Publication network visualization as an approach for interdisciplinary innovation management

2013 ◽  
Author(s):  
Anne Kathrin Schaar ◽  
Andre Calero Valdez ◽  
Martina Ziefle
Keyword(s):  
Innovation Management ◽  
Network Visualization

Management of sustainable innovation for national development

2018 ◽  
Vol 2 (2) ◽  
pp. 21
Author(s):  
Alvaro Cristian Sánchez Mercado
Keyword(s):  
Civil Society ◽  
Technological Development ◽  
Innovation Management ◽  
Science And Technology ◽  
National Development ◽  
Main Research ◽  
The World ◽  
End Use ◽  
Research Centres ◽  
Scientific And Technological Development

Throughout history the development of the countries has been generated mainly by the impulse in two complementary axes: Science and Technology, and Trade. At present we are experiencing an exponential scientific and technological development and the Economy in all its fronts is driven by the intensive application of technology. According to these considerations, this research tries to expose the development of Innovation Management as a transversal mechanism to promote the different socioeconomic areas and especially those supported by engineering. To this end, use will be made of Technology Watch in order to identify the advances of the main research centres related to innovation in the world. Next, there will be an evaluation of the main models of Innovation Management and related methodologies that expose some of the existing Innovation Observatories in the world to finally make a proposal for Innovation Management applicable to the reality of Peru, so that it can be taken into consideration by stakeholders (Government, Academy, Business and Civil Society) committed to Innovation Management in the country

Innovation Management In The Knowledge-Based Society

2014 ◽  
Vol 1 (1) ◽  
pp. 227-232
Author(s):  
Ioan Moise Achim ◽  
Teodora Popescu ◽  
Manuella Kadar
Keyword(s):  
Innovation Management ◽  
Systemic Approach ◽  
Modern World ◽  
Research Development ◽  
Global Level ◽  
National Innovation Systems ◽  
Knowledge Based ◽  
Research And Innovation ◽  
Insight Into ◽  
Innovation Policies

AbstractThe aim of this paper is to offer an insight into innovation management in the knowledge-based society. It sets off by explaining the concept of knowledge-based society and why it bears relevance for the modern world. Next, innovation and related concepts are introduced. Furthermore, a presentation of National Innovation Systems (NIS) is made, their history and role in the understanding of a systemic approach to research, development and innovation at both national and global level. Next, the OECD main guidelines for the elaboration of national innovation policies are presented. Last but not least, an analysis of the current situation of research and innovation in Romania is also included.

Document- and Keyword-based Author Co-citation Analysis

2018 ◽  
Vol 2 (2) ◽  
pp. 70-82 ◽  
Author(s):  
Binglu Wang ◽  
Yi Bu ◽  
Win-bin Huang
Keyword(s):  
Citation Analysis ◽  
Semantic Similarity ◽  
Method Validation ◽  
New Method ◽  
Global Network ◽  
Network Visualization ◽  
Knowledge Domain ◽  
Knowledge Domains ◽  
Domain Mapping ◽  
The Relationship

AbstractIn the field of scientometrics, the principal purpose for author co-citation analysis (ACA) is to map knowledge domains by quantifying the relationship between co-cited author pairs. However, traditional ACA has been criticized since its input is insufficiently informative by simply counting authors’ co-citation frequencies. To address this issue, this paper introduces a new method that reconstructs the raw co-citation matrices by regarding document unit counts and keywords of references, named as Document- and Keyword-Based Author Co-Citation Analysis (DKACA). Based on the traditional ACA, DKACA counted co-citation pairs by document units instead of authors from the global network perspective. Moreover, by incorporating the information of keywords from cited papers, DKACA captured their semantic similarity between co-cited papers. In the method validation part, we implemented network visualization and MDS measurement to evaluate the effectiveness of DKACA. Results suggest that the proposed DKACA method not only reveals more insights that are previously unknown but also improves the performance and accuracy of knowledge domain mapping, representing a new basis for further studies.

Innovation Management

2018 ◽  
Vol 9 (1) ◽  
pp. 50-53
Author(s):  
Ivaylo Staribratov ◽  
Keyword(s):  
Innovation Management
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