Emotional needs and service process optimization in combined medical and elder care: A TRIZ approach

The development of services that combining medical and elder care (CMEC) lacks an innovative drive for and service consideration of emotional needs. In order to help in advancing continuous development in CMEC through sustained innovation, this study focuses on Kansei engineering and employs the theory of inventive problem-solving (TRIZ), emotional data–mining tools, and failure modes and effects analysis (FMEA). It outlines a three-phase process for innovative optimization of CMEC services. In Phase 1, we use a web-crawler algorithm to extract texts introducing numerous CMEC institutions listed on a large-platform in China called Chuxin Elder Care. After the preprocessing of the data, we extract emotion-related vocabulary, which represents the emotional needs of the elderly, from these texts and convert them into high-dimensional vectors using a word-to-vector (Word2Vec) algorithm. Next, we use a K-Means++ algorithm to derive emotional clusters, thereby constructing a list of core emotional vocabulary. In Phase 2, using this list, we combine service blueprints, fuzzy theory, and FMEA to locate where service failure occurs in the existing CMEC service process. In Phase 3, we map the reasons for service failure to TRIZ optimization and deterioration parameters and deduce innovation principles with a contradiction matrix. Based on these principles and core emotional needs, we propose innovative solutions to these service failures. The study reveals that the emotional needs of elderly people who receive CMEC services have not been adequately addressed. But, by employing Kansei engineering and TRIZ, the CMEC service process can be optimized effectively. • Explore emotional needs identification and CMEC service process optimization. • Use emotional data mining technique collecting data on the elderly's emotional needs. • Apply Kansei engineering and TRIZ integration optimizing CMEC services. • Combine data mining with the construction of perceptual space in the realm of Kansei engineering. • Incorporate the elderly's emotional needs into service optimization.

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Publication Details

Journal
Technovation
Published
2025-04-03
DOI
https://doi.org/10.1016/j.technovation.2025.103224
Citations
9
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
21.95
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Emotional needs and service process optimization in combined medical and elder care: A TRIZ approach

Yunyu Wang, Yenchun Jim Wu, Ming Yang, En-Min Xu et al.
9 citations
Technovation
Color perception and design
21.95
article

Emotional needs and service process optimization in combined medical and elder care: A TRIZ approach

Yunyu Wang, Yenchun Jim Wu, Ming Yang, En-Min Xu, An‐Jin Shie
article en
9 citations

Abstract

The development of services that combining medical and elder care (CMEC) lacks an innovative drive for and service consideration of emotional needs. In order to help in advancing continuous development in CMEC through sustained innovation, this study focuses on Kansei engineering and employs the theory of inventive problem-solving (TRIZ), emotional data–mining tools, and failure modes and effects analysis (FMEA). It outlines a three-phase process for innovative optimization of CMEC services. In Phase 1, we use a web-crawler algorithm to extract texts introducing numerous CMEC institutions listed on a large-platform in China called Chuxin Elder Care. After the preprocessing of the data, we extract emotion-related vocabulary, which represents the emotional needs of the elderly, from these texts and convert them into high-dimensional vectors using a word-to-vector (Word2Vec) algorithm. Next, we use a K-Means++ algorithm to derive emotional clusters, thereby constructing a list of core emotional vocabulary. In Phase 2, using this list, we combine service blueprints, fuzzy theory, and FMEA to locate where service failure occurs in the existing CMEC service process. In Phase 3, we map the reasons for service failure to TRIZ optimization and deterioration parameters and deduce innovation principles with a contradiction matrix. Based on these principles and core emotional needs, we propose innovative solutions to these service failures. The study reveals that the emotional needs of elderly people who receive CMEC services have not been adequately addressed. But, by employing Kansei engineering and TRIZ, the CMEC service process can be optimized effectively. • Explore emotional needs identification and CMEC service process optimization. • Use emotional data mining technique collecting data on the elderly's emotional needs. • Apply Kansei engineering and TRIZ integration optimizing CMEC services. • Combine data mining with the construction of perceptual space in the realm of Kansei engineering. • Incorporate the elderly's emotional needs into service optimization.

TechnovationVol. 143
Huaqiao University (CN), National Taiwan Normal University (TW), Ming Chuan University (TW), Krirk University (TH)
Openalex Percentile: Top 1%
Color perception and design
21.95
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