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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
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    References listed on IDEAS

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    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. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    Full references (including those not matched with items on IDEAS)

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    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

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