TY - JOUR
T1 - Uncovering the Knowledge Flows and Intellectual Structures of Research in Technological Forecasting and Social Change: A Journey Through History
AU - Sarin, Shikhar
AU - Haon, Christophe
AU - Belkhouja, Mustapha
AU - Mas-Tur, Alicia
AU - Roig-Tierno, Norat
AU - Sego, Trina
AU - Porter, Alan
AU - Merigó, José M.
AU - Carley, Stephen
N1 - Sarin, Shikhar; Haon, Christophe; Belkhouja, Mustapha; Mas-Tur, Alicia; Roig-Tierno, Norat; Sego, Trina; Porter, Alan; Merigó, José M.; and Carley, Stephen. (2020). “Uncovering the Knowledge Flows and Intellectual Structures of Research in Technological Forecasting and Social Change: A Journey Through History”. Technological Forecasting and Social Change, 160, 120210. https://doi.org/10.1016/j.techfore.2020.120210
PY - 2020/11/1
Y1 - 2020/11/1
N2 - 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.
AB - 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.
KW - VOS Viewer
KW - Web of Science
KW - bibliometrics
KW - citation analysis
UR - https://scholarworks.boisestate.edu/marketing_facpubs/71
UR - https://doi.org/10.1016/j.techfore.2020.120210
M3 - Article
SN - 0040-1625
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
ER -