Fallstudie Amag Leasing AG: «Videobasierte Identifikation als Wegbereiter für das Online-Leasing»

Ceranic, Esad; Frauchiger, Patrick; Brucker-Kley, Elke; Graf, Sandro; Körner, Amélie-Charlotte

doi:10.1007/978-3-662-55707-5_4

Cited by 1 publication

(2 citation statements)

References 3 publications

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“…In their theses, Becker and Völsgen also address that all-around carefree packages are gaining importance, which is why actual vehicle ownership is also becoming increasingly unimportant. Ceranic et al and Dudenhöffer and Paul also confirm this in their studies (Ceranic et al, 2018;Dudenhöfer & Paul, 2022). The declining desire for vehicle ownership is at odds with the advantages mentioned above of purchasing a vehicle through a car dealer, which reduces them and makes the role of the dealer less important (Binckebanck, 2011).…”

Section: Theoretical Backgroundmentioning

confidence: 56%

“…In parallel, the pandemic has once again highlighted the utility of the car as an individual means of transport (Dudenhöfer & Paul, 2022). This contrasts with Reindl's 2016 findings that the vehicle will increasingly become part of multimodal mobility, or intermodal mobility, according to Ceranic et al, as a result of which customers will tend to become mobility customers, and the automobile will become part of this mobility mix (Ceranic et al, 2018;Reindl, 2017).…”

Section: Theoretical Backgroundmentioning

confidence: 88%

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Analysis of factors influencing car purchases on the Internet by automotive customers in Germany

Böhlen¹,

Šimberovà²

2023

JESI

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This research aims to investigate various factors influencing the decision of automotive customers in Germany to buy a car on the Internet. The empirical study conducted mainly examines the influence of multiple factors such as employment status, gender, desire for advice when buying a car, price sensitivity, previous online vehicle purchasing experience, familiarity with online vehicle platforms, the intensity of general online shopping and age of the respondents on the degree of online vehicle purchasing behaviour. The scientific literature has produced only a few concrete studies in this regard. It is still being determined which factors are decisive for customers to buy their car online. Online vehicle purchasing behaviour was approximated using a Likert scale. Over 250 participants were surveyed in this process. The results were analysed by contrasting each influencing factor with online vehicle buying behaviour as part of a simple linear regression model. The T-test was then used to test each hypothesis for significance. A multivariate linear regression model was then constructed and retested with the significant influencing factors obtained. This showed that employment status, desire for advice when buying a car, having already made an online vehicle purchase, knowledge of online vehicle platforms, and general online shopping are (highly) significant and, therefore, strongly influence the online purchase decision of automotive customers in Germany. Future research should focus on comparing the results of this study for Germany and other more digital countries.

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Section: Theoretical Backgroundmentioning

confidence: 56%

Section: Theoretical Backgroundmentioning

confidence: 88%