Abstract
The globally increasing population of those over 65 years old has put on a full-alert situation around the world, especially in developed countries. This is even worse in the predicable future. For this reason, this study aims to develop an integrated conceptual design path model and provide a comprehensive guideline for developing elderly care information systems. In this study, behavioral science is applied to evaluate users’ behavior, and design science is used to produce technical products from behavioral science outcomes. The technology acceptance model, analytic hierarchy process, quality function deployment theory, and the theory of inventive problem-solving are integrated with the users’ willingness in the proposed model. There are three major stages in the model implementation, including (1) weight analysis of users’ comprehensive requirements, (2) analysis of technical characteristics, (3) resolution of conflicts by using integrated theories. The fuzzy comprehensive evaluation method is presented to evaluate the effectiveness of the system prototype. The performance results verify that technology-oriented design innovation based on users’ behavior and willingness can be achieved successfully.
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Appendices
Appendix 1
1.1 Expert scoring sheet for the requirements of integrated smart elderly care service system
Dear expert/professor,
If there is an integrated service system for the elderly (mobile phone plug-in APP, Mobile social network applet), in which aspect do you think it is more important for the elderly to meet their needs? Please answer the following questions or compare the scoring of each question according to the importance of the needs. This score is very important for the architecture design of the integrated service system for the elderly. Thank you very much for your valuable time and professional experience contributed for elderly care.
For better understanding of the survey, please refer to the following explanation as shown in Table
13.
This expert survey is divided into two parts to compare the importance of first and second level indicators, as shown in Tables 15 and 16. The demand importance comparison standard uses a scale of 1–9 to compare the importance of two indicators, and the importance scale is shown in Table
14.
The first part: the criterion layer, as shown in Table
15.
The second part: the target layer, as shown in Tables
16,
17,
18,
19,
20,
21,
22, and
23.
Appendix 2: TRIZ conflict matrix [41]
Appendix 3: conceptual design prototype layout
See Figs.
4,
5, and
6.
Appendix 4
4.1 Adoption preference questionnaire for aged-care institutions search options
Dear Ms./Mr,
Hello! We are the researchers of the Smart Elderly Care Technology Adoption Research Project. Thank you very much for taking your time to complete this questionnaire.
The purpose of this survey is to examine your adoption preferences for the adoption of aged-care institutions and to help us understand the users’ needs so that we could improve our products and services. We hereby promise that all the information you provided will be completely confidential. Please note that there is no right or wrong answer for this survey. All you need to do is try your best to evaluate each option in the following indicators according to your true thoughts and understanding (Table
24).
Option 1 is the integrated service system app “aged-care institutions”; option 2 is the traditional online aged-care institutions search website (http://www.yanglao.com.cn), and option 3 is the offline aged-care institutions site visit.
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Zhou, J., Tan, R. & Lin, HC. Development of an integrated conceptual path model for a smart elderly care information system. Univ Access Inf Soc 22, 785–810 (2023). https://doi.org/10.1007/s10209-022-00879-7
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DOI: https://doi.org/10.1007/s10209-022-00879-7