15 April 2026, Volume 22 Issue 2
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Journal of Hangzhou Dianzi University. 2026, 22(2): 1-8. https://doi.org/10.13954/j.cnki.hduss.2026.02.001Original and disruptive technological innovation serves as the wellspring of scientific and technological progress. It provides essential support for achieving greater self-reliance and strength in science and technology, and for seizing strategic opportunities presented by a new wave of scientific and technological revolution and industrial transformation. Moreover, it plays a decisive role in opening up new domains and pathways and in fostering new-quality productive forces. China has made sustained progress in basic research, capacity building, and the development of application scenarios, thereby laying a solid foundation for advancing original and disruptive innovation and facilitating the emergence and application of a series of significant achievements. Nevertheless, several critical challenges persist, including limited capacity to tackle major original scientific problems, an insufficient pool of top-tier talent, and inadequate mechanisms for translating research outcomes into practical applications. These challenges largely stem from a misalignment between existing support systems and the intrinsic laws of innovation, the absence of a fully developed environment that encourages exploration and tolerates failure, and talent cultivation and utilization mechanisms that remain ill-suited to the demands of breakthrough innovation. Addressing these issues requires a comprehensive approach grounded in top-level strategic design. Priority should be given to strengthening the coordinated allocation of resources and optimizing support mechanisms, while deepening cross-disciplinary collaboration to systematically cultivate high-caliber innovative talent. In addition, it is essential to establish dedicated support institutions and channels, reinforce long-term and stable investment, and foster an innovation ecosystem that encourages bold exploration and breakthrough. Together, these measures will provide a robust institutional foundation for the sustained advancement of original and disruptive technological innovation.
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Journal of Hangzhou Dianzi University. 2026, 22(2): 9-21. https://doi.org/10.13954/j.cnki.hduss.2026.02.002AI-generated knowledge search is catalyzing a paradigm shift from “retrieving existing information” to “generating knowledge on demand,” thereby emerging as a novel approach to knowledge search that fosters enterprise innovation. From the perspective of promoting the adoption of AI-generated knowledge, this study examines how organizational members choose between internal and external AI-generated knowledge search strategies through two scenario-based experiments. The findings indicate that, compared with external search, internal AI-generated knowledge search significantly enhances employees' perceived credibility of AI-generated knowledge, which in turn increases their willingness to adopt it. Furthermore, in the context of searching for AI-generated technical knowledge, internal search demonstrates a stronger positive effect on perceived credibility than external search. In contrast, when searching for AI-generated market knowledge, no significant difference is observed between internal and external search strategies in terms of their impact on perceived credibility.
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Journal of Hangzhou Dianzi University. 2026, 22(2): 22-36. https://doi.org/10.13954/j.cnki.hduss.2026.02.003Using China's provincial panel data from 2013 to 2021, this study constructs a comprehensive evaluation index system for rural digital infrastructure in China. The Dagum Gini coefficient, kernel density estimation, and the natural breaks classification method are employed to examine its development level and regional disparities. Furthermore, the DEA window analysis method is applied to assess the efficiency of rural digital infrastructure in narrowing the urban-rural income gap, income disparities across rural regions, and income inequality among farmers. The results indicate that although China's rural digital infrastructure has experienced steady improvement, its overall development level remains relatively low and growth has been modest. A pronounced spatial gradient is evident, with development levels declining from the eastern coastal regions toward inland areas. Interregional disparities contribute approximately 50% of the overall regional inequality. From a dynamic perspective, both overall and interregional disparities in rural digital infrastructure development exhibit a downward trend nationwide. The relative gap between the western region and the eastern and central regions has narrowed, although substantial intraregional disparities persist within the western region. Marked intraprovincial heterogeneity is observed, giving rise to a five-tier structure comprising low, relatively low, medium, relatively high, and high development levels. In terms of overall gap-narrowing efficiency, rural digital infrastructure development in China at the current stage largely conforms to the requirements of moderately forward-looking development. Improvements in comprehensive gap-narrowing efficiency are primarily driven by gains in technical efficiency, while the capacity to translate technological conditions into effective scale and coverage benefits remains limited. On this basis, policy recommendations are proposed from three perspectives: moderately forward-looking investment, comprehensive and coordinated development, and region-specific advancement of rural digital infrastructure.
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Journal of Hangzhou Dianzi University. 2026, 22(2): 37-49. https://doi.org/10.13954/j.cnki.hduss.2026.02.004To overcome the limitations of relying on external internet influencers in rural digital transformation and to explore the endogenous drivers of rural revitalization, this study examines the digital evolution of local rural influencers through the lens of social capital theory. Using three native rural influencers with over one million followers on the Kuaishou platform as case studies, the research adopts content analysis and categorizes the evolution process into three stages: initial, growth, and maturity. An analytical framework integrating network relationships, trust-building, and reciprocity norms is developed, and a fixed-effects model is employed to identify the factors influencing communication effectiveness. The findings reveal a three-stage evolutionary pattern: initial stage (social capital acquisition), growth stage (social capital maintenance), and maturity stage (social capital transformation). The common development path can be summarized as “traffic accumulation→commercial monetization→social empowerment.” Key social capital elements, including co-creation and fan incentives, as well as content features such as editing techniques and video duration, significantly influence communication outcomes. Notably, authenticity and strong local embeddedness emerge as the core competitive advantages of rural influencers. The proposed three-stage evolution model offers both theoretical and practical contributions, providing a robust framework for understanding the development of local rural influencers and actionable guidance for their cultivation in practice.
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Journal of Hangzhou Dianzi University. 2026, 22(2): 50-61. https://doi.org/10.13954/j.cnki.hduss.2026.02.005This study conducts a visual analysis of 50 650 research articles on college student entrepreneurship published since 1993 and indexed by CNKI. Drawing on historical institutionalism and bibliometric methods, it maps the evolution of academic attention and identifies key research hotspots in the field. In terms of developmental trajectory, the research can be divided into three phases: the spontaneous exploration period, the policy-driven boom period, and the transformation period characterized by an emphasis on high-quality entrepreneurship. Through data mining and cluster analysis, four major thematic clusters are identified: entrepreneurship as a driver of employment, entrepreneurship education, entrepreneurial practice, and student-led ventures. The study further examines the leading research institutions, most productive universities, and influential scholars in the field, analyzing their contributions and research orientations. Looking ahead, future research is encouraged to shift from qualitative to quantitative approaches, to focus more on college entrepreneurship within the context of the digital economy, and to explore comparative dimensions across regions, development stages, and disciplinary backgrounds. These findings help to clarify current trends and offer scientific guidance for the further development of college student entrepreneurship research in China.
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Journal of Hangzhou Dianzi University. 2026, 22(2): 62-67. https://doi.org/10.13954/j.cnki.hduss.2026.02.006In the aftermath of the Sino-Japanese War of 1894—1895, Japan utilized the substantial indemnities extracted from the Qing Dynasty to accelerate its industrialization. Under the support of national fiscal and financial policies and guided by state-led capital, Japan achieved simultaneous development of light and heavy industries, thereby laying the foundation for a modern capitalist economy. Concurrently, extensive government investment in military expansion increasingly infused Japanese capitalism with militaristic characteristics, imbuing industrialization with a pronounced military orientation and a clear focus on supporting external war of aggression. Thus, warfare and expansionism were not only instrumental in facilitating Japan's modernization but also constituted key drivers and pathways in the broader trajectory of its industrial and modern development.
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Journal of Hangzhou Dianzi University. 2026, 22(2): 68-78. https://doi.org/10.13954/j.cnki.hduss.2026.02.007The digital era has markedly increased the demand for electronic evidence in cross-border criminal investigations, exposing significant challenges in China's traditional cross-border criminal e-evidence system, particularly in system design, procedural arrangements, and the protection of rights. To facilitate the system's transformation, it is essential to assess its current status and limitations, analyze the underlying causes of existing problems, and propose reform pathways that effectively support cross-border criminal investigations. China can advance cross-border e-evidence practices by establishing robust international law enforcement cooperation mechanisms and transitioning jurisdictional frameworks toward a sovereignty-adjusted “data controller” model. For the traditional system, creating expedited channels for mutual legal assistance and strengthening routine inter-state cooperation can enhance the efficiency and reliability of criminal judicial assistance. Additionally, implementing tiered electronic evidence collection rules through supporting legislation can safeguard both national sovereignty and citizens' fundamental rights. These measures collectively contribute to the development of a new cross-border criminal e-evidence system with Chinese characteristics, better aligned with the demands of the digital era.
