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Computing Redundancy in Complementary and Supplementary Technologies Using TLC Indicators: A Theoretical Framework
- Source :
- 2019 Portland International Conference on Management of Engineering and Technology (PICMET).
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Technology redundancy is a powerful concept of strength of similar cord between adjacent technologies; we consider technology redundancy in the form of Complementarity and Supplementarity. In this research paper, we argue that innovation and technological forecasting are premised on the certain orderliness of its current five life cycle stages. The widespread approach of considering complementary and supplementary technologies and measuring technology life cycle (TLC) stages activities by its indicators especially patent applications have yielded to give successful innovations. This current research is based on the TLC and its different TLC stages by finding the indicators of the life cycle of thirteen technical indicators from the previous literature. The purpose of this research is to focus on the patentometrics index to identifying the TLC is constructed based on the patent citation network to identify its stages and patent family. We plan to undertake the technology development trajectory at different TLC stages construct the patentometrics indicators and compute the redundancy between technology complementarity, supplementarity, and knowledge flow to verify the framework given in this paper.
- Subjects :
- Process management
Computer science
05 social sciences
Orderliness
050905 science studies
Supplementarity
Patent citation
Product life-cycle management
Knowledge flow
Technology life cycle
0502 economics and business
Redundancy (engineering)
0509 other social sciences
050203 business & management
Technology forecasting
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 Portland International Conference on Management of Engineering and Technology (PICMET)
- Accession number :
- edsair.doi...........e6a349ee8138adb80b2c203680a7aa2b
- Full Text :
- https://doi.org/10.23919/picmet.2019.8893925