Business and Social Sciences Proceedings
An international, peer-reviewed open-access platform that publishes high-quality conference proceedings in the fields of business and social sciences. The series provides a forum for researchers and practitioners to share insights, foster collaboration, and address contemporary challenges. All submissions are rigorously peer-reviewed to ensure the publication of impactful and timely research.
Micro-Level Network Structures of Foreign Language Enjoyment and Boredom: A Comparative Study of English and Non-English Majors
This study adopts a network analytic approach to examine the micro-level structures of Foreign Language Enjoyment (FLE) and Foreign Language Learning Boredom (FLLB) and to compare their configurations between English majors and non-English majors in the Chinese EFL context. Using convenience sampling, 332 first-year students from a comprehensive college in southern China (128 English majors; 204 non-English majors) completed the Chinese Version of the Foreign Language Enjoyment Scale (CFLES) and the Foreign Language Learning Boredom Scale-Short Form (FLLBS-SF). Gaussian Graphical Models were estimated separately for each group, followed by case-dropping bootstrap stability tests, centrality and bridge-centrality analyses, and a Network Comparison Test (NCT). Results showed that for both FLE and FLLB, the two groups did not differ significantly in overall network structure or global strength, suggesting largely comparable emotional system organization across majors. In both groups, nodes clustered in line with the theorized dimensions, providing network-level structural support for construct validity. At the node level, learning enjoyment emerged as a central hub of FLE across groups, whereas teacher-related nodes (e.g., friendliness/support) and atmosphere-related nodes (e.g., good atmosphere/positive environment) displayed group-specific prominence and bridging roles. For FLLB, central "hotspots" differed: English majors' boredom centered on classroom phenomenology (time dragging perception and low engagement), whereas non-English majors' boredom additionally highlighted exercise monotony and general dullness. Bridge analyses further revealed distinct cross-dimensional diffusion pathways, indicating that repetitive exercises and generalized dullness were key connectors in English majors, while classroom boredom and listening dullness functioned as stronger bridges in non-English majors. Stability indices suggested that centrality estimates, especially in the English-major networks, should be interpreted cautiously.
Copyright (c) 2026 Nanxuan Li, Xia Hong (Author) https://creativecommons.org/licenses/by/4.0
The Role of Supply Chain and Digital Marketing in Brand Growth: Platform Effectiveness via Cross-Border Cultural Product Live Streaming
Amid booming global digital trade and the rapid rise of cross-border e-commerce live streaming, this study examines Chinese cultural and creative products as key carriers for cultural globalization and foreign trade growth. It addresses three core questions: the driving mechanism through which cultural exchange promotes commercial value conversion, the main barriers that hinder this process, and the corresponding industry-level management strategies that can enhance performance. Grounded in interdisciplinary theories from marketing, international business, and cultural studies, the research adopts an explanatory sequential mixed-methods design, combining semi-structured expert interviews with a large-sample survey of cross-border live streaming participants. The study analyzes how cultural and creative product supply chains, digital marketing practices, and platform effectiveness jointly influence commercial conversion and brand growth. Empirical results confirm significant positive effects of supply chain robustness, platform functional empowerment, and cultural marketing adaptability on conversion performance, cultural communication efficiency, and user participation. At the same time, cross-cultural cognitive barriers, supply chain response lags, and compliance risks emerge as three core constraints, with marked heterogeneity between Southeast Asian and European–American markets. Based on these findings, the paper proposes four-dimensional collaborative governance strategies involving platforms, enterprises, regulators, and service providers. The study offers theoretical enrichment for research on cross-border live streaming and practical guidance for cultural and creative enterprises seeking sustainable overseas expansion and standardized industry development.
Copyright (c) 2026 Qiuyan He, Chonlavit Sutunyarak (Author) https://creativecommons.org/licenses/by/4.0
Research on the Hollowing-out Characterization in the Evolution of Chinese Cities: A Multidimensional Comparative Analysis Based on Guangzhou and Langfang
The aim of this study is to explore the evolutionary difference of cities at different levels in the process of China's urbanization, with a focus on the comparison of Guangzhou, a representative "growth-oriented city," and Langfang, which is confronted with the risk of "functional hollowing out." Through the analysis of population dynamics, economic structure, industrial layout, innovation capacity, and public service levels from 2021 to 2024, it was found that Guangzhou, relying on its strong industrial resilience and agglomeration capacity, has established a virtuous cycle of population inflow, improvement of industrial efficiency, and enhancement of public service levels. However, while Langfang enjoyed the crowding-out effect of Beijing, it now encounters the dual risks of permanent resident outflow and low-end industrial lock-in, driven by the strong suction force of core cities. The study also improved the formation mechanism of urban hollowing out, offering suggestions on the governance of small and medium-sized cities to avoid functional hollowing out.
Copyright (c) 2026 Qi Liu (Author) https://creativecommons.org/licenses/by/4.0
Research on the Construction of an AI-Driven Financial Regulatory Early Warning Mechanism
This research article basically searches the growing of an AI-aim regulative former warning mechanism aimed at predict and mitigating fiscal peril, thereby through an examination of current methodologies and desegregate finding from empiric information, this work advises a novel fabric that utilize machine learning and news to enhance regulative praxis. Salute implications for policymakers and fiscal institutions, the resultant betoken a meaning melioration in name and react to potential instabilities.
Copyright (c) 2026 Xiaowen Zhang (Author) https://creativecommons.org/licenses/by/4.0
Research on Multidimensional Design of Huaiyang Mud Dog Cultural and Creative Products Based on the Taihao Mausoleum Temple Fair
Huaiyang Mud Dog, as a national-level intangible cultural heritage, carries the primitive genes of Fuxi culture and serves as a unique cultural symbol in the Central Plains region. The Taihao Mausoleum Temple Fair attracts over 8 million tourists annually, providing a natural sales scenario and cultural dissemination window for Mud Dog. However, the current sales model of Mud Dog at the temple fair remains at the "street stall" stage, with problems such as single product forms, weak brand awareness, and extensive consumption experience. This paper takes the Taihao Mausoleum Temple Fair as the core scenario, integrates brand design and marketing theories, and proposes a design path for deep integration of branding and temple fair economy. The research constructs implementable plans from six dimensions: brand positioning, brand identity system, product strategy, pricing strategy, channel strategy, and promotion strategy, and explores innovative models of experience marketing and private traffic operation, aiming to provide systematic theoretical and practical paths for the transformation and upgrading of Mud Dog from traditional handicraft to modern cultural brand.
Intangible Cultural Heritage Inheritance
Copyright (c) 2026 Jing Li, Nurul Azlen binti Hanifah (Author) https://creativecommons.org/licenses/by/4.0
Contemporary Chinese Shadow Puppet Character Design Inspired by Traditional Shadow Puppetry Culture
Chinese shadow puppetry, inscribed on UNESCO's Intangible Cultural Heritage list in 2011, faces a crisis of media disconnection and aesthetic mismatch with contemporary audiences. This research explores how the visual language of traditional shadow puppetry can be translated into contemporary game character design. By deconstructing the artistic features of six major regional schools (Shaanxi, Jinzhou, Wannan, Sichuan, Yunnan, Lufeng), we extract core genetic elements: contour, color symbolism, decorative patterns, and structural modularity. Using the classic narrative of Journey to the West as a content vehicle, we develop a four-stage design methodology—deconstruction, extraction, reconstruction, and adaptation—to create twelve game characters that retain traditional aesthetic genes while meeting modern digital media requirements. Expert evaluation using the Index of Consistency (IOC) confirms the cultural accuracy and design feasibility of the outcomes. This study provides an operational pathway for the creative transformation of intangible cultural heritage and demonstrates the potential of traditional aesthetics in the digital entertainment industry, offering both theoretical insights for heritage studies and practical guidance for game art design.
Copyright (c) 2026 Bao Zhu, Wechagorn Talwanna (Author) https://creativecommons.org/licenses/by/4.0
The Design of Museum Development Guideline for the Presentation of Artworks in Guizhou Provincial Museums
Museums play an essential role in preserving cultural heritage and disseminating artistic knowledge to the public. With the rapid advancement of digital technologies, museums worldwide have increasingly integrated digital media into exhibition design to enhance visitor engagement and improve the effectiveness of cultural dissemination. Nevertheless, many regional museums still rely heavily on traditional exhibition approaches, which often provide limited interpretive information and insufficient interactive experiences for visitors. As a result, the communication potential of museum collections may not be fully realized. This study investigates the current challenges of artwork dissemination at Guizhou Provincial Museum and explores how digital technologies can improve exhibition communication. A mixed-method research design was adopted. Quantitative data were collected through a questionnaire survey of 100 museum visitors to identify key problems encountered in artwork dissemination and visitors' expectations for digital interpretation services. In addition, qualitative insights were obtained through semi-structured interviews with five museum staff members and five experts in museum digitalization and exhibition design. The findings reveal three major issues in the current exhibition system: insufficient interpretation of artworks, limited opportunities for interactive engagement, and inadequate digital communication support. Based on these findings, the study proposes four strategic directions and a structured framework for digital development guidelines aimed at enhancing artwork dissemination. This research contributes to the field of museum digital communication by providing a systematic guideline framework tailored to regional museums and offering practical insights for improving digital exhibition design and cultural dissemination.
Copyright (c) 2026 Qi An, Krisada Daoruang (Author) https://creativecommons.org/licenses/by/4.0
The Design of a Recycled Art Activity Guide for Rural Primary School Students in Hubei, China
This study aims to design a recycled art activity guide for lower-grade primary school students in rural areas of Hubei Province, China. In many rural schools, art education is limited by insufficient teaching resources and a lack of diverse art materials. Recycled art provides an alternative approach by using easily accessible waste materials to support creative learning and environmental awareness.This study adopts a qualitative research approach within a Research and Development (R&D) framework. Data were collected through semi-structured interviews with a school administrator, a primary school art teacher, and an art education expert to understand the context of rural art education and gather suggestions for activity design. Based on the literature review and interview findings, a recycled art activity guide consisting of sixteen activities for students in Grades 1-3 was developed. The guide was further refined through two rounds of expert discussions.The results show that recycled materials can serve as accessible resources for creative art activities in rural classrooms. The activity guide provides structured learning objectives, suggested materials, and step-by-step procedures to support teachers in implementing recycled art activities.This study contributes to art education by proposing a practical framework for integrating recycled materials into primary school art teaching and promoting creativity and environmental awareness among rural students.
Copyright (c) 2026 Xiaoqian Kang, Krisada Daoruang (Author) https://creativecommons.org/licenses/by/4.0
Mapping Triadic Transformations: Computational Parsing and Visualization
In this paper, a framework for the analysis of chord progressions based on the neo-Riemannian music theory is introduced, focusing on the Parallel (P), Leittonwechsel (L), and Relative (R) transformations. This paper is a continuation of the theoretical framework of music analysis, particularly the geometric and algebraic approaches of Fiore et al. A parser is introduced that can analyze raw symbolic musical data into normalized pitch class sets. These sets can then be transformed into geometric data for the analysis of the relationships of the chords. The framework is useful in analyzing conventional and non-traditional chord progressions, such as those produced by computers, which do not follow the conventional diatonic norms. The system can transform the raw symbolic data into two- and three-dimensional tonal space diagrams that can illustrate the relationships of the chords, which may not be clear in the conventional symbolic notation. The results show the potential of the use of computers in expanding the conventional models of music analysis.
Copyright (c) 2026 Peiyu Zeng (Author) https://creativecommons.org/licenses/by/4.0
AI-Supported Digital Restoration and Generative Design of Fengxiang Woodblock New Year Prints
This paper investigates how artificial intelligence (AI) can be integrated into the digital restoration and innovative transformation of intangible cultural heritage (ICH), using Fengxiang woodblock New Year prints as a representative case. Rather than framing AI as an autonomous creative agent, the study positions AI as a supportive component within a human-centred, constraint-based design workflow. Adopting a qualitative and practice-based research approach, the paper examines how AI-assisted image restoration, constrained generative exploration, and designer-led evaluation interact during the design process. The findings indicate that AI can contribute to the interpretation and preservation of traditional generative logic while supporting culturally grounded adaptation in contemporary cultural and creative products. The study further argues that maintaining human judgement and cultural constraints is essential for preventing stylistic drift and ensuring responsible AI use in heritage-sensitive design contexts.
Copyright (c) 2026 Jie Yu, Ahmadrashidi Bin Hasan (Author) https://creativecommons.org/licenses/by/4.0
Chinese Oil Painting Perspectives: Conceptual Analysis and Guideline Development for Artists
In contemporary oil painting, moving beyond superficial Sino-Western fusion to construct a spatially and culturally grounded artistic language remains a central challenge for Chinese artists. This study focuses on Chinese oil paintings produced between 1966 and 1976, aiming to analyze how traditional Chinese pictorial perspective concepts were integrated into these works and, based on this analysis, to develop a practical guideline for contemporary artists. Employing an interpretive qualitative design, the research combines literature review, visual analysis of representative "Red Classic" works, and semi-structured interviews with three expert practitioners and educators. The findings reveal that key leader images, revolutionary history paintings, and thematic works on workers, peasants, and soldiers from this period formed a hybrid spatial system. While Western linear perspective structures near space, traditional Chinese devices-such as the Three-Far Method, scattered perspective, viewing big from small, virtual-real interplay, anti-perspective, and temporal perspective-shape narrative depth, emotional tone, and the viewer's "roaming" experience. Based on this historical analysis, the study develops a practical guideline that reframes these traditional concepts as a flexible toolkit for designing eye routes, spatial hierarchy, and mood in contemporary oil painting. This guideline provides artists and educators with a structured path to move beyond camera-dependent, single-point perspective and cultivate an internalized sense of Chinese spatial and temporal logic.
traditional Chinese painting perspective
Copyright (c) 2026 Kehong Peng, Manus Keawbucha, Nut Chiangthong (Author) https://creativecommons.org/licenses/by/4.0
A Framework for the Digital Transformation of Traditional Bamboo Weaving in Contemporary Interior Design
This study explores the digital transformation and spatial application of traditional bamboo weaving in contemporary interior design. It aims to develop a parametric modeling framework that translates traditional bamboo weaving techniques into computational design parameters, thereby enabling their effective integration into modern interior environments. A mixed-method research approach was adopted, including literature review, field investigation, expert interviews, and parametric modeling experiments. Field studies were conducted in three representative bamboo weaving regions Qingshen (Sichuan), Shengzhou (Zhejiang), and Gutian (Fujian) to collect quantitative technical data. including bamboo filament precision, weaving density, perforation rate, thermoforming temperature, and structural performance. These parameters were systematically translated into digital variables and implemented through parametric modeling using Rhino and Grasshopper. The results demonstrate that traditional bamboo weaving techniques can be effectively transformed into a parametric digital design model capable of generating adaptable patterns, structures, and spatial elements for interior applications. The proposed framework reconstructs the logic of weaving through computational algorithms and supports design implementations such as spatial partitions, lighting elements, decorative screens, and wall installations. By transforming experiential craft knowledge into a structured parametric system, this research contributes to the fields of digital heritage and computational design. It provides a practical methodological pathway for integrating traditional craftsmanship with contemporary interior design practices, thereby supporting the sustainable preservation and innovative development of bamboo weaving as an intangible cultural heritage.
Copyright (c) 2026 Yuxia Wang, Krisada Daoruang (Author) https://creativecommons.org/licenses/by/4.0
Applied the Chinese Paper Cutting Teaching Guideline in Modern Multimedia Technology for Primary School Art Courses
This study explores integrating Chinese paper-cutting with modern multimedia technology (AI, AR, VR) in primary art education, aiming to build a teaching guide that balances cultural heritage with technological empowerment. Using a "culture-technology-education" framework, the research employed literature analysis, expert interviews, surveys, teaching experiments, and IOC evaluations. Interviews clarified the educational logic of AI, AR, and VR, identifying a "digital design + manual implementation" path. Surveys revealed key needs like resource scarcity and student preference for cooperative learning. Based on these findings, a progressive 12-lesson, six-module course was developed. A 4-hour teaching experiment with fifth graders in Guangzhou showed significant improvements in pattern understanding, technical skills, learning interest, and cultural identity. The resulting guide and resource package offer practical, ready-to-use support for teachers. The study concludes that merging paper-cutting with multimedia technology effectively stimulates artistic interest and cultural identity while fostering innovative thinking. It holds strong theoretical and practical value, suggesting future work should expand trials and explore emerging technologies to build a broader digital education ecosystem for intangible cultural heritage.
Copyright (c) 2026 Qimeng He, Manus Keawbucha, Nut Chiangthong (Author) https://creativecommons.org/licenses/by/4.0
The Creation of 3D Modular Furniture Design Inspired by the Arts on Beam of Huizhou Architecture
In the global design trend, integrating traditional aesthetics into modern design to achieve innovative transformation is an urgent need. Huizhou architecture, as a world cultural heritage, its beam art combines mechanics and aesthetics and has distinct regional characteristics. Modular furniture design, with its flexibility and adaptability, has become the key to addressing modern space demands. This research aims to analyze the beam artistic features of Huizhou architecture and creatively transform them into 3D modular furniture designs. Through literature analysis, field investigations, and expert interviews, the core characteristics of Huizhou beams in components, mortise and tenon combinations, and decorations were systematically examined. Subsequently, the research proposed a design path of "form extraction - element deconstruction - modern translation - module reorganization", completing the design of 4 modular units and the 3D conceptual display of 6 spatial combination forms. The results of a questionnaire survey conducted by professional designers showed that the design achieved a satisfaction rate of 93.2% in cultural inheritance and 93.2% in industrialization potential. The high recognition of the design successfully explored an innovative path for the contemporary dynamic inheritance of traditional architectural culture.
Copyright (c) 2026 Yu Wang, Manus Kaewbucha, Nut Chiangthong (Author) https://creativecommons.org/licenses/by/4.0
Design and Utility of a Graphical User Interface for Hierarchical Attack Representation Models
The increasing complexity of cyber threats poses significant cognitive challenges for security analysts and creates communication barriers between technical experts and non-technical stakeholders. While graphical security models like the Hierarchical Attack Representation Model (HARM) offer a scalable solution for analysis, their practical utility is often hindered by the lack of intuitive interfaces. This paper presents the design, implementation, and evaluation of a novel web-based Graphical User Interface (GUI) for HARM, built to enhance network security analysis through effective visualization. Grounded in human-computer interaction (HCI) principles, the interface integrates the HARM model with the Harmat analysis engine, allowing users to interactively build, visualize, and analyze multi-layered attack paths. We detail the system's architecture and key design choices, such as the dual-layer canvas for attack graphs and attack trees, visual iconography, and a logical layout aimed at reducing cognitive load. Furthermore, we discuss the broader implications of this tool beyond technical analysis, exploring its potential as an educational platform for cybersecurity training and as a communication medium to facilitate risk-based decision-making in organizational contexts. The results demonstrate that a well-designed visual interface not only improves the efficiency of security analysis but also makes complex security concepts more accessible to a wider audience.
Copyright (c) 2025 Ruoqi Guo (Author) https://creativecommons.org/licenses/by/4.0
Research on Digital Quality Traceability System for Temperature-Controlled Supply Chain of Foreign Trade Wine Driven by Blockchain and IoT
This study designs a four-layer digital quality traceability system adapted for cross-border use, integrating smart contracts to achieve environmental monitoring and anomaly identification throughout the wine transportation process. It proposes the FedTSA-BC algorithm, integrating a federated temporal attention network and a blockchain consensus mechanism to balance privacy protection, anomaly detection accuracy, and consensus efficiency. Experimental verification based on 162 batches of foreign trade wine data shows that the system and algorithm achieve a comprehensive anomaly detection F1 score of 98.1%, an early warning accuracy of 98.6% for temperature fluctuations of 1.5-2℃, a response time of 0.3s, a consensus latency of 1.2s under multi-node concurrency, and a throughput of 320TPS. Cross-organizational data verification efficiency is improved by 40% compared to traditional methods. This research effectively solves the core problems of unreliable traceability of temperature and seismic data and the imbalance between real-time early warning, providing technical support for digital quality management of the temperature-controlled supply chain of foreign trade wine.
Copyright (c) 2025 Yuhua Du (Author) https://creativecommons.org/licenses/by/4.0
From Land Cover Change Modeling to Precision Conservation: A Review of Methods, Applications, and Future Directions
As global urbanization and climate change intensify, the demand for data-driven spatial strategies to enhance landscape resilience has become paramount. This paper provides a comprehensive review of the evolution of Land Use and Land Cover Change (LUCC) modeling and its critical role in advancing Precision Conservation and Green Infrastructure (GI) planning. We analyze the methodological trajectory from traditional statistical models, such as Logistic Regression and Markov Chains, to modern intelligent frameworks involving Cellular Automata (CA), Machine Learning (ML), and Deep Learning (DL). The review highlights how these predictive tools enable a shift from reactive environmental protection to proactive spatial design. Specifically, LUCC modeling facilitates the identification of vulnerable biodiversity hotspots and the delineation of Ecological Security Patterns (ESP) by simulating "Sources," "Corridors," and "Strategic Points." Furthermore, we explore the integration of modeling into GI planning through scenario-based analysis (e.g., Business-as-Usual vs. Ecological Priority) and multi-objective optimization algorithms to ensure multifunctional urban resilience. Despite these advancements, significant challenges persist, including spatial-temporal data constraints, the "black box" nature of complex algorithms, and the "pixel-to-parcel gap" in policy implementation. We conclude that the future of resilient landscape management lies in the development of Digital Twins and a strengthened transdisciplinary collaboration between data scientists, ecologists, and urban planners to close the implementation gap between theoretical simulation and actionable spatial policy.
Copyright (c) 2025 Ming Gao (Author) https://creativecommons.org/licenses/by/4.0
Research on the Path of Business Intelligent Transformation Based on RPA + AIGC
The introduction of AI-generated content (AIGC) influenced by Robotic Process Automation (RPA) is allowing businesses to take advantage of emerging technology. The objective of this study is to determine the extent to which "RPA + AIGC" is transforming fundamental operations in enterprises and providing a comprehensive solution to the hurdles associated with integrating these technologies into business operations and how to monetize the business. Based on the findings from the research, the study has produced a progression transformation framework which includes technology platforms, data engineering and organizational architectures; as well as a blueprint comprised of both theoretical insight and real-world application for companies to utilize in adapting to intelligent transformation, as well as to enhance their competitive position in a rapidly changing marketplace.
Copyright (c) 2025 Qiaoyu Cao (Author) https://creativecommons.org/licenses/by/4.0
Governance Mechanisms and Data Protection in Smart-Healthcare Data: An Institutional Analysis
The rapid expansion of smart-healthcare systems, integrating electronic health records, IoT devices, and AI-driven platforms, has created unprecedented opportunities for personalized medicine and predictive analytics. However, this evolution also intensifies concerns regarding privacy, accountability, and regulatory fragmentation. Existing studies largely emphasize either technical safeguards or compliance with legal frameworks, leaving the institutional dynamics of governance underexplored. To address this gap, the present study employs an institutional analysis, focusing on coercive, normative, and mimetic pressures that shape organizational responses. A qualitative comparative case study approach is applied across three regulatory contexts: the European Union's GDPR, the United States' HIPAA, and China's PIPL. Document analysis and historical interpretation reveal that while GDPR enforces strong rights-based protection, HIPAA balances legal mandates with professional ethics, and PIPL combines state authority with organizational imitation. Findings highlight the trade-offs between innovation and protection and demonstrate the emergence of hybrid governance practices that integrate legal, ethical, and imitative mechanisms. This research advances academic debates by bridging institutional theory with digital health governance and offers practical insights for policymakers, healthcare providers, and technology developers seeking adaptive and interoperable frameworks.
Copyright (c) 2025 Zhangzhi Yang (Author) https://creativecommons.org/licenses/by/4.0
The Impact of Online Advertising on Consumer Choice: Consumption Traps and Digital Marketing Ethics
This paper explores "Dark Patterns" and behavioral manipulation mechanisms in digital marketing, revealing how enterprises use algorithm-driven consumption traps to exploit scarcity bias and cognitive load, thereby interfering with consumers' rational decision-making. This study finds that manipulative interface designs, such as biased default options and layered information concealment, violate the transparency principles of marketing ethics. Meanwhile, the misuse of data through cross-platform tracking and real-time behavioral feedback forms a "data-manipulation closed loop", establishing dynamic pressure-applying mechanisms and infringing on privacy. At the theoretical level, these digital marketing strategies rooted in behavioral economics' choice form a pervasive behavioral intervention ecosystem, which systematically undermines the information transparency and autonomous decision-making conditions required by Rational Choice Theory (RCT). From a practical perspective, this research proposes a three-tier governance framework. Firstly, enterprises need to standardize policies, clarify information disclosure, prohibit bundled authorization, and establish automatic data deletion mechanisms. Secondly, the industry should achieve co-governance through a blacklist system and implement joint punishment for non-compliant enterprises. Thirdly, addiction-inducing metrics need to be excluded, and priority should be given to matching users' genuine needs in technological applications. The ultimate goal of digital marketing should be to build long-term consumer trust relationships. Through enterprise standardization, practitioners' responsibility awareness, and industry co-governance, it returns to the essence of serving user needs and achieves a win-win situation for both commercial and social values.
Copyright (c) 2025 Yangjin Zeren (Author) https://creativecommons.org/licenses/by/4.0
Research on Public Policy Innovation Pathways in the Development of the Private Economy
The private economy plays a significant role in the national economy, and its healthy development is crucial for economic growth and social stability. Currently, the private sector faces challenges from changing external environments and internal transformation pressures, necessitating effective support from public policies. This study investigates potential avenues for the implementation of innovative public policies that will address barriers such as the fragmentation of public policies and inefficiency in their execution, and concludes by stressing the importance of developing a systematic policy framework, facilitating the digital transformation of service delivery, supporting government-private sector collaboration, and enhancing the public policy's ability to respond to a rapidly changing world. Through these avenues, this research provides an opportunity to inject new energy into the high-quality growth of the private sector.
Copyright (c) 2025 Ziqing Yang (Author) https://creativecommons.org/licenses/by/4.0
FinTech Empowerment of Digital Transformation in Small and Medium-Sized Banks: Pathways and Risk Analysis
This review examines the pathways and risks of FinTech-enabled digital transformation in small and medium-sized banks (SMEs). It explores core banking modernization, customer-facing digital channels, data-driven decision-making, and collaboration with FinTech startups as key strategies for enhancing operational efficiency, customer engagement, and competitiveness. The study also analyzes operational, cybersecurity, regulatory, and financial risks associated with digital adop-tion, and proposes mitigation strategies including technology governance, regulatory compliance frameworks, human capital development, and ecosystem collaboration. Finally, future research directions and practical recommendations for SMEs and policymakers are discussed, highlighting the potential of emerging technologies and sustainable banking practices to drive resilient and inclusive digital transformation.
Copyright (c) 2025 Han Liu (Author) https://creativecommons.org/licenses/by/4.0
Data-Driven Strategies in Energy, Transportation, and Urban Planning: Challenges and Opportunities
Data-driven strategies have become essential for optimizing complex systems in energy, transportation, and urban planning. By integrating advanced machine learning techniques, real-time sensing, behavioral analytics, and multi-source data, these approaches enable predictive modeling, adaptive resource allocation, and evidence-based decision-making. Applications range from carbon-aware energy optimization and resilience planning to personalized transportation services and smart urban infrastructure management. Despite challenges such as data quality, model interpretability, and behavioral variability, the convergence of multi-modal data, optimization frameworks, and socio-behavioral insights provides a roadmap for sustainable, efficient, and resilient urban systems. This review synthesizes recent methodologies, applications, and challenges, highlighting opportunities for future research and policy development in data-driven urban and energy systems.
Copyright (c) 2025 Xu Liu (Author) https://creativecommons.org/licenses/by/4.0
The Strategic Role of Information Systems in Shaping Competitive Advantage: Internal and External Impacts on Business Environments
In the contemporary business environment, information systems (IS) have evolved from simple operational tools into strategic assets that shape how organizations compete, innovate, and adapt to market challenges. This paper investigates the multifaceted influence of IS on both organizational performance and industrial competition. Rather than merely improving efficiency, information systems now function as catalysts for strategic transformation and sources of sustainable competitive advantage. Within internal operations, the integration of IS supports data-driven management and facilitates the reconfiguration of traditional workflows. By digitizing core processes and enhancing communication across departments, organizations can achieve greater coherence, transparency, and adaptability. The transformation of DP World exemplifies this process—its adoption of intelligent digital infrastructure has optimized global trade logistics, reduced redundancy, and strengthened its position in international markets. Such developments demonstrate that the strategic use of technology extends far beyond automation; it redefines how value is created and delivered. Externally, IS reshape competitive interactions within industries by altering entry barriers, customer expectations, and cost structures. Porter’s Five Forces framework offers a theoretical lens to understand this phenomenon. A prominent illustration is Ocado, an online grocery enterprise that integrates artificial intelligence, robotics, and machine learning to enhance fulfillment accuracy and operational agility. Through technological sophistication, Ocado not only achieves superior service quality but also constructs a resilient competitive shield that limits new market entrants. Although the financial and organizational costs of implementing advanced IS can be considerable, their long-term benefits are profound. Beyond cost savings, these systems contribute to strategic differentiation, continuous innovation, and the cultivation of dynamic capabilities. Ultimately, businesses that recognize and leverage the strategic potential of IS are more likely to maintain relevance and leadership in an era defined by digital transformation and rapid technological evolution.
Copyright (c) 2025 Xinyi Liu (Author) https://creativecommons.org/licenses/by/4.0
The Pedagogical Power of Sesame Street in Fostering Preschoolers' Language Development
This study conducts a qualitative content analysis of the long-standing children's educational program Sesame Street to examine its efficacy as a tool for language development in preschoolers. Focusing on phonological awareness and vocabulary acquisition-two critical predictors of later literacy and academic this research analyzes over 108 minutes of curated episodes and clips to identify and categorize the specific pedagogical strategies employed. The findings reveal that the program utilizes a multifaceted approach, including explicit instruction in rhyming and syllable segmentation, the integration of nursery rhymes and repetitive songs, and direct vocabulary teaching supported by strong multisensory (visual and auditory) cues. Furthermore, the program leverages celebrity appeal and music genres to introduce uncommon vocabulary and concepts like antonyms in an engaging manner. The study concludes that Sesame Street serves as a valuable audiovisual scaffold, providing rich linguistic exposure that may compensate for limited input in some home environments and thus contribute significantly to school readiness. While the program demonstrates potent immediate educational benefits, the discussion also addresses critiques regarding the durability of its effects and its replaceability in the evolving landscape of educational media. This research underscores the potential of well-designed educational programming as a supplemental tool for early childhood language development.
Copyright (c) 2025 Junyao Yao (Author) https://creativecommons.org/licenses/by/4.0
A Dynamic Multi-Factor Portfolio Strategy Utilizing Ensemble Decision Trees
Traditional linear multi-factor models often fail to capture the complex, non-linear dynamics inherent in modern financial markets. To address this limitation, this paper proposes an Ensemble-based Dynamic Multi-factor (EDMF) framework for constructing robust investment portfolio strategies. Using Chinese A-share market data from 2021 to 2023, encompassing 2,893 stocks and 101 alpha factors, a sophisticated data preprocessing pipeline is implemented, including LSTM-based imputation and dynamic Winsorization. The core of the EDMF framework features a gradient boosting-based feature engineering engine and an Attention-LSTM module, which dynamically adjusts factor weights according to prevailing market conditions. The model employs an incremental learning strategy, updating parameters every 30 trading days to adapt to structural market shifts. Experimental results on the 2023 test set demonstrate the superiority of the proposed approach. The LightGBM-based model achieved a mean Information Coefficient (IC) of 0.153, an annualized return of 31.4%, and a Sharpe ratio of 2.08, significantly outperforming other ensemble models such as XGBoost and traditional linear models. These findings validate the effectiveness of applying advanced machine learning techniques to develop adaptive and highly profitable quantitative investment strategies.
Copyright (c) 2025 Qianli Ma (Author) https://creativecommons.org/licenses/by/4.0
Sustainability Principles in Hospitality Vocational Education in China: A Comprehensive Review
Sustainability is no longer optional-it is a defining imperative for both global education and the hospitality sector, where resource intensity and environmental pressures demand urgent transformation. This study presents a systematic literature review (SLR), guided by the PRISMA framework, to explore how sustainability principles are embedded in China's hospitality vocational education. From an initial pool of 1,032 records, 50 peer-reviewed studies (published between 2015 and 2025) were analyzed. The findings reveal four key themes: curriculum integration, where experiential models such as farm-to-table projects and green restaurant simulations translate theory into practice; industry-education collaboration, which improves employability but remains uneven; regional disparities, with eastern provinces leading while central and western regions lag due to policy and resource gaps; and pedagogical innovations, where project-based learning and digital platforms enhance sustainability literacy yet fall short in driving consistent behavioural change. While notable progress has been made, challenges such as outdated curricula, limited faculty expertise, and unequal access persist. The study concludes that achieving truly transformative and equitable sustainability education requires systemic curriculum reform, targeted faculty development, supportive policy frameworks, and stronger, incentivized industry partnerships.
Copyright (c) 2025 Lu Teng, Nice Maylani Asril, Trianasari M.M., AA Ngurah Yudha Martin Mahardika (Author) https://creativecommons.org/licenses/by/4.0
Transnational Fan Culture and Cultural Identity: The Iron Man Series and Chinese Cinema Market Dynamics in Cross-Cultural Media Exchange
This study examines the intersection of transnational fan culture and cultural identity through the lens of the Iron Man series' reception in the Chinese cinema market. By analyzing the complex dynamics between Hollywood's globalization strategies and Chinese audiences' cultural responses, this research investigates how transnational media franchises navigate cross-cultural communication while fostering fan communities that transcend geographical and cultural boundaries. Through textual analysis and discourse analysis methodologies, this research explores how the Iron Man series serves as a vehicle for understanding broader patterns of cultural exchange, identity formation, and market adaptation in the contemporary global media landscape. The findings reveal that nearly half of audiences for superhero films are women in China, with a majority of consumers of superhero film-related products also being women, indicating significant gendered patterns in transnational fan engagement. This research contributes to the growing body of literature on transnational cinema studies while providing practical insights for media industries seeking to engage cross-cultural audiences effectively.
Copyright (c) 2025 Zhuoling Zheng (Author) https://creativecommons.org/licenses/by/4.0
Rethinking Musical Knowledge: Issues of Equity and Curriculum Design in Contemporary Chinese Music Education
This study examines equity and curriculum design issues in contemporary Chinese music education through a critical lens of knowledge construction. Employing qualitative research methods including classroom observations and semi-structured interviews across urban and rural contexts, the research reveals significant disparities in resource allocation, teaching content, and student participation opportunities. Current curriculum designs predominantly emphasize skill-oriented approaches while neglecting students' multicultural backgrounds and individual expression needs. The findings indicate a persistent tension between policy intentions for inclusive education and actual classroom practices that perpetuate educational inequalities. Drawing from critical pedagogy frameworks, this study proposes reshaping musical knowledge paradigms beyond traditional Western-centric and technique-focused models, towards approaches that are more culturally responsive and socially just. The research contributes theoretical insights and practical recommendations for developing equitable, inclusive, and culturally diverse music education systems in China.
Copyright (c) 2025 Mengying Liu (Author) https://creativecommons.org/licenses/by/4.0
On Certainty – The Comparison between Spinoza and Zhuangzi's Monism
In this paper, the concept of monism is compared between Spinoza and Zhuangzi. Although both ultimately aim at liberation from the autocracy of theology or morality, their ontological starting points differ significantly. Spinoza’s monism is rooted in a rational and deterministic substance, emphasizing certainty and logical necessity, whereas Zhuangzi’s monism arises from an indeterminate Dao, characterized by fluidity and uncertainty. These ontological differences—marked by opposing properties yet situated within the same metaphysical dimension—give rise to fundamentally distinct epistemological frameworks. As a further development, this paper reinterprets Spinoza’s classification of knowledge by introducing new dimensions grounded in the contrast between certainty and uncertainty. This revised framework is then applied to a deeper investigation into the nature of certainty itself, shedding light on how different metaphysical assumptions shape modes of knowing and the limits of human understanding.
Copyright (c) 2025 Jinfeng Zhang (Author) https://creativecommons.org/licenses/by/4.0