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Innovation Acceptance: The Case of Advanced Driver-Assistance Systems

Autor Patrick Planing
en Limba Engleză Paperback – 17 feb 2014
Advanced Driver-Assistance Systems (ADAS) provide the opportunity to increase road safety and driving comfort. Reviewing existing empirical work on comparable innovations, Patrick Planing derives potential acceptance constructs, which together with the results of thirty-two semi-structured interviews, have constituted the basis for a survey instrument that was consequently administered to a sample of over 400 participants from the target population. The resulting regression model shows that perceived safety and comfort benefits are most decisive for the acceptance of ADAS, while desire to exert control was found to most strongly support resistance to this technology.
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Specificații

ISBN-13: 9783658050047
ISBN-10: 3658050047
Pagini: 344
Ilustrații: XVIII, 326 p. 51 illus.
Dimensiuni: 148 x 210 x 18 mm
Greutate: 0.45 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Locul publicării:Wiesbaden, Germany

Public țintă

Research

Cuprins

​ADAS Technology.- Defining Innovation, Acceptance, Adoption, Resistance, and Diffusion.- Qualitative and Quantitative Research on Innovation Acceptance.- Factors for the Acceptance of Advanced Driver-Assistance Systems.

Notă biografică

Patrick Planing is a doctoral graduate from Leeds Metropolitan University, UK, and a visiting lecturer at various German universities. He currently holds a position in the Business Innovation Unit of a leading premium car manufacturer in Germany.

Textul de pe ultima copertă

Advanced Driver-Assistance Systems (ADAS) provide the opportunity to increase road safety and driving comfort. Reviewing existing empirical work on comparable innovations, Patrick Planing derives potential acceptance constructs, which together with the results of thirty-two semi-structured interviews, have constituted the basis for a survey instrument that was consequently administered to a sample of over 400 participants from the target population. The resulting regression model shows that perceived safety and comfort benefits are most decisive for the acceptance of ADAS, while desire to exert control was found to most strongly support resistance to this technology.
Contents
  • ADAS Technology
  • Defining Innovation, Acceptance, Adoption, Resistance, and Diffusion
  • Qualitative and Quantitative Research on Innovation Acceptance
  • Factors for the Acceptance of Advanced Driver-Assistance Systems
Target Groups
  • Researchers and students in the fields of economics and psychology
  • Practitioners in the field of driver-assistance development and public institutions in the transport sector
The Author
Patrick Planing is a doctoral graduate from Leeds Metropolitan University, UK, and a visiting lecturer at various German universities. He currently holds a position in the Business Innovation Unit of a leading premium car manufacturer in Germany.

Caracteristici

Publication in the field of economic sciences Includes supplementary material: sn.pub/extras