In this paper, we explore the factors influencing the adoption of Human Resources (HR) Analytics by HR professionals in large Palestinian enterprises. A convenience sample of 151 HR professionals from the service and manufacturing sectors participated in a questionnaire-based survey. The study identified self-efficacy, performance expectancy, effort expectancy, resource availability, quantitative self-efficacy, data availability, and social influence as the most significant factors positively influencing individual acceptance and adoption of HR Analytics. Fear appeals, on the other hand, had no significant effect. The study proposes a conceptual framework to help policymakers in organizations understand how to adopt HR Analytics.

Title

Information Sciences Letters

Publisher

Natural Sciences Publishing

Publisher Country

United States of America

Indexing

Scopus

Impact Factor

2.25

Publication Type

Both (Printed and Online)

Volume

12

Year

2023

Pages

3193-3204