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Development trajectory and research themes of foresight
This study integrates the edge-betweenness clustering technique and key-route main path analysis to analyse the ‘broad foresight’ literature. We retrieve the relevant papers from the Thomson Reuters Web of Science databases and construct the citation network among them. The edge-betweenness clusteri...
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Published in: | Technological forecasting & social change 2016-11, Vol.112, p.347-356 |
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container_title | Technological forecasting & social change |
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creator | Lu, Louis Y.Y. Hsieh, Chih-Hung Liu, John S. |
description | This study integrates the edge-betweenness clustering technique and key-route main path analysis to analyse the ‘broad foresight’ literature. We retrieve the relevant papers from the Thomson Reuters Web of Science databases and construct the citation network among them. The edge-betweenness clustering identifies six research groups in the ‘broad foresight’ literature. Three major research groups and their major research themes are ‘technology foresight’, ‘futures studies’, and ‘technology forecasting’. The other three are ‘scenario analysis’, ‘future-oriented technology analysis (FTA)’, and ‘technology forecasting using data envelopment analysis (TFDEA)’. We apply main path analysis to explore the overall development trajectory and the linkage among different research groups. We believe that the results are valuable for those who are interested in comprehending the overall development picture of ‘broad foresight’. The approach used herein is also applicable to other fields.
•A unique approach is adopted to identify the major research themes of the ‘broad foresight’.•1439 papers covering 1977 to 2015 from WOS are analyzed.•Main path analysis and edge-betweenness clustering are adopted.•Three major and three medium-sized research themes are revealed.•Overall development trajectories of broad foresight are presented. |
doi_str_mv | 10.1016/j.techfore.2016.07.040 |
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•A unique approach is adopted to identify the major research themes of the ‘broad foresight’.•1439 papers covering 1977 to 2015 from WOS are analyzed.•Main path analysis and edge-betweenness clustering are adopted.•Three major and three medium-sized research themes are revealed.•Overall development trajectories of broad foresight are presented.</description><identifier>ISSN: 0040-1625</identifier><identifier>EISSN: 1873-5509</identifier><identifier>DOI: 10.1016/j.techfore.2016.07.040</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Citation network analysis ; Cluster analysis ; Clustering ; Data analysis ; Data envelopment analysis ; Development trajectory ; Forecasting ; Forecasting techniques ; Foresight ; Futures studies ; Linkages ; Main path analysis ; Networks ; Operations research ; R&D ; Research & development ; Research themes ; Studies ; Technological forecasting ; Technology ; Technology assessment ; Trajectories</subject><ispartof>Technological forecasting & social change, 2016-11, Vol.112, p.347-356</ispartof><rights>2016 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. Nov 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-bf428dc4a0736ca212d55f9515ac103c538bf41acc970b8c3aa3afc032242abb3</citedby><cites>FETCH-LOGICAL-c404t-bf428dc4a0736ca212d55f9515ac103c538bf41acc970b8c3aa3afc032242abb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,33774</link.rule.ids></links><search><creatorcontrib>Lu, Louis Y.Y.</creatorcontrib><creatorcontrib>Hsieh, Chih-Hung</creatorcontrib><creatorcontrib>Liu, John S.</creatorcontrib><title>Development trajectory and research themes of foresight</title><title>Technological forecasting & social change</title><description>This study integrates the edge-betweenness clustering technique and key-route main path analysis to analyse the ‘broad foresight’ literature. We retrieve the relevant papers from the Thomson Reuters Web of Science databases and construct the citation network among them. The edge-betweenness clustering identifies six research groups in the ‘broad foresight’ literature. Three major research groups and their major research themes are ‘technology foresight’, ‘futures studies’, and ‘technology forecasting’. The other three are ‘scenario analysis’, ‘future-oriented technology analysis (FTA)’, and ‘technology forecasting using data envelopment analysis (TFDEA)’. We apply main path analysis to explore the overall development trajectory and the linkage among different research groups. We believe that the results are valuable for those who are interested in comprehending the overall development picture of ‘broad foresight’. The approach used herein is also applicable to other fields.
•A unique approach is adopted to identify the major research themes of the ‘broad foresight’.•1439 papers covering 1977 to 2015 from WOS are analyzed.•Main path analysis and edge-betweenness clustering are adopted.•Three major and three medium-sized research themes are revealed.•Overall development trajectories of broad foresight are presented.</description><subject>Citation network analysis</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Data analysis</subject><subject>Data envelopment analysis</subject><subject>Development trajectory</subject><subject>Forecasting</subject><subject>Forecasting techniques</subject><subject>Foresight</subject><subject>Futures studies</subject><subject>Linkages</subject><subject>Main path analysis</subject><subject>Networks</subject><subject>Operations research</subject><subject>R&D</subject><subject>Research & development</subject><subject>Research themes</subject><subject>Studies</subject><subject>Technological forecasting</subject><subject>Technology</subject><subject>Technology assessment</subject><subject>Trajectories</subject><issn>0040-1625</issn><issn>1873-5509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNqFkEtLxDAQgIMouK7-BSl48dI6efVxU9YnLHjRc0jTqW1pmzXJLvjvzbJ68eJpmOGb10fIJYWMAs1vhiyg6VrrMGMxz6DIQMARWdCy4KmUUB2TBcRSSnMmT8mZ9wMAFLzMF6S4xx2OdjPhHJLg9IAmWPeV6LlJHHrUznRJ6HBCn9g22W_x_UcXzslJq0ePFz9xSd4fH95Wz-n69elldbdOjQAR0roVrGyM0HFdbjSjrJGyrSSV2lDgRvIyIlQbUxVQl4ZrzXVrgDMmmK5rviTXh7kbZz-36IOaem9wHPWMdusVLYUsKaOURfTqDzrYrZvjdZHirISKiSJS-YEyznrvsFUb10_afSkKau9TDerXp9r7VFCoKC823h4aMb6769Epb3qcDTa9i9JUY_v_RnwDH66BRw</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Lu, Louis Y.Y.</creator><creator>Hsieh, Chih-Hung</creator><creator>Liu, John S.</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U4</scope><scope>8FD</scope><scope>BHHNA</scope><scope>DWI</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>WZK</scope></search><sort><creationdate>20161101</creationdate><title>Development trajectory and research themes of foresight</title><author>Lu, Louis Y.Y. ; Hsieh, Chih-Hung ; Liu, John S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-bf428dc4a0736ca212d55f9515ac103c538bf41acc970b8c3aa3afc032242abb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Citation network analysis</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Data analysis</topic><topic>Data envelopment analysis</topic><topic>Development trajectory</topic><topic>Forecasting</topic><topic>Forecasting techniques</topic><topic>Foresight</topic><topic>Futures studies</topic><topic>Linkages</topic><topic>Main path analysis</topic><topic>Networks</topic><topic>Operations research</topic><topic>R&D</topic><topic>Research & development</topic><topic>Research themes</topic><topic>Studies</topic><topic>Technological forecasting</topic><topic>Technology</topic><topic>Technology assessment</topic><topic>Trajectories</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Louis Y.Y.</creatorcontrib><creatorcontrib>Hsieh, Chih-Hung</creatorcontrib><creatorcontrib>Liu, John S.</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Technology Research Database</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Technological forecasting & social change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Louis Y.Y.</au><au>Hsieh, Chih-Hung</au><au>Liu, John S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development trajectory and research themes of foresight</atitle><jtitle>Technological forecasting & social change</jtitle><date>2016-11-01</date><risdate>2016</risdate><volume>112</volume><spage>347</spage><epage>356</epage><pages>347-356</pages><issn>0040-1625</issn><eissn>1873-5509</eissn><abstract>This study integrates the edge-betweenness clustering technique and key-route main path analysis to analyse the ‘broad foresight’ literature. We retrieve the relevant papers from the Thomson Reuters Web of Science databases and construct the citation network among them. The edge-betweenness clustering identifies six research groups in the ‘broad foresight’ literature. Three major research groups and their major research themes are ‘technology foresight’, ‘futures studies’, and ‘technology forecasting’. The other three are ‘scenario analysis’, ‘future-oriented technology analysis (FTA)’, and ‘technology forecasting using data envelopment analysis (TFDEA)’. We apply main path analysis to explore the overall development trajectory and the linkage among different research groups. We believe that the results are valuable for those who are interested in comprehending the overall development picture of ‘broad foresight’. The approach used herein is also applicable to other fields.
•A unique approach is adopted to identify the major research themes of the ‘broad foresight’.•1439 papers covering 1977 to 2015 from WOS are analyzed.•Main path analysis and edge-betweenness clustering are adopted.•Three major and three medium-sized research themes are revealed.•Overall development trajectories of broad foresight are presented.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.techfore.2016.07.040</doi><tpages>10</tpages></addata></record> |
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subjects | Citation network analysis Cluster analysis Clustering Data analysis Data envelopment analysis Development trajectory Forecasting Forecasting techniques Foresight Futures studies Linkages Main path analysis Networks Operations research R&D Research & development Research themes Studies Technological forecasting Technology Technology assessment Trajectories |
title | Development trajectory and research themes of foresight |
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