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Evaluating E-Teaching Adoption Criteria for Indian Educational Organizations Using Fuzzy Delphi-TOPSIS Approach

Author

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  • Tsun-Yu Huang

    (Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung 413310, Taiwan)

  • Wen-Kuo Chen

    (Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung 413310, Taiwan)

  • Venkateswarlu Nalluri

    (Department of Information Management, Chaoyang University of Technology, Taichung 413310, Taiwan)

  • Thao-Trang Huynh-Cam

    (Department of Information Management, Chaoyang University of Technology, Taichung 413310, Taiwan
    Informatics and Foreign Languages Center, Dong Thap University, Cao Lãnh City 81118, Vietnam)

Abstract

Due to advances in information and communication technology, e-teaching has become increasingly popular and is in high demand by educational organizations. During the lockdown period of COVID-19 especially, e-teaching provided prior solutions to address the pressing need for monitoring students’ learning progress. However, in many developing countries, it is apparent that a wide variety of issues are related to e-teaching adoption. Although the implementation issues associated with e-teaching have been addressed in the existing research literature and in practice for many years, from the available research, the evaluation of e-teaching adoption criteria and ranking using fuzzy theory has been ignored. Therefore, the present research aims to evaluate and rank the criteria for e-teaching adoption through Fuzzy Delphi and Fuzzy TOPSIS. A total of four criteria and twelve sub-criteria for e-teaching adoption were determined based on a systematic literature review and professors’ opinions in India. In addition, the Fuzzy Delphi method was employed to finalize the criteria, and the Fuzzy TOPSIS method was employed for ranking the alternatives. The assessment results showed that among the identified alternatives, the “share the technology with other organizations” and “course integration with technology” were the top-ranked alternatives for improving e-teaching adoption. An understanding of these conceptual alternatives can encourage the adoption of e-teaching in educational organizations.

Suggested Citation

  • Tsun-Yu Huang & Wen-Kuo Chen & Venkateswarlu Nalluri & Thao-Trang Huynh-Cam, 2022. "Evaluating E-Teaching Adoption Criteria for Indian Educational Organizations Using Fuzzy Delphi-TOPSIS Approach," Mathematics, MDPI, vol. 10(13), pages 1-18, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:13:p:2175-:d:845259
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    References listed on IDEAS

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    1. Fernando Ferri & Patrizia Grifoni & Tiziana Guzzo, 2020. "Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations," Societies, MDPI, vol. 10(4), pages 1-18, November.
    2. Erin Gratz & Lisa Looney, 2020. "Faculty Resistance to Change: An Examination of Motivators and Barriers to Teaching Online in Higher Education," International Journal of Online Pedagogy and Course Design (IJOPCD), IGI Global, vol. 10(1), pages 1-14, January.
    3. Lee, Shawna J. & Ward, Kaitlin P. & Chang, Olivia D. & Downing, Kasey M., 2021. "Parenting activities and the transition to home-based education during the COVID-19 pandemic," Children and Youth Services Review, Elsevier, vol. 122(C).
    4. Mahak Sharma & Ruchita Gupta & Padmanav Acharya, 2020. "Factors influencing cloud computing adoption for higher educational institutes in India: a fuzzy AHP approach," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 19(2/3), pages 126-150.
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    1. Wen-Chin Chen & An-Xuan Ngo & Hui-Pin Chang, 2024. "Enhancing Decision-Making Processes in the Complex Landscape of the Taiwanese Electronics Manufacturing Industry through a Fuzzy MCDM Approach," Mathematics, MDPI, vol. 12(13), pages 1-29, July.
    2. Yue, Aobo & Mao, Chao & Wang, Zhuoqi & Peng, Wuxue & Zhao, Shuming, 2024. "Finding the pioneers of China's smart cities: From the perspective of construction efficiency and construction performance," Technological Forecasting and Social Change, Elsevier, vol. 204(C).

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