Relationship between Performance Expectancy, Effort Expectancy and Decision Making Through HR Analytics

The efficient application of Human Resources (HR) analytics has become essential in the constantly evolving world of contemporary enterprises. In the context of HR analytics, this study explores the complex interactions between Performance Expectancy, Effort Expectancy, and Decision Making. While Effort Expectancy concentrates on the perceived ease of utilizing these tools, Performance Expectancy shows employees' views in the effectiveness of HR analytics tools in increasing job performance and organizational success. Organizations looking to maximize their HR strategy must comprehend how these aspects affect decision-making. This study examines the body of research to reveal the substantial impact that Performance Expectancy and Effort Expectancy have on employees' use of HR analytics tools. The results show the significance of encouraging positive perceptions about the benefits of employing HR analytics, in addition to underscoring the significance of user-friendly interfaces. By recognizing this connection, companies can build user-friendly analytics solutions that improve employee engagement and enable data?driven decisions, which are essential for organizational growth and competitiveness.