Journal of Thai-Chinese Social Science (JTCSS)

Research on AI-Embedded To-Be Processes and Modern Hospital Management

2026-02-03T09:45:20+07:00

With the rapid development of artificial intelligence (AI) technologies, the healthcare industry is accelerating its transformation toward intelligent and digitalized systems. The To-be process, as an important tool for designing future ideal business models, provides a structural framework for the systematic application of AI in hospital management. This study focuses on the implementation pathways and managerial value of embedding AI into To-be processes, and analyzes its role in improving operational efficiency, optimizing resource allocation, and promoting the transformation of management models. The results indicate that AI integration into To-be processes produces significant effects at three levels. First, at the operational level, intelligent triage, automated scheduling, and process coordination mechanisms shorten patient waiting times and improve the efficiency of connections between clinical and administrative processes. Second, at the resource allocation level, data analytics and predictive models enable dynamic scheduling and refined management of medical resources, improving equipment utilization and workforce allocation. Third, at the management model level, AI facilitates the transformation of hospitals from experience-driven management to data-driven and intelligent decision-making management, enhancing the scientific basis and responsiveness of managerial decisions. Deep integration of AI into To-be processes helps promote the transition of hospital management from traditional experience-based approaches to data-driven and intelligent collaborative models.

A Review of Cultural Heritage Tourism Research on the Death Railway in Thailand

2026-05-08T23:36:38+07:00

This article critically discusses the Death Railway in Thailand as a cultural heritage tourism landscape rather than merely as a wartime remnant or dark tourism attraction. Focusing on Kanchanaburi, it examines how the railway has been reinterpreted through museums, memorial spaces, railway journeys, visitor experience, local tourism development, and heritage governance. The discussion argues that the Death Railway’s contemporary value lies in the interaction between historical memory, interpretation, development, and governance. It concludes that Thailand’s future use of the Death Railway should balance tourism development with historical responsibility, stronger museum interpretation, local participation, and more inclusive remembrance of both prisoners of war and Asian labourers.

Theoretical Adaptability and Mechanism of the "Jinjiang Experience" in Leading the Innovative Development of Digital Cultural Tourism

2026-05-03T21:06:56+07:00

Against the backdrop of the 15th Five-Year Plan explicitly proposing the innovative development of the "Jinjiang Experience", digital cultural tourism, as a new form of integrated modern service industry and digital economy, urgently requires adaptable localized theoretical guidance for its high-quality development. This study extends the application scenario of China's "Jinjiang Experience" from traditional manufacturing to the field of digital cultural tourism, aiming to systematically deconstruct the theoretical adaptability between the two and reveal the internal mechanism of its leading role. Through literature review and theoretical deduction, this paper first clarifies the core connotation and contemporary significance of the "Jinjiang Experience": market-oriented, private-sector-led, entity-based, reform and innovation-driven, and coordinated development. Furthermore, it constructs an analytical framework for the theoretical adaptability between the "Jinjiang Experience" and the innovative development of digital cultural tourism from five dimensions: value orientation, development subject, driving force, practical path, and ultimate goal. The study argues that the "Jinjiang Experience" leads digital cultural tourism to achieve profound transformations from factor-driven to innovation-driven, from homogeneous competition to characteristic development, and from government-led to multi-stakeholder governance through the fourfold mechanism of "strategic anchoring – market activation – factor empowerment – governance coordination".

Technology Acceptance, Actual Use, and Learning Outcomes in AI-Assisted Music Teaching: Evidence from Chinese University Students

2026-05-01T22:33:52+07:00

The objectives of this research were (1) to examine the influence of facilitating conditions and perceived ease of use on perceived usefulness and students’ attitudes toward AI-assisted music teaching, (2) to investigate the influence of perceived usefulness and attitude on students’ behavioral intention and actual use of AI-assisted music teaching, and (3) to examine the influence of perceived usefulness and actual use of AI-assisted music teaching on students’ learning outcomes. This study employed a quantitative research approach, collecting data through an online questionnaire using purposive sampling combined with convenience and random sampling from 511 valid university students majoring in music from multiple universities across different regions of China who had experience with or exposure to AI-assisted music teaching tools. The analysis included descriptive statistics, measurement model evaluation, and structural model evaluation using partial least squares structural equation modeling to test the proposed hypotheses.Major findings: (1) on the influence of facilitating conditions and perceived ease of use, the results showed that facilitating conditions significantly influenced perceived ease of use and perceived usefulness, while perceived ease of use significantly influenced perceived usefulness and students’ attitudes toward AI-assisted music teaching; (2) on the influence of perceived usefulness and attitude, the results showed that perceived usefulness significantly influenced attitude and behavioral intention, while attitude significantly influenced behavioral intention and behavioral intention significantly influenced actual use of AI-assisted music teaching; and (3) on the influence of perceived usefulness and actual use on learning outcomes, the results showed that perceived usefulness and actual use both significantly influenced students’ learning outcomes.

The Mechanism of Social Security on Household Saving Behavior from the Perspective of Multidimensional Preferences

2026-05-01T22:36:52+07:00

Against the macro background of expanding domestic demand and unclogging the domestic circulation in China, the pattern of high savings and low consumption among urban and rural residents has not been fundamentally changed. Relevant academic discussions still lack sufficient micro-level paths and quantitative evidence on how social security affects household saving behavior in regions with concentrated private sectors. This paper takes Quanzhou, a city with a highly developed private economy, as the research setting to systematically examine the effect of social security on local residents’ household saving behavior and test the mediating role of precautionary saving motivation therein. Based on 537 micro-survey questionnaire data, this study employs SPSS 26.0 to conduct reliability and validity tests, descriptive statistics, correlation analysis, multiple regression, and the Bootstrap mediating effect test. The empirical results show that social security has a significant negative effect on residents’ saving behavior in Quanzhou (β=-0.266, p<0.01) and significantly inhibits precautionary saving motivation; precautionary saving motivation has a significant positive driving effect on saving behavior and plays a partial mediating role between social security and saving behavior. This paper enriches the micro-empirical findings on household saving behavior in regions with a vibrant private economy, advances the localized application of precautionary saving theory, and can provide decision-making references for Quanzhou and similar regions to improve the social security system and guide residents to save and consume rationally.

Understanding Virtual Agglomeration Dynamics in the Digital Age: Empirical Evidence from China’s Provinces

2026-05-01T22:40:48+07:00

This study examines the spatial distribution of virtual agglomeration across Chinese provinces from 2012 to 2021, using regional grouping, the ratio to the national average, and the quartile method to analyze the overall trend of virtual agglomeration in China and the changes across 31 provinces (including municipalities). The study explores the persistence and volatility of virtual agglomeration, as well as the temporal trajectories of nine closely related factors. Our findings reveal a pronounced disparity in virtual agglomeration across provinces, although this gap appears to be narrowing. Human capital emerges as a significant factor influencing variations in virtual agglomeration. Furthermore, virtual agglomeration exhibits substantial temporal shifts and regional heterogeneity, with the eastern regions leading and the western regions trailing, reflecting an imbalanced development trajectory. Compared to the Northeast, the East shows declining human capital, increased innovation, stronger geographical agglomeration, weaker digital economy, higher green economic efficiency, higher domestic value-added in exports, lower high-quality economic development, and stronger new quality productivity. The Central region shows declining human capital, significantly increased innovation, very strong geographical agglomeration, a stronger digital economy, higher green economic efficiency, higher domestic value-added in exports, lower high-quality economic development, and weaker new quality productivity. The West shows increasing human capital, higher innovation, weaker geographical agglomeration, a weaker digital economy, higher green economic efficiency, higher domestic value-added in exports, lower high-quality economic development, and stronger new quality productivity. These factors influence virtual agglomeration, ultimately leading to the highest levels in the East, followed by the Central and Western regions, while the Northeast exhibits fluctuations. The latter three regions have consistently been below the national average. Therefore, the virtual agglomeration levels in areas outside the East, particularly in the Western and Northeastern regions, should be further enhanced.

Challenges of IoT Application in JD's Intelligent Warehousing System

2026-04-21T00:35:11+07:00

In the context of the continuous growth of the e-commerce industry leading to a massive demand for warehousing, the transformation of warehousing to intelligence has become an inevitable trend. This study focuses on the application of Internet of Things (IoT) technology across the entire warehousing process, using the JD Quanzhou Intelligent Warehousing System as the case study. Considering the regional industrial characteristics of Quanzhou, it analyzes core challenges from three dimensions: technology, management and operation, and external environment, including data security, technical compatibility, network stability, personnel skills, cross-departmental collaboration, and policy regulations. Targeted breakthrough strategies, such as technological innovation optimization, management and operational innovation, and external environment response, are proposed, including strengthening data encryption and access controls, improving the talent training mechanism, and promoting the formulation of industry standards. The practice shows that these strategies have effectively improved operational efficiency, reduced operating costs, and the order accuracy rate is above 99%. The research provides a practical, targeted reference for enabling IoT to empower intelligent transformation in warehousing across the e-commerce and logistics industries.