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Factors Affecting the Adoption of mHealth Services among Young Citizen: A Structural Equation Modeling (SEM) Approach

Author

Listed:
  • Hoque, Md. Rakibul

    (Dhak University)

  • Karim, Mohammad Rezaul

    (Shanto-Mariam University of Creative Technology)

  • Amin, Mohammad Bin

    (Shanto-Mariam University of Creative Technology)

Abstract

In Bangladesh, nearly everyone has access to a mobile phone and it is increasingly affordable and widespread in all clusters of people have significant impact to extend social relations. The telecom is one of the rapidly growing industries in Bangladesh. Mobile phone is playing a vary significance role with pervasive services. Dissemination of health related information to the general people was a great challenge for this highly populated country, but this problem is going to be erased by application of mobile phone in this regards. In this study attempted to determine and measure the various usages of mobile phone in Bangladesh among the young age group (patients) how they use Mobile phones to solve health related problem. Technology Acceptance Model (TAM) is used as the theoretical underpin to conduct this study. A questionnaire survey method was used to collect data from respondents in different public and private universities of Bangladesh. The data were analyzed using the Partial Least Squire (PLS) method, a statistical analysis technique based on structural Equation Model (SEM). Findings revealed that perceived usefulness (p 0.05) was identified as a less significant factor in the mHealth adoption in Bangladesh. The findings from the study can serve as input to promote citizen’s use of mobile phone for better self-management of health.

Suggested Citation

  • Hoque, Md. Rakibul & Karim, Mohammad Rezaul & Amin, Mohammad Bin, 2015. "Factors Affecting the Adoption of mHealth Services among Young Citizen: A Structural Equation Modeling (SEM) Approach," Asian Business Review, Asian Business Consortium, vol. 5(2), pages 60-65.
    • Handle: RePEc:ris:asbure:0077
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    Citations

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    Cited by:

    1. Anna Vinnikova & Liangdong Lu & Jiuchang Wei & Guangbao Fang & Jing Yan, 2020. "The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    2. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    3. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    4. Md. Abdul Kaium & Yukun Bao & Mohammad Zahedul Alam & Najmul Hasan & Md. Rakibul Hoque, 2019. "Understanding the insight of factors affecting mHealth adoption: A systematic review," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(6), pages 181-200, October.

    More about this item

    Keywords

    mHealth; Bangladesh; Technology Acceptance Model (TAM);
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    Statistics

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