With the deepening implementation of the Healthy China strategy and the continuous growth of public demand for health information, public libraries, as vital social knowledge service institutions, have identified the development and promotion of health information service platforms as a key initiative to enhance their service effectiveness. Adopting a user-centric perspective, this study investigates the factors influencing users' continuance intention towards these platforms. The findings indicate that information quality significantly and positively influences perceived usefulness; service quality significantly and positively influences user satisfaction; system quality significantly and positively influences continuance intention; perceived usefulness significantly and positively influences continuance intention; and user satisfaction significantly and positively influences continuance intention. This research provides a practical basis for public libraries to optimize health information services and enhance user retention, offering valuable insights for promoting service innovation in public libraries and the dissemination of health information.

Shuqi Li. Factors Influencing Users' Continuance Intention towards Public Library Health Information Service Platforms. Academic Journal of Humanities & Social Sciences (2025), Vol. 8, Issue 11: 1-6. https://doi.org/10.25236/AJHSS.2025.081101.

[1] Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J].Mis Quarterly,1989(3):319-340.

[2] Davis FD. A technology acceptance model for empirically testing new end-user information system : theory and results[D].Cambridge: MIT Sloan School of Management,1986.

[3] Brucks M. The effects of product class knowledge on information search behavior[J]. Journal of Consumer Research,1985(1):1-16.

[4] Wu C G, Wu P Y. Investigating user continuance intention toward library self-service technology[J]. Library HiTech,2019,37(3).

[5] Park T Y, Nam J W. A study of structural relationship on intention to accept technology of potential users in university library mobile self check-out service[J].Journal of the Korean Biblia Society for Library and Information Science,2017,28(4).

[6] Davis F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS Quarterly,1989(3).

[7] Bhattacherjee A. Understanding information systems continuance: an expectation-confirmation model[J].MIS Quarterly,2001(3).

[8] Venkatesh V, Davis F D. A theoretical extension of the technology acceptance model: four longitude in all field studies[J].Management Science,2000,46(2).

[9] DeVet H C W, Mokkink L B, Mosmuller D G, et al. Spearman-Brown prophecy for mula and Cronbach's alpha: different faces of reliability and opportunities for new applications[J].Journal of Clinical Epidemiology,2017,85(3):14-16.