Forecasting the Translation Profession Development: Foresight Technology
DOI:
https://doi.org/10.7596/taksad.v8i4.2365Keywords:
Foresight technology, Foresight session, Translation profession development, Translator, Statutory regulations.Abstract
The article describes the results of the conducted research based on the foresight technology that is widely used for long-term forecasting, representing a way of building a coherent and balanced image of the future. It was the first Foresight session that was devoted to the translator’s profession in Russia. The participants tried to predict the future trends, technologies, possibilities and risks of the translator’s profession in the future (up to 2030). The session was not limited to common forecasting: the task was not only to imagine the future of the translation profession but also to suggest the actions needed to achieve positive results, i.e., participants not only designed the future but also considered possible ways of developing and stabilizing the translator’s profession.
The analysis of different foresight sessions in the field of education that were held in Russia, European Union, Great Britain, Canada, and the USA are also presented in the article.
References
Hines, A., & Bishop, P. J. (Eds.). (2006). Thinking about the future: Guidelines for strategic foresight. Washington, DC: Social Technologies.
Eto, H. (2003). The suitability of technology forecasting/foresight methods for decision systems and strategy: A Japanese view. Technological Forecasting and Social Change, 70(3), 231-249.
Postma, T. J., Alers, J. C., Terpstra, S., & Zuurbier, A. (2007). Medical technology decisions in The Netherlands: How to solve the dilemma of technology foresight versus market research? Technological Forecasting and Social Change, 74(9), 1823-1833.
Martin, B. R. (1995). Foresight in science and technology. Technology analysis & strategic management, 7(2), 139-168.
Martin, B. R., & Johnston, R. (1999). Technology foresight for wiring up the national innovation system: experiences in Britain, Australia, and New Zealand. Technological forecasting and social change, 60(1), 37-54.
Bezold, C. (2010). Lessons from using scenarios for strategic foresight. Technological forecasting and social change, 77(9), 1513-1518.
Martin, B. R. (1996). Technology foresight: capturing the benefits from science-related technologies. Research Evaluation, 6(2), 158-168.
Carlson, L. W. (2004). Using technology foresight to create business value. Research-Technology Management, 47(5), 51-60.
Meissner, D. (2012). Results and impact of national Foresight-studies. Futures, 44(10), 905-913.
Da Costa, O., Warnke, P., Cagnin, C., & Scapolo, F. (2008). The impact of foresight on policy-making: insights from the FORLEARN mutual learning process. Technology Analysis & Strategic Management, 20(3), 369-387.
Gurtov, V. A., Garifullina, N. Y., & Sigova, S. V. (2016). Forecasting recruitment needs of the Russian economy: Qualitative aspects. Studies on Russian Economic Development, 27(1), 68-75.
Anderson, J. (1997). Technology foresight for competitive advantage. Long Range Planning, 30(5), 665-677.
Shin, T. (1998). Using Delphi for a long-range technology forecasting, and assessing directions of future R&D activities the Korean exercise. Technological Forecasting and Social change. Elsevier.
Downloads
How to Cite
Issue
Section
License
All papers licensed under Creative Commons 4.0 CC-BY.- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.