Title of article :
Domain driven data mining in human resource management: A review of current research
Author/Authors :
Strohmeier، نويسنده , , Stefan and Piazza، نويسنده , , Franca، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Abstract :
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.
Keywords :
Domain driven data mining , DATA MINING , HRM , HR data mining , Electronic human resource management (e-HRM) , literature review
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications