The massive explosion of literature, theory, and methods on all aspects of decision-analytics, machine learning and artificial intelligence, over the past 20 or so years has brought a rapid specialization in each of the substrata of the fields that are using them. The sharp focus on empirical...

Cities need to improve sustainability levels demanded by climate change mitigation efforts. The use of big data analytics is crucial for understanding its dynamics and deploying solid public policies. Nevertheless, data availability poses great challenges, being difficult to produce reliable...

Critical cross-border issues have emerged during the COVID-19 pandemic, especially pertaining to security, supply chain, and education, which has led to several new challenges for management. The balance between potential risks and economic benefits has attracted the attention of both industry...

In modern workforce management, the demand for new ways to maximize worker satisfaction, productivity, and security levels is endless. Workforce movement data such as those source data from an access control system can support this ongoing process with subsequent analysis. In this study, a...