Abstract Workplace Artificial Intelligence (AI) helps organisations increase operational
efficiency, enable faster-informed decisions, and innovate products and services. While …

This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Manufacturers are increasingly aware of the importance of system resilience against
unexpected disruptive occurrences, such as the recent global Covid-19 pandemic and …

Commercial and private deployment of airborne drones is revolutionising many ecosystems.
To identify critical issues and research gaps, our systematic literature review findings …

The emergence of digital technologies across all aspects of operations management (OM)
has enabled shifts in decision making, shaping new operational dynamics and business …

Purpose The purpose of this paper is to facilitate blockchain innovation immersion in
accountancy organizations by providing tools that allow organizations to manage the …

The bullwhip effect, also known as demand information amplification, is one of the principal
obstacles in supply chains. In recent decades, extensive studies have explored its …

Spare parts demand forecasting has received considerable attention over the last fifty years
as it is a challenging problem for many companies. This paper provides a critical review and …