Bibliometry Technique and Software for Patent Intelligence Mining

2007 ◽  
pp. 241-269
Author(s):  
H. Dou ◽  
J. Dou
Keyword(s):  
Knowledge Creation ◽  
Swot Analysis ◽  
Decision Makers ◽  
Competitive Intelligence ◽  
Expert Evaluation ◽  
Treatment Techniques ◽  
Web Information ◽  
Science Technology ◽  
Technology And Economy

This chapter introduces the bibliometry treatment techniques as a way to obtain elaborated information for competitive intelligence experts. It presents various bibliometry treatments using software able to analyze patent databases as well as commercial database extracts or Web information. With the growing complexity of science, technology, and economy it is of a prime importance for decision makers and strategists to have the best possible view of their environment. The bibliometry analysis provides different ways to cross information, build lists, charts, matrices, and networks. In the process of knowledge creation the bibliometry analysis can be used to provide new set of information from large mount of data. This information can be used for brain storming, SWOT analysis, and expert evaluation.

Scientific methodological approaches to the developmentof strategy of sustainable development of territorial communities

2019 ◽  
pp. 71-80
Author(s):  
Olexander Martynyuk ◽  
Inna Studennikova ◽  
Volodymyr Hromozdov ◽  
Victor Maliarevsky
Keyword(s):  
Sustainable Development ◽  
Comparative Analysis ◽  
Empirical Research ◽  
Working Group ◽  
Swot Analysis ◽  
Expert Evaluation ◽  
Analysis Methods ◽  
Methodological Approaches ◽  
Structured Approach ◽  
Developing Strategies

The purpose of the article is to propose methodological assistance to the selfgovernment system in developing strategies for sustainable development of territorialcommunities. Methodology. The research used the works of foreign and domesticspecialists involved in the development of sustainable development strategies.Authors applied methods of scientific comparative analysis, general scientificmethods of theoretical, empirical research and a method of expert evaluation. Scientificnovelty includes clear well-structured approach to identification of what is neededto develop a strategy of territorial communities’ development, important tasks fora working group, SWOT analysis methods, what should be analysed to achievestrategic goals and consistency of organizational details. Conclusions. Complianceto the proposed scientific methodological approaches to the development of thestrategies of territorial communities’ sustainable development enables the communityto obtain a strategic algorithm for its sustainable development.

scholarly journals An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2754 ◽  
Author(s):  
Indre Siksnelyte ◽  
Edmundas Zavadskas ◽  
Dalia Streimikiene ◽  
Deepak Sharma
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Sustainable Energy ◽  
Energy Development ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Energy Sustainability ◽  
Widespread Application ◽  
Sustainability Problems ◽  
Scientific Achievements

The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues. In this study, 105 published papers from the Web of Science Core Collection (WSCC) database are selected and reviewed, from 2004 to 2017, related to energy sustainability issues and MCDM methods. All the selected papers were categorized into 9 fields by the application area and into 10 fields by the used method. After the categorization of the scientific articles and detailed analysis, SWOT analysis of MCDM approaches in dealing with sustainable energy development issues is provided. The widespread application and use of MCDM methods confirm that MCDM methods can help decision-makers in solving energy sustainability problems and are highly popular and used in practice.

scholarly journals Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Developed Countries ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Science Technology ◽  
Levels Of Automation ◽  
Technology And Economy ◽  
The Impact

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

Knowledge Assets, E-Networks and Trust

2010 ◽  
pp. 2215-2225
Author(s):  
G. Scott Erickson ◽  
Helen N. Rothberg
Keyword(s):  
Knowledge Management ◽  
Enterprise Systems ◽  
Decision Makers ◽  
Knowledge Development ◽  
Competitive Intelligence ◽  
Knowledge Assets ◽  
Individual Firm ◽  
External Knowledge ◽  
Knowledge Protection

Development of knowledge assets and protection of knowledge assets are both complementary and competing concerns for the contemporary business. Each has specific issues related to trust that need to be understood and addressed before an individual firm launches a knowledge management initiative. Further, with important contemporary trends such as enterprise systems, external knowledge management networks, and aggressive competitive intelligence efforts, decision-makers must increasingly evaluate their circumstances and establish the appropriate levels of trust between individuals and the organization and between cooperating organizations. This chapter reviews and elaborates on such issues. It then passes to a consideration of how these concerns might vary by industry, presenting selected data on knowledge development and knowledge protection conditions in a variety of industries.

Knowledge Creation in Export Trading

2004 ◽  
Vol 03 (04) ◽  
pp. 297-316
Author(s):  
Lisa Soon ◽  
Yi-Ping Phoebe Chen ◽  
Alan Underwood
Keyword(s):  
Knowledge Creation ◽  
Competitive Intelligence ◽  
Local Market ◽  
Collective Knowledge ◽  
Knowledge Conversion ◽  
Management Processes ◽  
Organizational Knowledge Creation ◽  
New Knowledge ◽  
Different Types ◽  
Market Needs

In this research, we investigate how knowledge in the export trading industry is created. Prior research focuses on general businesses in local market environment. This research specifically focuses on export trading with overseas market needs. These needs require attention to different types of control and requirements beyond that of a local market. In this paper, Nonaka et al.'s theory of organizational knowledge creation is explored. We specifically examine the processes of knowledge creation through four modes of knowledge conversion. Empirical investigations in export trading organizations are conducted. We examine how export firms obtain new knowledge for innovations based on collective knowledge being used in export trading. The findings indicate that the knowledge management processes in export firms allow for the creation of new knowledge. The collective knowledge (from groups and individuals) forms a basis for innovations and competitive intelligence. This collective knowledge also creates foresight, insight and hindsight in the export trading context.

scholarly journals Towards a universal competitive intelligence process model

2013 ◽  
Vol 15 (2) ◽  
Author(s):  
Rene Pellissier ◽  
Tshilidzi E. Nenzhelele
Keyword(s):  
Content Analysis ◽  
Current Literature ◽  
Search Engines ◽  
Process Model ◽  
Relevant Literature ◽  
Decision Makers ◽  
Process Models ◽  
Competitive Intelligence ◽  
Competitive Edge ◽  
Do So

Background: Competitive intelligence (CI) provides actionable intelligence, which provides a competitive edge in enterprises. However, without proper process, it is difficult to develop actionable intelligence. There are disagreements about how the CI process should be structured. For CI professionals to focus on producing actionable intelligence, and to do so with simplicity, they need a common CI process model.Objectives: The purpose of this research is to review the current literature on CI, to look at the aims of identifying and analysing CI process models, and finally to propose a universal CI process model.Method: The study was qualitative in nature and content analysis was conducted on all identified sources establishing and analysing CI process models. To identify relevant literature, academic databases and search engines were used. Moreover, a review of references in related studies led to more relevant sources, the references of which were further reviewed and analysed. To ensure reliability, only peer-reviewed articles were used.Results: The findings reveal that the majority of scholars view the CI process as a cycle of interrelated phases. The output of one phase is the input of the next phase.Conclusion: The CI process is a cycle of interrelated phases. The output of one phase is the input of the next phase. These phases are influenced by the following factors: decision makers, process and structure, organisational awareness and culture, and feedback.

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