Abstract
[Purpose/Significance] From the change of the research data and research methods, this paper makes a systematic analysis of technology forecasting research from the perspective of data analytics.[Method/Process] In order to clarify its development process, this research divided the technology forecasting research based on data analytics into four stages of nascent phase (1981-1991), growth phase (1992-2010), expansion phase (2011-2017) and bottleneck phase (2018-present), and made an in-depth analysis of the research fronts under each stage through the comprehensive use of bibliometrics and knowledge map analysis tools.[Result/Conclusion] The results show that technology forecasting has been moving towards a multi-level and systematic direction, but it has not yet completed the leap from 'how technology may develop' to 'how technology should develop' in complex environments. Building a scientific data sharing platform and intelligent analysis software and giving full play to the role of government macro-control will be the focus of future attention.
| Translated title of the contribution | Research Status, Trends and Future Thinking of Technology Forecasting: From the Perspective of Data Analytics |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 4-18 |
| Number of pages | 15 |
| Journal | Library and Information Service |
| Volume | 66 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - May 2022 |
| Externally published | Yes |