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The unified theory of acceptance and use of DingTalk for educational purposes in China: an extended structural equation model

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  • Yukun Hou

    (Beijing Language and Culture University)

  • Zhonggen Yu

    (Beijing Language and Culture University)

Abstract

With educational technology growing by leaps and bounds, synchronous online learning platforms have become a prevalent practice worldwide. Although numerous studies unraveled the behavioral intention of educational technologies with statistical methodology, there is a paucity of that of DingTalk, one of China’s most popular online platforms for synchronous learning. This study aimed to extend the Unified Theory of Acceptance and Use of Technology (UTAUT) by incorporating new constructs and examining the factors that affect users’ behavioral intention and use behavior of DingTalk. The study collected 856 valid responses from China, which were analyzed using SPSS 23.0 and Amos 24.0. The findings indicated that (1) effort expectancy (EE), performance expectancy (PE), facilitating conditions (FC), self-efficacy (SE), and received feedback (RF) could significantly impact users’ attitudes toward behavior (ATB); (2) social influence (SI), FC, RF, and ATB could be significant predictors of user behavioral intention (BI); (3) FC, RF, and BI were found to have a significant effect on use behavior (UB); (4) the extended UTAUT model could explain 60.9% of the variance of users’ behavioral intention of DingTalk in China; (5) the study identified ATB and BI as joint mediators between certain variables in the model. The study presented a robust theoretical underpinning to explain the acceptance and use of educational technologies in China and provided insights into the future enhancement of E-learning platforms.

Suggested Citation

  • Yukun Hou & Zhonggen Yu, 2023. "The unified theory of acceptance and use of DingTalk for educational purposes in China: an extended structural equation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02257-x
    DOI: 10.1057/s41599-023-02257-x
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    1. Forza, Cipriano & Filippini, Roberto, 1998. "TQM impact on quality conformance and customer satisfaction: A causal model," International Journal of Production Economics, Elsevier, vol. 55(1), pages 1-20, June.
    2. Markdy Y. Orong & Alexander A. Hernandez, 2019. "User Acceptance of Emergency and Disaster Response Mobile Application in the Philippines: An Investigation Based on the Unified Theory of Acceptance and Use of Technology Model," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(1), pages 85-99, January.
    3. Jong-Chul Oh & Sung-Joon Yoon, 2014. "Predicting the use of online information services based on a modified UTAUT model," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(7), pages 716-729, July.
    4. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    5. Sha Fang & Xiaohong Wu & Ivan Ka Wai Lai, 2021. "Factors affecting Macau undergraduate students' acceptance of hospitality English app: applicability of UTAUT model," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 29(3), pages 250-266.
    6. Ernest Etim & Olawande Daramola, 2023. "Investigating the E-Readiness of Informal Sector Operators to Utilize Web Technology Portal," Sustainability, MDPI, vol. 15(4), pages 1-28, February.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Teng Yu & Jian Dai & Chengliang Wang, 2023. "Adoption of blended learning: Chinese university students’ perspectives," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
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