## 6 Conclusions
Because Internet of Things-based decision support systems require significant financial resources, the initial assumption that only large businesses can adopt Industry 4.0-based manufacturing systems is only partially accurate, as SMEs can request additional financial resources. Additionally, the deployment of sustainable manufacturing Internet of Things and robotic wireless sensor networks need further development. In order to evaluate the reality of the assertion that, in the context of Industry 4.0, the gap between large enterprises and SMEs will severely hurt the latter, it is legitimate to conclude that some inequality exists. Consequently, SMEs must exert greater effort to compensate. Industry 4.0 implementation is essential if a company aspires to surpass its market competitors. Despite the fact that SMEs and large organizations may not have equal opportunities, SMEs are not always driven off the market by large corporations. Collaboration between businesses is crucial, and SMEs may develop links with large firms by using their adaptability and competitive edge. The potential benefits are sufficient to motivate firms to embrace cyber-physical production networks and artificial intelligence-based decision-making and virtual simulation algorithms notwithstanding the presence of certain barriers [145; 146; 147; 148]. Ahead-of-the-curve businesses that have already successfully integrated deep learning-assisted smart process planning, big data-driven decision-making processes, and Internet of Things smart devices may demonstrate the real benefits and advancements that can be realized by adopting Internet of Things-based real-time production logistics [149; 150; 151]. Companies are uncertain about the outcome of this endeavor since the difficulties associated with Industry 4.0 adaptation are usually too complex for an outsider to know in full. As a result, more research must be conducted in several fields. As is the case with the use of big data, for instance, what is initially perceived as a gain may turn out to be a drawback. Real-time access to information is a big advantage. The requirement to deal with voluminous data that necessitates storage, cybersecurity, etc., is also taxing on staff. Another example that should be seen favorably is automation. The acceptance of this tendency might, however, be accompanied with automation bias or the paradox of automation. Based on a few incidents, every organization aiming to implement all the technologies presently in development should take caution. Despite the effort to conduct a detailed analysis, it is possible to claim that the study has a number of flaws, such as secondary and insufficient data. In addition, conducting the analysis with more European states would be desirable. On the other hand, the research emphasizes the most recent industry trend and draws attention to the associated economic concerns, which may be viewed as an added advantage. Industry 4.0 is evolving on a global scale; thus, it will take some time to determine the exact effect and potential obstacles. In addition, the COVID-19 pandemic may push firms to refocus their attention on more pressing issues, which will hinder their willingness to adopt new technology. Political, social, and economic institutions must adapt to a vast array of new technological advances in all industrial sectors, not just manufacturing. If stakeholders and managers of large-scale industrial companies desire sustainable economic growth for the future of mankind, they are obligated to collaborate and work together to get a deeper understanding of the opportunities and challenges of Industry 4.0.