IDEAS home Printed from https://ideas.repec.org/a/wly/jocnur/v27y2018i9-10p1846-1859.html
   My bibliography  Save this article

The adoption of care robots in home care—A survey on the attitudes of Finnish home care personnel

Author

Listed:
  • Teemu Rantanen
  • Paula Lehto
  • Pertti Vuorinen
  • Kirsi Coco

Abstract

Aims and objectives This article examines the attitudes of Finnish home care registered nurses, licensed vocational nurses and other health and social care personnel towards the introduction and use of care robots in home care. Background The significance of care robotics has been highlighted in recent years. However, personnel‐related social psychological barriers to the introduction of care robots have been given very little study. Design Cross‐sectional study conducted by questionnaire. The theoretical framework of the study is based on Ajzen's theory of planned behaviour and the research discussion about attitudes towards robots. Methods The research data were collected in five municipalities in different parts of Finland in 2016, and the questionnaire was answered by a total of 200 home care workers. The research data were analysed using exploratory factor analysis, Pearson product–moment correlation, one‐way analysis of variance and linear regression analysis. Results The results are consistent with Ajzen's theory and previous studies on the acceptance of information systems in health care. Personnel behavioural intentions related to the introduction of robot applications in home care are influenced by their personal appreciation of the usefulness of robots, the expectations of their colleagues and supervisors, as well as by their own perceptions of their capacity to learn to use care robots. In particular, personnel emphasised the value of care robots in providing reminders and guidance, as well as promoting the safety of the older people. Conclusions The study shows that an intimate human–robot relationship can pose a challenge from the perspective of the acceptance of care robots. Relevance to clinical practice From the perspective of the introduction of care robots in home care, personnel training and the construction of a positive working atmosphere play a key role. In addition, the introduction of robots requires further consideration of a number of ethical issues.

Suggested Citation

  • Teemu Rantanen & Paula Lehto & Pertti Vuorinen & Kirsi Coco, 2018. "The adoption of care robots in home care—A survey on the attitudes of Finnish home care personnel," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(9-10), pages 1846-1859, May.
    • Handle: RePEc:wly:jocnur:v:27:y:2018:i:9-10:p:1846-1859
    DOI: 10.1111/jocn.14355
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jocn.14355
    Download Restriction: no
    File URL: https://libkey.io/10.1111/jocn.14355?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
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Riitta Turjamaa & Sirpa Hartikainen & Mari Kangasniemi & Anna‐Maija Pietilä, 2014. "Living longer at home: a qualitative study of older clients' and practical nurses' perceptions of home care," Journal of Clinical Nursing, John Wiley & Sons, vol. 23(21-22), pages 3206-3217, November.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. 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. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Fosso Wamba, Samuel & Queiroz, Maciel M. & Hamzi, Lotfi, 2023. "A bibliometric and multi-disciplinary quasi-systematic analysis of social robots: Past, future, and insights of human-robot interaction," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Brents, Robert G. & Winter, Scott R. & Gawron, Valerie & Keebler, Joseph R., 2024. "Intention to complain about unmanned aircraft system noise: A structural equation analysis," Technology in Society, Elsevier, vol. 76(C).
    4. Tan, Si Ying & Taeihagh, Araz & Tripathi, Abhas, 2021. "Tensions and antagonistic interactions of risks and ethics of using robotics and autonomous systems in long-term care," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Tianyang Huang & Haitao Liu, 2019. "Acceptability of Robots to Assist the Elderly by Future Designers: A Case of Guangdong Ocean University Industrial Design Students," Sustainability, MDPI, vol. 11(15), pages 1-14, July.

    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. Jahanmir, Sara F. & Cavadas, Joana, 2018. "Factors affecting late adoption of digital innovations," Journal of Business Research, Elsevier, vol. 88(C), pages 337-343.
    2. 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.
    3. Laukkanen, Tommi, 2016. "Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking," Journal of Business Research, Elsevier, vol. 69(7), pages 2432-2439.
    4. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    5. Sudipa Majumdar & Vijay Pujari, 2022. "Exploring usage of mobile banking apps in the UAE: a categorical regression analysis," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 27(3), pages 177-189, 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. Garín-Muñoz, Teresa & López, Rafael & Pérez-Amaral, Teodosio & Herguera, Iñigo & Valarezo, Angel, 2019. "Models for individual adoption of eCommerce, eBanking and eGovernment in Spain," Telecommunications Policy, Elsevier, vol. 43(1), pages 100-111.
    9. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    10. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    11. 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.
    12. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    13. Ivan De Battista & Franco Curmi & Emanuel Said, 2021. "Influencing Factors Affecting Young People’s Attitude Towards Online Advertising: A Systematic Literature Review," International Review of Management and Marketing, Econjournals, vol. 11(3), pages 58-72.
    14. Nel, Jacques & Boshoff, Christo, 2021. "“I just don't like digital-only banks, and you should not use them either†: Traditional-bank customers' opposition to using digital-only banks," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    15. 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.
    16. Joachim P. Hasebrook & Leonie Michalak & Anna Wessels & Sabine Koenig & Stefan Spierling & Stefan Kirmsse, 2022. "Green Behavior: Factors Influencing Behavioral Intention and Actual Environmental Behavior of Employees in the Financial Service Sector," Sustainability, MDPI, vol. 14(17), pages 1-35, August.
    17. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    18. 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.
    19. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    20. Jinsoo Hwang & Hyunjoon Kim, 2019. "Consequences of a green image of drone food delivery services: The moderating role of gender and age," Business Strategy and the Environment, Wiley Blackwell, vol. 28(5), pages 872-884, July.

    More about this item

    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:wly:jocnur:v:27:y:2018:i:9-10:p:1846-1859. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1365-2702 .

    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.