Perceived human resource management practices: Their effect on employee absenteeism and time allocation at work (2014) by Corine Boon, Frank Belschak, Deanne den Hartog, and Mark Pijnenburg
HRM, Communication, satisfaction, and perceived performance: A cross-level test (2013) by Deanne den Hartog, Corine Boon, Robert Verburg, and Marcel Croon
5 Reasons why your In-house HR assessment will fail (and how to avoid that), (2020), by Juliana Guedes Almeida
How to best approach HR strategy implementation, by Corine Boon
Narcisstic leaders: How to avoid when hiring (2023), (blog), by Annebel de Hoogh and Corine Boon
Harmful leader behaviors: Toward an increased understanding of how different forms of unethical leader behavior can harm subordinates (2021) by Juliana Guedes Almeida, Deanne den Hartog, Annebel de Hoogh, Vithor Rosa Franco and Juliana Barreiros Porto
Tainted visions: The effect of visionary leader behaviors and leader categorization tendencies on the financial performance of ethnically diverse teams (2012) by Lindred Greer, Astrid Homan, Annebel de Hoogh, and Deanne den Hartog
Building prediction models with grouped data: A case study on the prediction of turnover intention (2021) by Shuai Yuan, Brigitte Kroon, and Astrid Kramer
Analyzing resilience and well-being at work: a multi-level perspective (2020), by Joanna Sosnowska
How to measure employee experience?, by Corine Boon
Big five personality influences trajectories of information seeking behavior (2021) by Zhuoran Zhang, Xiang Yao, Shuai Yuan, Yingxin Deng, and Chao Guo
The benefits of integrating creativity and data analytics (2020), by Yan Shao
Text mining in organizational research (2018) by Vladimer Kobayashi, Stefan Mol, Hannah Berkers, Gábor Kismihók, and Deanne den Hartog
Text classification for organizational researchers: A tutorial (2018) by Vladimer Kobayashi, Stefan Mol, Hannah Berkers, Gábor Kismihók, and Deanne den Hartog
Revealing subgroups that differ in common and distinctive variation in multi-block data: Clusterwise sparse simultaneous component analysis (2021) by Shuai Yuan, Kim de Roover, Michael Dufner, Jaap Denissen, and Katrijn van Deun
The role of a reference synthetic data generator within the field of learning analytics (2016) by Alan Berg, Stefan Mol, Gábor Kismihók. and Niall Sclater
Labour market friven learning analytics (2014) by Vladimir Kobayashi, Stefan Mol, and Gábor Kismihók
Learning through goal setting (2016) by Stefan Mol, Vladimir Kobayashi, Gábor Kismihók, and Catherine Zhao
OntoJob: Automated ontology learning from labor market data (2022) by Jarno Vrolijk, Stefan Mol, Christian Weber, Mohammdreza Tavakoli, Gábor Kismihók, and Mauro Pelucchi