28 December 2025, Volume 10 Issue 6

    

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  Management Empowerment and Professional Development: Evaluating Smart Libraries from the Perspective of Performance and Effectiveness

  Ke Ping

  Journal of Information and Management. 2025, 10(6): 1-11.

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  With the rapid advancement of information technology, the development of smart libraries has become a core task and strategic direction for the transformation and development of the global library field. This paper,grounded in the context of smart library development being elevated to a national strategy during the 14th Five-Year Plan period, delves into the shift in smart library evaluation paradigms—from performance evaluation focused on efficiency to effectiveness evaluation emphasizing tangible outcomes. It systematically reviews the development of public library evaluation in China and its role in driving technological adoption. It distinguishes between performance evaluation and effectiveness evaluation by examining their core concepts, theoretical foundations, and international practices. Furthermore, it constructs a comprehensive evaluation framework encompassing multiple dimensions:smart spaces, smart services, smart resources, smart management, and smart librarians. Drawing on representative domestic and international case studies, this paper analyzes the key technologies, practical achievements, and challenges currently facing smart library development. It aims to provide theoretical references and practical pathways for the scientific evaluation and sustainable development of future smart libraries, ultimately driving the professional advancement of library services through management empowerment. This will enable libraries to demonstrate their irreplaceable social value in the era of digital intelligence.
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  The Limitations of Artificial Intelligence Technology and Strategies for Its Application in Museums

  Zhang Xiaopeng

  Journal of Information and Management. 2025, 10(6): 12-23.

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  This paper systematically analyzes the core challenges faced by artificial intelligence technologies, particularly large language models (LLMs), in museum applications. By examining the structural limitations inherent in LLMs, it further explores the practical difficulties encountered by museums when implementing AI. In response to these issues,systematic countermeasures and a tiered governance framework are proposed to provide methodological support for the controlled implementation of AI in the cultural heritage sector. The study demonstrates that through prudent planning and scientific governance, artificial intelligence can serve as an effective tool to enhance the core operational capabilities of museums, offering sustainable momentum for innovation in cultural heritage preservation, research, and public services.
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  From Knowledge “Warehouse” to Wisdom “Incubator”—— A Decade of Shanghai Library Open Data Contest

  Zhang Chunjing Ji Ting Zhang Zheyu

  Journal of Information and Management. 2025, 10(6): 24-27.

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  From DH to AI-DH: Evolution, Methodology, and Cognition

  Yang Xin, Yeerdana Kenjibieke, Wen Fuquan, Chen Tao

  Journal of Information and Management. 2025, 10(6): 28-40.

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  The rapid rise of generative artificial intelligence is propelling digital humanities (DH) toward a paradigm shift to AI-driven intelligent humanities (AI-DH). This study provides a systematic account of this transformation by examining its external morphological evolution, internal methodological innovations, and underlying cognitive reconstruction. In terms of research morphology, AI-DH is characterized by human-AI collaboration, integrated and generalized technological architectures, the activation of data intelligence, and the emergence of novel research forms. Cognitively,AI-DH embodies the dialectical unity of human and machine intelligence, the convergence of humanistic rationality and probabilistic inference, and the coexistence of deep exploration and broad generalization. Methodologically, AI-DH demonstrates a theoretical shift from tool-based assistance to intelligent partnership, from humanities-centered to humancentered inquiry orientation and a transition from linear workflows to open generative systems. These shifts give rise to four emerging paradigm patterns: generative humanities, dialogic humanities, simulated humanities, and extended humanities. Overall, AI-DH not only expands the boundaries and capabilities of traditional DH but also reshapes its epistemic foundations and practical pathways, offering a systematic framework for the intelligent evolution of humanities research in the era of generative AI.
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  Kinship Strength and Transnational Remittances: A Digital Humanities Analysis of the Chaoshan Qiaopi Archive

  Fang Boyu

  Journal of Information and Management. 2025, 10(6): 41-51.

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  In studies on migration and remittances, the impact of kinship strength on international remittances lacks empirical testing. This paper constructs a remittance database of Chaozhou-Shantou immigrants in Southeast Asia from 1915 to 2000 based on the Chaozhou-Shantou Overseas Correspondence archives. Within the framework of digital humanities, it reconstructs kinship structures based on the titles used in the correspondence, quantifies transnational kinship indices, and, combined with clan associations, hometown associations, Chinese-language newspapers, and genealogical records, constructs social network indicators. Ordinary least squares and two-way fixed effects estimates show that the recipient’s kinship intensity index is the most robust predictor of remittance behavior: each increase in kinship rank is associated with an increase of about 20% in remittance frequency relative to the sample mean. Once sending and receiving locations are held constant, the explanatory power of associational and media networks declines, and Qiaopi agencies function mainly as transaction channels rather than sources of motivation. Interaction terms indicate that genealogical documentation amplifies the effect of kinship,suggesting that lineage institutions strengthen family-based remittance obligations through collective memory and reputational constraint. The study integrates historical textual sources with econometric methods and provides Chinabased evidence on remittances from a social network perspective.
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  Design and Implementation of Linked Data-Driven Digital Storytelling for Lu Xun’s Shanghai Residence Period

  Lu Yingjie Lv Xingyue He Lin

  Journal of Information and Management. 2025, 10(6): 52-66.

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  This study focuses on the activities and practices of Lu Xun during his Shanghai residence period (1927—1936)as the primary research object, with the aim of systematically revealing his behavioral strategies and intellectual trajectory within a specific historical context through digital methods. First, by integrating linked data and narrative theory, a digital storytelling model was constructed to support semantic associations and spatiotemporal visualization. Second, resources such as the Shanghai Library API and Lu Xun’s chronology were systematically integrated and organized, on which basis a digital storytelling platform was developed to realize the narrative presentation of Lu Xun's life trajectory and Shanghai’s urban space in spatiotemporal dimensions, followed by an analysis thereof. This study achieves visualized narratives based on spatiotemporal semantics, provides a verifiable digital storytelling paradigm for research on Lu Xun’s later thoughts, and expands the methods of digital humanities in the narrative analysis of historical literature.
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  Proposing a Design Framework for Red-Themed Educational Games Empowered by RAG and Prompt Engineering

  Wang Xiaowei Ma Xinyi Wu Yulin

  Journal of Information and Management. 2025, 10(6): 67-81.

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  This study tackles the issues of lack of narrative appeal, low engagement and poor historical authenticity in digitizing red culture resources, by proposing an interdisciplinary framework for red-themed educational games, integrating self-determination theory and flow theory to address adolescent psychological needs. The approach employs retrievalaugmented generation (RAG) and a dual-layer prompt mechanism to dynamically retrieve knowledge and ensure content accuracy, ensuring historical authenticity, and effectively enhancing the interest and immersive experience of red education.A game prototype, Retracing the Red Journey, was developed using data from the Shanghai Library and Jiaxing Library.Results confirm its effectiveness in enhancing user immersion, engagement, and historical understanding, offering a practical model for innovating red culture education.
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  Construction of Competency Model of Digital Intelligent Talents for Information Management and Information System Major in University

  Hu Lei Chen Wei Guo Fengjia

  Journal of Information and Management. 2025, 10(6): 82-96.

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  The deepening development of digitization and intelligence has generated a huge demand for digital intelligent talents. In the array of disciplines and majors in universities that cultivate digital intelligent talents, the major of information management and information system occupies an important position. This study contributes to the theoretical development of the academic discourse on cultivating digital intelligent talents in the field of information management and information system and responds to the needs and challenges posed by the era of digital intelligence at a practical level. Based on the definition of the competency of digital intelligence talents for the major of information management and information system, we collect data on digital intelligence-related job postings for undergraduates in information management and information system from a large online job search website. It then extracts relevant categories using grounded coding method, ultimately developing a demand-driven competency model of digital intelligence talents for the major of information management and information system. The model identifies 13 main categories, classified into three groups: knowledge, skills, and personal qualities, with intrinsic logical relationships among them. The model shows that digital intelligence has reconfigured the traditional core competencies of talents in information management and information system, further expanding the competency structure of talents in the context of big data, giving more prominence to development skills,and encompassing a broader range of new skills.