Applying TRIZ Tools in Product Foresight and Technology Forecasting: A Case Study from Industry

2021 ◽  
pp. 14-26
Author(s):  
Martin Kiesel ◽  
Jens Hammer ◽  
Alexander Kiesel
Keyword(s):  
Technology Forecasting

Technology forecasting: A case study of computational technologies

2019 ◽  
Vol 143 ◽  
pp. 181-189 ◽  
Author(s):  
Amol C. Adamuthe ◽  
Gopakumaran T. Thampi
Keyword(s):  
Technology Forecasting

scholarly journals A Unified Approach for Taxonomy-Based Technology Forecasting

2011 ◽  
pp. 178-197
Author(s):  
Andreas Henschel ◽  
Erik Casagrande ◽  
Wei Lee Woon ◽  
Isam Janajreh ◽  
Stuart Madnick
Keyword(s):  
Research Field ◽  
Waste To Energy ◽  
Scientific Publications ◽  
Technology Forecasting ◽  
Web Based ◽  
Area Of Interest ◽  
Research Domain ◽  
Data Acquisition Process ◽  
Growth Indicators

For decision makers and researchers working in a technical domain, understanding the state of their area of interest is of the highest importance. For this reason, we consider in this chapter, a novel framework for Web-based technology forecasting using bibliometrics (i.e. the analysis of information from trends and patterns of scientific publications). The proposed framework consists of a few conceptual stages based on a data acquisition process from bibliographic online repositories: extraction of domain-relevant keywords, the generation of taxonomy of the research field of interests and the development of early growth indicators which helps to find interesting technologies in their first phase of development. To provide a concrete application domain for developing and testing our tools, we conducted a case study in the field of renewable energy and in particular one of its subfields: Waste-to-Energy (W2E). The results on this particular research domain confirm the benefit of our approach.

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