Assessing scenarios on the future of work
In this paper will be discussed different types of scenarios and the aims for using scenarios. Normaly they are being used by organisations due to the need to anticipate processes, to support policy-making and to understand the complexities of relations. Such organisations can be private companies, R&D organisations and networks of organisations, or even by some public administration institutions. Some cases will be discussed as the methods for ongoing scenario-building process (Shell Internacional). Scenarios should anticipate possible relations among social actors as in the Triple Helix Model, and is possible to develop strategic intelligence in the innovation process that would enable the construction of scenarios. Such processes can be assessed. The focus will be made in relation to the steps chosen for the WORKS scenarios. In this case is there a model of work changes that can be used for foresight? Differences according to sectors were found, as well on other dimensions. Problems of assessment are analysed with specific application to the scenario construction methods.
Volume (Year): 4 (2008)
Issue (Month): 4 (November)
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- Diebold, Francis X & Kilian, Lutz, 2000.
"Measuring Predictability: Theory And Macroeconomic Applications,"
CEPR Discussion Papers
2424, C.E.P.R. Discussion Papers.
- Francis X. Diebold & Lutz Kilian, 2001. "Measuring predictability: theory and macroeconomic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 657-669.
- Francis X. Diebold & Lutz Kilian, 1997. "Measuring Predictability: Theory and Macroeconomic Applications," NBER Technical Working Papers 0213, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Lutz Kilian, 1997. "Measuring predictability: theory and macroeconomic applications," Working Papers 97-23, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Lutz Kilian, 1998. "Measuring Predictability: Theory and Macroeconomic Applications," Working Papers 98-16, New York University, Leonard N. Stern School of Business, Department of Economics.
- Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
- António B. Moniz, 2006.
"Foresight methodologies to understand changes in the labour process. Experience from Portugal,"
Enterprise and Work Innovation Studies,
Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 2(2), pages 105-116, November.
- Moniz, António, 2006. "Foresight methodologies to understand changes in the labour process: Experience from Portugal," MPRA Paper 5686, University Library of Munich, Germany, revised Nov 2006.
- Klaus Abberger, 2007. "Forecasting Quarter-on-Quarter Changes of German GDP with Monthly Business Tendency Survey Results," Ifo Working Paper Series Ifo Working Paper No. 40, Ifo Institute for Economic Research at the University of Munich.
- Pflaumer, Peter, 1988. "Confidence intervals for population projections based on Monte Carlo methods," International Journal of Forecasting, Elsevier, vol. 4(1), pages 135-142.
- Margarida R. Paulos & António B. Moniz, 2009. "Are societal changes new? Questions or trends and future perceptions on knowledge-based economy," IET Working Papers Series 02/2009, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
- Moniz, António & Godinho, Manuel M., 2000. "New Methodological Approaches for Change in Traditional Sectors: The Case of the Portuguese Fisheries Socio-Economic System," MPRA Paper 6444, University Library of Munich, Germany, revised Apr 2000.
- Heilemann, Ullrich & Stekler, Herman, 2007. "Introduction to "The future of macroeconomic forecasting"," International Journal of Forecasting, Elsevier, vol. 23(2), pages 159-165.
- Huss, William R., 1988. "A move toward scenario analysis," International Journal of Forecasting, Elsevier, vol. 4(3), pages 377-388.
- Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
- Isiklar, Gultekin & Lahiri, Kajal, 2007.
"How far ahead can we forecast? Evidence from cross-country surveys,"
International Journal of Forecasting,
Elsevier, vol. 23(2), pages 167-187.
- Kajal Lahiri & Gultekin Isiklar, 2006. "How Far Ahead Can We Forecast? Evidence From Cross-country Surveys," Discussion Papers 06-04, University at Albany, SUNY, Department of Economics.
- Shripad Tuljapurkar & Ronald D. Lee & Qi Li, 2004. "Random Scenario Forecasts Versus Stochastic Forecasts," Working Papers wp073, University of Michigan, Michigan Retirement Research Center.
- Granger, Clive W.J. & Jeon, Yongil, 2007. "Long-term forecasting and evaluation," International Journal of Forecasting, Elsevier, vol. 23(4), pages 539-551.
- Collopy, Fred & Armstrong, J. Scott, 1992. "Expert opinions about extrapolation and the mystery of the overlooked discontinuities," International Journal of Forecasting, Elsevier, vol. 8(4), pages 575-582, December.
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