The Impact of Individual Expertise and Public Information on Group Decision-Making [electronic resource] / by Ulrich G. Strunz.

By:

Strunz, Ulrich G [author.]

Contributor(s):

SpringerLink (Online service)

Material type: Text

TextSeries: FOM-Edition ResearchPublisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2021Edition: 1st ed. 2021Description: XVIII, 185 p. 41 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783658331399

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

658 23

LOC classification:

HD28-70

Online resources:

Click here to access online

Contents:

Introduction -- Theoretical Background -- General Research Objectives -- Empirical Research Design -- Specific Research Objectives.

In: Springer Nature eBookSummary: In this open-access-book the author concludes that expertise could be the key factor for global and interconnected problems. Experimental results have shown that expertise was a stronger predictor than public information regarding change in behavior and strategy adaption. Identifying non-routine problem-solving experts by efficient online assessments could lead to less volatile system performance, from which all decision-makers could potentially profit. About the author: Dr. Ulrich G. Strunz is author of books about personal growth and cognitive automatisms. Since 2020 he is CEO of his family business Strunz GmbH and finished his PhD in the field of behavioral economics in the same year. He lectures „Decision-Oriented Management“ at FOM Hochschule Munich. .

List(s) this item appears in: e-Book / ebook

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Introduction -- Theoretical Background -- General Research Objectives -- Empirical Research Design -- Specific Research Objectives.

Open Access

In this open-access-book the author concludes that expertise could be the key factor for global and interconnected problems. Experimental results have shown that expertise was a stronger predictor than public information regarding change in behavior and strategy adaption. Identifying non-routine problem-solving experts by efficient online assessments could lead to less volatile system performance, from which all decision-makers could potentially profit. About the author: Dr. Ulrich G. Strunz is author of books about personal growth and cognitive automatisms. Since 2020 he is CEO of his family business Strunz GmbH and finished his PhD in the field of behavioral economics in the same year. He lectures „Decision-Oriented Management“ at FOM Hochschule Munich. .

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