Article Author: Yih-Chang Chen, Chia-Ching Lin

With the rapid development of artificial intelligence (AI) technology, its applications across various fields have demonstrated significant effectiveness, particularly in the domain of social services. This study explores how AI technology can enhance service quality, improve operational efficiency, and drive management innovation in social services. Based on data-driven AI approaches, we conduct an in-depth analysis of social service institutions in Taiwan, focusing on long-term care, mental health, and child welfare services. Using a mixed-methods approach combining questionnaire surveys and in-depth interviews, this study finds that AI technology significantly improves service quality, particularly in terms of service accuracy and client satisfaction. Additionally, AI plays a crucial role in enhancing operational efficiency and optimizing resource allocation. Furthermore, AI applications facilitate management innovation in social service institutions, yielding positive outcomes in resource distribution, decision support systems, and cross-departmental collaboration. Despite these promising results, challenges such as data privacy concerns and staff adaptability issues remain and require further attention in future implementations. This study not only fills a research gap in AI applications for social services but also provides valuable insights for policymaking and practical applications in social service institutions.

Keywords: Artificial Intelligence (AI); Management Innovation; Social Services; Data-Driven; Cross-Sector Collaboration

Article Review Status: Published

Pages: 34 - 50

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