Domain driven data mining in human resource management: A review of current research

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An increasing number of publications concerning data mining in the subject of human resource management (HRM) indicate the presence of a prospering new research field. The current paper reviews this research on HR data mining to systematically uncover recent advancements and suggest areas for future work. Based on the approach of domain driven data mining, an initial framework with significant domain-specific requirements is elaborated. Relevant research contributions are identified and reviewed against the background of this framework. The review reveals that HRM constitutes a noteworthy new domain of data mining research that is dominated by method- and technology-oriented work. However, specific domain requirements, such as evaluating the domain success or complying with legal standards, are frequently not recognized or considered in current research. Therefore, the systematic consideration of domain-specific requirements is demonstrated here to have significant implications for future research on data mining in HRM.

论文关键词:Data mining,HRM,Literature review,Domain driven data mining,HR data mining,Electronic human resource management (e-HRM)

论文评审过程:Available online 5 December 2012.

论文官网地址:https://doi.org/10.1016/j.eswa.2012.10.059