## 7 Conclusions  
In this paper, we discussed the challenges faced by the automotive sector in the cybersecurity space, maintaining an adequate level of cybersecurity in vehicles throughout their life. In the first place, cybersecurity in the automotive space is still not mature enough in terms of processes and infrastructure defined by manufacturers and suppliers, but its need is critical to the proper functioning of a vehicle. Moreover, the need for cybersecurity will increase exponentially, along with the technological development of vehicles, as a consequence of both an increase in attacks and their sophistication, as well as the adoption of connected and autonomous vehicles. Our research paper provides valuable theoretical insights and practical implications for policymakers in the automotive industry. From a theoretical perspective, we have expanded the application of the TAM specifically to the automotive sector. The TAM has long been a fundamental framework for understanding the adoption of new technologies across various domains. Traditionally, TAM focuses on two primary constructs: Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). These constructs are pivotal in determining an individual's intention to use a particular technology. However, the unique dynamics and complexities of specific industries necessitate a more nuanced application of TAM. In this theoretical contribution, we extend the application of TAM specifically to the automotive sector, highlighting the unique factors influencing technology adoption and diffusion within this industry. First, we consider the rationale behind this expansion. The automotive sector is characterized by intricate supply chains, stringent regulatory environments, and rapid technological advancements. These factors create a context where technology adoption decisions are influenced not only by individual perceptions (as captured by PU and PEOU) but also by a broader set of considerations across the supply chain and organizational environment. Building on prior studies, we argue that a successful technology adoption strategy in the automotive industry must transcend organizational boundaries and encompass the entire supply chain network. Second, the automotive industry relies heavily on a well-coordinated supply chain. Technologies such as IoT, advanced analytics, and blockchain are increasingly used to enhance transparency, traceability, and efficiency in the supply chain. We propose that factors such as \"Supply Chain Integration\" (SCI) and \"Supply Chain Coordination\" (SCC) should be considered alongside PU and PEOU. SCI refers to the seamless flow of information and materials across supply chain partners, while SCC emphasizes the alignment of processesand strategies among these partners. The degree to which technology facilitates SCI and SCC can significantly impact its adoption across the supply chain. Moreover, beyond individual perceptions, the readiness of an organization to adopt new technology is crucial. This includes factors such as existing technological infrastructure, financial resources, and workforce capabilities. We introduce the concept of \"Organizational Readiness\" (OR), which captures these aspects. Additionally, the \"Environmental Context\" (EC), including regulatory frameworks, market dynamics, and competitive pressures, plays a critical role in shaping technology adoption. The automotive sector, with its stringent safety and emissions regulations, particularly exemplifies the importance of EC. Furthermore, the adoption of innovative technologies often requires collaboration with external partners, including technology providers, research institutions, and other firms within the industry. We extend TAM by incorporating \"Innovation Ecosystem\" (IE) and \"Collaborative Networks\" (CN). IE refers to the broader network of entities that contribute to the development and diffusion of new technologies, while CN focuses on the specific partnerships that organizations form to leverage these technologies.