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Einflussfaktoren der Adoption von "Connected Cars" durch Endnutzer in Deutschland: Eine empirische Untersuchung

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  • Holland, Heinrich
  • Zand-Niapour, Sam

Abstract

Connected Cars zeichnen sich aus durch eine internetbasierte, bi- oder multilaterale Verbindung zum Fahrzeughersteller, Fahrzeughändler, zu Versicherern, zu Regierungsbehörden (z. B. Maut-stellen oder Straßenverkehrsamt), zur Infrastruktur (z. B. Ampeln, Parkhäuser oder Verkehrs-schilder) und anderen Fahrzeugen. Vernetzte Fahrzeuge sind auf technische Daten und Daten anderer Nutzer angewiesen, um einen Mehrwert gegenüber herkömmlichen Fahrzeugen zu generieren. Die Vorzüge und Potenziale der Connected Cars können allerdings nur dann realisiert werden, wenn eine kritische Masse von Nutzern diese Konnektivitätstechnologien im Fahrzeug akzeptiert und nutzt. Zur Untersuchung der Adoption von Connected Cars in Deutschland wird in dieser Studie das fünfstufige Modell Innovation Diffusion Theory herangezogen. Im Rahmen dieses Modells definiert Rogers einen vollständigen Prozess für die Adoptionsentscheidung durch Individuen und nutzt einen multidimensionalen Ansatz, um die Einflussfaktoren auf den Adoptionsentscheidungsprozess zu erklären. Die Adoption von Connected Cars durch die Endnutzer in Deutschland wird direkt sowie indirekt durch mehrere Dimensionen beeinflusst, welche zum Teil Interdependenzen aufweisen. Aus der Literatur werden 16 Fragen identifiziert, die die Basis für eine qualitative Expertenerhebung bieten. Durch diese Erhebung wird die Gültigkeit des initialen Modells zur Untersuchung der Adoption von Connected Cars durch die Endnutzer geprüft. 21 Hypothesen werden formuliert und in einem finalen Modell zusammengestellt.

Suggested Citation

  • Holland, Heinrich & Zand-Niapour, Sam, 2017. "Einflussfaktoren der Adoption von "Connected Cars" durch Endnutzer in Deutschland: Eine empirische Untersuchung," UASM Discussion Paper Series 5/2017, University of Applied Sciences Mainz.
  • Handle: RePEc:zbw:uasmdp:52017
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    References listed on IDEAS

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