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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 （1984）      PDF（pc） （985KB）（5238）       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 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 （1825）      PDF（pc） （1976KB）（5444）       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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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 （1607）      PDF（pc） （4159KB）（21976）       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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An Empirical Study on the Influence Model of Social Media Users’ Disinformation Verification Behavior Mo Zuying　 Liu Huan　 Pan Daqing Journal of Information Resources Management    2023, 13 (4): 72-83.   DOI: 10.13365/j.jirm.2023.04.072 Abstract （1453）      PDF（pc） （1561KB）（2678）       Knowledge map    Save This paper examines the factors and paths that affect users' information verification behavior, in order to help users avoid disinformation on the internet and achieve self-purification of cyberspace. Based on the elaboration likelihood model(ELM), this paper uses questionnaire and structural equation model to develop the influence model of social media users’ disinformation verification behavior and conducts an empirical study on the factors that affecting users’ information verification behavior. The result shows that information simulation, information topic popularity and platform trust are the key factors on users’ affective reactions, while information relevance, information topic popularity, and media richness are the key factors on users’ perception of risk. The users’ attitudes, which include emotion and cognition are the primary determinants of users’ information verification behavior. This study can provide references for the management of social media platforms and the prevention of users’ spreading disinformation. 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 （1384）      PDF（pc） （5622KB）（4725）       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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An Exploration of the Data Assetization Paths for the Three Major Types of Data Ma Feicheng　Sun Yujiao　Xiong Siyue　Wang Wenhui Journal of Information Resources Management    2024, 14 (5): 4-13.   DOI: 10.13365/j.jirm.2024.05.004 Abstract （1306）      PDF（pc） （6613KB）（1999）       Knowledge map    Save Data assetization is a key stage in grasping digital opportunities, realizing the value of data, and promoting the digital transformation of the economy and society. This paper argues that public data, enterprise data and personal data are the major subjects of data elements. However, current research on the realization path of data assetization for the three major types of data is insufficient, hindering the release of the value of data elements. In this paper, we systematically review the relevant concepts of data assets, and delve into the path of data assetization from the three major data subjects: public, enterprise and individual. The results shown that public data can serve internal government needs or be supplied to the society, generating social benefits or economic benefits through sharing and opening, and authorized operation, thus forming public data assets. Enterprises, depending on whether they hold data ownership, can carry out different degrees of processing and handling of data, so as to complete the deep excavation of data value and redistribution of data benefits, forming inventory, intangible assets and other types of data assets. The practice related to personal data assetization is limited, mainly relying on two paths: direct transaction between suppliers and demanders or entrusted transaction by data intermediaries to complete market circulation and form personal data assets. Through in-depth exploration of this topic, this study aims to provide theoretical guidance and practical reference for the value realization of data elements and the effective allocation of data resources. Related Articles | Metrics | Comments（0）

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Impact of Data Classified and Graded Rights Confirmation on the Realization of the Value of Data Elements Ma Feicheng　Xiong Siyue　Sun Yujiao　Wang Wenhui Journal of Information Resources Management    2024, 14 (1): 4-12.   DOI: 10.13365/j.jirm.2024.01.004 Abstract （1288）      PDF（pc） （1559KB）（2057）       Knowledge map    Save Data rights confirmation is essential for realizing the value of data elements and sustaining the normal operation and continuous development of data elements market. This study delves into concepts related to data rights confirmation and explores the path of how to establish a property right system to realize data rights confirmation. Furthermore, this study shows methods for the data classified and graded rights confirmation, analyzing their impact across the data value chain. Results show that in the data collection stage, the data classified and graded rights confirmation mechanism can motivate data supply, improve data quality, and stimulate market vitality. In the data organization stage, it can break down technical work, protect private data, and explore potential value. In the data circulation stage, it can regulate negative externalities, reduce transaction costs, and optimize the allocation of resources. And in the data utilization stage, it plays a key role in data compliance regulation and data value redevelopment. Related Articles | Metrics | Comments（0）

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Identification, Evolution, and Prospects of Global Information Literacy Education Research Themes in 1974—2024 Huang Ruhua　Wu Yingqiang　Shi Leyi Journal of Information Resources Management    2025, 15 (4): 4-22.   DOI: 10.13365/j.jirm.2025.04.004 Abstract （1274）      PDF（pc） （5120KB）（254）       Knowledge map    Save The year 2024 marks the 50th anniversary of the introduction of the term information literacy on a global scale. This study applies the BERTopic topic modeling method to identify 44 major research topics in global information literacy education over the past five decades. These topics are categorized into five thematic clusters: (1) pedagogical practices in information literacy education, (2) information literacy education driven by digital and intelligent technologies, (3) information literacy education targeting specific populations, (4) disciplinary applications of information literacy education, and (5) social and ethical issues in information literacy education. Five key topics are highlighted: librarian-faculty collaboration in higher education, nurses’ information literacy, health information literacy, teachers’ ICT competence and skill development, and information literacy in the context of artificial intelligence. By tracking topic-specific keywords, this study outlines five stages in the evolution of research: the conceptual dissemination stage, the technological impact stage, the connotation expansion stage, the convergence of multiple literacies stage, and the stage influenced by major societal events. Over the past 50 years, three prominent characteristics have shaped the development of global information literacy education research: (1) consistent focus on higher education and academic libraries across all stages; (2) a distinct phase-based impact of technology on information literacy education; and (3) the influence of changing educational environments on the content and form of information literacy instruction. Finally, six future directions are proposed for global research and practice in information literacy education: strengthening theoretical study of information literacy education, emphasizing the development of standards and assessment systems, diversifying the contexts for information use, enhancing the roles of both the academic library community and the information industry, fostering nationwide collaboration, and boosting China’s international influence in the field. Related Articles | Metrics | Comments（0）

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Research on the Motivation of Social Media Information Deletion：Take WeChat Moments as an Example Yu Mengli　Shen Wenhan　Zheng Bowen Journal of Information Resources Management    2023, 13 (4): 84-95,121.   DOI: 10.13365/j.jirm.2023.04.084 Abstract （1254）      PDF（pc） （2531KB）（2522）       Knowledge map    Save As the amount of user-generated content grows, an increasing number of users start to delete previous posts. Information deletion in social media is not only a personal information management behavior for social media users but also has an impact on the development of social platforms content resources. Based on self-awareness theory and the perspectives of defense acquisition information management, this study investigates the motivations behind the deletion behavior of WeChat users' moments. The results of Structural Equation Modeling demonstrate that information security, field environment, and content value of defensive management have a significantly positive influence on information deletion behavior, and that the level of self-disclosure plays a mediating role in the relationships between information security, information value, and social media information deletion behavior. The research contributes to a comprehensive understanding of social media users' usage paradigm and provides decision support for the utilization of social media data and economic development of platforms. Related Articles | Metrics | Comments（0）

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Research on New Quality Productive Forces Driving High-Quality Development of Digital Economy Ma Feicheng　Sun Yujiao　Xiong Siyue Journal of Information Resources Management    2025, 15 (1): 4-12.   DOI: 10.13365/j.jirm.2025.01.004 Abstract （1229）      PDF（pc） （1353KB）（1002）       Knowledge map    Save New quality productive forces, emerging from a new wave of scientific and technological revolution and industrial transformation, align with China's domestic strategic blueprint and the practical needs arising from international competitive dynamics. With digital economy becoming a pivotal force in global economic and social transformation, promoting its high-quality development has become a strategic imperative for China's economic development in the new era. This research investigates how new quality productive forces drive the high-quality development of digital economy, which holds significant implications for advancing productivity theory, understanding digital era development patterns, and facilitating economic transformation. The study first explored the evolutionary context of new quality productive forces, systematically examined its theoretical underpinnings from three dimensions of "newness," dual implications of "quality," and intrinsic characteristics of "productive forces," and analyzed its practical features. Building upon this foundation, the research revealed from a theoretical perspective how new quality productive forces drive the high-quality development of digital economy, identifying three inherent mechanisms: new technology stimulated new growth drivers, new elements reshaped production relations, and new industries reconstructed competitive landscape. Finally, the research proposed five implementation paths: improving institutional supply, strengthening talent cultivation, unleashing element value, promoting coordinated regional development, and deepening opening up. This study aims to provide theoretical guidance and practical insights for promoting the high-quality development of digital economy. Related Articles | Metrics | Comments（0）

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Deepfake Information in AIGC: Generation Mechanisms and Governance Strategies: An Analytical Framework Based on Actor-Network Theory Ran Lian　Zhang Wei Journal of Information Resources Management    2025, 15 (2): 137-150.   DOI: 10.13365/j.jirm.2025.02.137 Abstract （1142）      PDF（pc） （2326KB）（1596）       Knowledge map    Save Exploring the complex logical mechanisms behind AIGC-driven deepfake information generation has significant practical value for constructing a cognitive framework for understanding deepfake information and formulating targeted governance strategies in cyberspace. Drawing on the actor-network theory, this study constructs a theoretical framework for analyzing AIGC deepfake information generation, focusing on four aspects: problem presentation, allocation of benefits, mobilization, and exclusion of dissent. It further interprets the dynamic process of deepfake information generation in terms of network formation, alliance-building, and stabilization. The findings indicate that the continuous output of AIGC-generated deepfake information is likely to intensify adverse social effects, such as technological domination, truth decay, and moral dissolution. The production and dissemination of deepfake information involve AIGC technologies translating heterogeneous actors through interest-driven strategies, driving the deepfake interest network from formation to stabilization while engaging in a competitive dynamic with opposing organizations. Based on these findings, this study proposes targeted governance strategies for AIGC deepfake information across four dimensions: moral governance, rule of law, technological governance, and crowd-based governance. Related Articles | Metrics | Comments（0）

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The Path and Empirical Study of Intelligence Support for Emergencies by Fusing Eventic Graph and Network Opinion Analysis——Taking Hazardous Chemical Accidents as an Example Zhang Shiying　Li Yang Journal of Information Resources Management    2023, 13 (4): 60-71.   DOI: 10.13365/j.jirm.2023.04.060 Abstract （1125）      PDF（pc） （4153KB）（2968）       Knowledge map    Save Existing emergency intelligence support has some deficiencies, such as static knowledge, fuzzy reasoning, and spatial homogeneity. The paper proposes a path of emergency intelligence support that integrates eventic graph and network opinion analysis, aiming to improve the situational awareness and predictive response capability of emergencies in complex situations, and support emergency intelligence paradigm innovation in the era of digital intelligence empowerment. The paper constructs a framework for emergency intelligence support from the integrated perspective of reasoning and knowledge fusion, business and network fusion, and carries out empirical research using hazardous chemical accidents as an illustration. The work includes building a database of relevant emergencies, portraying the development logic of emergencies using an eventic graph, and describing the impact of emergencies in cyberspace using online opinion analysis techniques. This provides intelligence support for emergency management and decision making for new emergencies. The intelligence support path proposed in this paper can take into account the characteristics of multi-source spatial data as well as the integration of event logic and knowledge, allowing for a more systematic "past-future" intelligence prediction of emergencies. The empirical study and validation of hazardous chemical accidents also show good knowledge presentation and intelligence reasoning. 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 （1117）      PDF（pc） （4448KB）（3363）       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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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 （1095）      PDF（pc） （3042KB）（3928）       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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Exploring the Antecedents of Health Information Credibility at Social Media Platforms: The Moderating Role of Prior Knowledge Wang Xiaopan　Zhang Miao　Wu Yi　Zhang Xiaofei Journal of Information Resources Management    2024, 14 (1): 55-67.   DOI: 10.13365/j.jirm.2024.01.055 Abstract （1082）      PDF（pc） （4210KB）（2113）       Knowledge map    Save Based on the elaboration likelihood model, the current study takes fact-checking interruption as the research object, and explores the impact of two fact-checking mechanisms, source rating and content rating, on users' perceived information credibility and subsequent information participation behavior. The moderating effect of prior knowledge is also investigated. Through an online scenario-based experiment involving 202 subjects, the present study found that both source and content rating mechanisms positively affect perceived credibility. Subsequently, perceived credibility has a positive impact on reading, liking, posting supportive comments and forwarding information, but has had no significant impact on posting rebutted comments. Prior knowledge has a negative moderating effect on the relationship between content rating and perceived credibility, but has no significant moderating effect on the relationship between source rating and perceived credibility. The present study enriches the literature and theories related to the credibility of health information in social media and offers managerial insights for the development of a social media information intervention mechanism. Related Articles | Metrics | Comments（0）

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Seeking and Breaking Through: ChatGPT Illuminating the Way Ahead for the Discipline of Information Resource Management Liu Qiong　Liu Guifeng　Lu Zhangping　Han Muzhe　Guo Keyuan Journal of Information Resources Management    2023, 13 (5): 73-78.   DOI: 10.13365/j.jirm.2023.05.073 Abstract （1077）      PDF（pc） （647KB）（1227）       Knowledge map    Save The application of ChatGPT, an artificial intelligence chatbot developed by the American Artificial Intelligence Laboratory OpenAI, has changed the pattern of information retrieval, making information interaction more intelligent and knowledge acquisition more accurate, and artificial intelligence has moved from professional fields to general fields. The discipline connotation, framework, personnel training and main application fields of the Discipline of Information Resource Management have also changed. This discipline should keep up with the trend, seize the opportunity, take the initiative to layout, expand the scope of business, reconstruct the ecological system of the discipline, establish multi-sector social collaboration, and cover the new format of information as much as possible in order to realize the leap-forward development. 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 （1067）      PDF（pc） （2030KB）（3318）       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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Generation AI in Human-AI Interaction: Origins, Characteristics and Future Prospects Xu Hao　Cheng Qingxuan　Dong Jing　Wu Dan　Tian Li Journal of Information Resources Management    2025, 15 (1): 13-20.   DOI: 10.13365/j.jirm.2025.01.013 Abstract （1027）      PDF（pc） （2333KB）（3456）       Knowledge map    Save The rapid development of artificial intelligence is driving society toward a new era of human-AI interaction (HAII) and reshaping a new generation of minors growing up with AI—Generation AI. This paper reviews the origins and evolution of human-computer interaction (HCI), examining the shift from HCI to HAII, and focuses on the unique traits of Generation AI in this context. By analyzing the interaction modes and characteristics of Generation AI, the study reveals their distinctive attributes in HAII scenarios, including intelligent perception, social contention, and digital embedding across all settings, timeframes, and environments. Finally, the paper envisions the future of human-AI synergy for Generation AI from three perspectives: human-centered design, multimodal interaction, and augmented collaboration, providing a theoretical foundation for building a smart and human-centered society. 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 （1027）      PDF（pc） （765KB）（3143）       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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Research and Design of General Knowledge Model of Ancient Books Chen Tao　Zhao Xiaofei　Yang Xin　Lin Lixin Journal of Information Resources Management    2025, 15 (1): 139-153.   DOI: 10.13365/j.jirm.2025.01.13 Abstract （1012）      PDF（pc） （8021KB）（223）       Knowledge map    Save China boasts a vast collection of ancient books. While the traditional organization and management mode of ancient books has facilitated the transformation of ancient book resources from "collection" to "use", the "raw resources" are increasingly unable to meet the needs of ancient book utilization in the digital era. This paper investigates and analyzes the reusable ontology model for ancient book knowledge organization, reviews the perspectives and approaches to knowledge modeling of ancient books, and proposes a five-layer framework for a general knowledge model of ancient books based on the two dimensions of form and content characteristics. To verify the usability of the model, this paper takes the "Hu Zi Book" of the Yongle Encyclopedia as an example, constructs an associated dataset, explores the knowledge graph of ancient books by integrating associated data, and realizes the combination of knowledge association and data aggregation.This paper constructs a general knowledge organization model for ancient books, providing an alternative approach for the association and aggregation, inference and calculation, dissemination and sharing, and intelligent application of ancient book knowledge. Related Articles | Metrics | Comments（0）

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Two Modes and Ecological System Construction of Data Element Market Circulation in China Zhang Huiping　Zhao Qin　Ma Taiping　Zhang Yaoyao　Zhang Jingran Journal of Information Resources Management    2023, 13 (6): 29-42.   DOI: 10.13365/j.jirm.2023.06.029 Abstract （1006）      PDF（pc） （2368KB）（496）       Knowledge map    Save Market circulation of data elements is a key link to activate the economic and social value of all kinds of data and build a data resource system, which directly affects the effectiveness of the construction of digital China. Government data authorization operation and data trading platform are two main modes of market circulation of data elements. In this study, eight market-based circulation platforms with data elements were selected to carry out comparative analysis from six dimensions, including the composition of working capital, platform participants, platform data sources, product and service types, data rights confirmation paths and technical solution applications. Based on the analysis results and the information ecology theory, this findings show that the data element market ecosystem is composed of data products and services, data subject, data platform and data environment. The ecosystem needs the support of the cooperation mechanism of data community, the linkage mechanism of the two modes and the interaction mechanism between inner and outer circles. This study has significant implications for future development: It is necessary to enrich and innovate application scenarios to drive the integrated development of data elements, establish income distribution mechanism to crack the conflicts of interest among data subjects, and promote the safe and reliable market circulation of digital technology, so as to promote the construction of market circulation ecosystem of data elements. Related Articles | Metrics | Comments（0）

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Effects of Negative Emotions on User Intermittent Discontinuance Behavior of Social Networking Services: Empirical Evidence from a Mixed Study Gan Chunmei　Xiao Chen　Chen Shuyi　Lin Jingjing　Qiu Zhiyan Journal of Information Resources Management    2023, 13 (6): 125-132.   DOI: 10.13365/j.jirm.2023.06.125 Abstract （981）      PDF（pc） （1357KB）（1938）       Knowledge map    Save Taking WeChat as the research sample, this study explores the negative emotions emerging in the social networking services (SNS) use and their configurations effects on SNS intermittent discontinuance behavior through a mixed study. Employing interviews and content analysis, the qualitative research of Study 1 found that, a variety of negative emotions, such as fatigue, anxiety, envy, frustration, disappointment, depression, worry and anger, are generated from SNS intermittent discontinuance behavior. And these emotions play separate or interactive roles. Furthermore, using 300 online questionnaires and fuzzy set qualitative comparative analysis (fsQCA), the empirical research of Study 2 revealed that, three configurations of conditions lead to SNS intermittent discontinuance behavior, i.e., users with envy, users with fatigue, and users with both envy and fatigue. They exert different levels of configuration effects on generating SNS intermittent discontinuance behavior. This study further enriches studies on negative emotions and social media user behavior, and confirms the complexity of emotions during social media use. In addition, this study provides theoretical references for service providers to retain users and for users to use SNS rationally. 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 （977）      PDF（pc） （2842KB）（3025）       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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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 （976）      PDF（pc） （3124KB）（4213）       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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Research on Algorithm Embedding and Visibility Mechanism：A Platform Affordance Perspective Du Yan　Xie Xinzhou Journal of Information Resources Management    2024, 14 (5): 91-103.   DOI: 10.13365/j.jirm.2024.05.091 Abstract （976）      PDF（pc） （4260KB）（1530）       Knowledge map    Save Given the increasing relevance of algorithms, how to implement the main responsibility of platforms has become a focal issue. Based on the perspective of affordance theory, the study analyzes the relationship between algorithms, the platform environment, and user perception through mixed research methods to clarify the role of platforms in the process and the problems that arise. The research results show that the algorithm reshapes the platform environment through specific encoding programs, multi-objective optimization, and billions of feature vector combinations. For ordinary users, the algorithm is invisible, uneditable and inaccessible. The platform initially constructs the visibility mechanism of the algorithm through interface cues, but the effect is limited. The research, combined with the embedding logic of the algorithm, provides policy recommendations to promote user algorithmic knowledge, which has certain theoretical and practical significance. Related Articles | Metrics | Comments（0）

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Research on Multilateral Platform for Data Element Transactions: Current Status, Approaches, and Framework Wu Jiang　Yuan Yiming　He Chaocheng　Qian Long　Du Le　Miao Jiarui Journal of Information Resources Management    2024, 14 (3): 4-20.   DOI: 10.13365/j.jirm.2024.03.004 Abstract （971）      PDF（pc） （4171KB）（1743）       Knowledge map    Save In response to the national policies aiming to establish a unified and comprehensive market for the circulation and transaction of data elements, it is imperative to systematically analyze the current processes involved in the circulation and transaction of data elements. Such analysis is crucial for the construction of data element platforms and holds strategic importance in advancing the market-driven distribution of data elements and fostering the growth of the digital economy within China. Through case studies and literature reviews, this study examines the entities within the multilateral data trading market and their interrelationships. It also identifies the primary challenges within the current market and proposes breakthrough pathways and a research framework for the development of a multilateral data element trading platform. This framework is grounded in value chain theory and socio-technical system theory, aiming to serve as a guide for the construction of a market conducive to the circulation and transaction of data elements. 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 （956）      PDF（pc） （790KB）（5317）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Reflections on Construction of Information Resources in University Libraries Serving National Strategies in the Era of Open Science Huang Ruhua　Shi Leyi Journal of Information Resources Management    2024, 14 (4): 16-28.   DOI: 10.13365/j.jirm.2024.04.016 Abstract （951）      PDF（pc） （907KB）（2473）       Knowledge map    Save The arrival of the open science era has changed the information environment and scholarly communication system, and has also brought new opportunities and challenges to the construction of information resources in university libraries. Based on the national strategies of becoming a leading country in education, science and technology, talent, culture and so on, construction of information resources in Chinese university libraries urgently needs to achieve high-quality development on the basis of serving multiple national strategies. This article proposes countermeasures in four aspects, including: constructing information resources that are consistent with a holistic approach to national security, constructing information resources system needed for the digitalization of Chinese higher education, consolidating the information resource foundation for great self-reliance and strength in science and technology, and strengthening information resource support needed for construction of philosophy and social sciences with Chinese characteristics. Related Articles | Metrics | Comments（0）

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The Impact of Work Unpredictability on Work-family Conflict in a Remote Work Context——A Moderated Mediation Model Xie Xinzhou　Jin Guangyao Journal of Information Resources Management    2024, 14 (3): 136-148.   DOI: 10.13365/j.jirm.2024.03.136 Abstract （949）      PDF（pc） （1230KB）（1487）       Knowledge map    Save Remote work has become the norm in digital work practices, and the study of the negative effects associated with work and family life in the use of digital technologies is receiving increasing scholarly attention in the field of information systems. Using a theoretical model of work-home resources, this paper explores the new types of work stress perceived by employees in the process of adapting to digital technologies in a remote work context and experiencing a shift in the form and manner of work, and explains the specific paths by which this stress undermines employees' prosperity in the family sphere. The results indicate that the work unpredictability in the context of intensive use of digital technologies leads to a reduction in coping resources for employees' psychological resilience, resulting in work-family conflict. Self-esteem, on the other hand, can be effective in helping employees relieve work stress and restore personal resources. The empirical results provide new insights and implications for how telecommuting affects employees' work experiences and work-home relationships. Related Articles | Metrics | Comments（0）

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A Qualitative Study on the Impact Mechanisms of User Satisfaction of Comprehensive Government Service APPs Based on User Reviews Zhao Ying　Deng Huili　Li Guangyao　Chen Cheng Journal of Information Resources Management    2024, 14 (3): 121-135.   DOI: 10.13365/j.jirm.2024.03.121 Abstract （944）      PDF（pc） （1873KB）（733）       Knowledge map    Save Comprehensive Government Service Apps are critical for delivering "one-stop" solutions for high-frequency government transactions and are essential for the development of efficient, collaborative digital governance. This study explores the determinants of user satisfaction and their mechanisms to inform targeted enhancements in app functionality and service processes, ultimately aiming to improve digital governance standards. Utilizing the Service Encounter Triad and the Service Encounter Satisfaction Model as theoretical frameworks, this study analyzed user reviews from 29 apps through Grounded Theory, identifying seven key factors within product quality and usage contexts. This study developed a triadic subject model and a process model to describe these dynamics and revealed that higher product quality and usage scenarios aligned with user needs lead to greater satisfaction. Institutional pressures in app promotion negatively influence satisfaction prior to use, whereas during usage, product quality positively impacts user satisfaction. After use, perceived empathy within the usage context enhances satisfaction. Additionally, institutional pressures negatively moderate the positive relationship between product quality and satisfaction. This study not only elucidates the complex mechanisms affecting user satisfaction but also enriches the management information systems literature by extending the applicability of established theories. The insights provided offer a theoretical basis for further quantitative studies on satisfaction dimensions and the regulatory effects of institutional pressures. Recommendations derived from this study could optimize digital governance services, promoting high-quality development and advancing digital transformation in China. Related Articles | Metrics | Comments（0）

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Institute of Information Science, Shanghai Academy of Social Sciences, Shanghai, 200235 Zhang Zhun Journal of Information Resources Management    2024, 14 (2): 54-67.   DOI: 10.13365/j.jirm.2024.02.054 Abstract （933）      PDF（pc） （1104KB）（3054）       Knowledge map    Save The guideline, which includes twenty key measures to build basic systems for data released in December 2022 (referred to as the "Twenty Data Measures"), proposes a structural separation system for data property rights, with "incentivizing data circulation" as its core focus. The rational allocation of the right to hold data resources affects the initial distribution of data benefits, serving as the foundation for achieving the strategic goal of "common use and shared benefits" of data. Under the traditional exclusive property rights mindset, the allocation patterns of the right to hold data resources may exacerbate conflicts of interest among data co-producers. This article suggests allocating the right to hold data resources among data co-producers in a "1+N" model, which means "prior hold data right for a specific data producer + access rights for N other data producers". With the support of tools such as technical governance and transparency governance, it explores a new, fair, and efficient data property rights system that aligns with the developing laws of the data economy. Related Articles | Metrics | Comments（0）

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The Dilemma and Practical Approach of Data Factor Value Creation in Chinese Enterprises from the Collaborative Perspective Qian Jinlin　Xia Yikun Journal of Information Resources Management    2023, 13 (6): 5-16.   DOI: 10.13365/j.jirm.2023.06.005 Abstract （931）      PDF（pc） （1867KB）（1844）       Knowledge map    Save Mining and releasing enterprise data factor value is of great significance to cultivate enterprise core competitiveness and to promote social economic growth. Based on literature research, comparative analysis and other methods, this paper comprehensively uses synergy theory and data value chain theory to analyze the connotation mechanism of data factor value creation, and then based on the coupling of data chain and value chain, this paper builds the analysis framework of the collaborative work scene within the enterprise and the collaborative co-governance scene outside the enterprise. The results suggest that: (1)Chinese enterprises lack the analytical ability of data value system, fail to set up data resource management system, and cannot achieve the collaborative development of data utilization and business scenarios; (2)It is difficult to form a value co-creation network with data sharing and exchange as the core because the data sharing channels between enterprises are not smooth, the data relationship is not harmonious, and the interest balance mechanism is not perfect; (3)The two-way data flow sharing mechanism between enterprises and the government is not perfect, and the government-enterprise data coordination supervision and cultivation system is not complete; (4)It is difficult to balance the protection of data rights and the pursuit of data interests between enterprises and individuals. Therefore, this paper puts forward the practical approach of data factor value creation in China from two perspectives: (1)improving the collaborative research ability of data factor value creation within enterprises, and (2)establishing a multi-agent collaborative and co-governing data ecology outside enterprises. Related Articles | Metrics | Comments（0）

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The Inherent Attributes of Artificial Intelligence Generated Content(AIGC) and Its Impact on the Discipline of Information Resources Management Zhu Yu　Chen Guanze　Ye Jiyuan Journal of Information Resources Management    2024, 14 (6): 60-72.   DOI: 10.13365/j.jirm.2024.06.060 Abstract （926）      PDF（pc） （1088KB）（1276）       Knowledge map    Save The inherent attributes of the concept of Artificial Intelligence Generated Content(AIGC) remains a matter of contention within the field of library and information science/ information resources management(IRM). As the issue is closely related to the core research content of IRM research, delving into this problem is significant to understand the key research areas of the discipline, with a focus on AIGC research and a moderate expansion of the disciplinary scope. This study utilized both conceptual and comparative analysis methods to investigate the inherent attributes of AIGC and its related concepts, analyzing the information resources characteristics of AIGC from three perspectives, namely, knowledge philosophy, practical needs, and disciplinary construction, thus proving the necessity of incorporating AIGC into IRM research. Moreover, this study demonstrated the rationality through an analysis of AIGC’s source technology and an examination of the information chain, leading to a renewed understanding within the framework of IRM. Notably, this study clearly identified the inherent attribute of AIGC as the value of information resources, which is one of the core research content of IRM discipline. Additionally, it presented 6 pressing research topics on AIGC for the field of IRM to address. Related Articles | Metrics | Comments（0）

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Scientific Paper Recommendations with User Dynamic Preferences: A Knowledge Graph Approach Based on Attention Embeddings Liu Ya　Mao Qian’ang　Yan Jiaqi　Chen Xi Journal of Information Resources Management    2025, 15 (1): 113-125.   DOI: 10.13365/j.jirm.2025.01.113 Abstract （881）      PDF（pc） （2167KB）（969）       Knowledge map    Save Scientific paper recommendation systems serve as an effective solution to the problem of information overload in academic databases. This study proposes a knowledge-graph-based method employing attention embeddings for the task of scientific paper recommendation to enhance the effectiveness of recommendations. This method initially constructs a collaborative knowledge graph to integrate user behavior with paper attribute information and optimizes node vector representations using the TransR approach. Subsequently, it introduces an attention sequence module that employs an attention propagation mechanism to learn node features and utilizes a sequence attention mechanism to capture the temporal preferences of users from their reading sequences. Finally, the model calculates match scores between researchers and candidate papers to generate personalized recommendation lists. Experiments conducted on a dataset provided by the "Blockchain Laboratory" have validated the effectiveness of the model. Experimental results indicate that the proposed model significantly improves recommendation recall rates, capturing the dynamic interests of researchers more accurately. This study not only enhances the performance of scientific paper recommendation systems but also provides new perspectives and tools for understanding and predicting the evolution of researcher interests. Related Articles | Metrics | Comments（0）

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Ontology-driven Design and Application of Archival Documentary Heritage Metadata：Taking Suzhou Silk Archives as Example Niu Li　Huang Laihua　Jia Junzhi　Liu Yuxin Journal of Information Resources Management    2023, 13 (5): 15-31.   DOI: 10.13365/j.jirm.2023.05.015 Abstract （880）      PDF（pc） （6378KB）（2290）       Knowledge map    Save Metadata is the key to realize the organization and digital storage of archival documentary heritage, and also the guarantee of its development and utilization. Considering the definition, the hierarchical structure and the attributes of classes of ontology, this paper designs an aggregated metadata system with semantic features and content elements. Taking archival documentary heritage as the research object, we treat its metadata design as the core problem and put forward the general idea and specific steps of ontology-driven metadata design of archival documentary heritage, including resource selection and collection, construction of ontology models, from ontology to metadata, and application of metadata schemes. In addition, taking Suzhou silk archives as an example, the knowledge ontology is constructed combined with their characteristics to realize the design and application of metadata schemes, so as to confirm the validity and scientificity of ontology in guiding metadata construction. Related Articles | Metrics | Comments（0）

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Predicting Highly-value Patents and Analyzing its Determinants Based on BP Neural Network and MIV Algorithm Hu Zewen　Zhou Xiji Journal of Information Resources Management    2023, 13 (6): 144-155.   DOI: 10.13365/j.jirm.2023.06.144 Abstract （868）      PDF（pc） （3920KB）（1397）       Knowledge map    Save This paper designed multi-dimensional evaluation indicators of patent value and recognized high-value patents as the prediction target vector to construct the training set and the test set. Then the BP neural network model was used to predict and identify potential high-value patents. At the same time, the MIV algorithm was used to analyze the contribution and influence of various dimension indicators of patent value to the result of the high-value patents prediction. The experimental results show that: (1) The prediction performance of the BP neural network model is relatively good, and the prediction accuracy rate is all over 89%. The BP neural network model that takes the recognized high-value patents through "patent family size" as the predictive target vector has the best performance, while the BP neural network model with the predictive target vector composed of the recognized high-value patents through the combination indicator of "patent family size" and "patent citation frequency" performs relatively poorly. (2) The MIV absolute value can effectively reflect the influence and contribution degree of various patent value indicators on the result of the predication model. The indicator of technical value has the most significant influence on the result of the highly-value patent prediction based on the BP neural network model. From the perspective of the MIV absolute value and the total proportion of every single indicator, the four indicators including the number of patent IPC4 classification, the speed of first citation, the number of claims, and the frequency of patent citations have a more significant influence on the results of high-value patents prediction. Related Articles | Metrics | Comments（0）

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Migration Map Across the Millennium：Deep Mining and Visualization Development of Migration Data in Genealogical Literature Liu Qianqian　Xia Cuijuan　Shan Shuyang Journal of Information Resources Management    2024, 14 (2): 95-103,161.   DOI: 10.13365/j.jirm.2024.02.095 Abstract （852）      PDF（pc） （3970KB）（2025）       Knowledge map    Save This study utilizes the synoptic catalog from Chinese Genealogy Knowledge Service Platform and applies technologies such as ontology and associated data, GIS and visualization to extract and exploit knowledge of migration information contained in genealogical literature, and designs and develops an interactive visual presentation project with migration spatio-temporal data for narrative, and delivers the service in multiple terminals and scenes, thereby enhancing the utility of genealogical literatures and pioneering innovative knowledge service models for genealogy. This study mines, organizes and visualizes large-scale data to provide new ideas for the promotion and utilization of the unique resources of library collections. It also offers new methods for the presentation and dissemination of humanities knowledge, and broadens the scope of digital humunities services to encompass the general public. Related Articles | Metrics | Comments（0）

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Construction and Application of Semantic Interoperability Concept System from the Perspective of Standardization: Taking Development of Smart Cities International Standards as an Example Huang Jie　An Xiaomi　Kuang Miaomiao　Wu Jing Journal of Information Resources Management    2024, 14 (3): 56-68，135.   DOI: 10.13365/j.jirm.2024.03.056 Abstract （844）      PDF（pc） （3928KB）（2787）       Knowledge map    Save This paper adopts ISO 704:2022 terminology work—principles and methods, regards the definitions of “semantic interoperability” in international standards as the research objects, and then identifies the core concepts, characteristic and their relationships of “semantic interoperability”. It constructs a concept system of “semantic interoperability” based on international standards, which reveals the capability characteristics and functional requirements of “semantic interoperability”. Then, this paper uses case analysis method to map the “semantic interoperability” characteristics of relevant international standards in the field of smart cities, to analyse gaps in the development of semantic interoperability standards and to provide guidance for selection and development of semantic interoperability standards in smart cities, which helps verify the practicality of this concept system. The research has shown that this system has significance for improving efficiency of data, information, and knowledge sharing and exchange in artificial intelligence scenarios, for promoting data, information, and knowledge association, fusion, and interpretability, and for promoting standardization collaboration on multi-dimensional, multi-scenario, and multi-dimensional semantic interoperability. Related Articles | Metrics | Comments（0）

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Research on Online Public Opinion Guidance and Control of Major Emergencies from the Perspective of Actor Network：Analysis Based on the Hybrid Method of SD and fsQCA Li Ming　Hou Tiantian Journal of Information Resources Management    2024, 14 (5): 104-115.   DOI: 10.13365/j.jirm.2024.05.104 Abstract （844）      PDF（pc） （5326KB）（2329）       Knowledge map    Save The occurrence of major emergencies often leads to a surge in online public opinion, making the effective guidance and control of such opinions a significant challenge in current public opinion management. From the perspective of actor-network theory, this study constructs an analysis framework for guiding and controlling online public opinion, which includes actors such as events, media, netizens, and government. A system dynamics model is employed to simulate the mechanism of online public opinion guidance and control for major emergencies. Through sensitivity analysis, the key influencing factors are identified. Based on this, the fuzzy set qualitative comparative analysis (fsQCA) method is applied to analyze the conditions configuration to explore effective pathways for online public opinion guidance and control in major emergencies. This study reveals that the severity of the event, the intensity of media coverage, the emotional intensity of netizens, and the level of government attention play crucial roles in guiding public opinion. It is essential to further strengthen the ability to analyze complex influencing factors, emphasize the roles of media and netizen actors, and enhance the organic linkage and effective collaboration between government attention and various actors to ultimately achieve effective guidance and control of online public opinion in major emergencies. Related Articles | Metrics | Comments（0）

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Exploring a Multi-factor Model of Privacy Disclosure in User-Generative AI Interaction Sun Guoye　Wu Dan　Liu Jing　Deng Yuyang Journal of Information Resources Management    2025, 15 (2): 108-122.   DOI: 10.13365/j.jirm.2025.02.108 Abstract （836）      PDF（pc） （5021KB）（1232）       Knowledge map    Save The widespread application of generative artificial intelligence (Generative AI) has brought unique privacy challenges to human-computer interaction. This study focuses on privacy disclosure in the interaction between users and Generative AI, combining large language models with manual coding to identify common types of privacy disclosed in the interaction between users and Generative AI. Based on contextual integrity theory, this study employs user annotation and semi-structured interviews to explore the mechanisms influencing user privacy disclosure. The findings reveal that user privacy disclosure is jointly affected by the user's privacy attitude, technology trust, and privacy risk perception, and the system's data management transparency indirectly affects privacy disclosure by affecting technology trust. Based on the research results, this study constructs a multi-factor influence model of privacy disclosure in the interaction between users and Generative AI, providing a theoretical reference for the development of more privacy-friendly Generative AI. Related Articles | Metrics | Comments（0）