IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v63y2020ics0160791x20302451.html
   My bibliography  Save this article

Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam

Author

Listed:
  • Lin, Shu Hsu
  • Lee, Hsing-Chen
  • Chang, Ching-Ter
  • James Fu, Changjui

Abstract

The factors that influence students' attitudes towards mobile learning (ML) is an intriguing topic. Though previous studies have examined the determinants influencing the acceptance of ML, few studies have investigated the influences of different cross-cultural factors on ML acceptance in higher education. When students from various countries participate in class, it is very important to address and improve the learning experiences of cross-cultural students. To elucidate this issue, this study proposes a conceptual model and theoretical framework through the theory of planned behavior (TPB) by incorporating diverse constructs to examine the influences of cross-cultural students' attitudes toward ML. Moreover, the following issues must be addressed: (1) examining cross-cultural ML problems within cross-cultural perspectives in a culturally sensitive manner, and (2) identifying the similarities and differences in cross-cultural students' behavioral intentions (BI) when influenced by attitude (ATT), subjective norm (SN), and perceived behavior control (PBC). Data were collected using an online survey from 947 respondents in Taiwan, Vietnam, Indonesia, and China. Our results show that BI towards the adoption of ML was influenced by ATT, SN, and PBC among the Taiwanese, Chinese, Indonesian, and Vietnamese undergraduate students. In addition, PBC was a significant predictor for students in Taiwan and Vietnam but was not a significant predictor for students in China and Indonesia. On the contrary, SN was significant in China and Indonesia but not in Taiwan and Vietnam. These findings showed a weaker relationship with SN in both China and Indonesia. Overall, our proposed model has reached an acceptable level. As a result, 82.3% and 81.2% acceptance levels were found for Taiwan and Vietnam, respectively, indicating that these students exhibit PBC-orientated distinguishing characteristics. This implies that students in Taiwan and Vietnam seem to be have more confidence in their ability to accept and perform a specific task for ML. Meanwhile, it is interesting to note that the 77.3% and 80.2% acceptance levels for China and Indonesia, respectively, indicate that these students also have SN-orientated distinguishing characteristics. The findings imply that students tend to follow other students’ decisions to use or not use ML. These findings are expected to facilitate decision makers and service providers in formulating appropriate strategies to improve the uptake of ML activities. Furthermore, these findings can help us understand the issues facing ML adoption in different cultural settings and contribute to the design and adequate provisions of ML programs.

Suggested Citation

  • Lin, Shu Hsu & Lee, Hsing-Chen & Chang, Ching-Ter & James Fu, Changjui, 2020. "Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam," Technology in Society, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20302451
    DOI: 10.1016/j.techsoc.2020.101387
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X20302451
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2020.101387?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. Merhi, Mohamed & Hone, Kate & Tarhini, Ali, 2019. "A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust," Technology in Society, Elsevier, vol. 59(C).
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Tae-Im Han, 2018. "Determinants of Organic Cotton Apparel Purchase: A Comparison of Young Consumers in the U.S.A. and South Korea," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    4. Vasiliki Vamvaka & Chrysostomos Stoforos & Theodosios Palaskas & Charalampos Botsaris, 2020. "Attitude toward entrepreneurship, perceived behavioral control, and entrepreneurial intention: dimensionality, structural relationships, and gender differences," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-26, December.
    5. Osakwe, Jude & Dlodlo, Nomusa & Jere, Nobert, 2017. "Where learners' and teachers' perceptions on mobile learning meet: A case of Namibian secondary schools in the Khomas region," Technology in Society, Elsevier, vol. 49(C), pages 16-30.
    6. Han, Heesup & Hsu, Li-Tzang (Jane) & Sheu, Chwen, 2010. "Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities," Tourism Management, Elsevier, vol. 31(3), pages 325-334.
    7. Md. Shahadat Hossain Khan & Benadjih Oiriddine Abdou & Jaana Kettunen & Sue Gregory, 2019. "A Phenomenographic Research Study of Students’ Conceptions of Mobile Learning: An Example From Higher Education," SAGE Open, , vol. 9(3), pages 21582440198, July.
    8. Sarrab, Mohamed & Al-Shihi, Hafedh & Al-Khanjari, Zuhoor & Bourdoucen, Hadj, 2018. "Development of mobile learning application based on consideration of human factors in Oman," Technology in Society, Elsevier, vol. 55(C), pages 183-198.
    9. Al-Emran, Mostafa & Mezhuyev, Vitaliy & Kamaludin, Adzhar, 2020. "Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance," Technology in Society, Elsevier, vol. 61(C).
    10. Lee, Yong-Ki & Park, Jong-Hyun & Chung, Namho & Blakeney, Alisha, 2012. "A unified perspective on the factors influencing usage intention toward mobile financial services," Journal of Business Research, Elsevier, vol. 65(11), pages 1590-1599.
    11. Mohammad Dalvi-Esfahani & Hamed Shahbazi & Mehrbakhsh Nilashi, 2019. "Moderating Effects of Demographics on Green Information System Adoption," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-24, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baber, Hasnan, 2020. "Intentions to participate in political crowdfunding- from the perspective of civic voluntarism model and theory of planned behavior," Technology in Society, Elsevier, vol. 63(C).
    2. Camilleri, Mark Anthony & Camilleri, Adriana Caterina, 2022. "Remote learning via video conferencing technologies: Implications for research and practice," Technology in Society, Elsevier, vol. 68(C).
    3. Quadri Noorulhasan Naveed & Heena Choudhary & Naim Ahmad & Jarallah Alqahtani & Adel Ibrahim Qahmash, 2023. "Mobile Learning in Higher Education: A Systematic Literature Review," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    4. Singh, Yashdeep & Suri, Pradeep Kumar, 2022. "An empirical analysis of mobile learning app usage experience," Technology in Society, Elsevier, vol. 68(C).
    5. Nguyen-Phuoc, Duy Quy & Pham, Son Truong & Nguyen, Thao Phuong Thi & Su, Diep Ngoc & Luu, Tuan Trong & Oviedo-Trespalacios, Oscar, 2025. "Exploring the switch to urban train services: The impact of perceived accessibility and its moderating effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 191(C).
    6. Szymkowiak, Andrzej & Melović, Boban & Dabić, Marina & Jeganathan, Kishokanth & Kundi, Gagandeep Singh, 2021. "Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people," Technology in Society, Elsevier, vol. 65(C).
    7. Kasim, Kabir O. & Winter, Scott R. & Liu, Dahai & Keebler, Joseph R. & Spence, Tyler B., 2021. "Passengers’ perceptions on the use of biometrics at airports: A statistical model of the extended theory of planned behavior," Technology in Society, Elsevier, vol. 67(C).
    8. Jiang, Li & Yan, Jingyi & Xie, Yuguang & Dong, Junfeng, 2025. "Customers’ reuse intention to autonomous delivery vehicles in terminal delivery service: A valence theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).

    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. Heesup Han & Myong Jae Lee & Wansoo Kim, 2018. "Antecedents of Green Loyalty in the Cruise Industry: Sustainable Development and Environmental Management," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 323-335, March.
    2. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    3. Hsu, Chia-Lin & Chang, Chi-Ya & Yansritakul, Chutinart, 2017. "Exploring purchase intention of green skincare products using the theory of planned behavior: Testing the moderating effects of country of origin and price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 145-152.
    4. Han, Heesup & Hyun, Sunghyup Sean, 2018. "What influences water conservation and towel reuse practices of hotel guests?," Tourism Management, Elsevier, vol. 64(C), pages 87-97.
    5. Winitra Leelapattana & Shih-Yun Hsu & Weerapon Thongma & Chun Chen & Fu-Mei Chiang, 2019. "Understanding the Impact of Environmental Education on Tourists’ Future Visit Intentions to Leisure Farms in Mountain Regions," Sustainability, MDPI, vol. 11(6), pages 1-13, March.
    6. Abu Elnasr E. Sobaih & Ahmed Sh. Abdelaziz, 2022. "The Impact of Nutrition Labelling on Customer Buying Intention and Behaviours in Fast Food Operations: Some Implications for Public Health," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
    7. Waris, Idrees & Hameed, Irfan, 2019. "Using Extended Model of Theory of Planned Behavior to Predict Purchase Intention of Energy Efficient Home Appliances in Pakistan," MPRA Paper 109612, University Library of Munich, Germany.
    8. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    9. Aleciane da Silva Moreira Ferreira & Elisabeth Loiola & Sônia Maria Guedes Gondim & Cícero Roberto Pereira, 2022. "Effects of Entrepreneurial Competence and Planning Guidance on the Relation Between University Students’ Attitude and Entrepreneurial Intention," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 31(1), pages 7-29, March.
    10. Najmul Hoda & Naim Ahmad & Shankar Lal Gupta & Mohammad Mahtab Alam & Irfan Ahmad, 2021. "Application of Entrepreneurial Intention Model in Comparative International Entrepreneurship Research: A Cross-Cultural Study of India and Saudi Arabia," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    11. Bianchi, Constanza & Milberg, Sandra & Cúneo, Andres, 2017. "Understanding travelers' intentions to visit a short versus long-haul emerging vacation destination: The case of Chile," Tourism Management, Elsevier, vol. 59(C), pages 312-324.
    12. Untaru, Elena-Nicoleta & Han, Heesup, 2021. "Protective measures against COVID-19 and the business strategies of the retail enterprises: Differences in gender, age, education, and income among shoppers," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    13. Nadire Cavus & Yakubu Bala Mohammed & Abdulsalam Ya’u Gital & Mohammed Bulama & Adamu Muhammad Tukur & Danlami Mohammed & Muhammad Lamir Isah & Abba Hassan, 2022. "Emotional Artificial Neural Networks and Gaussian Process-Regression-Based Hybrid Machine-Learning Model for Prediction of Security and Privacy Effects on M-Banking Attractiveness," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    14. Lin, Li-Pin (Lynn) & Yu, Chia-Yuan & Chang, Fu-Chen, 2018. "Determinants of CSER practices for reducing greenhouse gas emissions: From the perspectives of administrative managers in tour operators," Tourism Management, Elsevier, vol. 64(C), pages 1-12.
    15. Sreen, Naman & Purbey, Shankar & Sadarangani, Pradip, 2018. "Impact of culture, behavior and gender on green purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 177-189.
    16. Song, Hak Jun & Lee, Choong-Ki & Kang, Soo K. & Boo, Sug-jin, 2012. "The effect of environmentally friendly perceptions on festival visitors’ decision-making process using an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 33(6), pages 1417-1428.
    17. Adnan, Nadia & Md Nordin, Shahrina & Hadi Amini, M. & Langove, Naseebullah, 2018. "What make consumer sign up to PHEVs? Predicting Malaysian consumer behavior in adoption of PHEVs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 259-278.
    18. Lizin, Sebastien & Van Dael, Miet & Van Passel, Steven, 2017. "Battery pack recycling: Behaviour change interventions derived from an integrative theory of planned behaviour study," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 66-82.
    19. Nguyen Ngoc Thi Hong & Rudawska Edyta, 2022. "Integrated Cultural Theories on Mobile Marketing Acceptance: Literature Review," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(3), pages 112-135, September.
    20. Mashaal A. M. Saif & Nazimah Hussin & Maizaitulaidawati Md Husin & Ayed Alwadain & Ayon Chakraborty, 2022. "Determinants of the Intention to Adopt Digital-Only Banks in Malaysia: The Extension of Environmental Concern," Sustainability, MDPI, vol. 14(17), pages 1-32, September.

    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:eee:teinso:v:63:y:2020:i:c:s0160791x20302451. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.