The Influencing Factors and Improvement Paths of the Manufacturing Industry Innovation System of Products for the Elderly

• Published in: Mathematical problems in engineering Vol. 2022; pp. 1 - 18
• Main Authors: Chen, Yunqi, Xu, Yusen
• Format: Journal Article
• Language: English
• Published: New York Hindawi 11.04.2022; John Wiley & Sons, Inc
• Subjects: Aging; Configurations; Developing countries; Fuzzy sets; Incentives; Industrialized nations; Innovations; LDCs; Manufacturing; Older people; Performance enhancement; Qualitative analysis; System theory; China
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2022/1174622

Taking 22 manufacturing industries of the products for the elderly as the research objects, the process of reachability matrix and grounded theory is used to extract the influencing factors of manufacturing industry innovation system of products for the elderly. They are the completeness of the innovation subject, the ability of the innovation subject, the perfection of the infrastructure, the institutional incentives, the interaction efficiency of the innovation subject, and the degree of lock-in inertia, which are regarded as the condition variables for manufacturing industry innovation system. and the method of fuzzy sets qualitative comparative analysis is used to explore different configuration of conditional variables. The result identifies two configurations, namely, “subject-environment” dual-drive type and “subject-environment-interaction” comprehensive coupling type, which lead to high performance. The result also unfolds two configurations, “resource-oriented” and “technology-locked type,” which lead to failure of the innovation system. Multiple paths indicate that diversified innovation-driven combinations can help improve the performance of the manufacturing industry innovation system of the products for the elderly, and the ability of the innovation subject and the interaction efficiency of the innovation subject are the core driving factors.