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A Review of Metaverse Research and Applications Star X.Zhao　Qiao Lili　Fred Y.Ye Journal of Information Resources Management    2022, 12 (4): 12-23,45.   DOI: 10.13365/j.jirm.2022.04.012 Abstract （1687）      PDF（pc） （934KB）（1579）       Knowledge map    Save In review of the current situation and future of research and application of metaverse, this paper focus on four aspects: theoretical concepts, key technologies, application scenarios and policy governance. The academic community has now formed three major theoretical perspectives: parallel universe view, fusion universe view and evolutionary universe view, which converge three technological development paths of replicated reality, augmented reality and transcendental reality, respectively. The digital economics in business life, industrial production, culture and education, and urban society have produced a positive weather of blossoming. In terms of governance, this paper suggests that the development of metaverse in China should be built with "autonomous and controllable" industry, "virtual-reality interaction" direction and "inclusive and prudent" attitude. Finally, this paper presents three basic metaverse indicators, namely metaverse index, metaverse duration and metaverse population, to characterize the space, time and development of metaverse respectively. 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 （1615）      PDF（pc） （2464KB）（776）       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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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 （1139）      PDF（pc） （840KB）（681）       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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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 （827）      PDF（pc） （1011KB）（651）       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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Prediction of Microblogging Public Opinion Reversal in the Context of Hot Events An Lu　Hui Qiuyue Journal of Information Resources Management    2022, 12 (3): 21-34.   DOI: 10.13365/j.jirm.2022.03.021 Abstract （523）      PDF（pc） （1506KB）（564）       Knowledge map    Save The rapid broadcasting of hot events by new media makes the phenomenon of public opinion reversal occur from time to time. It is important to identify the influence factors of public opinion reversal, which can help predict the reversal of public opinion at the beginning of public events. Successful prediction of public opinion reversal can help emergency management departments predict and guide the development trend of public opinion in time. It also helps enhance the credibility of the media and maintain the healthy development of the online ecological environment. We crawled the hot microblog posts of the topics about 38 hot events on Sina Weibo from 2017 to 2020. Based on the previous research, we proposed the public opinion reversal prediction models that consisted of 30 features from four aspects of events, users, information, and dissemination. The XGBoost technique was used to calculate the importance of different features in the public opinion reversal prediction model. The Logistic Regression, Decision Tree, Random Forest, XGBoost and Gaussian Naive Bayes techniques were used to construct the public opinion reversal prediction models. The models were trained and evaluated in the experiment to find out the optimal prediction model. The experimental result showed that the information balance, the type of the user who exposes the event, and the event type had the most significant impact on the prediction performance of the public opinion reversal model. The prediction models based on the Random Forest and XGBoost techniques achieved the best performance among all the five public opinion reversal models. Suggestions were also made on the discrimination and governance of public opinion reversal from three aspects, i.e., media, the public and social media platform. Related Articles | Metrics | Comments（0）

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Frames and Impact on Vaccine Hesitancy of COVID-19 Vaccine Information among Social Media：Content Analysis and Online Control Experiment Based on Sina Weibo Cui Jiayong　Wang Xiling Journal of Information Resources Management    2022, 12 (3): 165-180.   DOI: 10.13365/j.jirm.2022.03.165 Abstract （898）      PDF（pc） （3562KB）（562）       Knowledge map    Save It is important to understand how information of COVID-19 vaccine is organized among social media and how social media messages influence public vaccine hesitancy. Based on Prospect Theory and Framing Theory, this paper conducts a content analysis to analyze the organization of vaccine information in social media during the early period of COVID-19 vaccine promotion and explore the persuasion mechanism of vaccine information frames to ease vaccine hesitancy by online controlled experiment. This study found that: 1) nearly 20% of the weibo content about COVID-19 vaccine uses gain-loss frame, of which the gain frame is the majority. Individualism and collectivism values account for half respectively, and about 50% contain narrative elements; 2) the gain-loss frame and narrative elements may affect the comment intention of users; 3) the loss frame, individualism values and narrative elements in vaccine advocacy content help to alleviate one’s vaccine hesitancy, and there is an interactive effect between goal frame and justice perspective. The results revealed the mechanism of social media information on vaccination attitudes in the early stage of COVID-19 vaccination, providing enlightenment for the government and media in health promotion during the pandemic. 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 （452）      PDF（pc） （6056KB）（504）       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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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 （406）      PDF（pc） （1792KB）（489）       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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Computational Analysis of Public Opinion Evolution of Short Video in Emergencies Chen Jinghao　Wang Youfeng　Nie Huizi Journal of Information Resources Management    2022, 12 (3): 152-164,180.   DOI: 10.13365/j.jirm.2022.03.152 Abstract （565）      PDF（pc） （11879KB）（463）       Knowledge map    Save In emergencies, the public has become accustomed to using short video platforms to publish crisis short videos, track crisis situations, and express emotions. This has brought great challenges to public opinion research, especially when faced with massive and high-frequency short video public opinion data, quickly grasping its evolutionary law is very important, which can provide support for emergency decision-making. Based on this, this paper proposes a short video public opinion evolution analysis framework for emergencies. It includes functions such as short video collection, compression, life cycle division, account type statistics, video classification, emotional tendency calculation, and topic mining. By using the case data of "Zhengzhou 7.20 Heavy Rain", this paper verifies the framework and finds that it can well complete the analysis task. 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 （373）      PDF（pc） （1232KB）（457）       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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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 （572）      PDF（pc） （1298KB）（442）       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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Redrawing the Disciplinary Blueprint in the Name of Information Resources Management Feng Huiling Journal of Information Resources Management    2022, 12 (6): 4-10.   DOI: 10.13365/j.jirm.2022.06.004 Abstract （361）      PDF（pc） （659KB）（400）       Knowledge map    Save This paper reviews the historical process of the renaming of the first-class discipline of "Library, Information and Archives Management" to "Information Resources Management", expounds the main reasons for the renaming of the discipline, responds to the doubts about the renaming, and finally puts forward three important tasks for the development of Information Resources Management in the future, namely, consolidating the basic theory of Information Resources Management in the new era, studying the basic framework of Information Resources Management, and ensuring the healthy development of Library Science, Information Science and Archival Science. Related Articles | Metrics | Comments（0）

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Data and Algorithm Security Governance in the European Union: Characteristics and Implications Cui Wenbo　Zhang Tao　Ma Haiqun　Cai Qingping Journal of Information Resources Management    2023, 13 (2): 30-41.   DOI: 10.13365/j.jirm.2023.02.030 Abstract （405）      PDF（pc） （4166KB）（395）       Knowledge map    Save Research on the structure and characteristics of data and algorithm security governance in typical global regions will provide a reference for data and algorithm security governance in China. The paper takes data and algorithm security as the governance object to investigate EU’s realization of the governance goal on digital sovereignty and technological sovereignty. In terms of governance content, the framework of the EU data and algorithm security governance with the core of the General Data Protection Regulations (GDPR) consists of four parts: privacy and data protection, data flow security, platform algorithm security, and artificial intelligence ethics. In terms of governance subjects, with the European Data Protection Regulatory Authority and other institutions as the core, a multi-party collaborative governance subject integrating "legislation-enforcement-service" is formed. The EU data and algorithm security governance has the typical characteristics of emphasizing personal privacy data security, establishing cross-border data flow security rules, forming a collaborative security governance model for algorithm nested data, and a human-centered AI ethics and governance. Based on the characteristics of data and algorithm security governance in the European Union, three suggestions are proposed for the current situation of data and algorithm security governance in China: to improve the collaborative governance mechanism of data and algorithm security, to establish a data flow system between subjects and an evaluation mechanism for intermediary agencies, as well as a balance mechanism between AI ethical supervision and innovative development. Related Articles | Metrics | Comments（0）

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Building Consensus and Promoting the First-Level Discipline Construction of Information Resource Management Ma Feicheng Journal of Information Resources Management    2023, 13 (1): 4-8.   DOI: 10.13365/j.jirm.2023.01.004 Abstract （682）      PDF（pc） （599KB）（388）       Knowledge map    Save The knowledge system of LIS & Archives Management have undergone a long period of development, and its first-level discipline has been renamed "information resource management". As a first-level discipline name, information resource management highlights the characteristics of the times, covers the entire process of the field of library, information and archives, and opens up space for new fields. It is a concept that keeps pace with the times and integrates domestic and foreign information practice. After the renaming of the first-level discipline, an important issue that the academic community needs to solve is how to strengthen the construction of new majors. I suggest that both postgraduate and undergraduate levels can be considered comprehensively. At the postgraduate level, majors can be set according to the original secondary disciplines, or the connotation of information resource management, or a combination of the first two methods, which can not only retain the original secondary disciplines, but also contain new majors. At the undergraduate level, the major name of library and archives can be renamed as information resource management or information management to promote the connection between the undergraduate catalog and the postgraduate catalog. Related Articles | Metrics | Comments（0）

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The Development and Operation of Data Production Factors Market Ma Feicheng　Lu Huizhi　Wu Yishu Journal of Information Resources Management    2022, 12 (5): 4-13.   DOI: 10.13365/j.jirm.2022.05.004 Abstract （643）      PDF（pc） （718KB）（386）       Knowledge map    Save As the digital economy has become an important driving force for the economic growth of China, cultivating data production factors market is an inevitable requirement for further economic development. The development of digital economy and digital industry provides the basic conditions for the expansion of the data element market, but the data element market of China is still in the initial stage of development. In this paper, we review the concept and development status of the data element market. Based on key influencing factors such as data ownership, data classification, data security, and open sharing, we analyze the current difficulties and challenges of the development of the data element market. The operating mode and mechanism of the data element market are systematically discussed. We put forward advice on the development path of the data element market, which provides useful thinking for guiding the high-quality development of the data element market. Related Articles | Metrics | Comments（0）

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Human-chatbot Interaction vs. Human-human Interaction: Effects of Service Agent Perception and Two-sided Arguments in Conversational Commerce Li Mengxin　Yi Cheng Journal of Information Resources Management    2023, 13 (3): 140-153.   DOI: 10.13365/j.jirm.2023.03.140 Abstract （481）      PDF（pc） （1820KB）（373）       Knowledge map    Save The fact that conversational commerce has been one of the most favorable ways for companies to reach customers has generated an increasing number of use cases for chatbots. Making a comparison between human-chatbot communication and human-human communication can shed light on the behavioral rules which determine how humans interact with intelligent agents and provide design and application guidelines for chatbots. This study compares human-chatbot conversation with human-human conversation in the context of online customer service to figure out whether two-sided arguments have different effects on users’ purchase intentions and experiences. A laboratory experiment is conducted with a 2 (user’s perception of the customer service agent: chatbot vs. human) 2 (conversation design: two-sided argument vs. one-sided argument). The experiment applies Wizard of Oz method, with humans performing service tasks while giving the impression to that users they are chatting with chatbots. The results show that in human-human communication, two-sided arguments have a negative impact on users’ purchase intention for the product, while in human-chatbot communication, the effect is non-significant. When users believe they are interacting with a chatbot, the positive effects of two-sided arguments on user perceptions of source credibility and pleasure are amplified. Related Articles | Metrics | Comments（0）

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Best Deals for Livestreaming Fans:A Negotiation Model under the Anchor’ s Reputation Concern Yang Siyi　Dou Yifan Journal of Information Resources Management    2023, 13 (3): 100-111.   DOI: 10.13365/j.jirm.2023.03.100 Abstract （349）      PDF（pc） （4766KB）（365）       Knowledge map    Save In live-streaming e-commerce shows, the reputation of anchor plays a central role because it simultaneously affects the brand-side price negotiation and the anchor-side long-run profitability. This paper examines the effect of the anchors’ reputation on price negotiation with Nash bargaining model in light of the conflict between brands’ myopic focus on one-off profits and anchors’ focus on long-term reputation. Our analytical and numerical results suggest that the negotiated price is non-monotonically affected by the reputation concern. An anchor with a greater reputation concern may receive a smaller discount. Besides, the brand, the anchor, and consumers all benefit when the anchor has a moderate concern for his or her reputation. Related Articles | Metrics | Comments（0）

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Development of Information Resource Management Theory Driven by Digital Intelligence Hu Changping　Lyu Meijiao Journal of Information Resources Management    2022, 12 (4): 4-11.   DOI: 10.13365/j.jirm.2022.04.004 Abstract （636）      PDF（pc） （917KB）（364）       Knowledge map    Save The theoretical research of information resource management focuses on the form of information carrier, basic structure, internal relationship, resource development and user-oriented service. From the practice of information resource management, the construction of basic theory and forward-looking exploration must be supported by corresponding technology, that is, the development of information technology and its application determine the basic theoretical framework. Starting from the relationship between the progress of digital intelligence technology and the transformation of information resource form, this paper introduces the basic theoretical framework of information management driven by data intelligence technology and summarize the development of forward-looking theory. Focusing on the theoretical construction of information resource management discipline and the development analysis based on digital intelligence empowerment, this paper shows the theoretical development in big data and intelligence, so as to provide a reference for the research and practice of cutting-edge problems. Related Articles | Metrics | Comments（0）

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Influencing Factors of Doctors’ Online Rating Information Characteristics: Based on Social Capital Theory and Social Exchange Theory Han Xi　Jiang Peiyao　Han Wenting　Zhu Qinghua Journal of Information Resources Management    2023, 13 (1): 78-90.   DOI: 10.13365/j.jirm.2023.01.078 Abstract （261）      PDF（pc） （1110KB）（359）       Knowledge map    Save Under the background of "Internet + health" strategy, online doctor rating information is increasingly important for building online and offline trust between doctors and patients. Whether doctors’online reputation is credible or not is the common concern of doctors and patients. Based on social capital theory and social exchange theory, this paper uses regression analysis to analyze factors that influence doctors’ online reputation characteristics. Results show that the offline social capital and online participation of doctors have a significant correlation with the positive online rating information they obtain. Higher offline social capital (such as academic title, professional title, hospital level, city level, etc.) helps doctors get a higher probability of being rated and the number of comments, but some kinds of offline social capital are not significantly related to the level of rating scores. The online participation of doctors in the virtual medical community(such as online consultation and publishing popular science articles,etc.) is significantly related to the higher probability of being rated, rating scores, and the number of reviews. Online participation can also change the influence of inherent offline social capital on the doctors’ online reputation. In addition, in the case of small differences in rating scores, offline social capital and online participation have weaker explanatory power for the level of rating scores, but have higher explanatory power for the number of reviews and the probability of being rated. The research enriches social capital theory and social exchange theory, and provides practical implications for doctors, hospitals, physician rating websites and health management departments. Related Articles | Metrics | Comments（0）

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Impacts of Platforms’ Privacy Assurance Mechanisms on Consumers’ Privacy Disclosure Shao Xiuyan　Cao Cong　Wang Ping Journal of Information Resources Management    2023, 13 (3): 23-38.   DOI: 10.13365/j.jirm.2023.03.023 Abstract （329）      PDF（pc） （2915KB）（357）       Knowledge map    Save Protecting consumers’ privacy, eliminating their privacy concerns, and encouraging their self-disclosure are essential for online shopping platforms to promote personalized products and services, and maintain core competitiveness. In order to clarify the mechanism of privacy assurance mechanisms, this study integrated the elaboration likelihood model and herding theory, collected 231 samples through an online survey, and analyzed the data using SmartPLS. The results show that both trust belief and herd mentality significantly affect consumers’ privacy disclosure behavior, while trust belief has a greater effect. Both direct and indirect privacy assurance mechanisms establish consumers’ trust on platforms, however, direct privacy assurance mechanism is more effective of establishing consumers’ trust. The reputation of the platform affects consumers’ herd mentality. Consumers with higher analysis ability are more inclined to form trust belief based on platforms’ direct privacy assurance mechanism, whereas consumers with lower analysis ability rely more on peripheral cues to form trust beliefs and herd mentality. This study complements and improves the extant research, and provides useful guidelines for online shopping platforms and consumers on better privacy protection. 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 （589）      PDF（pc） （1084KB）（353）       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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Trade-offs,Subject Trust and Crisis Perception: Exploring Factors Affecting Regular Usage Intention of the “Health Code” Xie Xinzhou　Shi Lin Journal of Information Resources Management    2022, 12 (3): 63-75.   DOI: 10.13365/j.jirm.2022.03.063 Abstract （392）      PDF（pc） （2115KB）（352）       Knowledge map    Save Regular usage of the “Health Code”, a social governance and emergency management technology spawned by COVID-19 pandemic, not only relates to the life cycle of this technical tool, but also tests the feasibility and effectiveness of such data-based innovation for social governance in the post-pandemic era. Taking the Technology Acceptance Model (TAM) as a reference, a model of intention to regularly use the “Health Code” was constructed. The empirical results showed that people’s intention to regularly use the “Health Code” was accompanied by a "benefit-risk" calculus, and the results would change with the weakening of technology effectiveness, the intervention of data owners, and the recurrence of crisis situations. The theoretical and practical implications were then provided. Related Articles | Metrics | Comments（0）

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UK National Data Security Governance: Systems, Institutions and Implications Zhang Tao　Cui Wenbo　Liu Shuo　Cai Qingping　Ma Haiqun Journal of Information Resources Management    2022, 12 (6): 44-57.   DOI: 10.13365/j.jirm.2022.06.044 Abstract （586）      PDF（pc） （4413KB）（351）       Knowledge map    Save This article sorts out the UK national data security governance measures from two aspects. First, the UK national data security governance system is divided into five parts: personal data security, government data security, network data security, data ethics security and artificial intelligence data security; The second is to sort out the powers and responsibilities of the UK data security governance institutions and analyze their characteristics. After years of evolution and changes in the UK national data security governance, its institutional evolution is from the outside to the inside. Focusing on personal data security and human rights, the UK was an early adopter of regulatory sandbox governance mechanism. Many related systems are still applicable after it left the EU. In terms of institutions, governance system of "one center, one network" has been developed. Finally, four suggestions are put forward in view of the current situation of data security governance in our country, that is, to improve a data security governance institutional system of "one center and one network", to build a data ethical cooperation mechanism among multiple stakeholders, to establish a supervision sandbox mechanism to effectively prevent and control data security risks, and to improve the institutional system of data security in the cross-border circulation. 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 （318）      PDF（pc） （829KB）（343）       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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Practice and Prospect of Full-text Bibliometric Analysis:Theory,Method and Application——A Review of the 2022 Academic Salon on Full-text Bibliometric Analysis Zhou Haichen　Zhang Chengzhi　Hu Zhigang　Xu Shuo　Yang Siluo　Li Kai Journal of Information Resources Management    2023, 13 (2): 135-142.   DOI: 10.13365/j.jirm.2023.02.135 Abstract （307）      PDF（pc） （739KB）（328）       Knowledge map    Save On December 1-2, 2022, the Fifth Chengdu Conference on Scientometrics & Evaluation was held, hosted by Chengdu Library and Information Center, Chinese Academy of Sciences and organized by the Sci-tech innovation Evaluation Research Center (SERC). The Third Academic Salon on Full-text Bibliometric, initiated by Zhang Chengzhi and others, was an important event of the Chengdu Conference, attracting more than 100 experts and scholars to participate and communicate. By summarizing the speeches and discussions of the guests at the salon, this article broke the main content of salon into theoretical research, technical methods and application directions, so as to reveal the research status and trend of full-text bibliometric analysis. Related Articles | Metrics | Comments（0）

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The Metaverse and Libraries: A Review of Frontier Research and Future Prospects Zhao Yawen　Lai Xingxing Journal of Information Resources Management    2023, 13 (1): 29-40.   DOI: 10.13365/j.jirm.2023.01.029 Abstract （579）      PDF（pc） （804KB）（325）       Knowledge map    Save Using the literature review method, this paper first attempts to clarify the meta-question of "what is the Metaverse" from an interdisciplinary perspective. Secondly, the existing research results of the Metaverse and the library are systematically reviewed, and it is found that preliminary research results have been achieved in the two major aspects of theoretical research and applied strategy research.However, there are some problems such as the tendency of technological pragmatism about the Metaverse, the neglect of people, and the insufficient reflection on the Metaverse and Libraries research. In this regard, it is suggested that the future research on the Metaverse and Libraries should focus on the following three aspects: in terms of research methods, we should focus on advancing in-depth theoretical research on the Metaverse and Libraries from an interdisciplinary perspective; in terms of research objects, we should focus on changes in the basic concepts of the libraries field and their relations; on the research topic, the rational reflection on the Metaverse and libraries from the dual perspectives of theory and practice should be paid attention. 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 （359）      PDF（pc） （1103KB）（321）       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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Research on Influencing Factors of Government Information Public Sustainable Use Behavior under Public Health Emergency: Trigger Path and Evolution Analysis Based on QCA Duan Yaoqing　Zhu Yongdi　Cai Qibin　Wang Rui Journal of Information Resources Management    2022, 12 (3): 89-99.   DOI: 10.13365/j.jirm.2022.03.089 Abstract （779）      PDF（pc） （869KB）（319）       Knowledge map    Save This paper uses grounded theory to analyze the interview data of 27 interviewees and extracts the influencing factors of government information public continuance use behavior under public health emergency. Based on the extracted factors and COVID-19, a questionnaire is designed and sent to 170 users. Then the paper identifies the trigger path of government information public continuance use behavior under public health emergency through fuzzy set qualitative comparative analysis, summarizes its mode, and further identifies the core factors and their evolution law, so as to realize the control of emergencies and improve the government’s ability to deal with emergencies. The results show that the trigger paths are in difference in each stage of the epidemic. Personal drive, information quality and government feedback are the key factors to trigger the continuance use of public government information under public health emergency. 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 （342）      PDF（pc） （3687KB）（317）       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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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 （364）      PDF（pc） （647KB）（317）       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）