Forecasting emerging technologies: Use of bibliometrics and patent analysis
By Tugrul U. Daim, G. Rueda, H. Martin, P. Gerdsri. 2006
1,059 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management of Technology and Innovation, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/cd761fcc7db3352cf4613dd6ef5cbdedb6ced928
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In Economics and Econometrics
In Management of Technology and Innovation
In Management Science and Operations Research
Citations in the corpus
- Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030 (2017, background): “These scenarios of the future allow us to follow and understand different directions of possible development (Daim et al., 2006), especially recognizing the uncertain nature of some trajectories.”
- Directions in scenario planning literature – A review of the past decades (2010, background): “There is a proliferation of subjects, from change management (including learning organizations) [56, 57] to the impact of leading technological sectors in the economy, in particular, ICT-related industries [58, 59, 60, 61, 62, 63, 64].”
- An approach to discovering new technology opportunities: Keyword-based patent map approach (2009, methodology): “Some common bibliometric tools employed on patent databases have been authors, affiliations, technology field, cluster and factor analysis, citations and so on (Daim et al., 2006), and one of the most frequently adopted is citation analysis (Karki, 1997; Morris et al.”