Skip to main content
Log in

RETRACTED ARTICLE: AISAS model-based statistical analysis for intelligent eldercare products consumption research

  • Published:
Journal of Combinatorial Optimization Aims and scope Submit manuscript

This article was retracted on 02 April 2024

This article has been updated

Abstract

The demographic phenomenon of population aging in China has attained the apex of global prevalence. The insufficiency of social pension resources in China has resulted in an increase in tensions in public finance, thereby necessitating a sustained and proactive approach towards addressing this issue as a strategic imperative. The study of the determinants of consumer behavior in the realm of intelligent eldercare products holds pragmatic implications for directing and stimulating the advancement of the intelligent eldercare sector. This paper presents a demand model for intelligent eldercare products, drawing upon the AISAS and Unified Theory of Acceptance and Use of Technology (UTAUT) models. The integrated framework identifies four distinct categories of influencing factors: Attention and Interest, Search and Action, Public Support, and Sharing Motivation. The survey has been constructed using six secondary variables, namely Performance Expectation (PE), Social Impact (SI), Perceived Ease of Use (PEU), Perceived Value (PV), Attitude, and Willingness to Use (WU). The study employs various statistical techniques, including regression analysis, correlation analysis, and empirical analysis, to investigate the determinants of consumers’ intentions towards products. The conclusion suggests that the Perceived Ease of Use factor holds the most significant influence on the intention of consumers to use intelligent eldercare products or services.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

The datasets generated during the current study are not publicly available due to the data have surveys’ personal information but are available with masking partial information from the corresponding author on reasonable request.

Change history

References

  • Barua Z, Barua A (2021) Acceptance and usage of Health technologies amid COVID-19 pandemic in a developing country: the UTAUT combined with situational constraint and health consciousness. J Enabling Technol 15(1):1–22

    Article  Google Scholar 

  • Cheah JH, Ting H, Cham TH, Memon MA (2019) The effect of selfie promotion and celebrity endorsed advertisement on decision-making processes: A model comparison. Internet Res 29(3):552–577

    Article  Google Scholar 

  • Dai P, Chang W, Xin Z, Cheng H, Ouyang W, Luo A (2021) Retrospective study on the influencing factors and prediction of hospitalization expenses for chronic renal failure in China based on random forest and LASSO regression. Front Public Health 9:678276

    Article  Google Scholar 

  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3):319–340

    Article  Google Scholar 

  • Demiris G, Hensel BK (2008) Technologies for an aging society: a systematic review of “smart home” applications. Yearb Med Inform 17(01):33–40

    Article  Google Scholar 

  • Donmez-Turan A (2020) Does unified theory of acceptance and use of technology (UTAUT) reduce resistance and anxiety of individuals towards a new system? Kybernetes 49(5):1381–1405

    Article  Google Scholar 

  • Gao XR, Liang LF, Chen Q (2012) Analysis of factors influencing the potential demand of Internet of Things service market—a questionnaire survey based on smart home service market. East China Econ Manag 1:33–38

    Google Scholar 

  • Junadia S (2015) A model of factors influencing consumer’s intention to use e-payment system in Indonesia. Procedia Comput Sci 59:214–220

    Article  Google Scholar 

  • Kim Y, Park Y, Choi J (2017) A study on the adoption of IoT smart home service: using value-based adoption model. Total Qual Manag Bus Excell 28(9–10):1149–1165

    Article  Google Scholar 

  • Liu J-B, Bao Y, Zheng WT (2022) Analyses of some structural properties on a class of hierarchical scale free networks. Fractals 30(7):225

    Article  Google Scholar 

  • Liu JB, Bao Y, Zheng WT, Hayat S (2021) Network coherence analysis on a family of nested weighted n-polygon networks. Fractals 29(08):2150260

    Article  Google Scholar 

  • Ming T, Zhijian Z (2021) Investigation and analysis of community home intelligent elderly care under the background of population aging. Front Soc Sci Technol 3(5):38–45

    Google Scholar 

  • Raza SA, Qazi W, Khan KA, Salam J (2021) Social isolation and acceptance of the learning management system (LMS) in the time of COVID-19 pandemic: an expansion of the UTAUT model. J Educ Comput Res 59(2):183–208

    Article  Google Scholar 

  • Rodriguez-Jimenez F, Lorenzo H, Acuna-Alonso C, Alvarez X (2023) PLS-PM analysis of forest fires using remote sensing tools. The case of Xurés in the Transboundary Biosphere Reserve. Ecol Inform 75:102010

    Article  Google Scholar 

  • Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Quarterly 27(3):425–478

    Article  Google Scholar 

  • Wang J, Shi L (2020) Prediction of medical expenditures of diagnosed diabetics and the assessment of its related factors using a random forest model, MEPS 2000–2015. Int J Qual Health Care 32(2):99–112

    Article  Google Scholar 

  • Weng J, Li G (2019) Exploring shipping accident contributory factors using association rules. J Transp Saf Secur 11(1):36–57

    Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Gao.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10878-024-01143-9

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Y. RETRACTED ARTICLE: AISAS model-based statistical analysis for intelligent eldercare products consumption research. J Comb Optim 45, 131 (2023). https://doi.org/10.1007/s10878-023-01059-w

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10878-023-01059-w

Keywords

Navigation