Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

Industrial Transformation Strategic Research of Integrating Traditional Chinese Medicine into Elderly Care Services in Hubei Province Based on Data Processing and SWOT Analysis

Authors
Ling-Shan Li1, Jun Ma1, Xin-Ya Li1, Bo Su1, *
1Hubei University of Traditional Chinese Medicine, Wuhan, China
*Corresponding author. Email: 150257076@qq.com
Corresponding Author
Bo Su
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_63How to use a DOI?
Keywords
Traditional Chinese medicine; Data analysis; Elderly Care Services; Social security industry; Industrial transformation; SWOT model; SPSS analysis
Abstract

Under the background of China's big health industry, the development of traditional Chinese medicine industry has ushered in a huge opportunity. The advantages of traditional Chinese medicine in the treatment of chronic diseases and geriatric diseases should be brought into play. In the era of big data, more accurate industrial transformation and upgrading strategies can be introduced based on specific data processing. In this paper, through market survey and data processing by SPSS, data shows that the feasibility of integrating traditional Chinese medicine into the pension industry. The research involved 171 participants, who responded to a topic-specific version of the Attitude towards traditional Chinese medicine in the treatment of chronic diseases and geriatric diseases Questionnaire. Several analytic techniques, including the chi-square test and Cramer’s V test, showed that people got positive attitudes about traditional Chinese medicine but they also requested more services in the treatment of chronic diseases and geriatric diseases. Using SWOT analysis, the development path of integrating traditional Chinese medicine into the pension industry is discussed from the strengths, weaknesses, opportunities and threats, and put forward targeted policy suggestions. Integrating traditional Chinese medicine into the pension industry needs the joint efforts of the government, schools and enterprises. Only in this way can the two industries develop together.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_63How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ling-Shan Li
AU  - Jun Ma
AU  - Xin-Ya Li
AU  - Bo Su
PY  - 2022
DA  - 2022/12/29
TI  - Industrial Transformation Strategic Research of Integrating Traditional Chinese Medicine into Elderly Care Services in Hubei Province Based on Data Processing and SWOT Analysis
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 607
EP  - 615
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_63
DO  - 10.2991/978-94-6463-102-9_63
ID  - Li2022
ER  -