This study conducts an in-depth review and Bowtie analysis of automation bias in AI-driven
Clinical Decision Support Systems (CDSSs) within healthcare settings. Automation bias, the …

In this discussion paper, we aim to examine the key issues of logistics management in the
Industry 4.0 era by addressing various major challenges. To be specific, we first establish an …

Abstract Multi-Criteria Decision Analysis (MCDA) is extensively used across diverse
industries to assess and rank alternatives. Among numerous MCDA methods developed to …

Improving customer repurchase intention constitutes a key activity for maintaining
sustainable business performance. Returning customers provide many economic and other …

This study aims to identify emerging topics, themes, and potential areas for applying large
language models (LLMs) in supply chain management through data triangulation. This study …

Instruments of corporate risk and reputation assessment tools are quintessentially
developed on structured quantitative data linked to financial ratios and macroeconomics. An …

This paper explores the profound implications of artificial intelligence-driven deepfake
technology. We introduce a novel business privacy calculus model by delving into the …

Life event prediction is an important tool for customer relationship management (CRM),
because life events shift customers' preferences towards different products and services …

Beyond managing student dropout, higher education stakeholders need decision support to
consistently influence the student learning process to keep students motivated, engaged …

This study proposes a real-time Decision Support System (DSS) using machine learning to
enhance proactive management of Human–Machine Interaction (HMI) in safety–critical …