Zhang, JingjingHassandoust, FarkhondehJohnston, Allen C2025-02-242025-02-242024Australasian Conference on Information Systems (ACIS) 2024. Canberra. 4-6 December 2024. Proceedings. 55. https://aisel.aisnet.org/acis2024/55http://hdl.handle.net/10292/18761Smart 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.Copyright © 2024 Jingjing Zhang, Farkhondeh Hassandoust and Allen C. Johnston. This is an open-access article licensed under a Creative Commons Attribution-Non-Commercial 4.0 Australia License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.innovation resistance theory, data governance, privacy, functional barriers, smart health monitoringConference ContributionOpenAccess