Abstract
Human Resource Analytics has been heralded as a wonderful tool with vast benefits for organizations; however, the perspective of current and potential employees is missing from this emerging field of research. To address this gap, we introduce a measure of Belief in Analytics (BIA) to explore reactions to analytics as a HR tool. In doing so, we examine antecedents of BIA, as well as how BIA influences the intended use of data analytic information for making employment decisions. These relationships were evaluated using individuals currently seeking or recently accepting employment (last semester undergraduate students) and individuals with diverse work experience (collected using Amazon’s Mechnical Turk). Results indicate that conventional interest type and exposure to analytics predicts BIA, and that intention to use data analytics differs across employment decision stages. Building on these findings, we discuss the implications for research and practice.
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