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Healthcare service evolution towards the Internet of Things: An end-user perspective

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  • Martínez-Caro, Eva
  • Cegarra-Navarro, Juan Gabriel
  • García-Pérez, Alexeis
  • Fait, Monica

Abstract

For the last two decades the Internet of Things (IoT) has been a subject of growing global interest. Particularly dynamic industries such as the healthcare service sector have just begun to understand the benefits of the IoT for the provision of a new, more advanced type of services. However, whilst the healthcare service industry is yet to fully grasp the benefits of information systems for its practitioners and managers, and for patients and families, there is a need for a better understanding of the challenges and opportunities associated to IoT-based healthcare systems as another disruptive wave of technologies. In particular, research on the relevance of users' skills for adoption of IoT-based healthcare services has been limited. Using the current Internet-based healthcare service landscape as a platform for the formulation and testing of its hypotheses, this paper explores the relationship between patients' capabilities for effective use of information and communication technologies and the success of IoT-based healthcare services. The resulting theoretical model for effective use of information and communication technologies and the success of IoT-based healthcare services was then validated. The validation was based on data collected from a randomly selected sample of 256 users of Internet-based healthcare services provided by the public healthcare system of the Region of Murcia in Spain. The findings of this research inform future strategies for the implementation of new generations of health and well-being services based on IoT technologies.

Suggested Citation

  • Martínez-Caro, Eva & Cegarra-Navarro, Juan Gabriel & García-Pérez, Alexeis & Fait, Monica, 2018. "Healthcare service evolution towards the Internet of Things: An end-user perspective," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 268-276.
  • Handle: RePEc:eee:tefoso:v:136:y:2018:i:c:p:268-276
    DOI: 10.1016/j.techfore.2018.03.025
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    1. Robinson, Leroy Jr. & Marshall, Greg W. & Stamps, Miriam B., 2005. "Sales force use of technology: antecedents to technology acceptance," Journal of Business Research, Elsevier, vol. 58(12), pages 1623-1631, 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. Dalibor Stanimirovic, 2015. "A Framework for Information and Communication Technology Induced Transformation of the Healthcare Business Model in Slovenia," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 18(1), pages 29-47, January.
    4. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    5. Dorothy Leonard-Barton & Isabelle Deschamps, 1988. "Managerial Influence in the Implementation of New Technology," Management Science, INFORMS, vol. 34(10), pages 1252-1265, October.
    6. Wendy Currie & Jonathan J.M. Seddon, 2014. "Social Innovation in Public Health: Can Mobile Technology Make a Difference?," Post-Print hal-01070000, HAL.
    7. Wolter, Jeremy S. & Bock, Dora & Smith, Jeffery S. & Cronin, J. Joseph, 2017. "Creating Ultimate Customer Loyalty Through Loyalty Conviction and Customer-Company Identification," Journal of Retailing, Elsevier, vol. 93(4), pages 458-476.
    8. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    9. Metallo, Concetta & Agrifoglio, Rocco & Schiavone, Francesco & Mueller, Jens, 2018. "Understanding business model in the Internet of Things industry," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 298-306.
    10. Williams, Hawys & Spencer, Karen & Sanders, Caroline & Lund, David & Whitley, Edgar A. & Kaye, Jane & Dixon, William G., 2015. "Dynamic consent: a possible solution to improve patient confidence and trust in how electronic patient records are used in medical research," LSE Research Online Documents on Economics 60754, London School of Economics and Political Science, LSE Library.
    11. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    12. Muslim Amin & Sajad Rezaei & Maryam Abolghasemi, 2014. "User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust," Nankai Business Review International, Emerald Group Publishing Limited, vol. 5(3), pages 258-274, July.
    13. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    14. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.
    15. Pham, Thi Song Hanh & Ahammad, Mohammad Faisal, 2017. "Antecedents and consequences of online customer satisfaction: A holistic process perspective," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 332-342.
    Full references (including those not matched with items on IDEAS)

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    18. Lo, Fang-Yi & Campos, Nayara, 2018. "Blending Internet-of-Things (IoT) solutions into relationship marketing strategies," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 10-18.

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