IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i3p141-d1075593.html
   My bibliography  Save this article

Factors Influencing the Success of Online Education during COVID-19: A Case Analysis of Odisha

Author

Listed:
  • Barada Prasanna Mohapatra

    (School of Business, ASBM University, Chandaka, Bhubaneswar 754012, Odisha, India)

  • Sudhansu Sekhar Nanda

    (Department of Finance, Kirloskar Institute of Management, Harihar 577601, Karnataka, India)

  • Chetan V. Hiremath

    (Department of Operations and Analytics, Kirloskar Institute of Management, Harihar 577601, Karnataka, India)

  • Mahantesh Halagatti

    (School of Management Studies and Research, KLE Technological University, Hubballi 580031, Karnataka, India)

  • Suresh Chandra Das

    (Department of Commerce & Management Studies, Kendrapara Autonomous College, Kendrapara 754211, Odisha, India)

  • Anindita Das

    (Department of Management, Srusti Academy of Management, Bhubaneswar 751024, Odisha, India)

Abstract

The COVID-19 pandemic caused by the coronavirus has dramatically changed the lives of students all around the world, with the virus’s effects profoundly impacting students’ physical and emotional well-being. Due to a series of shutdowns and lockdowns, social distancing, and further closure of schools, colleges, and institutions to ameliorate the pandemic crisis, the teaching and learning process shifted to an online form. As a result, students all over the world have been forced to deal with the problem as a last resort to accepting online education. This study looked at the efficiency of online education in the current situation and the student’s reactions. To enhance the online method of education for students, we examined the success characteristics of online education in the Indian state of Odisha. The study’s samples were collected from the faculty members of various graduate and post-graduate educational institutions in Odisha, who were recruited by questionnaire to get an expert opinion.

Suggested Citation

  • Barada Prasanna Mohapatra & Sudhansu Sekhar Nanda & Chetan V. Hiremath & Mahantesh Halagatti & Suresh Chandra Das & Anindita Das, 2023. "Factors Influencing the Success of Online Education during COVID-19: A Case Analysis of Odisha," JRFM, MDPI, vol. 16(3), pages 1-16, February.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:3:p:141-:d:1075593
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/3/141/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/3/141/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin, Ling-Zhong & Yeh, Huery-Ren, 2013. "Analysis of tour values to develop enablers using an interpretive hierarchy-based model in Taiwan," Tourism Management, Elsevier, vol. 34(C), pages 133-144.
    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. Phillips, Paul & Moutinho, Luiz, 2014. "Critical review of strategic planning research in hospitality and tourism," Annals of Tourism Research, Elsevier, vol. 48(C), pages 96-120.
    2. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    3. Chuanmin Mi & Yetian Chen & Chiung-Shu Cheng & Joselyne Lucky Uwanyirigira & Ching-Torng Lin, 2019. "Exploring the Determinants of Hot Spring Tourism Customer Satisfaction: Causal Relationships Analysis Using ISM," Sustainability, MDPI, vol. 11(9), pages 1-20, May.
    4. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    5. María Belén Gómez-Martín, 2019. "Hiking Tourism in Spain: Origins, Issues and Transformations," Sustainability, MDPI, vol. 11(13), pages 1-13, July.
    6. Khan, Imran & Rahman, Zillur, 2015. "Brand experience anatomy in retailing: An interpretive structural modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 60-69.
    7. Yingmei Wei & Diwei Fan & Binyuan Zhang & Ting Li & Yuqiang Feng, 2024. "How to improve tourists’ trust in official tourism destination websites in China—an empirical research based on CV and PASP," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    8. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.

    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:gam:jjrfmx:v:16:y:2023:i:3:p:141-:d:1075593. 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.