An evidence-based review of HR Analytics
By Janet H. Marler, John W. Boudreau. 2017
722 citations recorded by the source corpus.
Subfields: Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/614cd088358424fc2a9416e77859201d1d4b536e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Organizational Behavior and Human Resource Management
- Michael Christofi
- Samuel Chng
- Demetris Vrontis
- C. Arun
- Brigid Trenerry
- Stefan Strohmeier
- Zainal Shah Suhaila
- Peng Ho Oh
Citations in the corpus
- Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review (2021, background): “Having selected our publication outlets and following other state-of-the-art systematic reviews, we limited our research to full-length, academic peer-reviewed publications written in the English language (Marler & Boudreau, 2017; Sheehan et al., 2010).”
- Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “…increase in studies from business and strategic information systems (Matt et al., 2015; Hess et al., 2016), human resources (Bondarouk et al., 2017; Marler and Boudreau, 2017), and healthcare (Agarwal et al., 2010; Burton-Jones et al., 2020), suggesting that digital disruption is increasing in a…”
- Digital human resource management: A conceptual clarification (2020, background): “Rather than merely improving HR information provisions, HRA constitutes a broad and ambitious concept for the entire HR domain (e.g. Marler and Boudreau, 2017).”
- Rebooting employees: upskilling for artificial intelligence in multinational corporations (2021, background): “…human resource discipline is replete with studies on the interface between technology and human resources (Bondarouk & Brewster, 2016; Bondarouk et al., 2017; Marler & Boudreau, 2017), recent developments with respect to AI have received scant attention from academicians (Meijerink et al., 2018).”