IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2653-d508764.html
   My bibliography  Save this article

E-Learning Services to Achieve Sustainable Learning and Academic Performance: An Empirical Study

Author

Listed:
  • Mohammad Mahtab Alam

    (College of Applied Medical Science, King Khalid University, Abha 62529, Saudi Arabia)

  • Naim Ahmad

    (College of Computer Science, King Khalid University, Abha 62529, Saudi Arabia)

  • Quadri Noorulhasan Naveed

    (College of Computer Science, King Khalid University, Abha 62529, Saudi Arabia)

  • Ayyub Patel

    (College of Medicine, King Khalid University, Abha 62529, Saudi Arabia)

  • Mohammed Abohashrh

    (College of Applied Medical Science, King Khalid University, Abha 62529, Saudi Arabia)

  • Mohammed Abdul Khaleel

    (College of Computer Science, King Khalid University, Abha 62529, Saudi Arabia)

Abstract

E-Learning has proven to be the only resort as a replacement of traditional face-to-face learning methods in the current global lockdown due to COVID-19 pandemic. Academic institutions across the globe have invested heavily into E-Learning and the majority of the courses offered in traditional classroom mode have been converted into E-Learning mode. The success of E-Learning initiatives needs to be ensured to make it a sustainable mode of learning. The objective of the current study is to propose a holistic E-Learning service framework to ensure effective delivery and use of E-Learning Services that contributes to sustainable learning and academic performance. Based on an extensive literature review, a proposed theoretical model has been developed and tested empirically. The model identifies a broad range of success determinants and relates them to different success measures, including learning and academic performance. The proposed model was validated with the response from 397 respondents involved with an E-Learning system in the top five public universities in the southern region of Saudi Arabia through the Partial Least Squares regression technique using SmartPLS software. Five main factors (Learner’s Quality, Instructor’s Quality, Information’s Quality, System’s Quality and Institutional Quality) were identified as a determinant of E-Learning service performance which together explains 48.7% of the variance of perceived usefulness of ELS, 71.2% of the variance of use of the E-Learning system. Perceived usefulness of ELS and use of ELS together explain 70.6% of learning and academic performance of students. Hence the framework will help achieve the sustainable and successful adoption of E-Learning services.

Suggested Citation

  • Mohammad Mahtab Alam & Naim Ahmad & Quadri Noorulhasan Naveed & Ayyub Patel & Mohammed Abohashrh & Mohammed Abdul Khaleel, 2021. "E-Learning Services to Achieve Sustainable Learning and Academic Performance: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2653-:d:508764
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2653/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/5/2653/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolić, Vlastimir & Kaljevic, Jelena & Jović, Srđan & Petković, Dalibor & Milovančević, Miloš & Dimitrov, Ljubomir & Dachkinov, Pancho, 2018. "Survey of quality models of e-learning systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 324-330.
    2. Tracey Mcdowall & Beverley Jackling, 2006. "The Impact of Computer-Assisted Learning on Academic Grades: An Assessment of Students' Perceptions," Accounting Education, Taylor & Francis Journals, vol. 15(4), pages 377-389.
    3. Madeline Melchor Cardona & Juan José Bravo, 2012. "Service quality perceptions in higher education institutions: the case of a colombian university," Estudios Gerenciales, Universidad Icesi, December.
    4. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 175-178, August.
    5. Tong Zhang & Zaffar A. Shaikh & Alexei V. Yumashev & Monika Chłąd, 2020. "Applied Model of E-Learning in the Framework of Education for Sustainable Development," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    6. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    7. Quadri Noorulhasan Naveed & Mohammad Mahtab Alam & Nasser Tairan, 2020. "Structural Equation Modeling for Mobile Learning Acceptance by University Students: An Empirical Study," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    8. 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.
    9. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
    10. Naim Ahmad & Noorulhasan Naveed Quadri & Mohamed Rafik N. Qureshi & Mohammad Mahtab Alam, 2018. "Relationship Modeling of Critical Success Factors for Enhancing Sustainability and Performance in E-Learning," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    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. Uthman Alturki & Ahmed Aldraiweesh, 2021. "Application of Learning Management System (LMS) during the COVID-19 Pandemic: A Sustainable Acceptance Model of the Expansion Technology Approach," Sustainability, MDPI, vol. 13(19), pages 1-16, October.
    2. Eva Blondeel & Patricia Everaert & Evelien Opdecam, 2021. "And Then There Was COVID-19: Do the Benefits of Cooperative Learning Disappear When Switching to Online Education?," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    3. Mohammed Abdullatif Almulla & Waleed Mugahed Al-Rahmi, 2023. "Integrated Social Cognitive Theory with Learning Input Factors: The Effects of Problem-Solving Skills and Critical Thinking Skills on Learning Performance Sustainability," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    4. Ibrahim Youssef Alyoussef, 2021. "E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    5. 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.

    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. Ibrahim Youssef Alyoussef, 2021. "E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    2. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    3. Ernest Osei & PETER KWASI OPPONG, 2020. "The Role of Computer Education in the Behavioral Intentions to Use Information Technology in Hospitals in Kumasi, Ghana," Journal of Economics and Behavioral Studies, AMH International, vol. 12(4), pages 13-22.
    4. 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.
    5. Kimiagari, Salman & Asadi Malafe, Neda Sharifi, 2021. "The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    6. Anuja Shukla & Shiv Kumar Sharma, 2018. "Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model," Vision, , vol. 22(2), pages 185-198, June.
    7. Olga Sideri & Michalis Papoutsidakis & Theodore Lilas & Nikitas Nikitakos & Dimitrios Papachristos, 2021. "Green shipping onboard: acceptance, diffusion & adoption of LNG and electricity as alternative fuels in Greece," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-29, December.
    8. Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018. "Online Shoppers Acceptance An Exploratory Study," INA-Rxiv 4hs6x, Center for Open Science.
    9. Dirsehan, Taşkın & Cankat, Ece, 2021. "Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    10. M. Nazmul Islam & Fumitaka Furuoka & Aida Idris, 2021. "Influence of Gender Diversity on Employee Work Engagement in the Context of Organizational Change: Evidence From Bangladeshi Employees," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(3), pages 1-19, July.
    11. Mónica Martínez-Gómez & Eliseo Bustamante & César Berna-Escriche, 2022. "Development and Validation of an E-Learning Education Model in the COVID-19 Pandemic: A Case Study in Secondary Education," Sustainability, MDPI, vol. 14(20), pages 1-28, October.
    12. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    13. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.
    14. Sanghyun Kim & Hyunsun Park, 2018. "Do Female Employees at Small and Medium Enterprises Perceive Open Source Software Usefulness and Satisfaction Differently from Male Employees? A Survey Analysis," Social Sciences, MDPI, vol. 7(10), pages 1-17, September.
    15. Muhammad Athar Nadeem & Zhiying Liu & Abdul Hameed Pitafi & Amna Younis & Yi Xu, 2021. "Investigating the Adoption Factors of Cryptocurrencies—A Case of Bitcoin: Empirical Evidence From China," SAGE Open, , vol. 11(1), pages 21582440219, March.
    16. Nurul Nadia Abd Aziz & Normilia Abd Wahid, 2018. "Factors Influencing Online Purchase Intention among University Students," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(7), pages 702-717, July.
    17. Ahmad Althunibat & Muhammad Binsawad & Mohammed Amin Almaiah & Omar Almomani & Adeeb Alsaaidah & Waleed Al-Rahmi & Mohamed Elhassan Seliaman, 2021. "Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    18. Jeremiah Kau Makokoane & Docter Joe Khosa, 2021. "Applying UTAUT and Fuzzy Dematel Methods: A New Legal Aid Administration System," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 8(1), pages 24-36, November.
    19. Stephanie Watts Sussman & Wendy Schneier Siegal, 2003. "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption," Information Systems Research, INFORMS, vol. 14(1), pages 47-65, March.
    20. Tai Abdulrahman Alshammari & Khalid Mhasan Alshammary & Fahad Maiyah Alshammari, 2022. "Impact of Perceived Quality of E-Health Services on Patient Behavioral Intention to Use E-Health Services: A Moderating Role of Knowledge of E-Health Management," Journal of Economics and Behavioral Studies, AMH International, vol. 14(1), pages 23-38.

    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:13:y:2021:i:5:p:2653-:d:508764. 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.