ISSN: 2222-6990
Open access
Following the internet, acceptance research has had a significant impact on smart home technology and has drawn the interest of scientists from a variety of fields. This study intends to investigate the research on acceptance that has been done in the field of smart home technology due to the rising interest of research scholars in the IT industry. In order to find the research trends and themes in this domain, a bibliometric analysis of the metadata was conducted. The study uses the R Package bibliometric to investigate a graphical representation of bibliometric data of acceptance in smart home domain. Thus, it conducted the following analyses: trends in annual publications, most productive authors, most productive nations, most cited papers, frequent journals, most productive affiliations, frequent keywords, and network analysis. According to the findings, research on smart home acceptance began in 1999, grew significantly in 2013, and has since continued to develop. Additionally, it is clear that research on the acceptance in the smart home is rapidly expanding, while it is still in its early stages and is anticipated to increase significantly. Since the data will continue to change and the scope of this study was limited to the Web Of Science database, it may be necessary to repeat it in the future.
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
https://doi.org/10.1016/j.joi.2017.08.007
Belfiore, A., Cuccurullo, C., & Aria, M. (2022). IoT in healthcare: A scientometric analysis. Technological Forecasting and Social Change, 184, 122001.
https://doi.org/10.1016/j.techfore.2022.122001
Bergeron, F., Bouchard, K., Gaboury, S., & Giroux, S. (2018). Tracking objects within a smart home. Expert Systems with Applications, 113, 428–442.
https://doi.org/10.1016/j.eswa.2018.07.009
Bouchard, K., Maître, J., Bertuglia, C., & Gaboury, S. (2020). Activity recognition in smart homes using UWB radars. Procedia Computer Science, 170, 10–17. https://doi.org/10.1016/j.procs.2020.03.004
Carnemolla, P. (2018). Ageing in place and the internet of things – how smart home technologies, the built environment and caregiving intersect. Visualization in Engineering, 6(1). https://doi.org/10.1186/s40327-018-0066-5
Choi, Y. K., Thompson, H. J., & Demiris, G. (2021). Internet-of-Things smart home technology to support aging-in-place: Older adults’ perceptions and attitudes. Journal of Gerontological Nursing, 47(4), 15–21. https://doi.org/10.3928/00989134-20210310-03
Fritz, R. B., & Dermody, G. (2019). A nurse-driven method for developing artificial intelligence in “smart” homes for aging-in-place. Nursing Outlook, 67(2), 140–153.
https://doi.org/10.1016/j.outlook.2018.11.004
Ghorayeb, A., Comber, R., & Gooberman-Hill, R. (2021). Older adults’ perspectives of smart home technology: Are we developing the technology that older people want? International Journal of Human-Computer Studies, 147, 102571.
https://doi.org/10.1016/j.ijhcs.2020.102571
Hunter, I., Elers, P., Lockhart, C., Whiddett, D., Guesgen, H. W., & Singh, A. (2019). Technology to Assist aging in place: The perspective of health organizations. PubMed, 264, 1688–1689. https://doi.org/10.3233/shti190598
Jo, T. H., Hoon, J., & Hyun, S. (2021). Elderly perception on the internet of things-based integrated smart-home system. Sensors, 21(4), 1284.
https://doi.org/10.3390/s21041284
Ma, C., Guerra-Santin, O., & Mohammadi, M. (2021a). Smart home modification design strategies for ageing in place: a systematic review. Journal of Housing and the Built Environment, 37(2), 625–651. https://doi.org/10.1007/s10901-021-09888-z
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019). A systematic review of the smart home literature: A user perspective. Technological Forecasting and Social Change, 138, 139–154. https://doi.org/10.1016/j.techfore.2018.08.015
Martín-Martín, A., Thelwall, M., Orduña-Malea, E., & López-Cózar, E. D. (2020). Google scholar, microsoft academic, scopus, dimensions, web of science, and opencitations’ COCI: A multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4
Michael, S. (2015). Smart home definition and security threats. doi: 10.1109/imf.2015.17.
Moral-Muñoz, J. A., Liu, X., Santisteban?Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional De La Informacion, 29(1). https://doi.org/10.3145/epi.2020.ene.03
Nweke, H. F., Wah, T. Y., Mujtaba, G., & Al-Garadi, M. A. (n.d.). Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions. Information Fusion, 46, 147–170.
https://doi.org/10.1016/j.inffus.2018.06.002
Tural, E., Lu, D., & Cole, D. (2021a). Safely and actively aging in place: Older adults’ attitudes and intentions toward smart home technologies. Gerontology and Geriatric Medicine, 7, 233372142110173. https://doi.org/10.1177/23337214211017340
Tural, E., Lu, D., & Cole, D. (2021b). Safely and actively aging in place: Older adults’ attitudes and intentions toward smart home technologies. Gerontology and Geriatric Medicine, 7, 233372142110173. https://doi.org/10.1177/23337214211017340
Yang, H., Lee, W., & Lee, H. (2018). IoT smart home adoption: The importance of proper level automation. Journal of Sensors, 2018, 1–11. https://doi.org/10.1155/2018/6464036
Yeon, A. L., Mahdzir, N., Yusoff, Z. M., Dahlan, N. H., & Basarudin, N. A. (2018). A comprehensive smart home legal framework in Malaysia: A necessity. The European Proceedings of Social and Behavioural Sciences.
https://doi.org/10.15405/epsbs.2018.12.03.43
(Yurui & Abdullah, 2024)
Yurui, L., & Abdullah, N. S. (2024). Acceptance of Smart Home Technology: A Bibliometric Analysis. International Journal of Academic Research in Business and Social Sciences, 14(1), 1291–1302.
Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode