[1]. Davis, F. D. (1986). A technology acceptance model for empirically testing new end user information systems: Theory and results (Doctoral dissertation). MIT Sloan School of Management, Cambridge, MA.

[2]. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 318-340.

[3]. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions, and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.

[4]. Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human-Computer Studies, 45(1), 19-45.

[5]. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 45(2), 186-204.

[6]. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

[7]. Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50, 2572-2593. https://doi.org/10.1111/BJET.12864

[8]. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.

[9]. McCoy, S., Galletta, D., & King, W. R. (2007). Applying TAM across cultures: The need for caution. European Journal of Information Systems, 16, 81-90. https://doi.org/10.1057/palgrave.ejis.3000659

[10]. King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43, 740-755. https://doi.org/10.1016/j.im.2006.05.003

[11]. Li, Y., Chung, S.-H., Wen, X., & Zhou, S. (2023). Towards the sustainable economy through digital technology: A drone-aided after-sales service scheduling model. Applied Soft Computing Journal, 138.

[12]. Galvani, S., Carloni, E., Bocconcelli, R., & Pagano, A. (2022). From after-sales to advanced services: A network analysis on the impacts of digital servitization evolution. Sustainability, 14(14).

[13]. Yang, W. (2022). Research on the digital transformation of XYZ Group's after-sales service platform [Doctoral dissertation]. South China University of Technology.

[14]. Chen, J. (2022, March 28). Deconstructing the "opening way" of those "Ice-breaking Spring" physical stores. Zhoushan Daily, (003).

[15]. Power, J. D. (2020). Automobile manufacturers need to focus on creating a complete and continuous digital after-sales service experience. Automotive & Parts, (22), 59.

[16]. Cao, S., & Li, B. (2015). Digital information platform of medical equipment after-sales service. China Journal of Medical Devices, 39(01), 74-76.

[17]. Derber, A., & Li, X. (2019). The digitization of after-sales service market needs continuous exploration. Aeronautical Maintenance & Engineering, (11), 28-29.

[18]. Gottlieb, C., & Li, X. (2019). The digitization of after-sales service market will intensify mergers and acquisitions. Aeronautical Maintenance & Engineering, (02), 19.

[19]. Zhang, Z. (2002). Digital network after-sales service system. High-tech Communication, (04), 1-3+26.

[20]. Han, W., Niu, D., & Senjyu, T. (2017). Study on influence factors of electric vehicles charging station location based on ISM and FMICMAC. Sustainability, 9(4).

[21]. Schmidt, M., Staudt, P., & Weinhardt, C. (2020). Evaluating the importance and impact of user behavior on public destination charging of electric vehicles. Applied Energy, 258(C).

[22]. Kong, W., Luo, Y., Feng, G., Li, K., & Peng, H. (2019). Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow, and power grid. Energy, 186.

[23]. Zang, H., Fu, Y., Chen, M., Shen, H., Miao, L., Zhang, S., Wei, Z., & Sun, G. (2018). Bi-level planning model of charging stations considering the coupling relationship between charging stations and travel route. Applied Sciences, 8(7).

[24]. Zenginis, I., Vardakas, J. S., Zorba, N., & Verikoukis, C. V. (2016). Analysis and quality of service evaluation of a fast charging station for electric vehicles. Energy, 112.

[25]. Bayram, I. S., Tajer, A., Abdallah, M., & Qaraqe, K. (2015). Capacity planning frameworks for electric vehicle charging stations with multiclass customers. IEEE Transactions on Smart Grid, 6(4).

[26]. Cheng, D. (2023). Survey on intelligent knowledge popularization of the elderly based on TAM-TPB model. Smart City, 9(12), 99-101. https://doi.org/10.19301/j.carolcarroll.nki.ZNCS.2023.12.030

[27]. Zheng, X., & Chen, Y. (2023). Research on influencing factors of college students' computational thinking based on TAM model. Information Technology for Education, (12), 32-35.

[28]. Yan, H., Gao, J., Li, C., et al. (2019). Study on county residents' willingness to use the internet medical platform of the medical community based on TAM model. Chinese Rural Health Service Administration, 43(12), 843-849. https://doi.org/10.19955/j.cnki.1005-5916.2023.12.002

[29]. Li, J., He, Y., & Zhou, Q. (2023). Study on the influence of negative personal information of internet celebrities on consumers' repurchase intention and countermeasures based on TAM model. Journal of Jiangsu University of Science and Technology (Social Sciences Edition), 23(04), 95-102. https://doi.org/10.16148/j.cnki.cn32-1743/c.2023.04.010

[30]. Han, T., Lu, Z., Peng, P., et al. (2023). Study on prefabricated food use will influence factors based on TAM model. Circulation of the National Economy, (23), 13-16. https://doi.org/10.16834/j.carolcarroll.nki.issn1009-5292.2023.23.007

[31]. Su, M., & Chen, M. (2023). Study on the impact of large-scale sports events on residents' intention to participate in physical exercise based on TAM model. In Chinese Society of Sports Science, 13th National Sports Science Conference Special Report (Sports Statistics Branch). Chengdu Sports Institute. https://doi.org/10.26914/c.nkihy.2023.061716

[32]. Cheng, Y., & Wu, Y. (2023). Research on influencing factors of user stickiness in fitness broadcast room based on ELM model. In Chinese Society of Sports Science, 13th National Sports Science Conference -- Wall Poster (Sports Industry Branch). Shanghai Sports Institute. https://doi.org/10.26914/c.nkihy.2023.068067

[33]. Yang, J., Du, T., & Zang, W. (2019). Study on influencing factors of patients' willingness to first visit based on extended TAM-TPB integration model. Journal of Medical Informatics, 44(09), 56-61+73.

[34]. Li, H. (2023). A study on behavioral intention in online college English learning based on TAM model. Overseas English, (18), 128-131+152.

[35]. Zhe, M. (2023). Research on user adoption status and influencing factors of new government media based on TAM model. New Media Research, 9(17), 28-32. https://doi.org/10.16604/j.carolcarroll.nki.issn2096-0360.2023.17.008

[36]. Sang, X. (2019). Analysis of influencing factors of digital RMB usage intention based on Logistic and TAM models. Science and Technology and Industry, 23(16), 57-62.

[37]. Liu, Y., Huang, X., & Yan, T. (2023). Research on acceptability of integrated platform of expressway construction management based on TAM. Highway Engineering, 48(04), 167-173. https://doi.org/10.19782/j.cnki.1674-0610.2023.04.025

[38]. Zhai, Y., Luo, B., Wang, Y., et al. (2019). Influencing factors of patients' willingness to share medical data: Combining improvement planning behavior theory (TPB) and technology acceptance model (TAM). Science and Technology Management Research, 43(16), 235-244.

[39]. Zhang, Y., & Ke, H. (2019). Research on virtual simulation technology acceptance and teaching innovation from the perspective of extended TAM and TTF integration. Modern Information Technology, 7(14), 177-183. https://doi.org/10.19850/j.cnki.2096-4706.2023.14.037

[40]. Zhang, N., Ren, W., Liang, S., et al. (2023). Research on influencing factors of users' intention to use digital reading extension service in library: Based on TAM/AISAS model. Library Work and Study, (7), 18-28. https://doi.org/10.16384/j.carolcarroll.nki.lwas.2023.07.011

[41]. Wu, X., Zhang, W., Li, S., et al. (2023). Research on the chain influence mechanism of intelligent investment advisor user adoption intention based on Technology Acceptance Model (TAM). Journal of Zhejiang University (Humanities and Social Sciences Edition), 53(07), 5-19.

[42]. Wan, C. (2023). A study on the influencing factors of consumers' continuous use behavior of cross-border e-commerce platforms based on TAM model [Doctoral dissertation, Hebei University].

[43]. Zhang, B. (2023). Research on the willingness to use digital RMB based on TAM-TOE model [Doctoral dissertation, Beijing University of Posts and Telecommunications].

[44]. Sun, B., & Guo, Y. (2023). Study on the impact of cultural heritage digitization on national heritage responsibility: Model construction based on TTF and TAM. Tourism Science, 5(3), 71-85. https://doi.org/10.16323/j.carolcarroll.nki.lykx.2023.03.009

[45]. Zhang, X., Yang, H., & Xu, H. (2023). Self-help vending machine behavior will influence factors based on TAM model. Circulation of the National Economy, (12), 28-31. https://doi.org/10.16834/j.carolcarroll.nki.issn1009-5292.2023.12.043

[46]. Zhang, T. (2023). Research on influencing factors of information resource utilization efficiency of government websites based on TAM and TTF [Doctoral dissertation, Tianjin Normal University]. https://doi.org/10.27363/dc.nki.Gtsfu.2023.000549

[47]. Li, J., & Yu, D. (2024). An analysis of users' perceived usefulness of scientific data sharing platform: A case study of National Science and Technology Basic Conditions Platform. Intelligence Magazine, 1-7. Retrieved from http://kns.cnki.net/kcms/detail/61.1167.G3.20230602.1038.016.html

[48]. Zhuo, S. (2023). Study on the influencing factors of user attitude of "Yuedaohuan" fitness APP based on TAM model [Doctoral dissertation, Chengdu Sports Institute]. https://doi.org/10.26987/dc.nki.GCDTC.2023.000183

[49]. Li, M.-B., Wang, W., & Chen, N. (2019). An empirical study on influencing factors of teachers' information-based teaching ability in higher vocational colleges based on TPB-TAM integrated model. Journal of Guangdong Agricultural, Industrial and Technical College, 39(02), 44-50+65.

[50]. Liang, Y., & Li, N. (2023). A study on the willingness to use Chinese digital learning resources and its influencing factors: Based on TAM extended model. Journal of Language and Text Applications, (02), 23-35. https://doi.org/10.16499/j.cnki.1003-5397.2023.02.006

[51]. Li, H., Huang, T., & Li, W. (2023). Based on big data platform of ship remote operations system. Journal of Ship and Ocean Engineering, 33(6), 56-61. https://doi.org/10.14056/j.carolcarroll.nki.naoe.2023.06.009

[52]. Wang, J. (2023). Kewang: Integration of innovation, driving the digital future. Print Manager, (06), 40-41.

[53]. Song, S., Xie, H., Wu, Z., et al. (2023). A practical exploration of digitization empowering primary medical institutions to create a new model of remote service. China Science of Healthcare Administration, 13(06), 77-82.

[54]. Liu, H.-Z., Zhang, B., & Li, R. (2023). Online and remote working promote financial digital transformation. Finance and Accounting, (19), 69-70.