The dark sides of people analytics: reviewing the perils for organisations and employees
LM Giermindl, F Strich, O Christ… - European Journal of …, 2022 - Taylor & Francis
Technological advances in the field of artificial intelligence (AI) are heralding a new era of
analytics and data-driven decision-making. Organisations increasingly rely on people …
analytics and data-driven decision-making. Organisations increasingly rely on people …
Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities
M Seyedan, F Mafakheri - Journal of Big Data, 2020 - Springer
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …
Human resources analytics: A systematization of research topics and directions for future research
A Margherita - Human Resource Management Review, 2022 - Elsevier
The management of human resources is today significantly impacted by the emergence of
the global workforce and the increasing relevance of business analytics as a strategic …
the global workforce and the increasing relevance of business analytics as a strategic …
Smart production planning and control in the Industry 4.0 context: A systematic literature review
Scholars and practitioners have considered Industry 4.0 a comprehensive set of emerging
technologies that establish a new industrial perspective based on the “Internet of Things”. As …
technologies that establish a new industrial perspective based on the “Internet of Things”. As …
The smart factory as a key construct of industry 4.0: A systematic literature review
Industry 4.0 is a ubiquitous term throughout general newspapers, on company websites or in
scientific journals. One of its key constructs is the smart factory, envisioned as a future state …
scientific journals. One of its key constructs is the smart factory, envisioned as a future state …
[HTML][HTML] Prescriptive analytics: Literature review and research challenges
K Lepenioti, A Bousdekis, D Apostolou… - International Journal of …, 2020 - Elsevier
Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …
intelligent decisions with the aim to create business value. To date, the major focus in the …
Big data analytics in supply chain management: A state-of-the-art literature review
The rapidly growing interest from both academics and practitioners in the application of big
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …
The challenges of algorithm-based HR decision-making for personal integrity
Organizations increasingly rely on algorithm-based HR decision-making to monitor their
employees. This trend is reinforced by the technology industry claiming that its decision …
employees. This trend is reinforced by the technology industry claiming that its decision …
Understanding big data analytics for manufacturing processes: insights from literature review and multiple case studies
Today, we are undoubtedly in the era of data. Big Data Analytics (BDA) is no longer a
perspective for all level of the organization. This is of special interest in the manufacturing …
perspective for all level of the organization. This is of special interest in the manufacturing …
Big data analytics in sustainable supply chain management: A focus on manufacturing supply chains
J Mageto - Sustainability, 2021 - mdpi.com
Sustainable supply chain management has been an important research issue for the last
two decades due to climate change. From a global perspective, the United Nations have …
two decades due to climate change. From a global perspective, the United Nations have …