Abstract

The statistical analysis of academic literature, also known as “bibliometrics”, is being increasingly applied to analyse research trends, to identify emerging areas of science and to fi nd out where and how often specifi c articles are cited. The aim of this study was to identify technological innovation trend patterns in the aerospace sector applying bibliometric analysis over the period 2008 – 2015. In this study the keywords space technology, satellite, space launch vehicle, spacecraft, rocket and space station were used to scrutinize the database Web of Science (ISI). The obtained records were analysed using the Patent Insight Pro software (2015). It was observed that the researches related to aerospace technological development has been focused in satellites, giving also some directions for satellite launch vehicles. Bibliometric analysis revealed concern on new lowcost technologies development, and the applied logistic fi t suggests that over the next fi ve years the continuity on new space technologies development will be mostly related to small satellites, with also contributions associated with high-resolution imagery in order to improve Earth observation in low orbit.

Highlights

  • In recent decades, the production of knowledge and technological innovation have been dictated by the countries’ development policies, making innovation the vehicle of transformation and enrichment of knowledge, contributing to improve the quality of society’s life (MCTI 2014).The development of technological monitoring, as a technological forecasting tool, trying to anticipate future events, has become of great value to the consolidation of the knowledge-based economy.One of the existing technological monitoring challenges is the search for patterns and explanations for unstructured behaviours

  • The use of tools developed by bibliometrics for measure and interpret the scientific and technological advances, depending on the examined sources, allows the monitoring methodology to produce useful information about the research, development and innovation activities (Watts and Porter 1997)

  • Bibliometrics is the statistical analysis of bibliographic data including books, articles or other publications, measuring the scientific activity in a subject category, journal, country or other area of interest (Thomson Reuters 2008)

Read more

Summary

Introduction

The production of knowledge and technological innovation have been dictated by the countries’ development policies, making innovation the vehicle of transformation and enrichment of knowledge, contributing to improve the quality of society’s life (MCTI 2014).The development of technological monitoring, as a technological forecasting tool, trying to anticipate future events, has become of great value to the consolidation of the knowledge-based economy.One of the existing technological monitoring challenges is the search for patterns and explanations for unstructured behaviours. The production of knowledge and technological innovation have been dictated by the countries’ development policies, making innovation the vehicle of transformation and enrichment of knowledge, contributing to improve the quality of society’s life (MCTI 2014). The development of technological monitoring, as a technological forecasting tool, trying to anticipate future events, has become of great value to the consolidation of the knowledge-based economy. The use of tools developed by bibliometrics for measure and interpret the scientific and technological advances, depending on the examined sources, allows the monitoring methodology to produce useful information about the research, development and innovation activities (Watts and Porter 1997). Bibliometrics is the statistical analysis of bibliographic data including books, articles or other publications, measuring the scientific activity in a subject category, journal, country or other area of interest (Thomson Reuters 2008). It helps researchers to understand the developments in a field within the scope of the worldwide research community

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.