| Title |
Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses |
| ID_Doc |
19455 |
| Authors |
Kajikawa, Y; Mejia, C; Wu, MJ; Zhang, Y |
| Title |
Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.techfore.2022.121877 |
| Abstract |
Technology and innovation management is vital emerging research fields. Technological Forecasting and Social Change (TFSC) has worked as a major forum in this field and is currently regarded as the leading journal. However, an increasing number of publications hamper a comprehensive understanding of the field and journal. In this study, we conducted a systematic review of TFSC with the support of bibliometric analysis. We used citation network analysis and topic models to extract research landscapes and trends. Our results illustrate how technology and innovation management research has developed through the interactions among theories, methods, and cases, both qualitatively and quantitatively. Based on our analysis and findings, we discuss the major branches of research, topics in the journal, and future perspectives. |
| Author Keywords |
Citation network analysis; Topic analysis; Technology and innovation management; Technological forecasting; Social change |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000838036600002 |
| WoS Category |
Business; Regional & Urban Planning |
| Research Area |
Business & Economics; Public Administration |
| PDF |
http://manuscript.elsevier.com/S0040162522004012/pdf/S0040162522004012.pdf
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