually correspond with these personal ties and which aspects of personal communication are most strongly associated with organizational collaborations. To investigate these issues, the authors applied network analysis to study an innovation cluster in Algarve, Portugal. They found that cross-boundary organizational collaborations corresponded with personal ties. Moreover, they found that collaborations appeared to correlate most strongly with emotional attachments between individuals.

scholarly journals Usage of Terms “Science” and “Scientific Knowledge” in Nature of Science (NOS): Do Their Lexicons in Different Accounts Indicate Shared Conceptions?

2020 ◽  
Vol 10 (9) ◽  
pp. 252
Author(s):  
Ismo T. Koponen
Keyword(s):  
Science Education ◽  
Network Analysis ◽  
Nature Of Science ◽  
Scientific Knowledge ◽  
Social Embeddedness ◽  
Focal Points ◽  
Central Theme ◽  
Network Approach ◽  
Basic Vocabulary ◽  
Common Understanding

Nature of science (NOS) has been a central theme in science education and research on it for nearly three decades, but there is still debate on its proper focus and underpinnings. The focal points of these debates revolve around different ways of understanding the terms “science” and “scientific knowledge”. It is suggested here that the lack of agreement is at least partially related to and reflected as a lack of common vocabulary and terminology that would provide a shared basis for finding consensus. Consequently, the present study seeks motivation from the notions of centrality of lexicons in recognizing the identity of disciplinary communities and different schools of thought within NOS. Here, by using a network approach, we investigate how lexicons used by different authors to discuss NOS are confluent or divergent. The lexicons used in these texts are investigated on the basis of a network analysis. The results of the analysis reveal clear differences in the lexicons that are partially related to differences in views, as evident from the debates surrounding the consensus NOS. The most divergent views are related to epistemology, while regarding the practices and social embeddedness of science the lexicons overlap significantly. This suggests that, in consensus NOS, one can find much basis for converging views, with common understanding, where constructive communication may be possible. The basic vocabulary, in the form of a lexicon, can reveal much about the different stances and the differences and similarities between various disciplinary schools. The advantage of such an approach is its neutrality and how it keeps a distance from preferred epistemological positions and views of nature of knowledge.

scholarly journals Korea's Innovative Clusters and Development Strategies Focusing on the ‘Loosely Coupled’ Cooperation between the Daedeokinnopolis and the Pangyotechnovalley

2018 ◽  
Vol 7 (4.4) ◽  
pp. 21
Author(s):  
Won Il Lee ◽  
. .
Keyword(s):  
Development Strategy ◽  
National Level ◽  
Development Strategies ◽  
Current Status ◽  
Loosely Coupled ◽  
Innovation Cluster ◽  
Strategic Direction ◽  
Wide Scale ◽  
Set Up ◽  
Innovation Clusters

In this paper, I review current status and development strategies in Korean innovation cluster. In particular, I compared the innovation clusters of Daejeon and Gyeonggi - do, and examined the differences and ways of cooperation. Among Daejeon and Gyeonggi-province innovation clusters, the DaedeokInnopolis is focused on R & D and pursues technology commercialization in connection with venture companies. Pangyo Techno Valley is a state-of-the-art IT technology centered on high technology companies. If wide-scale cooperation measures are established between Daejeon and Gyeonggi-do clusters, which are different from each other in the process of formation and complexity, a great synergy will be created at the national level. The future development strategy will be derived by examining the representative innovation cluster in Korea. The first strategic direction is to set up a vision of 'loosely coupled' between the Daejeon and Gyeonggi-do innovation clusters. The second strategic direction is to promote 'loosely coupled' wide-area cooperation programs between clusters. The third strategic direction is to foster an open innovation venture ecosystem.  

scholarly journals INNOVATION CLUSTERS FORMATION AS AN INSTRUMENT OF EFFECTIVE ECONOMIC MANAGEMENT

2014 ◽  
pp. 88-95
Author(s):  
K. V. Sayapina
Keyword(s):  
International Experience ◽  
Economic Management ◽  
Innovation Cluster ◽  
Regional Cluster ◽  
Innovation Clusters

The nature of innovation cluster and its distinction from regional cluster on base of leading cluster theories’ analysis is explained. Foreign and Russian models of forming innovation clusters’ description is presented. Types of Russian innovation clusters with their appropriate problems and disadvantages are analyzed in comparison with international experience. Tendencies of innovation clusterization policy in states as an effective method of managing economy are underlined.

scholarly journals PUBLIC INFORMATION POLICY FOR THE DEVELOPMENT OF CLUSTER STRUCTURES IN THE ECONOMY OF UKRAINE

2020 ◽  
Vol 01 (01) ◽  
pp. 04-10
Author(s):  
Sergey Grivko
Keyword(s):  
Public Policy ◽  
Public Administration ◽  
Public Information ◽  
Information Policy ◽  
Information Support ◽  
Conceptual Approach ◽  
The Public ◽  
Innovation Cluster ◽  
Policy Information ◽  
Innovation Clusters

The peculiarities of public administration of the organizational process of the system for ensuring the development of cluster structures in the economy have been determined. The tasks of the public policy in the system of information support for the development of an innovation cluster and the use of corresponding information potential and intellectual capital have been identified. The problems and possible socio-economic conflicts in the system of implementation of the public policy on ensuring the development of the innovation cluster have been systematized. The conceptual approach to the process content of the public policy on information support for innovation clusters of the economy has been presented. The algorithm for implementing the public policy on information support for the development of innovation clusters has been proposed. The structure of the mechanism of public administration on the use of information resources for the development of innovation clusters in the economy of Ukraine has been proposed. It has been stated that the development and implementation of the public information policy for the development of clusters are based on the conceptual principles of their functioning, goals, and objectives, which are focused on the direct formation and implementation of the information potential of clustering participants. Keywords: public policy, information support, development, innovation clusters, mechanism, economy, public administration, clustering, development.

scholarly journals Synergistic effect in innovation clusters: essence and features of evaluation

2019 ◽  
pp. 4-12
Author(s):  
Ihor M. Kuksa ◽  
Olga P. Parkhomenko ◽  
Iryna A. Hnatenko ◽  
Viktoriia O. Rubezhanska
Keyword(s):  
Synergistic Effect ◽  
System Analysis ◽  
Research Abstract ◽  
Synergetic Effect ◽  
Visual Presentation ◽  
Cluster Development ◽  
Theoretical Substantiation ◽  
General Methodology ◽  
Innovation Cluster ◽  
Innovation Clusters

The purpose of the research. The purpose of the article is to determine the essence of the synergistic effect and to develop a common method for evaluating the phenomenon for further possible use in the analysis of the innovation cluster effectiveness. Methodology. In the course of the research, there were used general scientific theoretical methods: system analysis – to clarify the main categories of research; abstract-logical method – for realization of theoretical generalizations and conclusions about the essence of synergistic effect and peculiarities of its evaluation; graphical method – for visual presentation of theoretical and analytical material for the reflection of the main characteristics of synergetic effect in innovation clusters. Results. The article outlines the main characteristics of the innovation cluster and defines its role in formation of the competitive advantages for the national economy. The essence of the synergistic effect that arises in the process of interaction of innovation cluster participants is investigated. On the example of the functioning of large and small enterprises in the cluster the author illustrates schematically the positive synergistic effect of their interaction, and describes the main specific features of this effect. A general methodology for evaluating the synergistic effect in an innovation cluster is proposed based on grouping of the indicators system that will allow to evaluate the effectiveness of interaction processes between the innovation cluster participants. Practical meaning. The proposed general methodology for evaluating the synergistic effect in an innovation cluster can be used by its participants in the process of determining the effectiveness of their integration and developing appropriate measures to regulate the activity of the cluster. Prospects for further research. Carrying-out of the theoretical substantiation of the choice and calculation of certain indicators for the evaluation of the synergistic effect in the innovation cluster. Development of alternative forecasts for the innovation cluster development based on the results of the evaluation.

scholarly journals Measuring transnational social fields through binational link-tracing sampling

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253042
Author(s):  
Marian-Gabriel Hâncean ◽  
Miranda Jessica Lubbers ◽  
José Luis Molina
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Sampling Design ◽  
Personal Networks ◽  
Future Research ◽  
Structured Interviews ◽  
Face To Face ◽  
Social Fields ◽  
Transnational Social Fields ◽  
Layered Complex

We advance bi-national link-tracing sampling design, an innovative data collection methodology for sampling from so-called “transnational social fields”, i.e. transnational networks embedding migrants, returned migrants and non-migrants. This paper describes our contributions to this methodology and its empirical implementation, and evaluates the features of the resulting networks (sample), with the aim to guide future research. We performed 303 face-to-face structured interviews on sociodemographic variables, migration trajectories and personal networks of people living in a Romanian migration sending community (Dâmbovița) and in a migration receiving Spanish town (Castellón). Inter-connecting the personal networks, we built a multi-layered complex network structure embedding 4,855 nominated people, 5,477 directed ties (nominations) and 2,540 edges. Results indicate that the link-tracing nomination patterns are affected by sex and residence homophily. Our research contributes to the emerging efforts of applying social network analysis to the study of international migration.

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