Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic

“…The real-time data availability and monitoring of products and SC help solve the risks associated with product quality and its availability (Rodr ıguez-Esp ındola et al, 2020; Massaro and Galiano, 2020). With other emergent technologies, AI-enabled automated systems with better decision-making ability for simple to complex tasks have been replacing the workforce in many firms and service industries; this leads to significant cost reduction and increment inefficiency (Dwivedi et al, 2019). AI has a low-cost processing advantage due to CC's invention (Agrawal et al, 2017).…”

“…An AI technology like Intelligent Chatbots can increase delivery service efficiency by making it on time and reducing the service delivery cost. However, SC's overall cost after AI implementation still needs to be explored more (Dwivedi et al, 2019). Training costs, low-cost expert-level decisions and low-cost agricultural technologies are advantages of AI implementation in ASC (Lezoche et al, 2020).…”

“…AI implementation benefits reduce overall cost, equipment cost and production cost AI in agricultural supply chain management (Cubric, 2020;Di Vaio et al, 2020). Machine and equipment reliability can be improved with the intelligence supported by automated AI-system implementation (Dwivedi et al, 2019), which will reduce the risk of machine and equipment breakdown. Thus, AI helps mitigate the risks caused by SC disruptions through cost reduction, enhanced traceability, reduced hitches of delivery and breakdown of machines and equipment, improved product quality and assuring product availability.…”

“…The SCI plays a significant role in SC's effective responsiveness (Can Saglam et al, 2020;Lezoche et al, 2020). With the need for data integration to share information in real-time, an effective emergent technology implementation must generate quality information to predict dynamic patterns of the market and environment (Dwivedi et al, 2019;Min, 2010). Thus, an efficient SCI pushes AI implementation in AI.…”

“…Expert system application in SC is considered useful for product design (Min, 2010) and agent-based modeling for mass customization in the e-commerce business (Turowski, 2002). Automating the SC process will compensate for the shortage of labor (Lezoche et al, 2020) and reduce operators' workload (Dwivedi et al, 2019). The AI-enabled conversational interface can help align all SC activities and players for sharing information (Dwivedi et al, 2019).…”