Navigating Resistance: The Role of Data Governance in Smart Health Monitoring Systems

Abstract

Smart health monitoring systems (SHMSs) have encountered resistance and limited adoption from various stakeholders, including consumers and healthcare professionals, primarily due to psychological and functional barriers to SHMSs. Drawing on innovation resistance theory and data governance mechanisms, this mixed-methods study aims to investigate the impact of data governance on the associated concerns and barriers, thereby shedding light on the resistance to SHMSs. The findings reveal that procedural data governance mechanisms are more influential than structural and relational mechanisms in reducing user resistance to SHMSs. Cultural and religious differences within procedural data governance significantly influence both privacy concerns and functional barriers to SHMSs. Gender differences also play a crucial role in how data governance mechanisms are perceived, with certain aspects showing significant effects on male users.