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    Designing evaluation framework for the empirical assessment of COVID-19 mobile apps in Pakistan

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    1-s2.0-S004579062200492X-main.pdf (4.028Mb)
    Date
    2022-07-26
    Author
    Yasir, Ali
    Khan, Habib Ullah
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    Abstract
    The significant proliferation in the mobile health applications (Apps) amidst Coronaviruses disease 2019 (COVID-19) resulted in decision making problems for healthcare professionals, decision makers and mobile users in Pakistan. This decision making process is also hampered by mobile app trade-offs, multiple features support, evolving healthcare needs and varying vendors. In this regard, evaluation model for mobile apps is presented which completes in three different phases. In first phase, features-based criteria is designed by leveraging Delphi method, and twenty (20) mobile apps are selected from app stores. In second stage, empirical evaluation is performed by using hybrid multi criteria decision approaches like CRiteria Importance Through Inter-criteria Correlation (CRITIC) method has been used for assigning weights to criteria features; and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method has been used for assessment of mobile app alternatives. In last step, decision making is performed to select the best mobile app for COVID-19 situations. The results suggest that proposed model can be adopted as a guideline by mobile app subscribers, patients and healthcare professionals.
    URI
    https://www.sciencedirect.com/science/article/pii/S004579062200492X
    DOI/handle
    http://dx.doi.org/10.1016/j.compeleceng.2022.108260
    http://hdl.handle.net/10576/37586
    Collections
    • Accounting & Information Systems [‎555‎ items ]
    • COVID-19 Research [‎848‎ items ]

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