15 August 2026, Volume 22 Issue 4
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Journal of Hangzhou Dianzi University. 2026, 22(4): 1-19. https://doi.org/10.13954/j.cnki.hduss.2026.04.001Investment-financing maturity mismatch has become increasingly prevalent among Chinese enterprises. The associated risks of capital chain disruptions and debt defaults not only constrain the healthy development of the real economy but also pose significant challenges to financial market stability. As one of the most representative frontier technologies, artificial intelligence (AI) not only facilitates the transformation and upgrading of new-quality productive forces but also offers a novel pathway for alleviating corporate investment-financing maturity mismatch and maintaining financial stability. This study examines the impact of AI technology on corporate investment-financing maturity mismatch and explores the underlying mechanisms, with the aim of providing new insights into addressing structural mismatches between investment and financing maturities in the real economy. The results show that AI technology significantly mitigates investment-financing maturity mismatch, with more pronounced effects observed in high-tech enterprises, firms located in regions with higher levels of digitalization, enterprises with weaker human capital, and firms that are more vulnerable to financial distress. Further mechanism analyses indicate that AI technology alleviates maturity mismatch primarily by improving asset allocation efficiency and enhancing firms' access to long-term credit. These findings offer important implications for promoting the adoption of AI technologies by enterprises and for refining regulatory policies related to investment-financing maturity structures.
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Journal of Hangzhou Dianzi University. 2026, 22(4): 20-28. https://doi.org/10.13954/j.cnki.hduss.2026.04.002The customer service industry is undergoing a fundamental transition from “passive problem solving” to “proactive value creation,” in which intelligent customer service has become a key enabling force. Drawing on Chinese and English language literature published between 2020 and 2025, this study employs CiteSpace to conduct a systematic bibliometric analysis of the research landscape, identifying the evolution, core themes, and emerging trends in the field of intelligent customer service. The results show that existing research has experienced three distinct stages-initial exploration, rapid expansion, and sustained growth-throughout which artificial intelligence has consistently served as the central driving mechanism. Current research hotspots are primarily concentrated in three interrelated dimensions: enabling technologies, application scenarios, and user experience. Looking ahead, future research is expected to place greater emphasis on four key orientations-user needs, emotional engagement, service reliability, and intelligence enhancement. By advancing precise, emotionally responsive, reliable, and intelligent service capabilities, intelligent customer service is expected to evolve from a functional “tool” into a collaborative “partner.”
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Journal of Hangzhou Dianzi University. 2026, 22(4): 29-40. https://doi.org/10.13954/j.cnki.hduss.2026.04.003To address the issue of information asymmetry in the recycling and remanufacturing process of electronic waste, this study develops two retailer recycling decision-making models under different scenarios: non-adoption and adoption of blockchain technology. Using backward induction, the optimal decisions under both scenarios are derived. A comparative analysis is then conducted on the profit levels, pricing strategies, and recycling effort levels of supply chain participants across different recycling contexts, thereby identifying the retailer's optimal recycling strategy. MATLAB-based numerical simulations are further employed to validate the analytical results. The findings demonstrate that the adoption of blockchain technology in recycling effectively mitigates information asymmetry and enhances the profits of both manufacturers and retailers. Product traceability capability is positively associated with wholesale prices, retail prices, and the profits of both parties, while negatively associated with transfer prices and recycling effort levels. Moreover, the sensitivity coefficients of transfer prices and recycling effort levels exhibit positive relationships with the decision indicators of both manufacturers and retailers, whereas consumers' price preference coefficient shows a negative relationship with these decision indicators. This study provides theoretical support and managerial insights for the application of blockchain technology in the field of reverse recycling.
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Journal of Hangzhou Dianzi University. 2026, 22(4): 41-49. https://doi.org/10.13954/j.cnki.hduss.2026.04.004The proposition that the basic principles of Marxism are “compatible” with traditional Chinese culture has been subject to skepticism, misinterpretation, and even rejection. This situation calls for a thorough examination of the underlying causes and the development of pathways to resolve these challenges. The conditions under which this “compatibility” holds are as follows: First, the primary meaning of “compatibility” is reflected in areas such as cosmology, worldview, social theory, developmental perspective, and practical methodology. Second, this “compatibility” is not absolute but conditional and context-specific. Third, “compatibility” involves presuppositions, an organizational structure, and the false dichotomy of determining which is “superior” or “inferior.” Fourth, it encompasses the multi-faceted cultural transmission and development laws. This “compatibility” should be viewed in terms of outcomes, not just the process, where the two cultures undergo a “reactive synthesis” and ultimately complement one another to produce tangible, organic results. It has thus generated “an organically unified new cultural entity,” centered on contemporary and 21st-century Marxism, grounded in the culture of socialism with Chinese characteristics for the new era. This new cultural entity internalizes both the timeless truths of classical and modern Marxism as well as the scientific elements of traditional Chinese culture, while simultaneously infusing the values and vibrant forms of the new era into traditional Chinese culture, revolutionary culture, and socialist advanced culture. Additionally, it assimilates positive ideological contributions from all global cultures shared by humanity. The result is an organic fusion of ancient civilization with modern achievements, showcasing the unique characteristics, style, and grandeur of China. It also contributes a distinct Chinese perspective to the global intellectual and cultural landscape, characterized by its strong national identity, relevance to the contemporary era, and dynamic vitality.
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Journal of Hangzhou Dianzi University. 2026, 22(4): 50-57. https://doi.org/10.13954/j.cnki.hduss.2026.04.005In the digital intelligence era, as the “Three-All Education” comprehensive reform and the “Five-Education Integration” initiative continue to advance, enhancing the occupational well-being of ideological and political education teachers in universities can effectively activate the intrinsic motivation of educational actors, strengthen psychological resilience in response to evolving teaching paradigms, and support the implementation of the fundamental task of fostering virtue through education, thereby reinforcing professional value recognition. However, at present, the occupational well-being of these teachers is characterized by several practical challenges, including an imbalance between professional identity value and social recognition, a mismatch between the dual pressures of teaching and research and salary and welfare guarantees, as well as an underdeveloped promotion and evaluation mechanism. The digital intelligence era also provides both technological support and reform opportunities for addressing these challenges and reconstructing teachers' occupational well-being. Accordingly, it is necessary to reconstruct interactive contexts by empowering role transformation and value extension through the “digital streamer” model; optimize working conditions by leveraging “algorithmic empowerment” to alleviate academic and research pressures as well as material constraints; and innovate evaluation paradigms by applying “intelligent computing models” to reduce institutional pressure and stimulate professional motivation. These measures provide both theoretical references and practical pathways for improving the level of professional development of ideological and political education teachers in universities.
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Journal of Hangzhou Dianzi University. 2026, 22(4): 58-66. https://doi.org/10.13954/j.cnki.hduss.2026.04.006in international economic and trade agreements,How to interpret the cross-border data flow exceptions in a reasonable manner remains a fundamental issue that has long remained unresolved in academic circles.At present, the application of such exceptions faces three major challenges: disputes over the right of self-determination, conceptual uncertainty,and unclear relationships between sub-provisions.In response, analytical tools such as 'legal discovery',value supplementation and systematic interpretation can be employed to explore paths in legal hermeneutics. The premise of interpretation lies in the choice between monist and dualist approaches, which determines the legal basis for jurisdiction; by supplementing both statutory and extra-statutory values, uncertain concepts can be reinterpreted; and through systematic interpretation, the relationship between general, security and specific exception clauses can be clarified. In the future, China should uphold the principle of national sovereignty, balancing the self-determination and justiciability of exceptions to cross-border data flows; apply fundamental values and principles of international law to interpret ambiguous concepts in individual disputes; and clarify the relationship between the selective application of sub-provisions in treaty practice, thereby proposing a Chinese solution that combines normativity with flexibility.
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Journal of Hangzhou Dianzi University. 2026, 22(4): 67-78. https://doi.org/10.13954/j.cnki.hduss.2026.04.007The deep integration of digital technologies with judicial reforms has facilitated the large-scale application of judicial data, enhancing the efficiency and consistency of judicial decisions. However, the unique nature of personal information contained in judicial data has led to infringements such as excessive data collection, improper data correlation and analysis, unauthorized circulation, and misuse, creating a conflict between judicial effectiveness and the protection of individual rights. Personal information in judicial data is characterized by its public law attributes and scenario-specific nature. Infringing actors encompass three types: those exercising official authority, those acting under authorization, and those engaged in collaborative efforts. The forms of infringement are diverse, and they pose significant risks to individual rights, the credibility of the judiciary, and the integrity of social governance. At present, the governance of personal information infringements in judicial data faces multiple challenges, including the absence of specialized legislation, limited coverage of judicial interpretations and industry standards, barriers to the realization of rights, and the failure of regulatory mechanisms. To address these issues, it is essential to establish a specialized, differentiated legislative and regulatory framework, strengthen procedural regulation throughout the entire lifecycle of judicial data, develop effective mechanisms for rights realization, and create a collaborative, multi-layered regulatory system that balances judicial data security, public interest, and the protection of personal information rights.
