4S Model for Emotion-Driven Service Redesign in Combined Medical and Elder Care

A 696.8 KB DOCX file uploaded by An-Jin Shie on March 17, 2026. The document describes a study integrating service blueprint, facial expression recognition, and TRIZ to develop the '4S' model for service redesign. The model was field-tested in three large-scale combined medical and elder care institutions in Fujian Province, China.

Use Cases

• Developing models for real-time emotion-driven service redesign based on the described '4S' framework.
• Identifying critical service failures in elder care based on analysis of immediate emotional responses.
• Generating targeted service redesign solutions inspired by the Theory of Inventive Problem Solving (TRIZ).
• Evaluating the innovativeness and feasibility of service solutions in combined medical and elder care settings.

Strengths

• Field-tested in three large-scale institutions, suggesting practical validation.
• Explicitly identifies three categories of critical service failures and six redesign solutions.
• Licensed under CC-BY-4.0, allowing for open reuse and modification.

Limitations

• The dataset is a 696.8 KB DOCX document; the underlying facial expression data or service blueprint details are not directly provided.
• Row count and column-level documentation are absent; data structure must be inferred from the textual description.
• Geographic scope is limited to institutions in Fujian Province, China.

Provenance

Source

figshare, uploaded by author An-Jin Shie.

Collection Method

Field-tested study integrating service blueprint, facial expression recognition, and TRIZ.

Time Range

The study's temporal coverage is not explicitly stated.

Freshness

Last updated 2026-03-17 16:45:32.

Geography

Fujian Province, China.