This study aims to investigate the impact of business intelligence readiness (BIR), innovative supply chain process integration (ISCPI), and agile innovative products (AIPs) on the sustainability of green supply chain performance (SGSCP) in manufacturing companies (MFs) in growing Middle Eastern...

Background: The literature on measuring the complexity of production systems employs the graph and information theory. This study analyzes these systems and their coordination under varying states of control, with a focus on the probability of unfavorable events and their temporal...

Purpose - This study investigates the application of machine learning (ML) techniques in predicting firm performance, responding to the challenges posed by the large volumes of data required for accurate predictions. It aims to assess the effectiveness of various ML methods and algorithms used...

In today's fast-paced digital landscape, the importance of human factors in cybersecurity has become increasingly evident yet is often overlooked. This research employs the Delphi method to achieve expert consensus on the managerial actions that enhance cybersecurity by leveraging human factors....

Background: With urban logistics facing challenges such as high delivery volumes and driver shortages, autonomous driving emerges as a promising solution. However, the integration of autonomous vans and robots into existing fulfillment processes and platforms remains largely unexplored. Method:...