scholarly journals Bibliometric Analysis of Knowledge Networks and Creativity

2021 ◽  
Vol 16 (5) ◽  
pp. 35
Author(s):  
Dongxia Huo ◽  
Saranan Photchanachan
Keyword(s):  
Bibliometric Analysis ◽  
Research Literature ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Knowledge Map ◽  
Global Knowledge ◽  
Time Zone ◽  
Creativity Research ◽  
Publication Time ◽  
Analysis Of Knowledge

Despite the sharp increase in awareness of workplace knowledge networks and creativity research, no attention has been paid to objectively visualizing the evolution of this fast-growing area to complement prior qualitative reviews. This bibliometric analysis involves an examination of 341 global knowledge networks and creativity articles in management-related research in the Web of Science database. Using CiteSpace V visualization literature measurement software, the knowledge map of the knowledge networks and creativity research was drawn using the scientific metrology knowledge graph research method. We conduct Publication time analysis, country/region analysis, journal co-citation analysis, author co-citation, document co-citation, the time-zone visualization analysis on research literature in the field of knowledge networks and creativity, the major researchers and topics in the field of knowledge network, and creativity are clearly presented. Moreover, we summarize the developing trends of knowledge networks and creativity research. On this basis, our review demonstrates the systematic development of literature and identifies trends to advance knowledge networks and creativity research.

Global knowledge centrality: co-inventor collaboration with China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jessica Salmon ◽  
Salma Zaman ◽  
Emine Beyza Satoglu ◽  
Fernando Sanchez-Henriquez ◽  
Andres Velez-Calle
Keyword(s):  
The United States ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Institutional Factors ◽  
Partial Substitution ◽  
Global Knowledge ◽  
Data Set ◽  
Content Type ◽  
The Usa

PurposeThis paper examines the role of co-inventor collaboration with China and/or the USA on a country's increase in centrality in global knowledge networks. It also explores the role of specific institutional factors – corruption and intellectual property rights (IPR) protection – on this relationship.Design/methodology/approachIn the study, co-inventor data from the United States Patent and Trademark Office (USPTO) applications have been used to construct networks of technological knowledge collaboration at the country level over the years 2002–2015. Using eigenvector centrality as the dependent variable, the study uses fixed effect regression analyses on a panel of 171 countries, contributing to recent debates on knowledge networks and international cooperation.FindingsBuilding on research in economic development, innovation and social network theory, this research finds that co-patenting with Chinese inventors is positively related to a country's centrality in global knowledge networks and that this relationship is negatively moderated by collaboration with the current most central knowledge network – namely that of the USA – suggesting a substitution effect. It also finds a partial substitution between institutional factors, IPRs protection and transparency, and collaboration with China on a country's knowledge centrality.Practical implicationsRegarding policymakers, the findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions, especially emerging economies that want to increase their international knowledge network centrality.Originality/valueThis study creates a unique panel data set and extends the social networks approach in international business literature, focusing on institutional characteristics related to participation in knowledge networks.

scholarly journals Knowledge Network for Sustainable Local Development

2021 ◽  
Vol 13 (3) ◽  
pp. 1124
Author(s):  
Freddy Marín-González ◽  
Alexa Senior-Naveda ◽  
Mercy Narváez Castro ◽  
Alicia Inciarte González ◽  
Ana Judith Paredes Chacín
Keyword(s):  
Social Capital ◽  
Content Analysis ◽  
Local Development ◽  
Knowledge Exchange ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Deductive Inference ◽  
The Government ◽  
Exchange Network ◽  
The Relationship

This article aims to build a network for the exchange of knowledge between the government and production, community and university sectors for sustainable local development. To achieve this, the authors relied on the concepts of sustainable local development, social capital, the relationship between sectors or intersectorality, networks and interdisciplinary and transdisciplinary knowledge. Regarding the methodology, the abductive method was used. Under a documentary design, the research techniques were a content analysis of theoretical documents and the deductive inference technique. The construction of a knowledge exchange network for sustainable local development stands out as the result. It is concluded that knowledge networks for sustainable local development have positive implications in the establishment of alliances and links between the sectors that make up society.

scholarly journals Firm’s strategic choices and network knowledge dynamics: how do they affect innovation?

2018 ◽  
Vol 22 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Jose Antonio Belso-Martinez ◽  
Isabel Diez-Vial
Keyword(s):  
Absorptive Capacity ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Strategic Choices ◽  
Network Growth ◽  
Content Type ◽  
Endogenous Factors ◽  
The Impact ◽  
Innovative Capacity ◽  
Over Time

Purpose This paper aims to explain how the evolution of knowledge networks and firms’ strategic choices affect innovation. Endogenous factors associated with a path-dependent evolution of the knowledge network are jointly considered with a firm’s development of international relationships and increasing internal absorptive capacity over time. Design/methodology/approach In a biotech cluster, the authors gathered data on the firms’ characteristics and network relationships by asking about the technological knowledge they received in the cluster in 2007 and 2012 – “roster-recall” method. Estimation results were obtained using moderated regression analysis. Findings Firms that increase their involvement in knowledge networks over time also tend to increase their innovative capacity. However, efforts devoted to building international links or absorptive capacity negatively moderate the impact of network growth on innovation. Practical implications Practitioners have two alternative ways of increasing innovation inside knowledge networks: they can increase their centrality by developing their knowledge network interactions or invest in developing their internal absorptive capacity and new international sources of knowledge. Investing in both of these simultaneously does not seem to improve a firm’s innovative capacity. Originality/value Coupling firms’ strategic options with knowledge network dynamics provide a more complete way of explaining how firms can improve their innovative capacity.

scholarly journals A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry

2017 ◽  
Vol 9 (4) ◽  
pp. 37-48 ◽  
Author(s):  
Huilan Chen ◽  
Shaofeng Liu ◽  
Festus Oderanti
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Current Knowledge ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Food Supply Chain ◽  
Topic Area ◽  
Chain Management ◽  
Lean Supply Chain

Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.

scholarly journals Research on Dynamic Knowledge Map Service System Using Computer Big Data

2021 ◽  
Vol 2083 (4) ◽  
pp. 042001
Author(s):  
Nan Zhang ◽  
Wenqiang Zhang ◽  
Yingnan Shang
Keyword(s):  
Big Data ◽  
Data Model ◽  
Structured Data ◽  
Knowledge Network ◽  
Practical Significance ◽  
Data Publishing ◽  
Knowledge Map ◽  
Related Data ◽  
Construction Of Knowledge ◽  
Map Service

Abstract The emergence of computer big data related data provides a new method for the construction of knowledge links in the knowledge map. This realizes an objective knowledge network with practical significance that is easier to be understood by machines. The article combines the four principles of linked data publishing content objects and their semantic characteristics, and uses the RDF data model to convert unstructured data on the Internet and structured data that adopts different standards into unified standard structured data for association. The system forms a huge knowledge map with semantics, intelligence, and dynamics.

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