IDEAS home Printed from https://ideas.repec.org/a/men/journl/v9y2023i1p92-117.html
   My bibliography  Save this article

Factors Affecting Behavioural Intention to Use Mobile Health Applications among Obese People in Malaysia

Author

Listed:
  • Khairul Nazlin Kamaruzaman

    (MARA Technological University, Shah Alam, Malaysia)

  • Zuhal Hussein

    (MARA Technological University, Shah Alam, Malaysia)

  • Amily Fikry

    (MARA Technological University, Shah Alam, Malaysia)

Abstract

Obesity is a significant public health issue as it seems to be the cause for high blood pressure, diabetes and other health problems. The human body cannot function efficiently if it has high body mass index score. According to the National Health and Morbidity Survey (NHMS), people with BMI score of ≥ 25 are being categorized as obese. One way to control obesity is to rely on the help of technology such as mobile health applications. In literature, there is a lack in research addressing obese people's intention of using mobile health applications. Recognising the critical role of their behavioural intention to use mobile health applications, this research investigates the factors affecting behavioural intention to use mobile health applications. Adapting Consumer Acceptance Technology (CAT) model by Kulviwat et al. (2007) and Health Belief Model (HBM) developed by Glanz et al. (2008), this research examines factors of perceived cognition, perceived affection, perceived threat, compatibility, accessibility and attitude towards behavioural intention to use mobile health apps. To test the proposed framework, data were collected using quota sampling, while questionnaires were distributed to 500 obese people in the top 5 percent in the states with the obesity population in Malaysia, namely Malacca, Federal Territory of Putrajaya, Negeri Sembilan, Kedah and Perlis. Data collected were analysed using Partial Least Square (PLS) software. The results show that relationship between perceived cognition and perceived affection towards behavioural intention to use is partially significant, while significant relationship has been found between perceived threat, compatibility and accessibility and behavioural intention to use. Besides, perceived cognition and perceived affection partially support relationship on attitude. On the other hand perceived threat, compatibility and accessibility fully support relationship on attitude. Finally, the results demonstrate attitude partially mediates the relationship between perceived cognition and perceived affection, while attitude fully mediates the effect of perceived threat, compatibility, accessibility on behavioural intention to use. Findings provided empirical evidence on the collective effect of behavioural intention to use mobile health applications as well as independent effect of perceived cognition, perceived affection, perceived threat, compatibility and accessibility. Besides, findings suggested to encourage individual to use mobile health applications, while related takeholders should continually improve user perception on health applications.

Suggested Citation

  • Khairul Nazlin Kamaruzaman & Zuhal Hussein & Amily Fikry, 2023. "Factors Affecting Behavioural Intention to Use Mobile Health Applications among Obese People in Malaysia," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 9(1), pages 92-117.
  • Handle: RePEc:men:journl:v:9:y:2023:i:1:p:92-117
    DOI: 10.11118/ejobsat.2023.002
    as

    Download full text from publisher

    File URL: http://ejobsat.cz/doi/10.11118/ejobsat.2023.002.html
    Download Restriction: free of charge

    File URL: http://ejobsat.cz/doi/10.11118/ejobsat.2023.002.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.11118/ejobsat.2023.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Balapour, Ali & Reychav, Iris & Sabherwal, Rajiv & Azuri, Joseph, 2019. "Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps," International Journal of Information Management, Elsevier, vol. 49(C), pages 58-68.
    2. Zhao, Yang & Ni, Qi & Zhou, Ruoxin, 2018. "What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age," International Journal of Information Management, Elsevier, vol. 43(C), pages 342-350.
    3. Harris, Mark A. & Brookshire, Robert & Chin, Amita Goyal, 2016. "Identifying factors influencing consumers’ intent to install mobile applications," International Journal of Information Management, Elsevier, vol. 36(3), pages 441-450.
    4. Songpol Kulviwat & Yong Zhang & Jinyan Fan & Lu Zheng, 2016. "Understanding consumer shopping behaviour: a comparison of three theories of emotions in predicting online flow," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 7(1), pages 3-21.
    5. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    6. Alam, Mohammad Zahedul & Hoque, Md. Rakibul & Hu, Wang & Barua, Zapan, 2020. "Factors influencing the adoption of mHealth services in a developing country: A patient-centric study," International Journal of Information Management, Elsevier, vol. 50(C), pages 128-143.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).
    2. Yang, Jialiang & Li, Yaokuang & Calic, Goran & Shevchenko, Anton, 2020. "How multimedia shape crowdfunding outcomes: The overshadowing effect of images and videos on text in campaign information," Journal of Business Research, Elsevier, vol. 117(C), pages 6-18.
    3. Wenzel, Stefan, 2014. "App'ification of Enterprise Software - Evaluating Mobile App Characteristics Enabling Online Purchase And Their Portability To Enterprise Application Software," EconStor Preprints 146785, ZBW - Leibniz Information Centre for Economics.
    4. Yadav, Rambalak & Giri, Arunangshu & Chatterjee, Satakshi, 2022. "Understanding the users' motivation and barriers in adopting healthcare apps: A mixed-method approach using behavioral reasoning theory," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    6. Muhammad Rizwan & Hamna Sultan & Sadia Parveen & Shumaila Nawaz & Samreen Sattar & Maryam Sana, 2013. "Determinants of Online Shopping and Moderating Role of Innovativeness and Perceived Risk," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(2), pages 142-159, February.
    7. Barbara Pavlikova & Lenka Freel & Jitse P. van Dijk, 2020. "To Comply or Not to Comply: Roma Approach to Health Laws," IJERPH, MDPI, vol. 17(9), pages 1-13, April.
    8. Yan, Ruihe & Gong, Xiang, 2022. "Peer-to-peer accommodation platform affordance: Scale development and empirical investigation," Journal of Business Research, Elsevier, vol. 144(C), pages 922-938.
    9. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    10. Ira Puspitasari & Alia Firdauzy, 2019. "Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    11. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    12. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    13. Hong-Wen Lin & Ya-Cing Jhan & Yuan Tseng, 2019. "Behavioral intention of using one-stop mobile application: evidence from department stores," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(12), pages 401-412, December.
    14. Packiaraj Thangavel & Bibhas Chandra, 2023. "Two Decades of M-Commerce Consumer Research: A Bibliometric Analysis Using R Biblioshiny," Sustainability, MDPI, vol. 15(15), pages 1-32, August.
    15. Chakraborty, Debarun & Paul, Justin, 2023. "Healthcare apps’ purchase intention: A consumption values perspective," Technovation, Elsevier, vol. 120(C).
    16. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    17. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    18. Reinhardt, Ronny & Gurtner, Sebastian, 2018. "The overlooked role of embeddedness in disruptive innovation theory," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 268-283.
    19. Maricar M. Navarro & Yogi Tri Prasetyo & Michael Nayat Young & Reny Nadlifatin & Anak Agung Ngurah Perwira Redi, 2021. "The Perceived Satisfaction in Utilizing Learning Management System among Engineering Students during the COVID-19 Pandemic: Integrating Task Technology Fit and Extended Technology Acceptance Model," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    20. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.

    More about this item

    Keywords

    mobile health applications; obese people; behavioural intention to use; Malaysia;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:men:journl:v:9:y:2023:i:1:p:92-117. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://edirc.repec.org/data/femencz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.