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Corporate Foresight

Authors: De Toni A. F.; Siagri R.; Battistella C.;

Corporate Foresight

Abstract

This book illustrates how to anticipate the future using more than the traditional predictive models (forecasting) based on the forward projection of past experiences, and moving into more advanced methods of anticipation logic (foresight) to build probable scenarios based on weak signals, emerging trends, coexisting presents and potential paths of evolution. Utilizing a helpful, four-part structure, the authors indicate how corporate foresight is fundamental to interpret and lead change, focusing on the two cornerstones of organization and management. They advocate the separation of Research (oriented to the market of tomorrow) from Development (oriented to the market of today), the establishment of a Foresight unit and the concentration of research activities mainly on the acquisition and recombination of external know-how. After an overview of state-of-the-art literature on forecasting methods, they further propose the implementation of a "future coverage" methodology, which will enable companies to measure and verify the consistency between trends, strategic vision and offered products. These organizational and managing tools are then tested in a case study: the Italian company Eurotech SpA, a leader in the ICT sector. A useful resource for both managers and researchers, the book will help readers gain the tools necessary to tackle change and navigate complexity in organizations.

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Italy
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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