Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework

Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?

“…Thereafter, leveraging the synergistic action of these digital technologies helps apply a dynamic decision-making process and foster operational improvements to harness triple-helix sustainability benefits from preventing resources overexploitation to tackling fraudulent incidents, eliminating product recalls, and promoting gender and cultural equality. Ultimately, the operational improvements driven by data-centric decision-making directly promote data monetisation through cost reductions and profit generation (Bechtsis et al, 2021 ). Following the notion pertinent to the healthcare sector, the gathered (anonymised) data could also be used as a source of income (Kamel Boulos et al, 2018 ).…”

“…Our literature taxonomy revealed limited evidence on critical decision-making enabled by the secure management of trustworthy data streams via BCT whilst ensuring real-time data processing via AI implementations (Bechtsis et al, 2021 ). In the existing supply chain management research on AI and BCT, the two technologies are mainly viewed in isolation, and the benefits of their combined use remain largely unexplored.…”

“…Therefore, improvements in resources appropriation, lead times, wastage, and product recalls are achieved, ultimately leading to sustainable performance (Tsolakis et al, 2021 ). The improved efficiency further enables the delivery of value, both upstream and downstream of the supply chain, thus supporting competitiveness and driving data monetisation (Bechtsis et al, 2021 ).…”

“…The combined implementation of data-driven digital technologies is particularly valuable in a food supply chain context due to the increasing demand for verifiable transparency and traceability evidence regarding product safety and quality (Aung & Chang, 2014 ). Specifically, integrating AI and BCT could expand the data gathering, interoperability and analysis capabilities across end-to-end echelons of operations to enable supply network security, cost-competitive resiliency, and sustainability, thus ultimately leading to enhanced consumers’ trust (Bechtsis et al, 2021 ). Major retailers have already implemented BCT, namely: (i) ‘Walmart’ for tracing agricultural products in the U.S. and pork in China; (ii) ‘Carrefour’ for tracking milk supply chains; and (iii) ‘Alibaba’ for addressing food fraud (Kshetri, 2018 ).…”

Drivers, barriers and supply chain variables influencing the adoption of the blockchain to support traceability along fashion supply chains

“…The literature on the use of blockchain technology in supply chains is quite recent (e.g. Chang et al 2019) but has experienced significant growth in recent years thanks to the evidence that emerged on the potential of this technology applied to supply chains of different sectors such as food supply chains (Katsikouli et al 2021;Bechtsis et al 2021;Sharma et al 2021;Mukherjee et al 2021), humanitarian supply chains (Baharmand et al 2021) or pharmaceutical chains (Hosseini Bamakan et al 2021;Hastig and Sodhi 2020). Existing papers are focusing on illustrating the potential value of the blockchain and its interoperability with existing technology, such as IoT, and in particular, for the fashion industry, this technology has enormous potential in improving the information flows of supply chains (Agrawal et al 2021;Wang et al 2020;Bullón Pérez et al 2020;Agrawal et al 2021;Choi and Luo 2019).…”