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Foresight methodologies to understand changes in the labour process: Experience from Portugal

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  • Moniz, António

Abstract

The foresight and scenario building methods can be an interesting reference for social sciences, especially in terms of innovative methods for labour process analysis. A scenario – as a central concept for the prospective analysis – can be considered as a rich and detailed portrait of a plausible future world. It can be a useful tool for policy-makers to grasp problems clearly and comprehensively, and to better pinpoint challenges as well as opportunities in an overall framework. The features of the foresight methods are being used in some labour policy making experiences. Case studies developed in Portugal will be presented, and some conclusions will be drawn in order to organise a set of principles for foresight analysis applied to the European project WORKS on the work organisation re-structuring in the knowledge society, and on the work design methods for new management structures of virtual organisations.

Suggested Citation

  • 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.
    • Handle: RePEc:pra:mprapa:5686
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    References listed on IDEAS

    as
    1. Kuhlmann, Stefan, 2001. "Future governance of innovation policy in Europe -- three scenarios," Research Policy, Elsevier, vol. 30(6), pages 953-976, June.
    2. Moniz, António, 2004. "Resultados provisórios do exercício Delphi WorTiS (1ª fase) [Provisional results of the 1st round of Delphi WorTiS exercise]," MPRA Paper 5936, University Library of Munich, Germany, revised Nov 2007.
    3. 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.
    4. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, September.
    5. António Brandão Moniz, 2006. "Scenario-Building Methods as a Tool for Policy Analysis," Springer Books, in: Benoît Rihoux & Heike Grimm (ed.), Innovative Comparative Methods for Policy Analysis, chapter 0, pages 185-209, Springer.
    6. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    7. 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.
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    Cited by:

    1. António Brandão Moniz, 2008. "Assessing scenarios on the future of work," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 4(4), pages 91-106, November.
    2. 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.

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    More about this item

    Keywords

    foresight; scenario; labour policy; Portugal; work organisation; work design; knowledge society; virtual organisations;
    All these keywords.

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

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