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A Review of Research on Elderly-oriented Digital Products: Demand Mining, Obstacle Analysis and Optimal Design Lin Yuqin　Zhao Yang　Liu Wanting　Wang Lin Journal of Information Resources Management    2024, 14 (4): 146-160.   DOI: 10.13365/j.jirm.2024.04.146 Abstract （885）      PDF（pc） （4159KB）（9087）       Knowledge map    Save The "digital divide" exacerbated by the simultaneous development of population aging and social digitization has become increasingly severe, prompting a focus on the research and design of elderly-oriented digital products within both industry and academia. Using a systematic review approach, this study analyzes 348 research articles on elderly-oriented digital product design indexed in CNKI and Web of Science from 2014 to 2023. It explores the research progress and developing trend of the demand mining, usage obstacles, and optimal design of digital products for elderly users. The findings reveal that research on elderly users' needs mainly focuses on the three levels of material, emotional and spiritual needs, with significant focus on sensory barriers, cognitive barriers, behavior barriers and psychological barriers in product usage. The study investigates elderly-oriented design through various lenses, including design standards, optimization countermeasures, and usability testing. Future research should further consider the evolving nature of digital products and demographic trends by enhancing the methods for sample collection, innovating research methodologies, and expanding the content of studies. The findings of this study provide valuable references for identifying research priorities in elderly-oriented digital product adaptation, spotlighting emerging areas, advancing theoretical frameworks, and also offer practical insights for the proactive development of an age-friendly digital society. Related Articles | Metrics | Comments（0）

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Criteria of Structural Equation Modeling: Comparisons and Enlightenments of CB-SEM and PLS-SEM Yuan Ye　Shiau Wenlung　Yu Yuan　Wang Kanliang　Li Yiran Journal of Information Resources Management    2023, 13 (3): 6-22.   DOI: 10.13365/j.jirm.2023.03.006 Abstract （4170）      PDF（pc） （2464KB）（7713）       Knowledge map    Save Structural Equation Modeling (SEM) is used to analyze the complex relationships between observed variables and latent variables. Covariance-based structural equation modeling (CB-SEM) and partial least squares structural equation modeling (PLS-SEM) are the two types of SEM. SEM has been widely used in social science such as organizational management, information systems, marketing management and other disciplines. In recent years the number of research papers using PLS-SEM method has increased. Since CB-SEM and PLS-SEM are different in algorithm and requirements, the application of unsuitable methods may lead to inaccurate results. Therefore, it is necessary to understand the differences between the two methods and report guidelines. This paper reviews the conditions and application criteria of CB-SEM and PLS-SEM, and takes the use of fintech by wealth management enterprises as an example to compare the analysis process and results of the two methods, emphasizing the importance and necessity of choosing appropriate methods. This paper provides a valuable reference for researchers to use SEM for accurate data analysis. Related Articles | Metrics | Comments（0）

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Research on the Formation Mechanism of Social Media Group Polarization under Hot Events Peng Guochao　Cheng Xiao Journal of Information Resources Management    2023, 13 (2): 42-52.   DOI: 10.13365/j.jirm.2023.02.042 Abstract （1709）      PDF（pc） （1084KB）（7413）       Knowledge map    Save By exploring the mechanism of generating social media group polarization, this study aims to provide a reference for guiding and avoiding social media group polarization. Based on the social burning theory, this study uses existing literature and selected cases to refine six explanations, including interest oppeals, news narrative framework, opinion leaders, initial media, issue types, and communication forms, and uses the clear-set qualitative comparative analysis to explore the generative path of social media group polarization. The study found that news narrative framework is a necessary condition for social media group polarization, and opinion leaders are the core condition for social media group polarization, which act as "accelerators" to jointly promote the generation of group polarization; As the "ignition temperature", the issule type has a moderating effect on the generation of social media group polarization; Hot events in the form of pictures and texts are more likely to cause group polarization on social media. Related Articles | Metrics | Comments（0）

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An Empirical Study on the Influence of Socio-technical Factors on Short Video Addiction: The Moderating Effect of Recommendation Algorithms Xie Xinzhou　Du Yan Journal of Information Resources Management    2023, 13 (1): 65-77.   DOI: 10.13365/j.jirm.2023.01.065 Abstract （1171）      PDF（pc） （1232KB）（5787）       Knowledge map    Save Based on a socio-technical perspective, this study examined the influence of social and technological factors on short video addiction through an online questionnaire survey. The findings reveal that personalization, responsiveness, active user control, and parasocial relationships can predict short video addiction. At the same time, user’s use of algorithms moderate the relationships between various factors and addiction. It will aggravate addiction by strengthening the influence of susceptibility factors and weakening the constraint of inhibitory factors. This study emphasizes the importance of the socio-technical interaction and algorithmic context on short video addiction, which enriches theoretical models and empirical studies of short video addiction. The results provide important practical implications for improving the effectiveness of anti-addiction through the synergistic optimization of social and technological systems. Related Articles | Metrics | Comments（0）

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Experts in Information Resource Management Discipline Discussing "The 2024-2035 Master Plan on Building China into a Leading Country in Education"(Part 1): Talent Cultivation and Digital Literacy Education Sun Jiangjun Wu Dan Sun Xin Zhang Jiuzhen Huang Ruhua Li Yanke Journal of Information Resources Management    2025, 15 (2): 4-12.   DOI: 10.13365/j.jirm.2025.02.004 Abstract （527）      PDF（pc） （790KB）（4718）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Research on the Path to Realize the Value of Data Elements Ma Feicheng　Wu Yishu　Lu Huizhi Journal of Information Resources Management    2023, 13 (2): 4-11.   DOI: 10.13365/j.jirm.2023.02.004 Abstract （1888）      PDF（pc） （1011KB）（4629）       Knowledge map    Save Identifying the path to realize the value of data elements is of great significance to accelerate the deep integration of digital economy and real economy. In order to explore the mechanism and path of realizing the value of data elements, this study combs the existing ways and attributes of data elements, clarifies the mechanism of realizing the value of data elements on this basis, and constructs the value realization path including basic activities, auxiliary activities and value development based on the value chain theory. The research shows that the value realization mechanism of data elements includes subject participation mechanism, marketization realization mechanism, ownership definition and transfer mechanism. Data collection, data organization, data circulation and data utilization are the basic paths to realize the value of data elements, while the three auxiliary activities of data security protection, data technical support and data talent guarantee ensure the realization of value. Related Articles | Metrics | Comments（0）

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Personal Information Protection in Precise Advertising Technology: Based on the Text Analysis of Cookie Technology in the Privacy Policies of 100 APPs in China Liao Bingyi　Zhang Huihui　Liu Dingwen Journal of Information Resources Management    2023, 13 (1): 103-114.   DOI: 10.13365/j.jirm.2023.01.103 Abstract （847）      PDF（pc） （829KB）（4534）       Knowledge map    Save The development of precision advertising cannot be separated from the legitimate use of personal information. On the basis of clarifying the technical logic of precision advertising and the relationship between cookies and personal information protection. This paper uses text analysis method to conduct in-depth analysis on the contents of cookie technology in the 100 mobile app privacy policies commonly used by domestic users, and finds that the overall app privacy policy in China has made considerable progress compared with the past, especially after the promulgation of the personal information protection law. There is still significant room for improvement in the protection of personal information in precision advertising, which can be improved from the following four directions of the basic principles of privacy policy, consent mode, language expression and user rights. With the help of the government, industry and enterprises, we can jointly promote the balance between the subject of personal information protection and the subject of privacy policy formulation, and promote the healthy and sustainable development of the advertising industry. Related Articles | Metrics | Comments（0）

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The Academic Dialogue Journey in Case Study Research: Insights from the Information Systems Field Li Liang　Wang Mingxu Journal of Information Resources Management    2023, 13 (3): 112-123.   DOI: 10.13365/j.jirm.2023.03.112 Abstract （554）      PDF（pc） （2125KB）（4255）       Knowledge map    Save In recent years, the case study method has been attached great importance and widely used in the domestic management academia. However, the development of domestic case studies was hindered by a number of typical problems that led to weak theoretical contributions. In order to address these problems, this paper argues that the researcher should carry on in-depth dialogues with literature, theory, phenomenon, methodology and self in conducting case study research. We analyze exemplary case studies from leading journals in the field of information systems and refine the aforementioned five aspects into nine specific academic dialogues. The “best practices” highlighted in these exemplary case studies provide researchers with rich and referential examples. Finally, we make some suggestions on how to improve the quality of domestic case studies. Related Articles | Metrics | Comments（0）

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The Evolution and Contemporary Perspectives on the Empowerment of Intelligence by Artificial Intelligence Technology Li Guangjian　Pan Jiali Journal of Information Resources Management    2024, 14 (2): 4-20.   DOI: 10.13365/j.jirm.2024.02.004 Abstract （1378）      PDF（pc） （1976KB）（4241）       Knowledge map    Save This paper systematically explores the evolution and application of artificial intelligence (AI) technology in intelligence work, revealing its new developments in ideology, characteristics, technical methods, and practical scenarios. Transitioning from a rule-based paradigm to the era of foundation model approaches, AI presents significant opportunities for the intelligence field’ s enhancement in intelligence processing. However, it also introduces novel challenges related to ethics, legal considerations, and privacy concerns. The paper identifies issues and challenges that should be addressed by the intelligence community in the new era of intelligence. Furthermore, the paper proposes forward-thinking strategies to address these issues and challenges, providing valuable insights for the stable development of intelligence field. Related Articles | Metrics | Comments（0）

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Value Creation of Data Elements: Review and Research Prospects Zhao Caijing Journal of Information Resources Management    2024, 14 (2): 41-53.   DOI: 10.13365/j.jirm.2024.02.041 Abstract （1484）      PDF（pc） （985KB）（4065）       Knowledge map    Save Data has become a key production factor in China’s economic and societal development, with the circulation and value realization of data elements progressively becoming a crucial means for the high-quality development of the digital economy. This paper reviews the literatures and practices concerning the value creation of data elements, examining aspects such as the connotation, mechanisms, driving factors, obstacles and development paths. Based on this, this paper identifies gaps in the existing literatures on the value creation of data elements, advocating for a future research agenda that emphasizes interdisciplinary integration. It also proposes to explore future research directions and methodologies from perspectives including the conceptualization and measurement of data element value, determinants, and mechanisms of influence. Related Articles | Metrics | Comments（0）

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The Main Practice and Basic Experience of Foreign Government Data Asset Management Xia Yikun　Guan Qian Journal of Information Resources Management    2022, 12 (6): 18-30.   DOI: 10.13365/j.jirm.2022.06.018 Abstract （2472）      PDF（pc） （840KB）（4014）       Knowledge map    Save In the digital era, with the rapid expansion of government data volume and the updating of technological means, especially with the continuous promotion of big data strategy, open government data strategy, artificial intelligence strategy, and digital economy strategy, the important value of data as a strategic asset has become a global consensus. Focusing on the full realization of government data value and risk balance,this paper takes the strategies, policies and practical regulations of government data assets management in representative countries as the research object, then analyzes and summarizes its common characteristics and basic experience. That is, at the macro level, it is necessary to establish a comprehensive view of data assets and promote the overall layout of data asset management; at the meso level, the process management of data assets should be strengthened based on policies and schemes; at the micro level, the comprehensive application of technology, multiple partners, capabilities, and other elements should be used. Related Articles | Metrics | Comments（0）

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A Review of Secondary Analysis in Information Management and Information Systems Research in China: Research Methods,Topics, and Theory Applications Chen Liping　Ren Fei Journal of Information Resources Management    2023, 13 (3): 61-78.   DOI: 10.13365/j.jirm.2023.03.061 Abstract （1070）      PDF（pc） （1792KB）（3989）       Knowledge map    Save This study conducts a content analysis of 282 Chinese research papers published from 2012 to 2022 that use secondary analysis in the area of information management and information systems (IM&IS), aiming to reveal the distribution and trend of research methods, topics, and theory applications. The results show that the advantages of secondary analysis in data acquisition and causality identification are increasingly prominent, as reflected in the gradual diversity of data sources, rigorous empirical analysis on causality testing, richer mechanism analyses, and the emergence of mixed-method research. Four research topic trends have been identified, including macro digital development, enterprise digital transformation, information interaction between enterprise and market, and user online behavior. However, IM&IS theory development and the application of Chinese theories require further improvement. This study is novel in that it combines bibliometric analysis with machine learning methods (LDA and DTM) to reveal a multi-dimensional overview of the secondary analysis in IM&IS in China. The findings provide evidence and guidelines for further strengthening research norms, grasping research topic trends, developing and applying theories, as well as suggestions for disciplinary development and strategic research planning. Related Articles | Metrics | Comments（0）

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Identifying Technology Opportunities from High-Value Patents in Universities: The Case of Generative Artificial Intelligence Ran Congjing　Li Wang　Huang Wenjun Journal of Information Resources Management    2024, 14 (4): 103-116.   DOI: 10.13365/j.jirm.2024.04.103 Abstract （485）      PDF（pc） （2703KB）（3728）       Knowledge map    Save This study proposes a method for identifying technological opportunities of high-value patents in colleges and universities, using theme modeling, mutation level method, machine learning and outlier detection algorithms to further identify technological themes and patented technologies with potential technological opportunities on the basis of evaluating high-value patents in colleges and universities. Taking the field of "Generative Artificial Intelligence" as an example for empirical evidence, the results show that the potential technology themes in the field of "Generative Artificial Intelligence" are centered on cutting-edge areas such as deep learning, neural networks and machine learning, and AI imaging and AI diagnosis and treatment are potential technological opportunities in this field, and the above technologies are vigorously supported by relevant national policies. This method can break through the core problems such as poor targeting of the identification results of a single technology opportunity identification method, low value of the identified patents, and a single form of the identification results, and the relevant identification results can provide decision-making support for the technology transfer, technology research and development, and technological innovation of universities. Related Articles | Metrics | Comments（0）

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Research on Large Language Model Evaluation for the Generation Task of Natural Language Processing in Classical Chinese Zhu Danhao　Zhao Zhixiao　Zhang Yiping　Sun GuangYao　Liu Chang　Hu Die　Wang Dongbo Journal of Information Resources Management    2024, 14 (5): 45-58.   DOI: 10.13365/j.jirm.2024.05.045 Abstract （738）      PDF（pc） （3124KB）（3536）       Knowledge map    Save The rapid development of large language models (LLMs) presents both opportunities and challenges for their evaluation. While evaluation systems for general-domain LLMs are becoming more refined, assessments in specialized fields remain in the early stages. This study evaluates LLMs in the domain of classical Chinese, designing a series of tasks based on two key dimensions: language and knowledge. Thirteen leading general-domain LLMs were selected for evaluation using major benchmarks. The results show that ERNIE-Bot excels in domain-specific knowledge, while GPT-4 demonstrates the strongest language capabilities. Among open-source models, the ChatGLM series exhibits the best overall performance. By developing tailored evaluation tasks and datasets, this study provides a set of standards for evaluating LLMs in the classical Chinese domain, offering valuable reference points for future assessments. The findings also provide a foundation for selecting base models in future domain-specific LLM training. Related Articles | Metrics | Comments（0）

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The Framework, Implementation Path, and Challenges on Information Management of Supply Chain Empowered by Blockchain from the Perspective of Complex Sociotechnical Systems Zou Liuxin　Wu Jiang　Xia Mengchen Journal of Information Resources Management    2023, 13 (1): 91-102.   DOI: 10.13365/j.jirm.2023.01.091 Abstract （1063）      PDF（pc） （6056KB）（3393）       Knowledge map    Save The combination of blockchain technology and supply chain information management is a trend in the development of digital supply chains, which attracts wide attention from many fields. This paper conducts thematic evolution analysis and clustering analysis on the scientific literature of blockchain-based supply chain information management in Web of Science. It proposes a research framework and analyzes the supply chain information management empowered by digital intelligence through blockchain technology from the perspective of complex sociotechnical systems. Through knowledge sharing, information traceability, and trust establishment, blockchain technology interlaces and verifies material circulation, commercial circulation, information circulation, capital circulation, and information at all levels of the technical system. Information management empowers the security and visualization of logistics, the transparency and traceability of commercial circulation, the sharing and immutability of information circulation, and the credibility and anonymity of capital circulation. Finally, this paper analyzes the supply chain information management practices based on blockchain technology from the management challenge and the application industry, and prospects for future research directions. It explores the transformation of information management enabled by blockchain technology from the level of technical and social systems, where thinking about information management from the perspective of complex sociotechnical systems inspires the development and digital construction of supply chains. Related Articles | Metrics | Comments（0）

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Data and Algorithm Security Governance in the United States: Approaches, Characteristics and Enlightenments Ma Haiqun　Cai Qingping　Cui Wenbo　Zhang Tao Journal of Information Resources Management    2023, 13 (1): 52-64.   DOI: 10.13365/j.jirm.2023.01.052 Abstract （1395）      PDF（pc） （1298KB）（3241）       Knowledge map    Save The new technological revolution and industrial transformation will reshape the global economy.Data and algorithms become an important driver of the new technological revolution, which also gives rise to a series of security risks. The United States has long attached great importance to data and algorithm security governance, and the study of data and algorithm security governance characteristics in the United States can play an important role in establishing and improving data and algorithm security governance mechanisms and systems in China. Starting from two dimensions of federal government, state and local government governance systems and institutions, it systematically sorts out the systems and institutional powers and responsibilities related to data and algorithm security in the United States, in order to realize the governance approach of data and algorithm security in the United States, and summarize its governance characteristics from two aspects of governance system and governance institution. Finally, four recommendations are made in the light of the current situation of governance in China: to build a "sub-field, refined, multi-level" personal privacy data security regulatory system; to build a "hardlaw for coordination" data and algorithm security governance mechanism; to establish an AI ethics code with " International discourse power"; to establish a "hierarchical, multi-party governancing" collaborative governance institution. Related Articles | Metrics | Comments（0）

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Online Brand Community Users’ Interaction Behavior Transformation Mechanism for Value Co-creation：Based on Grounded Theory Le Chengyi　Zhu Xinya Journal of Information Resources Management    2023, 13 (3): 124-139.   DOI: 10.13365/j.jirm.2023.03.124 Abstract （995）      PDF（pc） （2271KB）（3234）       Knowledge map    Save Companies use online brand communities to facilitate user interaction behaviors as a major path to value co-creation. Through in-depth interviews with 19 active community members, data were collected and programmatically coded using a grounded theory approach to construct a theoretical model of the transformation process and drivers of user interaction behavior. According to the extent of user participation in value co-creation in the community, user interaction behavior can be classified as human-machine interaction, human-human interaction and human-enterprise interaction. The transition from human-machine interaction to human-human interaction is mainly influenced by information quality, social experience and self-realization, while the transition from human-human interaction to human-enterprise interaction is mainly influenced by community incentive, social enhancement and symbiotic co-creation. And the driving factors of users’ behavioral transitions can be categorized into visceral layer, behavioral layer and reflective layer, with information quality and community incentives in the visceral layer playing a greater role in the early stages of each behavioral transition, while self-realization and symbiotic co-creation in the reflective layer having the most effective and longest driving role. The results provide a theoretical reference for an indepth understanding of the transformation mechanism of user interaction behaviors in online brand communities, as well as suggestions for enterprises to target the promotion of user interaction behaviors and value co-creation at different stages. Related Articles | Metrics | Comments（0）

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Research on the Model of Public Data Entering the Data Element Market Fan Jiajia Journal of Information Resources Management    2024, 14 (2): 68-81.   DOI: 10.13365/j.jirm.2024.02.068 Abstract （559）      PDF（pc） （1208KB）（3186）       Knowledge map    Save Public data is an important component of the data marketplace, yet its modes of entry and participation categories have received limited attention in the current literature. This paper investigates the modes of public data participation in the data element market, both domestically and internationally, through sorting and comparative analysis. We identified two main categories and five modes for public data to enter the data element market, including: 1) the primary market (authorized operation) + secondary market (trading in the data exchange) mode, 2) the public data development and utilization + trading outside the data exchange mode, 3) the construction of a public data circulation market mode based on data platforms, 4) the trading mode using data brokers and data intermediaries, and 5) the participation in the data market mode through (public) data trusts. Building upon this categorization, the paper proposes an ideal mode for public data entry into the data element market, outlined in three phases: data acquisition, data product production, and data product trading. This paper offers insights for strategic selection regarding the entry of public data into the data element market in China. Related Articles | Metrics | Comments（0）

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Influencing Factors of Online Health Information Searching Behavior Based on DEMATEL-ISM：From a Meta-analysis of Empirical Studies at Home and Abroad Zhao Wenjun　Meng Kai　Ma Jinhui　Ni Zhifei Journal of Information Resources Management    2023, 13 (2): 53-66.   DOI: 10.13365/j.jirm.2023.02.053 Abstract （893）      PDF（pc） （3687KB）（3164）       Knowledge map    Save Systematic analysis of the influencing factors of online health information search behavior and its hierarchical logical relationship, this paper provided theoretical guidance for deepening academic research on online health information search behavior and optimizing online health information services. To synthesize and analyze the empirical studies on the influencing factors of online health information-seeking behavior at home and abroad based on the meta-analysis method, the overall effect of these influencing factors on online health information-seeking behavior and their significance were assessed, and 16 influencing factors of online health information-seeking behavior were extracted accordingly. Then DEMATEL-ISM was introduced to analyze the hierarchical logical structure and action path among the influencing factors. The results showed that health anxiety, health literacy, self-efficacy, health status, trust, and income were located at the top of the hierarchical model and directly influenced users’online health information-seeking behavior, categorized as neighborhood influencing factors. Nine influencing factors, such as perceived risk, perceived value, social support, and information quality, were located in the progressive hierarchy model’s middle level and categorized as transitional influencing factors. Internet access was located at the bottom of the recursive hierarchy model, and was classified as a fundamental influencing factor. Related Articles | Metrics | Comments（0）

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Intelligent and Smart Service of Multi-model Cultural Heritage Resources: From Available to Evidential and Experiential Xia Cuijuan Journal of Information Resources Management    2023, 13 (5): 44-55.   DOI: 10.13365/j.jirm.2023.05.044 Abstract （852）      PDF（pc） （2030KB）（3106）       Knowledge map    Save The development of data and intelligence technologies is promoting the transformation from "digital GLAMs" to "smart GLAMs". In the transformation from digitalization to datafication and then to intelligence, the cultural heritage resources of GLAMs show the multi-model characteristics of multimedia, multi-format and multi-granularity. Aiming at the problem of how GLAMs provide intelligent services based on multmodel cultural heritage resources, this paper summarizes the transformation path of cultural heritage resources from digital, data to intelligent services based on case analysis and literature research. According to the low to high degree of resource intelligence, inteligent services can be summarized into three modes: available, evidential and experiential, which correspond to three different demand scenarios: resource-centered services, digital intelligence evidence-based services, and interactive experience-centered services. It is concluded that the intelligent services of multi-model cultural heritage resources are to predict in advance and automatically adapting to users' needs for different modes of cultural heritage resources in different demand scenarios. Related Articles | Metrics | Comments（0）

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Trends and Future Prospects in Sentiment Analysis of Financial Reviews Texts Wu Jiang　Duan Yiqi Journal of Information Resources Management    2025, 15 (1): 86-101.   DOI: 10.13365/j.jirm.2025.01.086 Abstract （887）      PDF（pc） （5622KB）（3005）       Knowledge map    Save This study surveys recent advancements in sentiment analysis of financial review texts, both domestically and internationally, to delineate the field’s developmental trajectory. Adopting dual perspectives of technology-driven and content-driven approaches, it scrutinizes prevailing research trends. Technologically, the evolution from lexicon-based methods, through traditional machine learning, to deep learning paradigms is summarized. Content-wise, BERTopic and LLaMA3 are employed for document clustering based on scholarly viewpoints, with dynamic topic modeling elucidating domain progress. Findings indicate a domestic transition from sentiment analysis methods to investigations of emotional impacts on financial market prediction. Meanwhile, international research continues progressing deep learning applications while revealing emerging interests in financial sentiment modeling. By integrating these observations, the paper proposes future directions including: (1)constructing high-quality datasets, (2)conducting granular sentiment analysis of financial discourse, and (3)improving the interpretability of analytical outcomes. These recommendations aim to establish methodological foundations for subsequent studies in this field. Related Articles | Metrics | Comments（0）

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Construction of Chinese Classical-Modern Translation Model Based on Pre-trained Language Model Wu Mengcheng　Liu Chang　Meng Kai　Wang Dongbo Journal of Information Resources Management    2024, 14 (6): 143-155.   DOI: 10.13365/j.jirm.2024.06.143 Abstract （387）      PDF（pc） （1784KB）（2933）       Knowledge map    Save This study aims to construct and validate a Chinese ancient-modern translation model based on pre-trained language models, providing strong technical support for the research of ancient Chinese and the inheritance and dissemination of cultural heritage. The study selected a total of 300,000 pairs of meticulously processed parallel corpora from the "Twenty-Four Histories" as the experimental dataset and developed a new translation model—Siku-Trans. This model innovatively combines Siku-RoBERTa(as the encoder) and Siku-GPT(as the decoder), designed specifically for translating ancient Chinese, to build an efficient encoder-decoder architecture. To comprehensively evaluate the performance of the Siku-Trans model, the study introduced three models as control groups: OpenNMT, SikuGPT, and SikuBERT_UNILM. Through comparative analysis of the performance of each model in ancient Chinese translation tasks, we found that Siku-Trans exhibits significant advantages in terms of translation accuracy and fluency. These results not only highlight the effectiveness of combining Siku-RoBERTa with Siku-GPT as a training strategy but also provide important references and insights for in-depth research and practical applications in the field of ancient Chinese translation. Related Articles | Metrics | Comments（0）

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The Effect of Online Doctor-patient Interaction on Compliance of Patients with Chronic Diseases: From the Perspective of Patient Characteristics and Satisfaction Wang Siqi　Lu Qinyan　Xu Xinxiang　Qin Ziru　Zhang Xiaofei Journal of Information Resources Management    2022, 12 (6): 70-83.   DOI: 10.13365/j.jirm.2022.06.070 Abstract （963）      PDF（pc） （1103KB）（2724）       Knowledge map    Save Using online health communities to manage the health conditions of patients with chronic diseases is an important approach to relieving the shortage of medical resources and improving the health outcome of such patients in the new era. However, there are inconsistent findings in the current literature about the impact of this model on patient compliance. This paper constructs a decision model on the effect of patient-doctor interaction on the compliance of patients with chronic disease based on an online health community, taking diabetic patients on a well-known online health community in China as the research object and combining the characteristics of chronic disease patients (demand levels and complications). It explores the decision-making process of people with chronic diseases from a social support theory perspective with a view to explaining the inconsistent findings in the literature. The research results show that informational support and emotional support provided by doctors in the online health community will positively affect the satisfaction of patients with chronic diseases, so as to improve their compliance through satisfaction as a mediator variable; the demand level of patients with chronic diseases has a positive moderating effect on the relationship between emotional support and satisfaction, complications have a negative moderating effect on the relationship between satisfaction and compliance. This study enriches the research on the influencing factors and conduction paths of chronic disease patients’ compliance in the online health community, and puts forward relevant practical suggestions for the online health platform to better serve chronic disease patients. Related Articles | Metrics | Comments（0）

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The Development Pattern, Dilemmas, and Countermeasures of Government-Led Data Trading Platforms：An Analysis Based on Classical Grounded Theory Hua Meifang　Zhang Yong Journal of Information Resources Management    2025, 15 (2): 73-90.   DOI: 10.13365/j.jirm.2025.02.073 Abstract （226）      PDF（pc） （3045KB）（2690）       Knowledge map    Save Government-led data trading platforms are spearheading the robust development of China's data factor market. This study focuses on five bench mark platforms, employing the classical grounded theory framework to analyze their development patterns and challenges. The findings reveal that their developmental models can be summarized into five key elements: policy guidance, developmental strategies, standardization construction, platform services, and the cultivation of a digital business ecosystem. However, these platforms face several challenges, including a lack of core competitiveness, insufficient interconnectivity, pronounced data silos, and limited transaction scales. To address these challenges, platforms need to expand their market influence through differentiated positioning, joint construction of a standardized interconnected ecosystem, collaborative development of digital business alliances, and active expansion of bilateral user groups. Meanwhile, the National Data Administration should undertake overall planning for platform deplayment, strengthen integrated security supervision, and establish a robust safety framework to ensure the healthy development of the market. Related Articles | Metrics | Comments（0）

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Exploring the Generation Mechanism of Affective Responses of User Danmaku Commenting Behavior in Reaction Videos Ye Xujie　Zhao Yuxiang　Zhang Yan　Li Jinhao　Preben Hansen Journal of Information Resources Management    2024, 14 (2): 104-120.   DOI: 10.13365/j.jirm.2024.02.104 Abstract （729）      PDF（pc） （3042KB）（2592）       Knowledge map    Save Investigating the generation mechanism of affective response of danmaku commenting behavior in reaction videos can provide valuable insights into the reasons for affective generations and the process of affective change. This paper takes reaction videos of the Bilibili video website as examples. We conduct coding using the directed content analysis method by selecting the danmaku resources, video content, and reactor responses of 11 popular videos in different camps as samples. Based on the Affective Response Model (ARM), this paper builds a theoretical framework of the generation mechanism of affective responses of user danmaku commenting behavior in reaction videos. The results suggest that affective responses of user danmaku commenting behavior in reaction videos generally follows the path of "information cues-affective response", that is, information cues can arouse emotions or particular affective responses autonomously, and they can also affect the generation of emotions or learned affective responses by arousing particular affective responses. The proposed framework helps to improve the contextualized exploration of ARM theory in computer-mediated communication and will also provide practical implications for optimizing user-information interaction in social media. Related Articles | Metrics | Comments（0）

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The Construction of Cultural Heritage Smart Data for the Inheritance and Activation Wang Xiaoguang　Hou Xilong Journal of Information Resources Management    2023, 13 (5): 5-14，43.   DOI: 10.13365/j.jirm.2023.05.005 Abstract （776）      PDF（pc） （2842KB）（2519）       Knowledge map    Save Smart data is becoming a new development trend of information resource construction in the age of data and intelligence. It is an advanced form of data resources organization and more suitable for the new demands and requirements on the data and service in the new environment. Firstly, this article systematically reviews the historical evolution and development trend of smart data, and analyzes the scientific meaning and critical features of smart data. Secondly, facing the problems of cultural heritage inheritance and activation, this article explains the internal logic of smart data empowering cultural heritage activation. Finally, the article puts forward the construction measures and path of cultural heritage smart data, including the construction mechanism, smart data standards and specifications, cultural gene deconstruction, quality control system. The research of smart data not only improves the quality and efficiency of big data resources, but also contributes to the theoretical reform of information resources management and knowledge management in the empowerment of data and intelligence. The construction of cultural heritage smart data resources will effectively promote the process of cultural heritage protection, inheritance and activation. Related Articles | Metrics | Comments（0）

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The Developing Directions of Information Resources Management Discipline in the Era of Artificial General Intelligence Yan Hui Journal of Information Resources Management    2024, 14 (2): 21-28,53.   DOI: 10.13365/j.jirm.2024.02.021 Abstract （788）      PDF（pc） （765KB）（2506）       Knowledge map    Save This paper reviews the seventy-year developing history of Artificial Intelligence and Artificial General Intelligence(AGI), reflects on the fifty-year history of information resources management, analyzes the profound and multifaceted impacts of AGI on the knowledge system, education system, and career system of information resources management, and proposes three suggestions for the developing direction of information resources management discipline in the AGI era. Related Articles | Metrics | Comments（0）

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The "CNKI Event" has Alerted and Reflected on the Literature Database Industry in China Zeng Jianxun Journal of Information Resources Management    2022, 12 (6): 11-17.   DOI: 10.13365/j.jirm.2022.06.011 Abstract （926）      PDF（pc） （696KB）（2490）       Knowledge map    Save After Professor Zhao Dexin won the lawsuit against CNKI, the Chinese Academy of Sciences stopped using the CNKI database due to the renewal fee of 10 million yuan, which once again brought CNKI into the center of public opinion. CNKI has repeatedly fallen into the whirlpool of public opinion such as "infringement" and "high pricing", which reflects the digital governance dilemma faced by the development of literature database in China under the new situation, and needs to arouse the alarm and reflection of the literature database industry in China. According to the situation of database in China, copyright mode, exclusive license mode, pricing mechanism, version of the fee standards, product model, learning mechanism, openness, bargaining power and social attribute of domestic and foreign database, which are related to the author, journal, the literature database platform and the reader, are discussed. This paper probes into the internal causes of the difficulties in the development of the literature database industry in China and gives a deep consideration to the development path of the business model of the literature database in China. Related Articles | Metrics | Comments（0）

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A Multinational Comparative Study of Regulatory Policies for Generative AI from the Perspective of “Tools-Structure” Deng Shengli　Ding Weiwei　Wang Fan　Wang Haowei Journal of Information Resources Management    2025, 15 (1): 54-68.   DOI: 10.13365/j.jirm.2025.01.054 Abstract （698）      PDF（pc） （4448KB）（2448）       Knowledge map    Save Based on the dual perspective of policy tools and structural characteristics, this study takes the regulatory policies of generative AI in different countries as the research object, aiming to explore the structural characteristics and internal connections of the policy elements of generative AI, in order to promote the healthy development of generative AI. A total of 14 effective policy texts were collected, and 327 relevant text units were coded and interpreted using bibliometrics, content analysis, and BERTopic. The structural characteristics were analyzed from three dimensions: policy issuance time, policy issuance subject, and policy theme characteristics. The role paths were discussed by dividing into three types of policy tools: environmental, demand-driven, and supply-driven. The findings show that the regulation of generative AI is still in its infancy, and there are significant differences in the overall characteristics of policies among different countries, with significant differences in the regulatory level. Overall, the role path of policy tools is mainly dominated by the indirect role of environmental policy tools, showing a structural imbalance and bias in the role path. Further comparison of the similarities and differences in regulatory policies among different countries is conducted, and corresponding countermeasures and suggestions are put forward to optimize the policy tool structure, balance the role path of policy tools, assessing the effectiveness of policy implementation, and promote the coordinated development of the generative AI regulatory system. Related Articles | Metrics | Comments（0）

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A Study on the Correlation Factors of Psychological Resilience and Impact on AIGC Users’ Dropout Behavior Based on ISM-MICMAC Xie Jing　Zhang Hai　Shi Qin Journal of Information Resources Management    2025, 15 (1): 126-138.   DOI: 10.13365/j.jirm.2025.01.126 Abstract （411）      PDF（pc） （2456KB）（2380）       Knowledge map    Save In order to clarify the influencing factors of user dropout behavior in the context of AIGC, improve the user experience and willingness to continue using AIGC, and promote the high-quality development of domestic AIGC application platforms, this study drew on the grounded theory research paradigm and extracted causal factors of AIGC user dropout behavior through coding analysis of interview sample data. Based on the interpretative structural model, the intrinsic logic and correlation paths of causal factors of AIGC user dropout behavior were explored. Furthermore, the dependencies and driving forces between individual factors were studied using the cross-impact matrix multiplication method in order to identify the key factors influencing the dropout behavior of AIGC users.The research results show that psychological resilience, technological factors, perceived risk factors，and environmental factors are important factors affecting the dropout behavior of AIGC users. At the same time, it was found that psychological resilience can effectively alleviate the negative factors such as technological burden, technological risk, and information overload, and has important theoretical and practical significance for improving the sustained use behavior of AIGC users. At last, effective measures and suggestions have been proposed to resolve the dropout behavior of AIGC users and promote their continued use. Related Articles | Metrics | Comments（0）