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 …

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 …

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 …

Smart production planning and control in the Industry 4.0 context: A systematic literature review

A Bueno, M Godinho Filho, AG Frank - Computers & industrial engineering, 2020 - Elsevier
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 …

The smart factory as a key construct of industry 4.0: A systematic literature review

P Osterrieder, L Budde, T Friedli - International Journal of Production …, 2020 - Elsevier
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 …

[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 …

Big data analytics in supply chain management: A state-of-the-art literature review

T Nguyen, Z Li, V Spiegler, P Ieromonachou… - Computers & operations …, 2018 - Elsevier
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 …

The challenges of algorithm-based HR decision-making for personal integrity

U Leicht-Deobald, T Busch, C Schank, A Weibel… - Business and the Ethical …, 2022 - Springer
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 …

Understanding big data analytics for manufacturing processes: insights from literature review and multiple case studies

A Belhadi, K Zkik, A Cherrafi, MY Sha'ri - Computers & Industrial …, 2019 - Elsevier
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 …

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 …