Analytics

Study reveals why business leaders still prefer spreadsheets over AI analytics tools, identifying skill gaps and design barriers preventing adoption of advanced analytics platforms.

Framework integrating machine learning and network analytics to detect greenwashing by analyzing organizational knowledge processes and credibility erosion.

AlphaLearn proposes a multi-objective evolutionary framework for adaptive e-learning pathways that integrates fairness as a core optimization criterion alongside learning effectiveness and engagement.

Study reveals mismatches between student behavior and cognition in different classroom settings using heart rate variability and time-on-task analysis.

Study identifies which Industry 4.0 technologies—AI, blockchain, IoT, and others—work best at each stage of food supply chains for minimizing losses and waste globally.

Pipeline using multiple language models and consensus voting to reduce manual effort in systematic literature review screening, with human oversight through visual analytics.

De-identified clickstream dataset from KU Leuven supporting Learning Analytics research while maintaining learner privacy through transparent anonymization.

Contextual Thompson sampling approach for personalizing exercise sequences in digital learning environments, optimizing skill advancement at scale using bandit-based algorithms.

NUS Master of Science in Business Analytics programme integrates structured industry collaboration and ACDIN pedagogy to bridge academia-industry gap, receiving INFORMS recognition.

Examines optimal data analytics strategies for retailers managing supplier encroachment risk under two data governance structures using Bayesian persuasion framework.

Explore how technology enables audit firms to build dynamic capabilities during crises. Research on 237 Swedish auditors reveals technology's role in maintaining operational continuity during.

Systematic survey of 1,125 papers from flagship conferences identifying 172 open datasets in learning analytics, with PRACTICE guidelines for dataset publication and reproducibility practices.

Explore how statistical methods and AI transform U.S. public health disease control through predictive analytics, resource optimization, and data integration while addressing privacy and.

Research methodology integrating NLP, machine learning, and visual analytics to extract actionable information from social media during environmental disasters.