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Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach

Author

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  • Alam, Mohammad Zahedul
  • Hu, Wang
  • Kaium, Md Abdul
  • Hoque, Md Rakibul
  • Alam, Mirza Mohammad Didarul

Abstract

Due to the low adoption rate of mHealth apps, the apps designers need to understand the factors behind adoption. But understanding the determinants of mHealth apps adoption remains unclear. Comparatively less attention has been given to the factors affecting the adoption of mHealth apps among the young generation. This study aims to examine the factors influencing behavioral intention and actual usage behavior of mHealth apps among technology prone young generation. The research model has extracted variables from the widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT2) alongside privacy, lifestyles, self-efficacy and trust. Required data were collected from mHealth apps users in Bangladesh. Firstly, this study confirmed that performance expectancy, social influence, hedonic motivation and privacy exerted a positive influence on behavioral intention whereas facilitating conditions, self-efficacy, trust and lifestyle had an influence on both behavioral intention and actual usage behavior. Secondly, the Neural Network Model was employed to rank relatively significant predictors obtained from structural equation modeling (SEM). This study contributes to the growing literature on the use of mHealth apps in trying to elevate the quality of patients' lives. The new methodology and findings from this study will significantly contribute to the extant literature of technology adoption and mHealth apps adoption intention especially. Therefore, for practitioners concerned with fostering mHealth apps adoption, the findings stress the importance of adopting an integrated approach centered on key findings of this study.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:teinso:v:61:y:2020:i:c:s0160791x19305871
    DOI: 10.1016/j.techsoc.2020.101255
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    1. TENENHAUS, Michel, 2008. "Component-based structural equation modelling," HEC Research Papers Series 887, HEC Paris.
    2. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    3. Michel Tenenhaus, 2008. "Component-based Structural Equation Modelling," Working Papers hal-00580149, HAL.
    4. Daejoong Kim & Heasun Chun & Hyunjoo Lee, 2014. "Determining the factors that influence college students' adoption of smartphones," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 578-588, March.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Baabdullah, Abdullah Mohammed, 2018. "Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trust," Technology in Society, Elsevier, vol. 53(C), pages 91-102.
    7. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
    8. 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.
    9. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    10. Shahriar Akter & John D'Ambra & Pradeep Ray, 2011. "Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 100-116, January.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    12. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    13. Chuang, Yi-Fei, 2011. "Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions," Telecommunications Policy, Elsevier, vol. 35(2), pages 128-140, March.
    14. Ozawa, Sachiko & Sripad, Pooja, 2013. "How do you measure trust in the health system? A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 91(C), pages 10-14.
    15. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    16. Shahriar Akter & John D'Ambra & Pradeep Ray, 2011. "Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS)," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 100-116, January.
    17. Hampshire, Kate & Porter, Gina & Owusu, Samuel Asiedu & Mariwah, Simon & Abane, Albert & Robson, Elsbeth & Munthali, Alister & DeLannoy, Ariane & Bango, Andisiwe & Gunguluza, Nwabisa & Milner, James, 2015. "Informal m-health: How are young people using mobile phones to bridge healthcare gaps in Sub-Saharan Africa?," Social Science & Medicine, Elsevier, vol. 142(C), pages 90-99.
    18. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    19. Shang Gao & John Krogstie & Zhihao Chen & Wenyan Zhou, 2014. "Lifestyles and Mobile Services Adoption in China," International Journal of E-Business Research (IJEBR), IGI Global, vol. 10(3), pages 36-53, July.
    20. Sarrina Li, Shu-Chu, 2013. "Lifestyle orientations and the adoption of Internet-related technologies in Taiwan," Telecommunications Policy, Elsevier, vol. 37(8), pages 639-650.
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    Keywords

    mHealth apps; Adoption; UTAUT2; Artificial neural network;
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