IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v10y2023i1d10.1057_s41599-023-01815-7.html
   My bibliography  Save this article

Undergraduates’ behavioral intention to use indigenous Chinese Web 2.0 tools in informal English learning: Combining language learning motivation with technology acceptance model

Author

Listed:
  • Cunying Fan

    (Qufu Normal University)

  • Juan Wang

    (Qufu Normal University)

Abstract

Studies concerning the utilization of Web 2.0 tools by language learners in higher education have predominately concentrated on the adoption of English-medium Web 2.0 tools in formal learning; while the use of indigenous Chinese Web 2.0 tools in informal English learning has not been adequately examined. This study aims to investigate factors that impact undergraduates’ behavioral intention to use indigenous Chinese Web 2.0 tools for informal English learning. It was conducted to verify a hypothesized mediation model with five factors, which were based on the technology acceptance model and language learning motivation. Structural equation modeling was employed with data from 834 undergraduates at a Chinese university. The findings revealed that undergraduates’ behavioral intention to adopt Chinese Web 2.0 tools was positively impacted by perceived usefulness, perceived enjoyment, and intrinsic motivation in English learning, rather than by perceived ease of use. Perceived usefulness acted as a mediator between perceived enjoyment and behavioral intention to use the tools, and perceived enjoyment mediated the relationship between intrinsic motivation in English learning and the intention to utilize the tools. Two mediators (perceived enjoyment and perceived usefulness) together mediated the relationship between intrinsic motivation in English learning and behavioral intention to adopt the tools. Implications were discussed when integrating indigenous Chinese Web 2.0 tools into informal English learning.

Suggested Citation

  • Cunying Fan & Juan Wang, 2023. "Undergraduates’ behavioral intention to use indigenous Chinese Web 2.0 tools in informal English learning: Combining language learning motivation with technology acceptance model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01815-7
    DOI: 10.1057/s41599-023-01815-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-01815-7
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-023-01815-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Elizabeth White Baker & Said S. Al-Gahtani & Geoffrey S. Hubona, 2010. "Cultural Impacts on Acceptance and Adoption of Information Technology in a Developing Country," Journal of Global Information Management (JGIM), IGI Global, vol. 18(3), pages 35-58, July.
    3. Wahab Ali, 2020. "Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic," Higher Education Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-16, September.
    4. 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.
    5. Kuttimani Tamilmani & Nripendra P. Rana & Robin Nunkoo & Vishnupriya Raghavan & Yogesh K. Dwivedi, 2022. "Indian Travellers’ Adoption of Airbnb Platform," Information Systems Frontiers, Springer, vol. 24(1), pages 77-96, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    2. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    3. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    4. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    5. repec:zna:indecs:v:19:y:2021:i:4:p:420-436 is not listed on IDEAS
    6. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    7. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    8. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    9. Kawsar Ahmad & Arifuzzaman Arifuzzaman & Abdullah Al Mamun & Junayed Md Khaled Bin Oalid, 2021. "Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 238-250, March.
    10. Peter Bou Saba & Régis Meissonier, 2016. "Conflict contagion effects from previous IT projects: action research during preliminary phases of a DST implementation project [Effets de contagion de conflits de projets TI antérieurs:Une recherc," Post-Print hal-02161336, HAL.
    11. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    12. Youngcheoul Kang & Nakbum Choi & Seoyong Kim, 2021. "Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)," IJERPH, MDPI, vol. 18(11), pages 1-36, May.
    13. Meng Tao & Muhammad Zahid Nawaz & Shahid Nawaz & Asad Hassan Butt & Hassan Ahmad, 2018. "Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC," Information Technology & Tourism, Springer, vol. 20(1), pages 9-36, December.
    14. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    15. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    16. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    17. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    18. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    19. Garaus, Marion & Wolfsteiner, Elisabeth & Wagner, Udo, 2016. "Shoppers' acceptance and perceptions of electronic shelf labels," Journal of Business Research, Elsevier, vol. 69(9), pages 3687-3692.
    20. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    21. Xin Xu & Viswanath Venkatesh & Kar Yan Tam & Se-Joon Hong, 2010. "Model of Migration and Use of Platforms: Role of Hierarchy, Current Generation, and Complementarities in Consumer Settings," Management Science, INFORMS, vol. 56(8), pages 1304-1323, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01815-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.