IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8319-d1151315.html
   My bibliography  Save this article

Drivers and Barriers of Social Sustainable Development and Growth of Online Higher Education: The Roles of Perceived Ease of Use and Perceived Usefulness

Author

Listed:
  • Hemamali Tennakoon

    (Business School, Brunel University London, Uxbridge UB8 3PH, UK)

  • Jared M. Hansen

    (Jon M. Huntsman School of Business, Utah State University, 3500 Old Main Hill, Logan, UT 84322, USA)

  • George Saridakis

    (Business School, University of Kent, Sibson, Parkwood Road, Canterbury CT2 7FS, UK)

  • Mahesha Samaratunga

    (School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK)

  • Joseph W. Hansen

    (BuyBox Experts, 2901 Bluegrass Blvd Ste 200-95, Lehi, UT 84043, USA)

Abstract

Online and distance learning classes have been touted for the last several years as an innovation in higher education that should help improve the entrepreneurial growth mindset of students. However, the reported negative online learning experience of many college students worldwide during the COVID-19 epidemic has shown that many opportunities remain to improve the sustainable development and growth of online visual instruction practices. In this study, we outline and investigate a set of hypotheses related to the perceived usefulness and perceived ease of use (from TAM) of online video instruction in higher education courses during the pandemic. We employ grounded theory using autoethnographic case studies as a data source. We found that (a) synchronous broadcast lectures improve participant attitude (H1) and motivation (H2) toward online instruction, (b) prerecorded video instruction increases participant perceived “ease of use” (H3) and perceived behavioral control (H4) of online instruction, but (c) indicators of recorded dates on pre-recorded video instruction decreases participant perceived “usefulness” (H5) and “certainty” (H6) of online instruction. We enrich the insights of popular motivation models for organizations and the higher education industry by outlining a set of emotional elements originating in neuroscience leadership research (SCARF) that might either amplify or diminish the perceived the ease of use and perceived usefulness to technology usage relationships when participations engage in online learning situations.

Suggested Citation

  • Hemamali Tennakoon & Jared M. Hansen & George Saridakis & Mahesha Samaratunga & Joseph W. Hansen, 2023. "Drivers and Barriers of Social Sustainable Development and Growth of Online Higher Education: The Roles of Perceived Ease of Use and Perceived Usefulness," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8319-:d:1151315
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8319/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/10/8319/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey Clemens & Stan Veuger, 2020. "Implications of the COVID-19 Pandemic for State Government Tax Revenues," National Tax Journal, National Tax Association;National Tax Journal, vol. 73(3), pages 619-644, September.
    2. Dale Patterson, 2019. "The Power of the Human Face in Online Education," International Journal of Adult Vocational Education and Technology (IJAVET), IGI Global, vol. 10(1), pages 13-26, January.
    3. Lili-Ann Wolff & Peter Ehrström, 2020. "Social Sustainability and Transformation in Higher Educational Settings: A Utopia or Possibility?," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    4. repec:aei:rpaper:1008570714 is not listed on IDEAS
    5. Hansen, Jared M. & Levin, Michael A., 2016. "The effect of apathetic motivation on employees' intentions to use social media for businesses," Journal of Business Research, Elsevier, vol. 69(12), pages 6058-6066.
    6. Mariia Rizun & Artur Strzelecki, 2020. "Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    7. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    8. Laurie Barclay & Michael Bashshur & Marion Fortin, 2017. "Motivated cognition and fairness: Insights, integration, and creating a path forward," Post-Print halshs-01698338, HAL.
    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. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    2. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    3. Elbanna, Amany & Newman, Mike, 2022. "The bright side and the dark side of top management support in Digital Transformaion –A hermeneutical reading," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    5. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    6. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    7. Schweizer, T.S., 2002. "Managing interactions between technological and stylistic innovation in the media industries, insights from the introduction of ebook technology in the publishing industry," ERIM Report Series Research in Management ERS-2002-16-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.
    9. Neus Vila-Brunet & Josep Llach, 2020. "OSS-Qual: Holistic Scale to Assess Customer Quality Perception When Buying Secondhand Products in Online Platforms," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    10. Shi, Yuwei & Herniman, John, 2023. "The role of expectation in innovation evolution: Exploring hype cycles," Technovation, Elsevier, vol. 119(C).
    11. Zhang, Qingyu & Vonderembse, Mark A. & Cao, Mei, 2009. "Product concept and prototype flexibility in manufacturing: Implications for customer satisfaction," European Journal of Operational Research, Elsevier, vol. 194(1), pages 143-154, April.
    12. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    13. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    15. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    16. Clemens, Jeffrey & Hoxie, Philip & Kearns, John & Veuger, Stan, 2023. "How did federal aid to states and localities affect testing and vaccine delivery?," Journal of Public Economics, Elsevier, vol. 225(C).
    17. Wanda J. Orlikowski & C. Suzanne Iacono, 2001. "Research Commentary: Desperately Seeking the “IT” in IT Research—A Call to Theorizing the IT Artifact," Information Systems Research, INFORMS, vol. 12(2), pages 121-134, June.
    18. Rogier van de Wetering & Sherah Kurnia & Svyatoslav Kotusev, 2020. "The Effect of Enterprise Architecture Deployment Practices on Organizational Benefits: A Dynamic Capability Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    19. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    20. Buvár Ágnes & Gáti Mirkó, 2023. "Digital marketing adoption of microenterprises in a technology acceptance approach," Management & Marketing, Sciendo, vol. 18(2), pages 127-144, June.

    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:15:y:2023:i:10:p:8319-:d:1151315. 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.