Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history

Sarin, S; Haon, C; Belkhouja, M; Mas-Tur, A; Roig-Tierno, N; Sego, T; Porter, A; Merigó, JM; Carley, S

Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history

Sarin, S Haon, C Belkhouja, M Mas-Tur, A Roig-Tierno, N Sego, T Porter, A Merigó, JM Carley, S

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Technological Forecasting and Social Change, 2020, 160, pp. 120210-120210
Issue Date:: 2020-11-01

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Field	Value	Language
dc.contributor.author	Sarin, S
dc.contributor.author	Haon, C
dc.contributor.author	Belkhouja, M
dc.contributor.author	Mas-Tur, A
dc.contributor.author	Roig-Tierno, N
dc.contributor.author	Sego, T
dc.contributor.author	Porter, A
dc.contributor.author	Merigó, JM
dc.contributor.author	Carley, S
dc.date.accessioned	2021-02-23T10:46:41Z
dc.date.available	2021-02-23T10:46:41Z
dc.date.issued	2020-11-01
dc.identifier.citation	Technological Forecasting and Social Change, 2020, 160, pp. 120210-120210
dc.identifier.issn	0040-1625
dc.identifier.uri	http://hdl.handle.net/10453/146325
dc.description.abstract	© 2020 Technological Forecasting and Social Change (TF&SC) celebrates its fiftieth anniversary this year. The anniversary represents an appropriate time for an introspective analysis of the journal's history and impact. This study presents a bibliometric analysis of TF&SC in terms of how often TF&SC is cited by other journals (citation outflow), how often other journals are cited by TF&SC (citation inflow), citations by Web of Science and SCImago disciplinary categories, most-cited articles in TF&SC, co-citation of journals, and co-occurrence of author keywords. Analysis is conducted by using the Web of Science (WOS) database and Visualization of Similarities (VOS) viewer software. The incoming versus outgoing citation patterns identified here suggest an asymmetry in the knowledge flows of TF&SC. Papers published in TF&SC have increasingly cited knowledge from journals in Technology and Innovation Management (TIM), Engineering, and Decision Sciences, but the journal impacts a different set of disciplinary categories such as Energy, Environmental Sciences, and Social Sciences. From 1969–2018, Innovation, Foresight and Forecasting feature as the most popular keywords. Focus on topics such as Patents/Patent Analysis, Climate Change, Sustainability, and Energy seems to have intensified in the last decade. Findings suggest that focus on two countries of interest, India and China, is emerging in research published in TF&SC. Different regions of the world can be expected to place differential emphasis on various topics based on their socioeconomic-technological environments. The journal needs to be receptive to this diversity of perspectives from a growing community of scholars worldwide.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Technological Forecasting and Social Change
dc.relation.isbasedon	10.1016/j.techfore.2020.120210
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	10 Technology, 14 Economics, 15 Commerce, Management, Tourism and Services
dc.subject.classification	Science Studies
dc.title	Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history
dc.type	Journal Article
utslib.citation.volume	160
utslib.for	10 Technology
utslib.for	14 Economics
utslib.for	15 Commerce, Management, Tourism and Services
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-02-23T10:46:33Z
pubs.publication-status	Published
pubs.volume	160

Abstract:

© 2020 Technological Forecasting and Social Change (TF&SC) celebrates its fiftieth anniversary this year. The anniversary represents an appropriate time for an introspective analysis of the journal's history and impact. This study presents a bibliometric analysis of TF&SC in terms of how often TF&SC is cited by other journals (citation outflow), how often other journals are cited by TF&SC (citation inflow), citations by Web of Science and SCImago disciplinary categories, most-cited articles in TF&SC, co-citation of journals, and co-occurrence of author keywords. Analysis is conducted by using the Web of Science (WOS) database and Visualization of Similarities (VOS) viewer software. The incoming versus outgoing citation patterns identified here suggest an asymmetry in the knowledge flows of TF&SC. Papers published in TF&SC have increasingly cited knowledge from journals in Technology and Innovation Management (TIM), Engineering, and Decision Sciences, but the journal impacts a different set of disciplinary categories such as Energy, Environmental Sciences, and Social Sciences. From 1969–2018, Innovation, Foresight and Forecasting feature as the most popular keywords. Focus on topics such as Patents/Patent Analysis, Climate Change, Sustainability, and Energy seems to have intensified in the last decade. Findings suggest that focus on two countries of interest, India and China, is emerging in research published in TF&SC. Different regions of the world can be expected to place differential emphasis on various topics based on their socioeconomic-technological environments. The journal needs to be receptive to this diversity of perspectives from a growing community of scholars worldwide.

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http://hdl.handle.net/10453/146325