A framework for technology forecasting and visualization

This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information regarding trends and patterns of publication. While using bibliometric techn...

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Bibliographic Details
Main Authors: Woon, Wei Lee (Author), Henschel, Andreas (Author), Madnick, Stuart E. (Contributor)
Other Authors: Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-07-25T18:42:50Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Woon, Wei Lee  |e author 
100 1 0 |a Sloan School of Management  |e contributor 
100 1 0 |a Madnick, Stuart E.  |e contributor 
100 1 0 |a Madnick, Stuart E.  |e contributor 
700 1 0 |a Henschel, Andreas  |e author 
700 1 0 |a Madnick, Stuart E.  |e author 
245 0 0 |a A framework for technology forecasting and visualization 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2012-07-25T18:42:50Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/71808 
520 |a This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information regarding trends and patterns of publication. While using bibliometric techniques in this way is not a new idea, the proposed approach extends previous studies in a number of important ways. Firstly, instead of being purely exploratory, the focus of our research has been on developing techniques for detecting technologies that are in the early growth phase, characterized by a rapid increase in the number of relevant publications. Secondly, to increase the reliability of the forecasting effort, we propose the use of automatically generated keyword taxonomies, allowing the growth potentials of subordinate technologies to be aggregated into the overall potential of larger technology categories. A proof-of-concept implementation of each component of the framework is presented, and is used to study the domain of renewable energy technologies. Results from this analysis are presented and discussed. 
546 |a en_US 
655 7 |a Article 
773 |t International Conference on Innovations in Information Technology, 2009