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

Moniz, António (2006): Foresight methodologies to understand changes in the labour process: Experience from Portugal. Published in: Enterprise and Work Innovation Studies No. 2 (November 2006): pp. 105-116.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: foresight; scenario; labour policy; Portugal; work organisation; work design; knowledge society; virtual organisations
• Subjects: J - Labor and Demographic Economics > J0 - General > J08 - Labor Economics Policies; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; Data Access; Y - Miscellaneous Categories > Y8 - Related Disciplines > Y80 - Related Disciplines; F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F47 - Forecasting and Simulation: Models and Applications; O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O21 - Planning Models ; Planning Policy

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