IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i12p5052-d374343.html
   My bibliography  Save this article

Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability

Author

Listed:
  • Waleed Mugahed Al-Rahmi

    (Faculty of Social Sciences and Humanities, School of Education, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
    Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Ahmed Ibrahim Alzahrani

    (Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Noraffandy Yahaya

    (Faculty of Social Sciences and Humanities, School of Education, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Nasser Alalwan

    (Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Yusri Bin Kamin

    (Faculty of Social Sciences and Humanities, School of Education, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

Abstract

Today, developments in information and communication technology (ICT) have a significant influence on education sustainability. In this study, the factors influencing students’ intentions towards using ICT in education sustainability, as well as their satisfaction from its use, were examined. This study aims to investigate student intentions to use information and communication technology, as well as their satisfaction with such use. Therefore, this study employed an extended model of the Technology Acceptance Model (TAM) as the research framework, and adopted quantitative data collection and analysis methods by surveying 502 university students who were chosen through stratified random sampling. Using structural equation modeling (SEM), student responses were sorted into eight study constructs and analyzed to explain their intentions towards technology use and satisfaction. A significant relationship was found between computer self-efficacy (CSE), subjective norms (SN), and perceived enjoyment (PE), which were significant determinants of perceived ease of use (PEU) and perceived usefulness (PU). PEU, PU, and attitudes towards computer use (ACU) influenced students’ intentions to use (SIU) ICT and students’ satisfaction (SS). The constructs succeeded in explaining usage intentions towards ICT among students and their satisfaction from this usage.

Suggested Citation

  • Waleed Mugahed Al-Rahmi & Ahmed Ibrahim Alzahrani & Noraffandy Yahaya & Nasser Alalwan & Yusri Bin Kamin, 2020. "Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5052-:d:374343
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/12/5052/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/12/5052/
    Download Restriction: no
    ---><---

    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. Ruei-Jen Diana Fan & Paul Juinn Bing Tan, 2019. "Application of Information Technology in Preschool Aesthetic Teaching from the Perspective of Sustainable Management," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. 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.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    7. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    8. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    9. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    10. Hamari, Juho & Koivisto, Jonna, 2015. "Why do people use gamification services?," International Journal of Information Management, Elsevier, vol. 35(4), pages 419-431.
    11. Khalil Moghaddam, B. & Khatoon-Abadi, A., 2013. "Factors affecting ICT adoption among rural users: A case study of ICT Center in Iran," Telecommunications Policy, Elsevier, vol. 37(11), pages 1083-1094.
    12. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    13. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    14. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    15. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    16. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    18. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    19. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    20. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.

    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:gam:jsusta:v:12:y:2020:i:12:p:5052-:d:374343. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.