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Design+ The transformation of the automotive industry

4.4. Digitalization to gain a deep understanding of these key technologies

Digitalization in the automotive industry marks a significant to analyze the impact of the transformation and respond
shift through the introduction of digital technologies, appropriately. A comprehensive understanding of these
driven by data management and digital platforms. These technological developments is essential to accurately
technologies have the potential to revolutionize traditional evaluate the challenges and opportunities of the
business models and create new market offerings through transformation process and to develop suitable strategies.
big data and AI. The ability to efficiently manage data and 5.2. Limitations
38
transform it into actionable knowledge has become crucial
in customer management and sales. 38 Although this research offers valuable insights, it is
important to recognize certain limitations:
Digital technologies accelerate industrial (a) Methodological approach. The systematic analysis
transformation, leading to the emergence of new players of existing literature inherently involves certain
and potentially reconfiguring industrial value chains. The limitations. The results can be influenced by the
automotive industry is opening its value chains to digital chosen search strategy, inclusion and exclusion
experts with experience in electronics and software, criteria, as well as the reviewer’s personal perspectives.
enabling new cooperative business models based on digital Despite the methodological frameworks outlined by
platforms and big data. 41,42 vom Brocke et al., the risk of reviewer bias remains,

The development of information and communication as the selection and interpretation of literature are
technologies has led to the digitalization of vehicles and subjectively influenced.
the definition of topics such as connected cars, the Internet (b) Language limitations. Focusing on English-language
of Things, and autonomous driving. These technologies literature may exclude relevant research findings
provide insights into customer behavior and market available in other languages. To minimize the potential
demands, which can be used to create new products and impacts of this language limitation on the research
services. 43 outcomes, it is advisable for future research to include

The changes brought about by digitalization and relevant sources available in other languages, thereby
electrification require agile approaches to delivering digital providing a more comprehensive view of the state of
the art.
solutions to effectively manage the disruptive nature of (c) Access to databases. The limitation of the literature
these technologies and adapt traditional business models search to databases accessible through university
to meet the new demands. 38
licenses or those that are freely available also
5. Conclusion, limitations, and outlook presents a methodological constraint. Although a
well-founded selection of databases was made using
5.1. Conclusion journal rankings, relevant publications in databases
As part of the systematic literature review, the research not considered may have been overlooked. Moreover,
question “Which technological drivers significantly the focus on publications specifically related to
shape the transformation in the automotive industry?” selected key markets leads to a geographical limitation
was investigated. The aim of the study was to identify of the study. While this approach allows for a focused
the key technological drivers currently influencing the analysis of technological drivers in these regions, it
transformation through a systematic literature review. To limits the generalizability of the findings and may
identify the relevant sources for this study, a keyword search neglect global perspectives.
was conducted across various databases, resulting in 11 (d) Scope of analysis. The limited number of 11 sources
relevant sources. The analysis of the selected publications constrains the breadth of the analysis. An expanded
identified several technological factors that are crucial to database could improve the validity, representativeness,
the transformation in the automotive industry. The primary and significance of the findings. In addition, although
drivers of this change are connectivity, autonomous key technologies were identified in the study, a deeper
driving, electrification and digitalization. These main investigation into their specific roles, functions,
drivers are supported by complementary technologies such and impacts on transformation was not conducted.
as AI, digital platforms, big data, robotics, 3D printing, and A more detailed analysis of these aspects could not
cloud computing. The investigation revealed that these only enhance the comprehensibility of the results
drivers interact with each other and are often discussed in but also their applicability and usefulness for further
combination in the literature. For companies, it is essential research as well as for practical applications. Moreover,

Volume 2 Issue 1 (2025) 10 doi: 10.36922/dp.4445