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This study employs PRISMA to systematically gather, assess, and summarize evidence regarding the integration of AI, Blockchain, and IoT to improve sustainability and resilience. In this context, the technical potential, integration feasibility within supply chain systems, and competitive pressures that drive their adoption are evaluated for AI, Blockchain, and IoT. The Technology-Organization-Environment (TOE) framework offers a comprehensive perspective for the analysis of digital transformation in supply chains. (Pyun and Rha 2021) emphasize the necessity of the digital transformation of supply chains for the sustainable viability of firms in the era of Industry 4.0. The importance of 5G networks https://clomidxx.com/survey-demise-of-pacs-has-been-greatly-exaggerated/ is essential in this triadic integration, as they enable faster communication between connected devices. Additionally, (Saberi et al. 2018) observe that blockchain has the potential to significantly reduce counterfeiting and fraud in supply chains by enhancing the trust of stakeholders through the provision of transparent and verifiable records.
The flowchart improves methodological clarity and enables future researchers to replicate or critically evaluate the rigor of the study selection process by documenting both the quantitative progression of records and the qualitative rationale for exclusions. The process of data extraction entailed the systematic collection of critical information from each selected article, such as the study objectives, methodologies, significant findings, and implications for digital transformation in supply chains. This systematic approach ensures retrieval of relevant studies addressing technological integration, challenges, and strategic recommendations for digital supply chain initiatives. To address our research objectives, a comprehensive search string was developed to capture literature on digital transformation in supply chains. A total of 2,007 records were requested for retrieval during the initial screening phase as the study limited to business management and accounting, with 2,746 records being excluded due to criteria such as relevance to the research question and methodological rigor. The review guarantees transparency, reproducibility, and reliability in the identification of challenges and opportunities within contemporary supply chain management by adhering to PRISMA guidelines.
Companies must allocate resources to training initiatives that not only improve technical competencies but also cultivate a culture of adaptability to accommodate ongoing technological advancements, as a result of the intricacies of digital systems (Rui and Sundram, 2024). Additionally, policymakers should contemplate the establishment of incentives to encourage organizations to implement these technologies, thereby encouraging a more sustainable and resilient supply chain ecosystem (Ning and Yao, 2023). IoT devices are capable of monitoring environmental conditions, including temperature and humidity, which are essential for the preservation of product quality, particularly in the food and pharmaceutical sectors (Alhamda and Rahman, 2022).
How to get your AI supply chain security started
The transformation of supply chain management (SCM) to digital is defined by the transition from conventional linear models to interconnected, data-driven ecosystems. In addition to streamlining logistics, this integration also inspires a culture of innovation and continuous improvement within organizations (Ou, 2024). The graph illustrates a trend that serves as a solid foundation for the development of strategic recommendations that are designed to effectively integrate digital technologies into supply chain management. This significant escalation is indicative of not only an expanded academic focus but also a response to global market pressures and disruptive events, which has prompted both industry and policymakers to prioritize digital transformation initiatives. The most significant increase https://www.cocoe.info/the-art-of-mastering-7/ in publications was observed in 2023, which suggests a strong transition to practical implementation strategies and comprehensive research. The line graph in Figure 3 provides a comprehensive data visualization that effectively communicates the progression of research in digital transformation within supply chains from 2020 to 2024.
- PyPI is a large public package ecosystem whose account, publishing, provenance, and malware defenses continue to evolve.
- While primarily aimed at frontier model developers, the transparency requirements establish precedent for supply chain documentation across the AI industry.
- AI Supply Chain Security secures the AI models and agent skills teams pull in and deploy.
- CycloneDX 1.7 and SPDX 3.0 support AI/ML component information, but format support does not make an inventory complete; select fields and verification controls for the artefacts, suppliers, and deployment path in scope.
8 Best practices to overcome the challenges such as cybersecurity risks and interoperability issues
Skills and Training are essential for overcoming the challenges presented by digital transformation in supply chains. (Pyun and Rha 2021) further assert that sustainability is a critical factor in the transformation of supply chain strategies and business models, emphasizing the importance of digital transformation for sustainable viability. As (Chen 2024) emphasizes, these technologies have the potential to significantly improve supply chain transparency, a critical component of sustainable practices. The digital transformation of supply chains, particularly in the era of Industry 5.0, is contingent upon the implementation of sustainable practices. The integration of digital technologies, including the Internet of Things (IoT) and Blockchain, significantly augments this transformation by offering strong https://www.daegu2011.org/2018/11/ frameworks for data sharing and collaboration among supply chain partners (Stroumpoulis and Kopanaki, 2022). This transformation enables agile decision-making and real-time visibility, which are essential for adjusting to the intricacies of contemporary supply chains (Reynolds, 2024).