IDEAS home Printed from https://ideas.repec.org/a/vrs/ejothr/v11y2021i2p267-279n10.html
   My bibliography  Save this article

Technology Induction in Education During COVID-19 is Recreation or a Curse?: Integration of Technological and Behavioral Factors from the Students’ Perspective

Author

Listed:
  • Khan Muhammad Rahies

    (Department of Management Sciences, Bahria University, Karachi, Pakistan)

  • Siddiqui Faiza

    (Scholar Department of Managaemnt, Universiti Teknologi PETRONAS Malaysia)

  • Khan Mubashir Ali

    (Department of Management Sciences, Bahria University, Karachi, Pakistan)

  • Rasool Yasir

    (Department of Management Sciences, National University of Modern Languages, Faisalabad Campus)

Abstract

The current study attempts to identify and measure the role of technology induction during the COVID-19 pandemic as either recreation or curse in students’ learning. By integrating the technology acceptance model (TAM) and innovation diffusion theory (IDT) the study tries to measure the student’s online learning experience as recreation or curse. Data was collected from 387 students through purposive sampling. The findings of the study confirm that introduction of technology in online learning plays a recreational and significant role in student’s online learning. However, computer self-efficacy and relative advantage were found to be a curse in online learning during the pandemic. The overall findings of the study imply that the shift of student’s learning from traditional to online learning has been through introduction of new technology and innovations, although the diffusion of innovation and technology among Pakistani students has been challenging because of a comparatively lower computer literacy level. The usefulness and ease of online learning have been the strongest predictive and recreational aspects in students’ online learning. Institutes and higher education commissions should further invest in enhancing the quality and effectiveness of these factors to improve the overall learning outcome of students through recreational technological induction in education.

Suggested Citation

  • Khan Muhammad Rahies & Siddiqui Faiza & Khan Mubashir Ali & Rasool Yasir, 2021. "Technology Induction in Education During COVID-19 is Recreation or a Curse?: Integration of Technological and Behavioral Factors from the Students’ Perspective," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 11(2), pages 267-279, December.
    • Handle: RePEc:vrs:ejothr:v:11:y:2021:i:2:p:267-279:n:10
    DOI: 10.2478/ejthr-2021-0024
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ejthr-2021-0024
    Download Restriction: no
    File URL: https://libkey.io/10.2478/ejthr-2021-0024?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
    ---><---

    References listed on IDEAS

    as
    1. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    2. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    3. 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.
    4. Alan Winters, L. & Martins, Pedro M. G., 2004. "When comparative advantage is not enough: business costs in small remote economies," World Trade Review, Cambridge University Press, vol. 3(3), pages 347-383, November.
    5. Yu, Yan & Dong, Xiao-Ying & Shen, Kathy Ning & Khalifa, Mohamed & Hao, Jin-Xing, 2013. "Strategies, technologies, and organizational learning for developing organizational innovativeness in emerging economies," Journal of Business Research, Elsevier, vol. 66(12), pages 2507-2514.
    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. Abdul Waheed Siyal & Ding Donghong & Waheed Ali Umrani & Saeed Siyal & Shaharbano Bhand, 2019. "Predicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers," SAGE Open, , vol. 9(2), pages 21582440198, April.
    2. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    3. Claudio Vitari & Elisabetta Raguseo, 2016. "Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data," Post-Print halshs-01923271, HAL.
    4. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    5. Carol Hsu & Jae-Nam Lee & Detmar W. Straub, 2012. "Institutional Influences on Information Systems Security Innovations," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 918-939, September.
    6. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    7. Ronan de Kervenoael & Rajibul Hasan & Alexandre Schwob & Edwin Goh, 2020. "Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots," Post-Print hal-02782265, HAL.
    8. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    9. Maduku, Daniel K. & Mpinganjira, Mercy & Rana, Nripendra P. & Thusi, Philile & Ledikwe, Aobakwe & Mkhize, Njabulo Happy-boy, 2023. "Assessing customer passion, commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    10. Hee-Woong Kim & Hock Chuan Chan & Atreyi Kankanhalli, 2012. "What Motivates People to Purchase Digital Items on Virtual Community Websites? The Desire for Online Self-Presentation," Information Systems Research, INFORMS, vol. 23(4), pages 1232-1245, December.
    11. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2020. "How and when does information publicity affect public acceptance of nuclear energy?," Energy, Elsevier, vol. 198(C).
    12. Faqih, Khaled M.S. & Jaradat, Mohammed-Issa Riad Mousa, 2015. "Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 37-52.
    13. Shirazi, Farid & Hajli, Nick & Sims, Julian & Lemke, Fred, 2022. "The role of social factors in purchase journey in the social commerce era," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    14. Sajad Rezaei & Muslim Amin & Halimin Herjanto, 2024. "Pay-per-click (PPC) advertising and continuous banking service intentions," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1542-1558, December.
    15. Guo, Yuanyuan & Zhang, Kexin & Wang, Chaoyou, 2022. "Way to success: Understanding top streamer's popularity and influence from the perspective of source characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    16. Souha Al-Geitany & Hasan Yousef Aljuhmani & Okechukwu Lawrence Emeagwali & Elsie Nasr, 2023. "Consumer Behavior in the Post-COVID-19 Era: The Impact of Perceived Interactivity on Behavioral Intention in the Context of Virtual Conferences," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    17. Esmaili, Arsalan & Rejali, Sina & Aghabayk, Kayvan & Mohammadi, Amin & De Gruyter, Chris, 2025. "Autonomous delivery vehicle acceptance: The moderating role of perceived risk of theft," Transport Policy, Elsevier, vol. 162(C), pages 406-423.
    18. Zhen Shao & Lin Zhang & Tian Meng & Jing Zhang, 2024. "The paradox of technology quality and ethical concerns in building trust and behavioral intention in the AI-enabled face recognition payment," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-20, December.
    19. Yajiong Xue & Huigang Liang & Liansheng Wu, 2011. "Punishment, Justice, and Compliance in Mandatory IT Settings," Information Systems Research, INFORMS, vol. 22(2), pages 400-414, June.
    20. Hassan, Lobna & Dias, Antonio & Hamari, Juho, 2019. "How motivational feedback increases user’s benefits and continued use: A study on gamification, quantified-self and social networking," International Journal of Information Management, Elsevier, vol. 46(C), pages 151-162.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:vrs:ejothr:v:11:y:2021:i:2:p:267-279:n:10. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.