IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v238y2019ic11.html
   My bibliography  Save this article

Expectations of telemedicine health service adoption in rural Bangladesh

Author

Listed:
  • Zobair, Khondker Mohammad
  • Sanzogni, Louis
  • Sandhu, Kuldeep

Abstract

This study analyzes the antecedent factors that influence patients' expectations of telemedicine adoption in centres hosted by rural public hospitals in Bangladesh. It examines five antecedents of patients' expectations of telemedicine adoption—self-efficacy, telemedicine experience, knowledge, enjoyment, and prior satisfaction. A conceptual research model was formulated, encompassing a set of hypotheses that were developed and tested by employing partial least squares structural equation modelling. Using a structured survey questionnaire, a cross-sectional survey was conducted among 500 telemedicine users in different rural areas in Bangladesh. Except knowledge, four antecedents significantly contribute to patients' expectations of telemedicine health service adoption explaining 66% of the variance (R2) in expectations. These findings provide support for explaining antecedents to the formation of patients’ expectations of telemedicine adoption and the institutionalisation of favourable policy guidelines as an early guidance for the development of successful healthcare industries in Bangladesh and other similar settings. Specific policy interventions and recommendations are provided, including current research limitations leading to opportunities for future research.

Suggested Citation

  • Zobair, Khondker Mohammad & Sanzogni, Louis & Sandhu, Kuldeep, 2019. "Expectations of telemedicine health service adoption in rural Bangladesh," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    • Handle: RePEc:eee:socmed:v:238:y:2019:i:c:11
    DOI: 10.1016/j.socscimed.2019.112485
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953619304782
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2019.112485?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. Oliver, Richard L. & Winer, Russell S., 1987. "A framework for the formation and structure of consumer expectations: Review and propositions," Journal of Economic Psychology, Elsevier, vol. 8(4), pages 469-499, December.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    4. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    5. Sarstedt, Marko & Wilczynski, Petra & Melewar, T.C., 2013. "Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities," Journal of World Business, Elsevier, vol. 48(3), pages 329-339.
    6. Andaleeb, Syed Saad, 2001. "Service quality perceptions and patient satisfaction: a study of hospitals in a developing country," Social Science & Medicine, Elsevier, vol. 52(9), pages 1359-1370, May.
    7. Dave Webb, 2000. "Understanding Customer Role and its Importance in the Formation of Service Quality Expectations," The Service Industries Journal, Taylor & Francis Journals, vol. 20(1), pages 1-21, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khondker Mohammad Zobair & Louis Sanzogni & Luke Houghton & Md Zahidul Islam, 2021. "Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-31, September.
    2. Shafiqul Islam & Khondker Mohammad Zobair & Cordia Chu & James C. R. Smart & Md Samsul Alam, 2021. "Do Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction?," JRFM, MDPI, vol. 14(2), pages 1-20, February.

    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. Khondker Mohammad Zobair & Louis Sanzogni & Luke Houghton & Md Zahidul Islam, 2021. "Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-31, September.
    2. Youn Kang & Won Lee, 2015. "Self-customization of online service environments by users and its effect on their continuance intention," Service Business, Springer;Pan-Pacific Business Association, vol. 9(2), pages 321-342, June.
    3. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    4. Ajimon George & Jobin Sahadevan, 2019. "A Conceptual Framework of Antecedents of Service Loyalty in Health Care: Patients’ Perspective," IIM Kozhikode Society & Management Review, , vol. 8(1), pages 50-59, January.
    5. Barney Tan & Cheng Yi & Hock C. Chan, 2015. "Research Note—Deliberation Without Attention: The Latent Benefits of Distracting Website Features for Online Purchase Decisions," Information Systems Research, INFORMS, vol. 26(2), pages 437-455, June.
    6. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    7. Arnold, Mark J. & Reynolds, Kristy E. & Ponder, Nicole & Lueg, Jason E., 2005. "Customer delight in a retail context: investigating delightful and terrible shopping experiences," Journal of Business Research, Elsevier, vol. 58(8), pages 1132-1145, August.
    8. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    9. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    10. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    11. Finn, Adam & Wang, Luming & Frank, Tema, 2009. "Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 209-220.
    12. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    13. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    14. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    15. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    16. Soukaina Zaoui & Safae Ait Hamou-ou-Brahim & Haiwei Zhou & Amina Omrane & Dechun Huang, 2021. "Consumer Purchasing Behaviour Towards Strategic Innovation Management Practices in Morocco During COVID-19 Health Crisis," FIIB Business Review, , vol. 10(2), pages 158-171, June.
    17. Pantano, Eleonora & Rese, Alexandra & Baier, Daniel, 2017. "Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 81-95.
    18. Ozkara, Behcet Yalin & Ozmen, Mujdat & Kim, Jong Woo, 2017. "Examining the effect of flow experience on online purchase: A novel approach to the flow theory based on hedonic and utilitarian value," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 119-131.
    19. Masouda A. Gurban & Abeer S. Almogren, 2022. "Students’ Actual Use of E-Learning in Higher Education During the COVID-19 Pandemic," SAGE Open, , vol. 12(2), pages 21582440221, May.
    20. Praveen K. Kopalle & Donald R. Lehmann, 2006. "Setting Quality Expectations When Entering a Market: What Should the Promise Be?," Marketing Science, INFORMS, vol. 25(1), pages 8-24, 01-02.

    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:eee:socmed:v:238:y:2019:i:c:11. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.