IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10712-d1538224.html

Technology Characteristics for Sustainable Service Development in Intelligent Elderly Care Services

Author

Listed:
  • Yi Fu

    (Department of Management Information Systems, Gyeongsang National University, Jinju 52828, Republic of Korea)

  • Chao Xu

    (Department of Management Information Systems, Gyeongsang National University, Jinju 52828, Republic of Korea)

  • Sung-Eui Cho

    (Department of Management Information Systems, Gyeongsang National University, Jinju 52828, Republic of Korea)

Abstract

Although the development of intelligent elderly care services is a critical challenge in an aging society, the role and impact of technology characteristics on customer satisfaction and the development of sustainable intelligent elderly care services remain unclear. This study examines how technological characteristics affect customer satisfaction and the development of sustainable intelligent elderly care services through an empirical study. The representative technology characteristics in intelligent elderly care services are defined with seven independent factors, including responsiveness, interactivity, technology readiness, customization, empathy, convenience, and security, and perceived value is adopted as a mediating factor, to analyze relationships with customer satisfaction. A total of 297 sets of data were collected from experienced consumers in the Chinese market, where intelligent elderly care services are broadly used. Exploratory factor analysis, multiple regression analysis, and mediation analysis were employed for statistical analyses. The findings showed that technology characteristics significantly impact customer satisfaction in intelligent elderly care services. The perceived value plays a meaningful mediating role in these relationships. This paper provides a valuable model for evaluating technology characteristics in intelligent elderly care services, taking a meaningful step toward developing relevant advanced services.

Suggested Citation

  • Yi Fu & Chao Xu & Sung-Eui Cho, 2024. "Technology Characteristics for Sustainable Service Development in Intelligent Elderly Care Services," Sustainability, MDPI, vol. 16(23), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10712-:d:1538224
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10712/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/23/10712/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Venciute, Dominyka & Mackeviciene, Ieva & Kuslys, Marius & Correia, Ricardo Fontes, 2023. "The role of influencer–follower congruence in the relationship between influencer marketing and purchase behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Anindya Ghose & Xitong Guo & Beibei Li & Yuanyuan Dang, 2021. "Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment," Papers 2102.05506, arXiv.org, revised Feb 2021.
    3. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    4. Basarir-Ozel, Birgul & Nasir, V. Aslihan & Turker, Hande B., 2023. "Determinants of smart home adoption and differences across technology readiness segments," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    Full references (including those not matched with items on IDEAS)

    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. Park, Jinhee & Ahn, Hyeongjin & Kim, Dongjae & Park, Eunil, 2024. "GNN-IR: Examining graph neural networks for influencer recommendations in social media marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    2. Yurina Otaki & Shuma Iwatani & Hidehito Honda & Kazuhiro Ueda, 2022. "Using nudges for water demand management: A field experiment for water conservation," PLOS Water, Public Library of Science, vol. 1(10), pages 1-14, October.
    3. Kong, Juan & Lou, Chen, 2026. "Beyond persuasion Knowledge: Examining the roles of visual appeal, visual congruence, and social proof in influencer advertising," Journal of Retailing and Consumer Services, Elsevier, vol. 88(C).
    4. Jiang, Kan & Zheng, Junyuan & Luo, Shaohua, 2024. "Green power of virtual influencer: The role of virtual influencer image, emotional appeal, and product involvement," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    5. Chen Chen & Dylan Walker, 2023. "A Bitter Pill to Swallow? The Consequences of Patient Evaluation in Online Health Question-and-Answer Platforms," Information Systems Research, INFORMS, vol. 34(3), pages 867-889, September.
    6. Niu, Baozhuang & Xu, Haotao & Dai, Zhipeng, 2022. "Check Only Once? Health Information Exchange between Competing Private Hospitals," Omega, Elsevier, vol. 107(C).
    7. Junfeng Zhao & Xiang Li & Zhaoyang Gao, 2025. "From innovativeness to insecurity: unveiling the facets of translation technology use behavior among EFL learners using TRI 2.0," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    8. Almasri Ammar, 2022. "The Users’ Behavioral Intention to use Mobile Health-Tech Application to Prevent the Spreading of Coronavirus," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 18-33, December.
    9. Chen‐Nan Liao & Ying‐Ju Chen, 2021. "Design of Long‐Term Conditional Cash Transfer Program to Encourage Healthy Habits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3987-4003, November.
    10. Roy, Monica Priyadarshini & Padmavathy, Chandrasekaran, 2025. "Healthcare influencer-follower relationships: The roles of truthful endorsement and endorsement overload," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
    11. Liu, Yongdan & Liu, Matthew Tingchi & Ma, Yutong, 2025. "I am not like them: A terror management theory perspective on the consumer separation tendency of pet profile images," Journal of Retailing and Consumer Services, Elsevier, vol. 85(C).
    12. Alnoor, Alhamzah & Abbas, Sammar & Khaw, Khai Wah & Muhsen, Yousif Raad & Chew, XinYing, 2024. "Unveiling the optimal configuration of impulsive buying behavior using fuzzy set qualitative comparative analysis and multi-criteria decision approach," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    13. Xuebin Cui & Fei Jin, 2023. "Unraveling mobile internet behavior through customer segmentation: a latent class analysis," Electronic Commerce Research, Springer, vol. 23(4), pages 2379-2398, December.
    14. Liu, Lu & Fang, Jiaming & Ji, Zhenyu & Hossin, Md. Altab, 2026. "Communication consistency in B2B livestreaming: effects of explanatory and affective cues on streamer’s sales performance," Journal of Business Research, Elsevier, vol. 205(C).
    15. Neringa Vilkaite-Vaitone, 2024. "From Likes to Sustainability: How Social Media Influencers Are Changing the Way We Consume," Sustainability, MDPI, vol. 16(4), pages 1-14, February.
    16. Surabhi Singh & Shiwangi Singh & Mayur Chikhale & Sanjay Dhir, 2024. "Critical Success Factors for Emerging Technology Adoption, Strategic Flexibility, and Competitiveness: An Evidence-Based Total Interpretive Structural Modeling Approach (TISM-E)," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(3), pages 601-628, September.
    17. Nora Sharkasi & Saeid Rezakhah & Gomaa Agag, 2025. "A comparative paradigm of sequential mediation models of influencers’ credibility using PLS-SEM with machine learning," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(3), pages 744-779, September.
    18. Cheah, Chee Wei & Koay, Kian Yeik & Lim, Weng Marc, 2024. "Social media influencer over-endorsement: Implications from a moderated-mediation analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    19. Sardar, Sainaz & Tata, Sai Vijay & Sarkar, Subhro, 2024. "Examining the influence of source factors and content characteristics of influencers' post on consumer engagement and purchase intention: A moderated analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    20. Župan Tihana & Bognar Zrinka Blažević & Sesvečan Ema, 2025. "The Impact of Influencer Marketing on the Behavior of Generation Z Consumers," Folia Oeconomica Stetinensia, Sciendo, vol. 25(2), pages 347-365.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:16:y:2024:i:23:p:10712-:d:1538224. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.