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Analyzing Critical Success Factors for Sustainable Cloud-Based Mobile Learning (CBML) in Crisp and Fuzzy Environment

Author

Listed:
  • Quadri Noorulhasan Naveed

    (College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia)

  • Adel Ibrahim Qahmash

    (College of Education, King Khalid University, Abha 61413, Saudi Arabia)

  • Mohamed Rafik N. Qureshi

    (College of Engineering, King Khalid University, Abha 61413, Saudi Arabia)

  • Naim Ahmad

    (College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia)

  • Mohammed Aref Abdul Rasheed

    (Department of MIS, College of Commerce and Business Administration, Dhofar University, Salalah 211, Oman)

  • Md Akhtaruzzaman

    (Department of Computer Science and Engineering, Military Institute of Science and Technology (MIST), Dhaka 1216, Bangladesh)

Abstract

Mobile Learning (M-Learning), driven by technological digital advancement, is one of the essential formats of online learning, providing flexibility to learners. Cloud-based mobile learning (CBML) provides value additions by providing an economic alternative to E-learning. Revolutionary changes in smartphone design and features have enhanced the user experience, thus encouraging mobile learning. During the COVID-19 pandemic, E-Learning and M-Learning allowed continuing education to occur. These methods continue to offer more opportunities to learners than constrained face-to-face classroom learning. There are many main critical success factors (CSFs) and subfactors that play an influential role in sustainable M-Learning success. The current study focuses on the assessment and ranking of various main factors and subfactors of CBML. Analytic hierarchy process-group decision-making (AHP-GDM)- and fuzzy analytic hierarchy process (FAHP)-based methodologies were used to evaluate and model the main factors and subfactors of CBML in crisp and fuzzy environments. Higher education institutes must strive to address these main factors and subfactors if they are to fulfill their vision and mission in the teaching–learning system while adopting sustainable M-Learning.

Suggested Citation

  • Quadri Noorulhasan Naveed & Adel Ibrahim Qahmash & Mohamed Rafik N. Qureshi & Naim Ahmad & Mohammed Aref Abdul Rasheed & Md Akhtaruzzaman, 2023. "Analyzing Critical Success Factors for Sustainable Cloud-Based Mobile Learning (CBML) in Crisp and Fuzzy Environment," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1017-:d:1026495
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    References listed on IDEAS

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    1. AbdulHafeez Muhammad & Ansar Siddique & Quadri Noorulhasan Naveed & Uzma Khaliq & Ali M. Aseere & Mohd Abul Hasan & Mohamed Rafik N. Qureshi & Basit Shahzad, 2021. "Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    2. Saud S. Alghazi & Amirrudin Kamsin & Mohammed Amin Almaiah & Seng Yue Wong & Liyana Shuib, 2021. "For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    3. Jia‐Wei Tang & Chih‐Jou Chen & Pei‐Hsuan Tsai, 2022. "Development of hybrid fuzzy multi‐criteria decision approach to evaluate key factors for marketing strategic alliance formation based on multiple theories," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 241-261, January.
    4. 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.
    5. M.N. Qureshi & Pradeep Kumar & Dinesh Kumar, 2009. "Framework for benchmarking logistics performance using fuzzy AHP," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 1(1), pages 82-98.
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    1. Anđelka Štilić & Edisa Puška & Adis Puška & Darko Božanić, 2023. "An Expert-Opinion-Based Evaluation Framework for Sustainable Technology-Enhanced Learning Using Z-Numbers and Fuzzy Logarithm Methodology of Additive Weights," Sustainability, MDPI, vol. 15(16), pages 1-18, August.

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