Reliable Strategic Decision Making

Based on the relativity theory of scaling

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ISBN: 9789074644105
Uitgever: Pumbo.nl B.V.
Verschijningsvorm: Paperback
Auteur: Ernst R. Brus
Druk: 1
Taal: Engels
Verschijningsjaar: 2023
NUR: Economie, recht en bedrijfskunde algemeen

Decision-makers can dispose of dozens of books, in which strategic methods and techniques are central. Increasingly, however, decision-makers are asking themselves how reliable those methods and techniques are and how big the chance is that they can achieve their Strategic Goal with them. Decision-makers also want to be able to calculate and test this ‘probability’ themselves. They are no longer satisfied with qualitative descriptions and estimates.

Ernst R. Brus has developed methods and techniques based on his scientific studies, research and decades of practical experience, which have proven to be logical, mathematical and reliable in practical cases.

In the 1990s, he received an innovation subsidy from the Dutch government for the creation of Decision Support Software. Because DSS and AI did not cover reliable strategic decision-making adequately, the need arose for specific decision-making methods, techniques and software, which were above DSS and AI, as it were.

Decision-makers who do not take this seriously are increasingly likely to make wrong decisions.

Organisations from SME to multinationals and in both the profit and non-profit market have a great need to be able to make a reliable link between decision-makers, the operational organisation, software developers and the Strategic Goal.

The book is therefore neither a software book nor a decision making book, but a book that integrates and quantifies these in a unique and understandable way. It includes:

• a sound scientific basis

• more than 70 references to scientific publications

• dozens of methods and techniques

• dozens of practical examples and references

• more than one hundred unique decision-making algorithms

The publication of such algorithms is still far from common practice in the decision-making (advice/software) world. The author believes that even algorithms should not remain behind the decoder. The urgency to make better strategic decisions is too great worldwide for that.