Journal Screenshot

International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Unlocking Satisfaction: A Conceptual Exploration of Technological Proficiency and its Effects

Zhu Wenjie, Nurul Hidayu Mat Jusoh, Ribka Alan, Malisah Latip

http://dx.doi.org/10.6007/IJARBSS/v13-i11/19550

Open access

This research is poised at the nexus of technology proficiency and its impact on the life satisfaction among the elderly population in Jinan, particularly in the face of rapid digital advancements. The problem statement hinges on comprehending the extent to which technology proficiency influences the satisfaction levels of older adults. The primary objectives are to dissect the multifaceted relationship between technology proficiency and life satisfaction, whilst identifying the variables that act as facilitators or barriers in this interaction. A notable gap exists in the literature concerning the specific needs, limitations, and preferences of the older population in the context of technology use, especially in a localized setting like Jinan. Employing rigorous quantitative methodology, data will be analyzed utilizing Statistical Package for the Social Sciences (SPSS) and Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) to scrutinize the underlying relationships between the key variables. The expected findings are anticipated to shed light on a generally optimistic association between technology proficiency and life satisfaction among the elderly, underlined by certain key facilitators like intuitive technology interfaces and strong familial and social support networks. However, challenges such as cybersecurity vulnerabilities and complex, non-intuitive design of certain technological platforms could potentially act as deterrents. The implications of this study are manifold, emphasizing the urgent need for more inclusive, user-centric designs and robust security infrastructures in technology tailored for older adults, thus contributing to policy and practice in gerontological digital literacy. In summary, this research endeavors to provide a nuanced understanding of how technological proficiency could be harnessed effectively to enhance life satisfaction among the elderly in Jinan, while addressing the pertinent challenges that come in the way of realizing this potential.

Alsswey, A., & Al-Samarraie, H. (2020). Elderly users’ acceptance of mHealth user interface (UI) design-based culture: the moderator role of age. Journal on multimodal user interfaces, 14, 49-59.
Anderberg, P., Eivazzadeh, S., & Berglund, J. S. (2019). A novel instrument for measuring older people’s attitudes toward technology (TechPH): development and validation. Journal of medical Internet research, 21(5), e13951.
Baudin, K., Gustafsson, C., & Frennert, S. (2020). Views of Swedish elder care personnel on ongoing digital transformation: Cross-sectional study. Journal of medical Internet research, 22(6), e15450.
Briede-Westermeyer, J. C., Pacheco-Blanco, B., Luzardo-Briceño, M., & Pérez-Villalobos, C. (2020). Mobile phone use by the elderly: Relationship between usability, social activity, and the environment. Sustainability, 12(7), 2690.
Cyr, A.-A., Romero, K., & Galin-Corini, L. (2021). Web-based cognitive testing of older adults in person versus at home: Within-subjects comparison study. JMIR aging, 4(1), e23384.
Day, P., Gould, J., & Hazelby, G. (2020). A public health approach to social isolation in the elderly. Journal of Community Nursing, 34(3).
De Cola, M. C., Maresca, G., D'Aleo, G., Carnazza, L., Giliberto, S., Maggio, M. G., Bramanti, A., & Calabrò, R. S. (2020). Teleassistance for frail elderly people: A usability and customer satisfaction study. Geriatric Nursing, 41(4), 463-467.
Deary, I. J., Corley, J., Gow, A. J., Harris, S. E., Houlihan, L. M., Marioni, R. E., Penke, L., Rafnsson, S. B., & Starr, J. M. (2009). Age-associated cognitive decline. British medical bulletin, 92(1), 135-152.
Etemad-Sajadi, R., & Gomes Dos Santos, G. (2019). Senior citizens’ acceptance of connected health technologies in their homes. International journal of health care quality assurance, 32(8), 1162-1174.
Fosch-Villaronga, E., & Poulsen, A. (2020). Sex care robots: exploring the potential use of sexual robot technologies for disabled and elder care. Paladyn, Journal of Behavioral Robotics, 11(1), 1-18.
Gessl, A. S., Schlögl, S., & Mevenkamp, N. (2019). On the perceptions and acceptance of artificially intelligent robotics and the psychology of the future elderly. Behaviour & Information Technology, 38(11), 1068-1087.
Guner, H., & Acarturk, C. (2020). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society, 19, 311-330.
Heponiemi, T., Jormanainen, V., Leemann, L., Manderbacka, K., Aalto, A.-M., & Hyppönen, H. (2020). Digital divide in perceived benefits of online health care and social welfare services: national cross-sectional survey study. Journal of medical Internet research, 22(7), e17616.
Hofer, M., Hargittai, E., Büchi, M., & Seifert, A. (2019). Older adults’ online information seeking and subjective well-being: The moderating role of Internet skills. International Journal of Communication, 13, 18.
Jang, M., Aavakare, M., Nikou, S., & Kim, S. (2021). The impact of literacy on intention to use digital technology for learning: A comparative study of Korea and Finland. Telecommunications Policy, 45(7), 102154.
Kasar, K. S., & Karaman, E. (2021). Life in lockdown: Social isolation, loneliness and quality of life in the elderly during the COVID-19 pandemic: A scoping review. Geriatric Nursing, 42(5), 1222-1229.
Lee, L. N., & Kim, M. J. (2020). A critical review of smart residential environments for older adults with a focus on pleasurable experience. Frontiers in psychology, 10, 3080.
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
Liu, L., Wu, F., Tong, H., Hao, C., & Xie, T. (2021). The digital divide and active aging in China. International journal of environmental research and public health, 18(23), 12675.
Maranguni?, N., & Grani?, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14, 81-95.
Meng, F., Guo, X., Zhang, X., Peng, Z., & Lai, K.-H. (2020). Examining the role of technology anxiety and health anxiety on elderly users’ continuance intention for mobile health services use.
Nguyen, M., Fujioka, J., Wentlandt, K., Onabajo, N., Wong, I., Bhatia, R., Bhattacharyya, O., & Stamenova, V. (2020). Using the technology acceptance model to explore health provider and administrator perceptions of the usefulness and ease of using technology in palliative care. BMC palliative care, 19(1), 1-9.
Niehaves, B., & Plattfaut, R. (2014). Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. European Journal of Information Systems, 23, 708-726.
Özsungur, F. (2022). A research on the effects of successful aging on the acceptance and use of technology of the elderly. Assistive Technology, 34(1), 77-90.
Saare, M. A., Hussain, A., & Yue, W. S. (2019). Conceptualizing Mobile Health Application Use Intention and Adoption Among Iraqian Older Adults: From the Perspective of Expanded Technology Acceptance Model. International Journal of Interactive Mobile Technologies, 13(10).
Sen, K., Prybutok, G., & Prybutok, V. (2022). The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review. SSM-population health, 17, 101020.
Shareef, M. A., Kumar, V., Dwivedi, Y. K., Kumar, U., Akram, M. S., & Raman, R. (2021). A new health care system enabled by machine intelligence: Elderly people's trust or losing self control. Technological Forecasting and Social Change, 162, 120334.
Spence, C., Mancini, M., & Huisman, G. (2019). Digital commensality: Eating and drinking in the company of technology. Frontiers in psychology, 10, 2252.
Syed-Abdul, S., Malwade, S., Nursetyo, A. A., Sood, M., Bhatia, M., Barsasella, D., Liu, M. F., Chang, C.-C., Srinivasan, K., & Li, Y.-C. J. (2019). Virtual reality among the elderly: a usefulness and acceptance study from Taiwan. BMC geriatrics, 19(1), 1-10.
Talantis, S., Shin, Y. H., & Severt, K. (2020). Conference mobile application: Participant acceptance and the correlation with overall event satisfaction utilizing the technology acceptance model (TAM). Journal of Convention & Event Tourism,
UN. (2019). World population ageing 2019: highlights.(st/esa/ser. a/430). In: United Nations Department of Economic and Social Affairs, Population ….
Valera Román, A., Pato Martínez, D., Lozano Murciego, Á., Jiménez-Bravo, D. M., & de Paz, J. F. (2021). Voice assistant application for avoiding sedentarism in elderly people based on IoT technologies. Electronics, 10(8), 980.
Wang, C.-H., & Wu, C.-L. (2022). Bridging the digital divide: the smart TV as a platform for digital literacy among the elderly. Behaviour & Information Technology, 41(12), 2546-2559.
Wang, F., Lockee, B. B., & Burton, J. K. (2011). Computer game-based learning: Perceptions and experiences of senior Chinese adults. Journal of educational technology systems, 40(1), 45-58.
Wojciechowski, A., Wi?niewska, A., Pyszora, A., Liberacka-Dwojak, M., & Juszczyk, K. (2021). Virtual reality immersive environments for motor and cognitive training of elderly people–a scoping review. Human Technology, 17(2), 145-163.
Yousaf, K., Mehmood, Z., Awan, I. A., Saba, T., Alharbey, R., Qadah, T., & Alrige, M. A. (2020). A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science, 23, 287-309.
Yu-Huei, C., Ja-Shen, C., & Ming-Chao, W. (2019). Why do older adults use wearable devices: a case study adopting the Senior Technology Acceptance Model (STAM). 2019 Portland International Conference on Management of Engineering and Technology (PICMET),
Zhou, M., Zhao, L., Kong, N., Campy, K. S., Qu, S., & Wang, S. (2019). Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model. International journal of medical informatics, 126, 118-127.

N/A