Big data and human resource management: paving the way toward sustainability
Purpose This paper aims to examine the influence of big data (BD) on human resource
management (HRM). It defines how these data can be a useful tool in the decision-making …
management (HRM). It defines how these data can be a useful tool in the decision-making …
Process mining meets causal machine learning: Discovering causal rules from event logs
This paper proposes an approach to analyze an event log of a business process in order to
generate case-level recommendations of treatments that maximize the probability of a given …
generate case-level recommendations of treatments that maximize the probability of a given …
Prescriptive process monitoring for cost-aware cycle time reduction
Reducing cycle time is a recurrent concern in the field of business process management.
Depending on the process, various interventions may be triggered to reduce the cycle time …
Depending on the process, various interventions may be triggered to reduce the cycle time …
Prescriptive process monitoring based on causal effect estimation
Prescriptive process monitoring methods seek to control the execution of a business process
by triggering interventions, at runtime, to optimise one or more performance measure (s) …
by triggering interventions, at runtime, to optimise one or more performance measure (s) …
Using big data to improve safety performance: an application of process mining to enhance data visualisation
The management of health and safety plays an important role in safety performance, and is
therefore an important foundational element in an organisation's overall sustainable …
therefore an important foundational element in an organisation's overall sustainable …
[PDF][PDF] Review of Human Resource Management (HRM) Literature: A bibliometric Analysis (1981-2019).
N Akther, MA Al Mamun, MAK Azad… - DLSU Business & …, 2022 - researchgate.net
This study reviews Human Resource Management (HRM) literature by adopting a hybrid
research approach-bibliometric analaysis and content analysis-on 1802 documents from the …
research approach-bibliometric analaysis and content analysis-on 1802 documents from the …
[HTML][HTML] A doubly robust approach for impact evaluation of interventions for business process improvement based on event logs
Accurately measuring the causal effects of business process interventions is crucial for
effective process improvement and evidence-based decision-making. When randomized …
effective process improvement and evidence-based decision-making. When randomized …
Establishment-level safety analytics: a scoping review
The use of data analytics has seen widespread application in fields such as medicine and
supply chain management, but their application in occupational safety has only recently …
supply chain management, but their application in occupational safety has only recently …
Progressing from process mining insights to process improvement: challenges and recommendations
Many organizations have adopted process mining to analyze their business processes, gain
insights into their performance, and identify improvement opportunities. Several academic …
insights into their performance, and identify improvement opportunities. Several academic …
Discovery of path-attribute dependency in manufacturing environments: A process mining approach
AC Choueiri, EAP Santos - Journal of Manufacturing Systems, 2021 - Elsevier
The more knowledge industrial practitioners detain of their production processes, the more
they are capable of performing process improvements. Nonetheless, there may exist …
they are capable of performing process improvements. Nonetheless, there may exist …