IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p742-d312423.html
   My bibliography  Save this article

Advanced Technology Use by Care Professionals

Author

Listed:
  • Tom Brandsma

    (Research Centre for Employability, Zuyd University of Applied Sciences, 6131 MT Sittard, The Netherlands)

  • Jol Stoffers

    (Research Centre for Employability, Zuyd University of Applied Sciences, 6131 MT Sittard, The Netherlands
    Faculty of Management, Open University of the Netherlands, 6419 AT Heerlen, The Netherlands
    Research Centre for Education and the Labour Market (ROA), Maastricht University, 6211 LM Maastricht, The Netherlands)

  • Ilse Schrijver

    (Research Centre for Employability, Zuyd University of Applied Sciences, 6131 MT Sittard, The Netherlands)

Abstract

Advanced technology is a primary solution for the shortage of care professionals and increasing demand for care, and thus acceptance of such technology is paramount. This study investigates factors that increase use of advanced technology during elderly care, focusing on current use of advanced technology, factors that influence its use, and care professionals’ experiences with the use. This study uses a mixed-method design. Logfiles were used (longitudinal design) to determine current use of advanced technology, questionnaires assessed which factors increase such use, and in-depth interviews were administered to retrieve care professionals’ experiences. Findings suggest that 73% of care professionals use advanced technology, such as camera monitoring, and consult clients’ records electronically. Six of nine hypotheses tested in this study were supported, with correlations strongest between performance expectancy and attitudes toward use, attitudes toward use and satisfaction, and effort expectancy and performance expectancy. Suggested improvements for advanced technology include expanding client information, adding report functionality, solving log-in problems, and increasing speed. Moreover, the quickest way to increase acceptance is by improving performance expectancy. Care professionals scored performance expectancy of advanced technology lowest, though it had the strongest effect on attitudes toward the technology.

Suggested Citation

  • Tom Brandsma & Jol Stoffers & Ilse Schrijver, 2020. "Advanced Technology Use by Care Professionals," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:742-:d:312423
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/742/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/742/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mandy M. Archibald & Alan Barnard, 2018. "Futurism in nursing: Technology, robotics and the fundamentals of care," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(11-12), pages 2473-2480, June.
    2. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers," IJERPH, MDPI, vol. 16(18), pages 1-31, September.
    3. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    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. Marcos Vinicius de Carvalho Mendes & Solange Laurentino dos Santos & Claudia Cristina Lima de Castro & Betise Mery Alencar Sousa Macau Furtado & Heitor Victor Veiga da Costa & Albanita Gomes da Costa , 2021. "Analysis of Factors Associated with the Risk of Suicide in a Brazilian Capital: Cross-Sectional Study," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    2. Xiu-Fu Tian & Run-Ze Wu, 2022. "Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT," IJERPH, MDPI, vol. 19(16), pages 1-19, August.

    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. Yoshida, Masayuki & James, Jeffrey D. & Cronin, J. Joseph, 2013. "Sport event innovativeness: Conceptualization, measurement, and its impact on consumer behavior," Sport Management Review, Elsevier, vol. 16(1), pages 68-84.
    2. Brenda Mak & Paul Beckman & Nicole Bohn, 2016. "Perceived Usefulness and Satisfaction of Mobile Phone for Users with Disabilities," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-16, April.
    3. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    4. Dan Ma & Hao Yuan, 2021. "Neighborhood Environment, Internet Use and Mental Distress among Older Adults: The Case of Shanghai, China," IJERPH, MDPI, vol. 18(7), pages 1-12, March.
    5. Sanal Kumar Velayudhan, 2019. "Factors influencing online shopping in rural India: A review," Working papers 314, Indian Institute of Management Kozhikode.
    6. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    7. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    8. Geoff Boeing, 2020. "Online rental housing market representation and the digital reproduction of urban inequality," Environment and Planning A, , vol. 52(2), pages 449-468, March.
    9. Andriosopoulos, Kostas & Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2018. "The impact of age on Italian consumers' attitude toward alternative fuel vehicles," Renewable Energy, Elsevier, vol. 119(C), pages 299-308.
    10. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Martin Vejačka, 2017. "Social Media Marketing in Comparison With Other Forms of Marketing in the Slovak Banking Sector," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(1), pages 23-38.
    12. Nathalie Gröfke & Valérie Duplat & Christopher Wickert & Brian Tjemkes, 2021. "A Multi-Stakeholder Perspective on Food Labelling for Environmental Sustainability: Attitudes, Perceived Barriers, and Solution Approaches towards the “Traffic Light Index”," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    13. Lamberti, Giuseppe & Lopez-Sintas, Jordi & Sukphan, Jakkapong, 2021. "The social process of internet appropriation: Living in a digitally advanced country benefits less well-educated Europeans," Telecommunications Policy, Elsevier, vol. 45(1).
    14. Wang, Shangrui & Cao, Anran & Wang, Guohua & Xiao, Yiming, 2022. "The Impact of energy poverty on the digital divide: The mediating effect of depression and Internet perception," Technology in Society, Elsevier, vol. 68(C).
    15. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.
    16. Park, Jungkun & Hong, EunPyo & Le, Hoang TPM, 2021. "Adopting autonomous vehicles: The moderating effects of demographic variables," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    17. Ahmed Abbasi & David Dobolyi & Anthony Vance & Fatemeh Mariam Zahedi, 2021. "The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites," Information Systems Research, INFORMS, vol. 32(2), pages 410-436, June.
    18. Hamizah Sahharon & Jusang Bolong & Siti Zobidah Omar & Hayrol Azril Mohamed Shaffril, 2018. "Facebook usage pattern among rural youths of 1Malaysia Wireless Village," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(3), pages 354-374, March.
    19. Chi Kwong Bruce Wan & Adaobi J. Onuike, 2021. "Illuminating Opportunities for Smart Tourism Innovation That Foster Sustainable Tourist Well-Being Using Q Methodology," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    20. Claudy, Marius C. & Michelsen, Claus & O'Driscoll, Aidan, 2011. "The diffusion of microgeneration technologies - assessing the influence of perceived product characteristics on home owners' willingness to pay," Energy Policy, Elsevier, vol. 39(3), pages 1459-1469, March.

    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:gam:jijerp:v:17:y:2020:i:3:p:742-:d:312423. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.