Factors affecting the acceptance and effectiveness of electronic human resource systems

Electronic human resource (eHR) systems are being used with increasing frequency in organizations. However, there is relatively little research on factors that influence the degree to which they result in functional versus dysfunctional consequences for individuals and organizations. Thus, the major purposes of this article are to: (a) present a model that relates a number of antecedents to such consequences, (b) describe the impact of individual and eHR system characteristics on four important eHR-related variables (i.e., information flows, social interactions, perceived control, and system acceptance), (c) offer a set of hypotheses that can be used to guide research on eHR systems, and (d) advance recommendations for the design of such systems.