IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v140y2019icp54-68.html
   My bibliography  Save this article

Applying a mindfulness-based reliability strategy to the Internet of Things in healthcare – A business model in the Vietnamese market

Author

Listed:
  • Nguyen Dang Tuan, Minh
  • Nguyen Thanh, Nhan
  • Le Tuan, Loc

Abstract

In the healthcare industry, the biggest difficulties (Wang et al., 2018) lie in patient big data, medical equipment and instruments, hospital and laboratory information systems. The trend of applying the IoT along with other high technologies such as big data and artificial intelligence in different industries are attracting the business community's interest in Vietnam. Nowadays, the Internet of Things and big data can improve the business models of Prognostic Analysis data service providers, which seek to provide the same service at lower cost for Healthcare Organizations. Therefore, Ecomedic Medical System must design their service system to help both public and private Healthcare Organizations in Vietnam to increase their service reliability, pre-emptive conflict handling, and customer orientation (mindfulness-based reliability approach). This paper implicates the approaching process for a startup to build the business model in the field of the healthcare industry.

Suggested Citation

  • Nguyen Dang Tuan, Minh & Nguyen Thanh, Nhan & Le Tuan, Loc, 2019. "Applying a mindfulness-based reliability strategy to the Internet of Things in healthcare – A business model in the Vietnamese market," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 54-68.
    • Handle: RePEc:eee:tefoso:v:140:y:2019:i:c:p:54-68
    DOI: 10.1016/j.techfore.2018.10.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162517317997
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2018.10.024?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. Ndubisi, Nelson Oly, 2012. "Mindfulness, reliability, pre-emptive conflict handling, customer orientation and outcomes in Malaysia's healthcare sector," Journal of Business Research, Elsevier, vol. 65(4), pages 537-546.
    2. Eugene W. Anderson & Claes Fornell & Roland T. Rust, 1997. "Customer Satisfaction, Productivity, and Profitability: Differences Between Goods and Services," Marketing Science, INFORMS, vol. 16(2), pages 129-145.
    3. Osei-Frimpong, Kofi & Wilson, Alan & Lemke, Fred, 2018. "Patient co-creation activities in healthcare service delivery at the micro level: The influence of online access to healthcare information," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 14-27.
    4. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    5. Sims, Julian M., 2018. "Communities of practice: Telemedicine and online medical communities," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 53-63.
    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. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    2. Oderanti, Festus Oluseyi & Li, Feng & Cubric, Marija & Shi, Xiaohui, 2021. "Business models for sustainable commercialisation of digital healthcare (eHealth) innovations for an increasingly ageing population," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    4. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    5. Tran, Chi Phuong & Pernia, Ronald A. & Nguyen-Thanh, Nhan, 2023. "Mess or match? How do academic perspectives meet the practitioner perspectives in terms of digital transformation?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    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. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Balta, Maria & Valsecchi, Raffaella & Papadopoulos, Thanos & Bourne, Dorota Joanna, 2021. "Digitalization and co-creation of healthcare value: A case study in Occupational Health," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    3. Meadows, Maureen & Merendino, Alessandro & Dibb, Sally & Garcia-Perez, Alexeis & Hinton, Matthew & Papagiannidis, Savvas & Pappas, Ilias & Wang, Huamao, 2022. "Tension in the data environment: How organisations can meet the challenge," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Cegarra-Sánchez, Jorge & Cegarra-Navarro, Juan-Gabriel & Chinnaswamy, Anitha K & Wensley, Anthony, 2020. "Exploitation and exploration of knowledge: An ambidextrous context for the successful adoption of telemedicine technologies," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    6. Zhang, Jason Q. & Craciun, Georgiana & Shin, Dongwoo, 2010. "When does electronic word-of-mouth matter? A study of consumer product reviews," Journal of Business Research, Elsevier, vol. 63(12), pages 1336-1341, December.
    7. Yeung, Matthew C.H. & Ramasamy, Bala & Chen, Junsong & Paliwoda, Stan, 2013. "Customer satisfaction and consumer expenditure in selected European countries," International Journal of Research in Marketing, Elsevier, vol. 30(4), pages 406-416.
    8. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
    9. Blut, Markus & Chowdhry, Nivriti & Mittal, Vikas & Brock, Christian, 2015. "E-Service Quality: A Meta-Analytic Review," Journal of Retailing, Elsevier, vol. 91(4), pages 679-700.
    10. Blattberg, Robert C. & Malthouse, Edward C. & Neslin, Scott A., 2009. "Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 157-168.
    11. Miraç Fatih İLGÜN, 2020. "Industry 4.0 and Transformation in Public Finance: An Assessment by Government Expenditures," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
    12. David M. Pooser & Mark J. Browne, 2018. "The Effects of Customer Satisfaction on Company Profitability: Evidence From the Property and Casualty Insurance Industry," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(2), pages 289-308, September.
    13. Lionel Nicod & Sylvie Llosa, 2018. "How should customers be trained in their role as coproducers? The influence of training and its characteristics on the benefits of coproduction," Post-Print hal-03513344, HAL.
    14. Alberto de la Calle & Inmaculada Freije & Aitor Oyarbide, 2021. "Digital Product–Service Innovation and Sustainability: A Multiple-Case Study in the Capital Goods Industry," Sustainability, MDPI, vol. 13(11), pages 1-29, June.
    15. Saeidi, Sayedeh Parastoo & Sofian, Saudah & Saeidi, Parvaneh & Saeidi, Sayyedeh Parisa & Saaeidi, Seyyed Alireza, 2015. "How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction," Journal of Business Research, Elsevier, vol. 68(2), pages 341-350.
    16. G. Tomas M. Hult & Forrest V. Morgeson III & Udit Sharma & Claes Fornell, 2022. "Customer satisfaction and international business: A multidisciplinary review and avenues for research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1695-1733, October.
    17. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    18. Jiang, Syuan-Yi, 2022. "Transition and innovation ecosystem – investigating technologies, focal actors, and institution in eHealth innovations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. Adina Bărbulescu Robinson & Kapil R. Tuli & Ajay K. Kohli, 2015. "Does Brand Licensing Increase a Licensor's Shareholder Value?," Management Science, INFORMS, vol. 61(6), pages 1436-1455, June.
    20. Matthieu Crozet & Emmanuel Milet, 2017. "Should everybody be in services? The effect of servitization on manufacturing firm performance," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(4), pages 820-841, December.

    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:tefoso:v:140:y:2019:i:c:p:54-68. 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.sciencedirect.com/science/journal/00401625 .

    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.