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Exploration and Practice of Digital Teaching of Customs Declaration and Inspection Practice Course Based on CTCL Paradigm Unified UTAUT Model
DOI: https://doi.org/10.62381/H241C02
Author(s)
Huihong Liu, Dan Peng*, Yixuan Li, Jin Huang, Yuxi Liu, Jiayang Li ,Jiaqi Zhang
Affiliation(s)
College of Business, Hunan Women’s University, Changsha, China *corresponding author
Abstract
This paper aims to explore users' willingness to adopt the customs declaration and inspection platform, utilizing both the CTCL model and the UTAUT model. The study targets users of customs declaration and inspection platforms, with a sample size of 198 valid responses. PLS-SEM analysis was employed to investigate the factors influencing users' acceptance of the platform. The results reveal that culture positively impacts performance expectancy and social influence; technology significantly affects performance expectancy, effort expectancy, and facilitating conditions; content positively influences effort expectancy; and learner characteristics notably affect social influence. This research integrates the CTCL model into the UTAUT framework, extending our understanding of how users engage with customs clearance platforms. The findings suggest that system developers should focus on improving the quality of the platform to enhance user willingness to adopt it.
Keywords
CTCL; UTAUT; Customs Declaration and Inspection Platform
References
[1]Abbad, M. M. (2021). Using the UTAUT model to understand students' usage of e-learning systems in developing countries. education and information Education and information technologies, 26(6), 7205-7224. [2]Ab Hamid M R, Sami W, Sidek M H M. (2017). Discriminant validity assessment: use of Fornell & Larcker criterion versus HTMT criterion[C]//Journal of physics. Conference series. iop Publishing, 890(1): 012163. [3]Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10-114. [4]Chang, S.J., van Witteloostuijn, A. and Eden, L. (2010), "From the editors: common method variance in international business research ", Journal of International Business Studies, Vol. 41 No. 2, pp. 178-184. [5]Dong Yuqi, Wang Jing, Yi Liangliang, et al. (2012). CTCL: A new paradigm for educational technological research (1) - Basic conceptualization and preliminary research. Journal of Distance Education, (2):3-14. [6]Fornell C, Larcker D F. (1980). The use of canonical corrtction analysis in accouting research. Journal of Business Finance & Accounting, 7(3). [7]Gu Wei, Zhang Huilun, Dong Yuqi. (2023). Practice and exploration of personalized learning based on learning technology (CTCL). Journal of Shanghai Education, (01): 54-55. [8]Hair, J.F., Jr, Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, 7th ed. Prentice-Hall Inc., Englewood Cliffs, NJ. [9]Jonassen, D.H. (1997). Instructional design model for well -structured and ill -structured problem -solving learning outcomes . Journal of Educational Technology: Research and Development, 45 (1): 65-95. [10]Lai, P. et al. (2020). Impact of Digital Teaching on Students' Learning Willingness and Social Influence in Practical Courses. Journal of Educational Technology, 58(4), 291 Journal of Educational Technology, 58(4), 291-305. [11]Liu, Meifeng. (2003). The Establishment of the Positioning of Educational Technology in a Broad Sense. Journal of China Electronic Education, 2003,(6). [12]Marinković, V., Đorđević, A., & Kalinić, Z. (2020). The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective. technology Analysis & Strategic Management, 32(3), 306-318. [13]Raman, A., & Rathakrishnan, M. (2018). Frog VLE: Teachers' technology acceptance using UTAUT model. International Journal of Mechanical Engineering and Technology, 9(3), 529 -538. [14]Rosipal R, Krämer N. (2005) Overview and recent advances in partial least squares. International Statistical and Optimization Perspectives Workshop " Subspace, Latent Structure and Feature Selection". Berlin, Heidelberg: Springer Berlin Heidelberg, 34-51. [15]Šumak, B., Heričko, M., Polančič, G., & Pušnik, M. (2010). Investigation of e-learning system acceptance using UTAUT. International Journal of Engineering Education, 26(6), 1327. [16]Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. mis quarterly, 425-478. [17]Venkatesh, V., Thong, J. Y., Chan, F. K., Hu, P. J. H., & Brown, S. A. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information systems journal, 21(6), 527-555. [18]Wu W. (2019) .Research on the teaching design of higher vocational "Customs Brokerage Practice" course under the vision of CTCL. Hunan Normal University. [19]Xie H,Chu H C,et al.(2019). Trends and development in technology enhanced adaptive/personalized learning:A systematic review of journal publications from 2007 to 2017 .Computers & Education,2019,140(October):1-16. [20]Yang T, Lai I K W, Fan Z B, et al. (2021). Interactive service quality on the acceptance of self-service ordering systems for the restaurant industry. Journal of Hospitality and Tourism Technology, 12(2): 271-286. [21]Zhao, Yuyang, and Fernando Bacao.(2020). "A comprehensive model integrating UTAUT and ECM with espoused cultural values for investigating users' continuance intention of using mobile payment." Proceedings of the 3rd International Conference on Big Data Technologies.
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