Exploring the Role of Multimodal People Analytics Platforms in Enhancing Human Resource Management Practices
摘要
In the digital age, the integration of multimodal software platforms has transformed Human Resource Management (HRM), enabling more informed decision-making through advanced data analytics. This paper investigates HR professionals’ experiences and perspectives on multimodal People Analytics Platforms (PAPs), such as Tableau, specifically focusing on the inclusivity embedded in data-driven decision-making processes. By examining how HR professionals engage with these platforms, particularly regarding their emotional, cognitive, and behavioral interactions, the study explores the extent to which inclusivity considerations are integrated into decision-making workflows. Through a qualitative research design rooted in Multimodal Social Semiotics (MSS) and Critical Discourse Analysis (CDA), this research highlights the importance of user-centered design and its influence on inclusive practices. MSS and CDA were chosen for their ability to reveal underlying power dynamics and biases in HR decision-making processes. The findings emphasize the role of emotional states, community engagement, and accumulated professional capital in shaping how HR professionals utilize analytical tools, providing practical implications for designing more inclusive HR technologies.