Predicting user cognitive predisposition to quality information technology: Toward practices in eHuman Resource Management

Abstract

The use of Information Technology (IT) to support the Human Resource Management (HRM) function continues to receive attention from diverse strands of scholarly rendition. Over the years many of these strands have focused attention on perception to the neglect of user  cognition which this study believes presents interesting dimensions in terms of how IT quality is determined. Conceptualising the mechanics for the determination of cognition of information quality, the study draws on three factors which include convenience, ease of use and reliability as the means of building cognition for meaningful e-HRM practices. Drawing on the techniques of quantitative research tradition in data collection, the study applies the fundamental assumptions of Structural Equation Modelling (SEM) to analyse the data via the instrumentality of SmartPLS to test all three hypotheses. Findings suggest reliability is the only dimension that has the most significant  impact on users‟ cognition of quality IT on the meaningful e-HRM practices. Managerial and research implications were recommended for further studies.

Key Words: E-HRM, Cognition, Ease, Use, Reliability, Convenience, Information, quality