This paper aims to evaluate and analyze the factors affecting the behavioral intention of fine arts undergraduates in Chengdu University in their continuous use of digital library after using digital library platform.The conceptual model constructed in this study is based on the digital acceptance model (TAM), and five potential variables, namely perceived ease of use (PEOU), perceived usefulness (PU), satisfaction (SA), effort expectation (EE) and convenience (FC), are set in the hypothesis section to have a significant impact on behavioral intention (BI).In this paper, quantitative research is carried out, and small-scale internal consistency reliability is analyzed by extracting fine arts undergraduates from Chengdu University.

Fu Ying. Research on the influencing factors of continuous use behavior of users of digital library platform based on TAM. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 11: 1-6. https://doi.org/10.25236/FSST.2023.051101.

[1] Noh Y. Imagining library 4 0: creating a model for future libraries[J]. Journal of academic librarianship,2015, 41(6):786-797.

[2] Oliver R L. A cognitive model of the antecedents and consequences of satisfaction decisions[J]. Journal of Marketing Research, 1980, 17(4):460-469.

[3] Alharbi, S., Drew, S. Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems[J]. International Journal of Advanced Computer Science and Applications, 2014, 5(1):143-155.

[4] Tarhini, A., Elyas, T. Technology, demographic characteristics and e-learning acceptance: a conceptual model based on extended technology acceptance model[J]. Higher Education Studies, 2016, 6(3):72-89.

[5] Xu Shun, Tian Xiaoxiang. Study on the influencing factors of users' willingness to use online learning platform based on TAM[J]. China Educational Informanization, 2020(8):78-85.

[6] Virvou,M., Katsionis,G. On the usability and like ability of reality games for education:The case of VR-ENGAGE[J]. comput.Educ.2008(50):154-178.

[7] Shaema,S.,Dick,G.,Chin,W.,Land,L. Self-Regulation and E-Learning; University of St Gallen[R]. Switzweland,2007.

[8] Teo, T. A path analysis of pre-service teachers’ attitudes to computer use: applying and extending the technology acceptance model in an educational context[J]. Interactive Learning Environments, 2010, 18(1):65-79.

[9] Wong G K W .Understanding technology acceptance in pre-service teachers of primary mathematics in Hong Kong[J].Australasian Journal of Educational Technology, 2015, 31(6):713-735.

[10] Wang W , Zhao Y , Wu Y J ,et al.Interaction strategies in online learning: Insights from text analytics on iMOOC[J].Education and Information Technologies, 2022:1-28.

[11] Liaw, S. Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the blackboard system[J]. Comput. Educ. 51, 864-873. 

[12] Yoo S J , Han S H , Huang W .The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea[J].Computers in Human Behavior, 2007, 23(3):942-950.

[13] Bellaaj M , Zekri I , Albugami M .The continued use of e-learning system: An empirical investigation using UTAUT model at the University of Tabuk[J].Journal of Theoretical and Applied Information Technology, 2015, 72(3):464-474.

[14] Mitja Dečman.Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender[J].Computers in Human Behavior, 2015, 49(23):272-281.

[15] Ain N U , Kaur K , Waheed M .The influence of learning value on learning management system use[J].Information Development, 2016,32:1306-1321.  

[16] Bhattacherjee, A. Understanding information systems continuance: An expectation-confirmation model[J]. MIS Quarterly 2001, (25):351. 

[17] Rovinelli J, Hambleton K. On the Use of Content Specialists in Assessment of Criterion Referenced Test Item Validity, [J]. Dutch Journal of Education Research, 1997(2):49-60.

[18] Halabí V, More-Espuivel R. Sample Sizes Using Structural Equation Modeling with Latent Variables, [J]. A Practical Method. Actualidades Investigativas en Education, 2017,17(1):1-34.

[19] Isaac, S., Michael W. B., Handbook in Research and Evaluation: A Collection of Principles, Methods, And Strategies Useful in The Planning, Design, And Evaluation of Studies in Education and The Behavioral Sciences. 3rd ed. [M]. San Diego, CA: Edits Publishers Press, 1995:194-195.