[
Abdi, S., Witte, L. d., & Hawley, M. (2021). Exploring the Potential of Emerging Technologies to Meet the Care and Support Needs of Older People: A Delphi Survey. Geriatrics, 6(1), 1-17. doi.org/10.3390/geriatrics6010019
]Search in Google Scholar
[
Arthanat, S., Wilcox, J., & Macuch, M. (2019). Profiles and predictors of smart home technology adoption by older adults. OTJR: Occupational Therapy Journal of Research, 39(4), 247-256.
]Search in Google Scholar
[
Asghar, I., Cang, S., & Yu, H. (2017). Assistive technology for people with dementia: An overview and biblio-metric study. Health Information & Libraries Journal, 34(1). doi: 10.1111/hir.12173
]Search in Google Scholar
[
Astasio-Picado, Á., Cobos-Moreno, P., Gómez-Martín, B., Verdú-Garcés, L., & Zabala-Baños, M. C. (2022). Efficacy of Interventions Based on the Use of Information and Communication Technologies for the Promotion of Active Aging. International Journal of Environmental Research and Public Health, 19(3), 1534. doi: 10.3390/ijerph19031534
]Search in Google Scholar
[
Behzadian, M., Otaghsara, S. K., Yazdan, M., & Ignatius, J. (2012). A state-of the art survey of TOPSIS applications. Expert Systems with Applications, 39, 13051-13069. doi: 10.1016/j.eswa.2012.05.056
]Search in Google Scholar
[
Bevilacqua, R., Casaccia, S., Cortellessa, G., Astell, A., Lattanzio, F., Corsonello, A., D’ascoli, P., Paolini, S., DiRosa, M., Rossi, L., & Maranesi, E. (2020). Coaching through technology: a systematic review into efficacy and effectiveness for the ageing population. International Journal of Environmental Research and Public Health, 17(16), 1-14.
]Search in Google Scholar
[
Bouma, H. (1992). Gerontechnology – making technology relevant for the elderly. Gerontechnology, 3, 1-5.
]Search in Google Scholar
[
Chan, M., Esteve, D., Escriba, C., & Campo E. (2008). A review of smart homes—Present state and future challenges. Computer Methods and Programs in Biomedicine, 91(1), 55-81. doi: 10.1016/j.cmpb.2008.02.001
]Search in Google Scholar
[
Chaparro, E. B. M., Muñoz-Arteaga, J., Muñoz Zavala, Á. E., Reyes, H. C., Condori, K. O. V. (2023). Mixed Reality Ecosystem Architecture to Support Visuoconstructive Ability in Older Adults. Revista Iberoamericana de Tecnologias del Aprendizaje, 18(2), 182-189. doi: 10.1109/RITA.2023.3259986
]Search in Google Scholar
[
Chen, K., & Chan, A. H. S. (2014). Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM). Ergonomics, 57(5), 635-652.
]Search in Google Scholar
[
Cohen, C., Kampel, T., & Verloo, H. (2016). Acceptability of an intelligent wireless sensor system for the rapid detection of health issues: findings among home-dwelling older adults and their informal caregivers. Patient Preference and Adherence, 10, 1687-1695.
]Search in Google Scholar
[
Cohen, C., Kampel, T., & Verloo, H. (2017). Acceptability among community healthcare nurses of intelligent wireless sensor-system technology for the rapid detection of health issues in home-dwelling older adults. The Open Noursing Journal, 11(1), 54-63.
]Search in Google Scholar
[
Cook, M. D., Sandu, A. K., & Joyce, J. P. (2020). Effect of New Zealand blackcurrant on blood pressure, cognitive function and functional performance in older adults. Journal of Nutrition in Gerontechnology and Geriatrics, 32(2), 99-113.
]Search in Google Scholar
[
Delbreil, E., & Zvobgo, G. (2013). Wireless sensor technology in dementia care: caregiver perceptions, technology take-up and business model innovation. EuroMed Journal of Business, 8(1), 79-97.
]Search in Google Scholar
[
Ejdys, J. (2018). Building technology trust in ICT application at a University. International Journal of Emerging Markets, 13(5), 980-997. doi: 10.1108/IJoEM-07-2017-0234
]Search in Google Scholar
[
Ejdys, J., & Gulc, A. (2022). Factors influencing the intention to use assistive technologies by older adults. Human Technology, 18(1), 6-28. doi: 10.14254/1795-6889.2022.18-1.2
]Search in Google Scholar
[
Ejdys, J., & Halicka, K. (2018). Sustainable Adaptation of New Technology – The Case of Humanoids Used for the Care of Older Adults. Sustainability, 10(10), 3770. doi: 10.3390/su10103770
]Search in Google Scholar
[
EUROSTAT. (2023). Demography 2023 edition. Interactive publications. Retrieved from https://ec.europa.eu/eurostat/web/interactive-publications/demography-2023
]Search in Google Scholar
[
Ezhilarasan, N., & Vijayalakshmi, C. (2020). Optimization of Fuzzy programming with TOPSIS Algorithm. Procedia Computer Science, 172, 473-479. doi: 10.1016/j. procs.2020.05.144
]Search in Google Scholar
[
Forkan, A. R. M., Branch, P., Jayaraman, P. P., & Ferretto, A. (2019). HalleyAssist: A personalised internet of things technology to assist the elderly in daily living. Proceedings of the Annual Hawaii International Conference on System Sciences, 4194-4203. doi: 10.24251/HICSS.2019.507
]Search in Google Scholar
[
Gasteiger, N., Ahn, H. S., Gasteiger, C., Lee, C., Lim, J., Fok C., MacDonald, B. A., Kim, G. H., & Broadbent, E. (2021). Robot-Delivered Cognitive Stimulation Games for Older Adults: Usability and Acceptability Evaluation, ACM Transactions on Human-Robot Interaction, 10(4), 3451882. doi: 10.1145/3451882
]Search in Google Scholar
[
Graafmans, J. A. M., Taipale, V., & Charness, N. (1998). Gerontechnology: A Sustainable Investment in the Future. Studies in Health Technology and Informatics, 48, 3-6.
]Search in Google Scholar
[
Gullà, F., Ceccacci, S., Germani, M., & Cavalieri, L. (2015). Design adaptable and adaptive user interfaces: a method to manage the information. Biosystems & Biorobotics, 11, 47-58.
]Search in Google Scholar
[
Halicka, K. (2020). Technology selection using the TOPSIS method. Foresight and STI Governance, 14(1), 85-96. doi: 10.17323/2500-2597.2020.1.85.96
]Search in Google Scholar
[
Halicka, K., & Kacprzak, D. (2021). Linear ordering of selected gerontechnologies using selected MC- GDM methods. Technological and Economic Development of Economy, 27(4), 921-947. doi: 10.3846/tede.2021.15000
]Search in Google Scholar
[
Halicka, K., & Surel, D. (2021). Gerontechnology — new opportunities in the service of older adults. Engineering Management in Production and Services, 13(3), 114-126. doi: 10.2478/emj-2021-0025
]Search in Google Scholar
[
Hasnain, S., Ali, M. K., Akhter, J., & Abbas, N. (2020). Selection of an industrial boiler for a soda-ash production plant using analytical hierarchy process and TOPSIS approaches. Case Studies in Thermal Engineering, 19, 8. doi: 10.1016/j.csite.2020.100636
]Search in Google Scholar
[
Henny, V. E., Collins, S. C., & Platts, R. (1992). Gerontechnology in practice – a framework for the development of assistive technology for elderly persons. Gerontechnology, 3, 435-437.
]Search in Google Scholar
[
Hopwood, J., Walker, N., McDonagh, L., Rait, G., Walters, K., Iliffe, S., Ross, J., & Davies, N. (2018). Internet-based interventions aimed at supporting family care-givers of people with dementia: Systematic review. Journal of Medical Internet Research, 20(6), e216.
]Search in Google Scholar
[
Huang, G., & Oteng, S. A. (2023). Gerontechnology for better elderly care and life quality: a systematic literature review. European Journal of Ageing, 20(1), 27. doi: 10.1007/s10433-023-00776-9
]Search in Google Scholar
[
Huang, H., Chen, Z., Cao, S., Xiao, M., Xie, L., & Zhao, Q. (2021). Adoption intention and factors influencing the use of gerontechnology in Chinese community-dwelling older adults: a mixed-methods study. Frontiers in Public Health, 9, 1-12.
]Search in Google Scholar
[
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications a State-of-the-Art Survey. Verlag, Berlin: Springer.
]Search in Google Scholar
[
Jarvis, M. A., Sartorius, B., & Chipps, J. (2020). Technology acceptance of older persons living in residential care. Information Development, 36(3), 339-353.
]Search in Google Scholar
[
Kacprzak, D. (2019). A doubly extended TOPSIS method for group decision making based on ordered fuzzy numbers. Expert Systems with Applications, 116, 243-254. doi: 10.1016/j.eswa.2018.09.023
]Search in Google Scholar
[
Kacprzak, D. (2020). An extended TOPSIS method based on ordered fuzzy numbers for group decision making. Artificial Intelligence Review, 53(3), 2099-2129. doi: 10.1007/s10462-019-09728-1
]Search in Google Scholar
[
Kozlowska, J. (2022). Methods of multi-criteria analysis in technology selection and technology assessment: a systematic literature review. Engineering Management in Production and Services, 14(2), 116-137. doi: 10.2478/emj-2022-002
]Search in Google Scholar
[
Kwon, S. (2017). Research, Practice, and Principles in the Field of Technology and Aging. New York: Springer Publishing Company.
]Search in Google Scholar
[
Lotfi F. H., & Fallahnejad, R. (2010). Imprecise Shannon’s Entropy and Multi Attribute Decision Making. Entropy, 12(1), 53-62. doi: 10.3390/e12010053
]Search in Google Scholar
[
Maia, J. C., Diniz, J. L., de Sousa, C. R., Oliveira, F. G. L., Evangelista, B. P., Coutinho, J. F. V., Marques, M. B., & Barbosa, R. G. B. (2023). Interactive gerontechnology for fall prevention in the elderly: a descriptive study. Revista Brasileira de Enfermagem, 76(2), e20220739. doi: 10.1590/0034-7167-2022-0739
]Search in Google Scholar
[
McHugh, J. E., & Lawlor, B. A. (2012). Exercise and social support are associated with psychological distress outcomes in a population of community-dwelling older adults. Journal of Health Psychology, 17(6), 833-844.
]Search in Google Scholar
[
Menghi, R., Ceccacci, S., Gullà, F., Cavalieri, L., Germani, M., & Bevilacqua, R. (2017). How older people who have never used touchscreen technology interact with a tablet. Lecture Notes in Computer Science, 10513, 117-131.
]Search in Google Scholar
[
Nowak, P. M., Koscielniak, P., Tobiszewski, M., Ballester-Caudet, A., & Campíns-Falcó, P. (2020). Overview of the three multicriteria approaches applied to a global assessment of analytical methods. TrAC Trends in Analytical Chemistry, 133, 116065. doi: 10.1016/j.trac.2020.116065
]Search in Google Scholar
[
Ollevier, A., Aguiar, G., Palomino, M., & Simpelaere, I. S. (2020). How can technology support ageing in place in healthy older adults? A systematic review. Public Health Review, 41(1), 1-12.
]Search in Google Scholar
[
Ozkaya, G., & Erdin, C. (2020). Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique. Heliyon, 6(1), e05052. doi: 10.1016/j.heliyon.2020.e05052
]Search in Google Scholar
[
Pak, R., & Collins McLaughlin, A. (2018). Aging, Technology and Health. Academic Press. doi: 10.1016/C2015-0-06164-0
]Search in Google Scholar
[
Pawanr, S., Garg, G. K., & Routroy, S. (2019). Multi-objective optimization of machining parameters to minimize surface roughness and power consumption using TOPSIS. Procedia CIRP, 86, 116-120. doi: 10.1016/j.procir.2020.01.036
]Search in Google Scholar
[
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., Van DerVoort, C. S., Aarts, S., VanHoof, J., Vrijhoef, H. J. M., & Wouters, E. J. M. (2016). Older adults’ reasons for using technology while aging in place. Gerontology, 62(2), 226-237.
]Search in Google Scholar
[
Portet, F., Vacher, M., Golanski, C., Roux, C., & Meillon, B. (2013). Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects. Personal and Ubiquitous Computing, 17(1), 127-144.
]Search in Google Scholar
[
Reitsma, A., Spil, T., & DeVries, S. (2019). Using laddering to understand the use of gamified wearables by seniors. Communications in Computer and Information Science, 1219, 92-103.
]Search in Google Scholar
[
Robinson, E. L., Park, G., Lane, K., Skubic, M., & Rantz, M. (2020). Technology for healthy independent living: creating a tailored in-home sensor system for older adults and family caregivers. Journal of Geron-technological Nursing, 176(46(7)), 35-40.
]Search in Google Scholar
[
Scott, P. A., Harvey, C., Felzmann, H., Suhonen, R., Haber-mann, M., Halvorsen, K., Christiansen, K., Toffoli, L., & Papastavrou, E. (2019). On behalf of the RAN-CARE Consortium COST – CA 15208 Resource allocation and rationing in nursing care: a discussion paper. Nursing Ethics, 26(5), 1528-1539. doi: 10.1177/0969733018759831
]Search in Google Scholar
[
Seifert, A., & Schelling, H. R. (2018). Attitudes toward aging and retirement homes before and after entry into a retirement home. Journal of Housing for the Elderly, 32(1), 12-25. doi: 10.1080/02763893.2017.1393484
]Search in Google Scholar
[
Shekhovtsov, A., & Kołodziejczyk, J. (2020). Do distance-based multi-criteria decision analysis methods create similar rankings? Procedia Computer Science, 176, 3718-3729. doi: 10.1016/j.procs.2020.09.015
]Search in Google Scholar
[
Sixsmith, J., & Sixmith, A. (1992). The social-psychological context of gerontechnology. Gerontechnology, 3, 439-441.
]Search in Google Scholar
[
Varatharajulua, M., Duraiselvama, M., Bhuvanesh Kumar, M., Jayaprakash, G., & Baskarc, N. (2022). Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91. Journal of Magnesium and Alloys, 9(10). doi: 10.1016/j.jma.2021.05.006
]Search in Google Scholar
[
Vermijs, P., & Vanbeurden, L. (1992). Gerontechnology assessment – an introduction to educational programs. Gerontechnology, 3, 425-430.
]Search in Google Scholar
[
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870-880. doi: 10.1016/j.eswa.2006.07.003
]Search in Google Scholar
[
Watrobski, J., Karczmarczyk, A., & Rymaszewski, S. (2020). Multi-criteria decision making approach to production line optimization. Procedia Computer Science, 176, 3825-3830. doi: 10.1016/j.procs.2020.09.005
]Search in Google Scholar
[
Wieckowski, J., & Salabun, W. (2020). How to handling with uncertain data in the TOPSIS technique? Procedia Computer Science, 176, 2233-2242. doi: 10.1016/j.procs.2020.09.260
]Search in Google Scholar
[
Wilson, G., Gates, J. R., Vijaykumar, S., & Morgan, D. J. (2021). Understanding older adults’ use of social technology and the factors influencing use. Ageing & Society, 43(1), 222-245.
]Search in Google Scholar
[
Wu, X., Freeman, S., Miyagi, M., Park, U., Nomura, K., & Ebihara, S. (2023). Comprehensive Geriatric Assessment in the era of telemedicine. Geriatrics and Gerontology International. doi: 10.1111/ggi.14705
]Search in Google Scholar
[
Wu, Y. H., Damnée, S., Kerhervé, H., Ware, C., & Rigaud, A. S. (2015) Bridging the digital divide in older adults: a study from an initiative to inform older adults about new technologies. Clinical Interventions in Aging, 10, 193-201.
]Search in Google Scholar
[
Ye, F., & Li, Y. N. (2009). Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information. Expert Systems with Applications, 36, 9350-9357. doi: 10.1016/j.eswa.2009.01.015
]Search in Google Scholar
[
Yue, Z. (2014). TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting. Information Sciences, 277(1), 141-153. doi: 10.1016/j.ins.2014.02.01
]Search in Google Scholar
[
Yusif, S., Soar, J., & Hafeez-Baig, A. (2016). Older people, assistive technologies, and the barriers to adoption: a systematic review. International Journal of Medical Informatics, 94, 112-116.
]Search in Google Scholar
