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Review of Managerial Science
Published in: Review of Managerial Science 6/2023

08-04-2023 | Editorial

The evolution of HRM practices: big data, data analytics, and new forms of work

Authors: Yumei Yang, Saqib Shamim, Dinuka B. Herath, Davide Secchi, Fabian Homberg

Published in: Review of Managerial Science | Issue 6/2023

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Excerpt

Today’s digital economy presents HRM with new challenges related to changes in the “language” of business. In fact, firms rely ever more heavily on employees skilled in understanding both the language of business operations and that of business-related data. However, often employees do not have the combined skills of data analytics and management. With the relative ease with which data is available from digital sources and the increase in computational power, employees are often called to make data driven decisions that affect firm standard operations, functions, and eventually performance. Consequently, value creation through (big) data does not solely depend on a firm’s ability to analyze big data, but it also requires management capabilities such as leadership, training, talent management, employee upskilling and the creation of an evidence-based, data-driven culture (Mcafee et al. 2012; Rodgers et al. 2023). …
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next article Human-related capabilities in big data analytics: a taxonomy of human factors with impact on firm performance

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Literature
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Metadata
Title
The evolution of HRM practices: big data, data analytics, and new forms of work
Authors
Yumei Yang
Saqib Shamim
Dinuka B. Herath
Davide Secchi
Fabian Homberg
Publication date
08-04-2023
Publisher
Springer Berlin Heidelberg
Published in
Review of Managerial Science / Issue 6/2023
Print ISSN: 1863-6683
Electronic ISSN: 1863-6691
DOI
https://doi.org/10.1007/s11846-023-00648-7

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