Impact of digital transformation on business models in the automotive industry
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Master's Thesis from the year 2023 in the subject Engineering - Automotive Engineering, grade: 1,5, University of Applied Sciences Aalen, language: English, abstract: Digital transformation and disruptive business models of new market players create unprecedented uncertainty in the automotive industry. One of the main reasons is the lack of understanding for the need of adapting business models to a changing business environment due to new technologies and shifting customer wants and needs. Even the automotive industry is not spared from digital Darwinism, according to which it is not the stro...
Master's Thesis from the year 2023 in the subject Engineering - Automotive Engineering, grade: 1,5, University of Applied Sciences Aalen, language: English, abstract: Digital transformation and disruptive business models of new market players create unprecedented uncertainty in the automotive industry. One of the main reasons is the lack of understanding for the need of adapting business models to a changing business environment due to new technologies and shifting customer wants and needs. Even the automotive industry is not spared from digital Darwinism, according to which it is not the strongest or most intelligent of a species that survives, but rather the one that adapts best to change. What opportunities do OEMs have to transform their business models? How can best practices be used to generate new value creation, and what influence does the transformation of the business model have on the ecosystem? What role will the dealer play in the future, and how can he still deliver added value to the OEM? This paper provides an in-depth insight into the world of automotive sales, as well as a detailed analysis of the status quo. Best practices based on successful business model transformations of the top tier OEMs are the basis for a deeper understanding and serve other companies as foundation for developing digital business models. The goal of this paper is to examine the impact of digital transformation on the dealer business model and how they can continue to deliver value to the OEM. For this purpose, guided expert interviews are conducted with 16 experts from various areas of the automotive industry. Subsequently, a qualitative content analysis according to Mayring will be used to assess the challenges and impacts of the agent business model and to develop improvement measures and key topics that offer added value for OEMs. The results of this thesis support dealers in understanding their future role in the automotive industry and show design recommendations for a future-proof business model.
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