IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v32y2022i4d10.1007_s12525-022-00602-7.html
   My bibliography  Save this article

Understanding the adoption of the mask-supply information platforms during the COVID-19

Author

Listed:
  • Cheng-Kui Huang

    (National Chung Cheng University)

  • Shin-Horng Chen

    (National Taipei University of Business)

  • Chia-Chen Hu

    (National Chung Cheng University)

  • Ming-Ching Lee

    (National Chung Cheng University)

Abstract

Since late 2019, coronavirus disease 2019 (COVID-19) has led to a significant increase in the demand for medical resources. To publish data on face mask supplies, the Taiwanese government collaborated with program developers to construct a mask-supply information transitional platform (MITP). To comprehend the adoption of MITP, the study proposes a research model that integrates the health behavior model (HBM) and IS/IT continuance model for examining the factors affecting intention to use an MITP. Survey data collected from 524 respondents indicated that (1) intention to use an MITP is directly influenced by perceived threat of COVID-19 and beliefs toward using the MITP; (2) cues to action directly influence the perceived threat of COVID-19; and (3) perceived ease of use of MITP is a significant determinant of perceived usefulness of MITP. These results provide practical guidelines for health authorities and government to develop health information systems and strategies to control pandemics.

Suggested Citation

  • Cheng-Kui Huang & Shin-Horng Chen & Chia-Chen Hu & Ming-Ching Lee, 2022. "Understanding the adoption of the mask-supply information platforms during the COVID-19," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2405-2427, December.
  • Handle: RePEc:spr:elmark:v:32:y:2022:i:4:d:10.1007_s12525-022-00602-7
    DOI: 10.1007/s12525-022-00602-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-022-00602-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12525-022-00602-7?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. 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.
    2. Jeyaraj, Anand, 2021. "Rethinking the intention to behavior link in information technology use: Critical review and research directions," International Journal of Information Management, Elsevier, vol. 59(C).
    3. Folkes, Valerie S, 1988. "Recent Attribution Research in Consumer Behavior: A Review and New Directions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 548-565, March.
    4. Hui-Ting Huang & Yu-Ming Kuo & Shiang-Ru Wang & Chia-Fen Wang & Chung-Hung Tsai, 2016. "Structural Factors Affecting Health Examination Behavioral Intention," IJERPH, MDPI, vol. 13(4), pages 1-15, April.
    5. Xi Zhang & Xiangda Yan & Xiongfei Cao & Yongqiang Sun & Hui Chen & Jinghuai She, 2018. "The role of perceived e-health literacy in users’ continuance intention to use mobile healthcare applications: an exploratory empirical study in China," Information Technology for Development, Taylor & Francis Journals, vol. 24(2), pages 198-223, April.
    6. Choi, Goya & Nam, Changi & Kim, Seongcheol, 2019. "The impacts of technology platform openness on application developers’ intention to continuously use a platform: From an ecosystem perspective," Telecommunications Policy, Elsevier, vol. 43(2), pages 140-153.
    7. Kim, Ki-Hun & Kim, Kwang-Jae & Lee, Dae-Ho & Kim, Min-Geun, 2019. "Identification of critical quality dimensions for continuance intention in mHealth services: Case study of onecare service," International Journal of Information Management, Elsevier, vol. 46(C), pages 187-197.
    8. Windasari, Nila Armelia & Lin, Fu-ren & Kato-Lin, Yi-Chin, 2021. "Continued use of wearable fitness technology: A value co-creation perspective," International Journal of Information Management, Elsevier, vol. 57(C).
    9. Yan, Min & Filieri, Raffaele & Gorton, Matthew, 2021. "Continuance intention of online technologies: A systematic literature review," International Journal of Information Management, Elsevier, vol. 58(C).
    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. Perez-Aranda, Javier & González Robles, Eva M. & Alarcón Urbistondo, Pilar, 2023. "Understanding antecedents of continuance and revisit intentions: The case of sport apps," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    2. 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.
    3. David Silvera & Tracy Meyer & Daniel Laufer, 2009. "Threat Perception in Older Customers," Working Papers 0066, College of Business, University of Texas at San Antonio.
    4. Yuen, Kum Fai & Chua, Jie Ying & Li, Xue & Wang, Xueqin, 2023. "The determinants of users’ intention to adopt telehealth: Health belief, perceived value and self-determination perspectives," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    6. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    7. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    8. Per Åsberg & Henrik Uggla, 2019. "Introducing multi-dimensional brand architecture: taking structure, market orientation and stakeholder alignment into account," Journal of Brand Management, Palgrave Macmillan, vol. 26(5), pages 483-496, September.
    9. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    10. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    11. Gerrath, Maximilian H.E.E. & Usrey, Bryan, 2021. "The impact of influencer motives and commonness perceptions on follower reactions toward incentivized reviews," International Journal of Research in Marketing, Elsevier, vol. 38(3), pages 531-548.
    12. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    13. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    14. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    15. Jabbar, Abdul & Geebren, Ahmed & Hussain, Zahid & Dani, Samir & Ul-Durar, Shajara, 2023. "Investigating individual privacy within CBDC: A privacy calculus perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    16. Kuldeep Baishya & Harsh Vardhan Samalia, 2020. "Factors Influencing Smartphone Adoption: A Study in the Indian Bottom of the Pyramid Context," Global Business Review, International Management Institute, vol. 21(6), pages 1387-1405, December.
    17. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    18. Peter Bou Saba & Régis Meissonier, 2016. "Conflict contagion effects from previous IT projects: action research during preliminary phases of a DST implementation project [Effets de contagion de conflits de projets TI antérieurs:Une recherc," Post-Print hal-02161336, HAL.
    19. 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.
    20. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.

    More about this item

    Keywords

    Usage intention; Health behavior model; IS/IT continuance model; Mask-supply information platform; COVID-19;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:spr:elmark:v:32:y:2022:i:4:d:10.1007_s12525-022-00602-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.