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Loss of Control and Technology Acceptance in (Digital) Transformation : Acceptance and Design Factors of a Heuristic Model / by Michael Ortiz

Publisher (Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer VS)
Year 2023
Edition 1st ed. 2023.
Authors *Ortiz, Michael author
SpringerLink (Online service)

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OB00192667 Springer Social Sciences eBooks (電子ブック) 9783658396619

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Material Type E-Book
Media type 機械可読データファイル
Size X, 94 p. 1 illus : online resource
Notes Technology Acceptance in Germany and Baden-Württemberg: State of the Debate -- Loss of control and technology acceptance -- Empirical framework: The #techourfuture project initiative -- Evaluation of the results
In the context of the (digital) transformation of economy and society, the technology acceptance of the population is increasingly influenced by a perceived loss of control through new technologies. Loss of control is defined in this volume as a multi-causal, multi-modal and cyclical process of transition of control and is conceptually brought together in a multi-dimensional heuristic model. The results of a first quantitative-empirical analysis for Baden-Württemberg based on this model confirm that loss of control is a central factor influencing technology acceptance, but is perceived differently by different socio-demographic groups. The Author: Dr. Michael Ortiz is head of the research area Technology Transfer and Innovation at the Ferdinand Steinbeis Institute in Stuttgart. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation
HTTP:URL=https://doi.org/10.1007/978-3-658-39661-9
Subjects LCSH:Technology—Sociological aspects
LCSH:Digital media
LCSH:Political sociology
FREE:Emerging Technologies
FREE:Science, Technology and Society
FREE:Digital and New Media
FREE:Political Sociology
Classification LCC:HM846-851
DC23:303.483
ID 8000091818
ISBN 9783658396619

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