Explainable artificial intelligence and agile decision-making in supply chain cyber resilience
North Carolina Agricultural and Technical State University · University of North Texas · +4 more institutions
Abstract
Although artificial intelligence can contribute to decision-making processes, many industry players lag behind pioneering companies in utilizing artificial intelligence-driven technologies, which is a significant problem. Explainable artificial intelligence can be a viable solution to mitigate this problem. This paper proposes a research model to address how explainable artificial intelligence can impact decision-making processes. Using an experimental design, empirical data is collected to test the research model. This paper is one of the pioneer papers providing empirical evidence about the impact of explainable artificial intelligence on supply chain decision-making processes. We propose a serial mediation…
Citation impact
- FWCI
- 64.00
- Percentile
- 100%
- References
- 85
Authors
5Topics & keywords
- Resilience (materials science)
- Agile software development
- Supply chain
- Computer science
- Cyber-physical system
- Business
- Process management
- Software engineering