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. Information thus obtained is a...
| Main Authors: | , , |
|---|---|
| Format: | Working Paper |
| Language: | en_US |
| Published: |
Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology
2011
|
| Online Access: | http://hdl.handle.net/1721.1/66563 |
| _version_ | 1826201732517986304 |
|---|---|
| author | Woon, Wei Lee Henschel, Andreas Madnick, Stuart |
| author_facet | Woon, Wei Lee Henschel, Andreas Madnick, Stuart |
| author_sort | Woon, Wei Lee |
| collection | MIT |
| description | 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. Information thus obtained is analyzed to predict probable future developments in the technological fields being studied. While using bibliometric techniques to study science and technology 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 aggregated into the overall potential of larger technology categories. As a demonstration, 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. |
| first_indexed | 2024-09-23T11:55:52Z |
| format | Working Paper |
| id | mit-1721.1/66563 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:55:52Z |
| publishDate | 2011 |
| publisher | Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/665632019-04-12T14:57:59Z A Framework for Technology Forecasting and Visualization Woon, Wei Lee Henschel, Andreas Madnick, Stuart 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. Information thus obtained is analyzed to predict probable future developments in the technological fields being studied. While using bibliometric techniques to study science and technology 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 aggregated into the overall potential of larger technology categories. As a demonstration, 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. 2011-10-24T20:54:21Z 2011-10-24T20:54:21Z 2009-09 Working Paper http://hdl.handle.net/1721.1/66563 en_US MIT Sloan School of Management Working Paper;4757-09 CISL Working Paper;2009-11 application/pdf Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| spellingShingle | Woon, Wei Lee Henschel, Andreas Madnick, Stuart A Framework for Technology Forecasting and Visualization |
| title | A Framework for Technology Forecasting and Visualization |
| title_full | A Framework for Technology Forecasting and Visualization |
| title_fullStr | A Framework for Technology Forecasting and Visualization |
| title_full_unstemmed | A Framework for Technology Forecasting and Visualization |
| title_short | A Framework for Technology Forecasting and Visualization |
| title_sort | framework for technology forecasting and visualization |
| url | http://hdl.handle.net/1721.1/66563 |
| work_keys_str_mv | AT woonweilee aframeworkfortechnologyforecastingandvisualization AT henschelandreas aframeworkfortechnologyforecastingandvisualization AT madnickstuart aframeworkfortechnologyforecastingandvisualization AT woonweilee frameworkfortechnologyforecastingandvisualization AT henschelandreas frameworkfortechnologyforecastingandvisualization AT madnickstuart frameworkfortechnologyforecastingandvisualization |