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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 （2876）      PDF（pc） （2464KB）（2923）       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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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 （2353）      PDF（pc） （934KB）（2568）       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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Review on the Influencing Factors of Social Media Users’ Information Avoidance Behavior Dai Bao　Yang Zeguo Journal of Information Resources Management    2022, 12 (2): 13-24.   DOI: 10.13365/j.jirm.2022.02.013 Abstract （1535）      PDF（pc） （2651KB）（2041）       Knowledge map    Save This paper aims to uncover the influencing factors of social media users’ information avoidance behavior to provide convenience to scholars for future research, and it also provides theoretical guidance to relevant organizations for their practices of decreasing individuals’ information avoidance so as to improve the effectiveness of information communication. In order to find the main causes of social media users’ information avoidance behavior, the existing literature about ad avoidance, news avoidance, and other types of information avoidance were analyzed by using the systematical review approach. The results showed that social media users’ information avoidance was mainly impacted by the information-related factors (e.g., information quality, amount, and expression form), the user-related factors (e.g., cognition, affection, interests, attitudes, and behaviors), and situation factors (e.g., the characteristics of social media, and social influence of other users). Related Articles | Metrics | Comments（0）

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Exploration on the Development Trend of Information Science in the Era of Data Intelligence Empowerment Lu Wei　Yang Jinqing Journal of Information Resources Management    2022, 12 (2): 4-12.   DOI: 10.13365/j.jirm.2022.02.004 Abstract （1765）      PDF（pc） （4891KB）（1927）       Knowledge map    Save In the age of digital intelligence, the comprehensive intervention of big data, artificial intelligence and other new technologies has ushered in new opportunities for the development of information discipline. This paper first reveals the disciplinary characteristics of information science based on a review of the origins of the discipline, then analyzes the evolutionary path of information science research driven by data, and finally explores the development trend of information science by taking different periods of the disciplinary evolutionary path as a guide. The study found that information science started from scientific and technological information work, formed in the construction of information resources, grew in information management and services, developed in the expansion of information services, and has been constantly pioneering and innovating. The development of information science cannot be separated from the technology empowerment, especially the empowerment of big data + artificial intelligence and other information technology. This kind of empowerment will bring new growth points for the future development of information science. Related Articles | Metrics | Comments（0）

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Value Creation of Data Elements: Review and Research Prospects Zhao Caijing Journal of Information Resources Management    2024, 14 (2): 41-53.   DOI: 10.13365/j.jirm.2024.02.041 Abstract （810）      PDF（pc） （985KB）（1696）       Knowledge map    Save Data has become a key production factor in China’s economic and societal development, with the circulation and value realization of data elements progressively becoming a crucial means for the high-quality development of the digital economy. This paper reviews the literatures and practices concerning the value creation of data elements, examining aspects such as the connotation, mechanisms, driving factors, obstacles and development paths. Based on this, this paper identifies gaps in the existing literatures on the value creation of data elements, advocating for a future research agenda that emphasizes interdisciplinary integration. It also proposes to explore future research directions and methodologies from perspectives including the conceptualization and measurement of data element value, determinants, and mechanisms of influence. Related Articles | Metrics | Comments（0）

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The Main Practice and Basic Experience of Foreign Government Data Asset Management Xia Yikun　Guan Qian Journal of Information Resources Management    2022, 12 (6): 18-30.   DOI: 10.13365/j.jirm.2022.06.018 Abstract （1970）      PDF（pc） （840KB）（1526）       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 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 （1088）      PDF（pc） （1084KB）（1479）       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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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 （1218）      PDF（pc） （1011KB）（1443）       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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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 （612）      PDF（pc） （1792KB）（1220）       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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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 （677）      PDF（pc） （1506KB）（1216）       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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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 （492）      PDF（pc） （3687KB）（1203）       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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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 （620）      PDF（pc） （1232KB）（1148）       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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Research on the Influencing Factors of Information Avoidance Behavior of College Students as Social Media Users in Public Health Emergencies Wen Xinyue　Cheng Huiping Journal of Information Resources Management    2022, 12 (2): 25-38.   DOI: 10.13365/j.jirm.2022.02.025 Abstract （899）      PDF（pc） （1249KB）（1129）       Knowledge map    Save To explore the influencing factors and mechanism of social media users’ information avoidance behavior in public health emergency, is great for providing reference path for better meeting users’ information needs and optimizing social media information environment. Taking the epidemic situation of COVID-19 as an example, college students with rich experience in using social media were selected as the research samples, and the data were obtained through in-depth interviews. Using the qualitative research method of grounded theory, this paper extracts concepts and categories, and constructs the influencing factors model of social media users’ information avoidance behavior under public health emergencies. In public health emergency, information overload and environmental factors indirectly affect social media users’ information avoidance behavior by stimulating users’ emotion, cognitive structure and risk perception; cognitive structure and risk perception directly affect social media users’ information avoidance behavior, and also stimulate users’ emotion; high wake-up emotion and low wake-up emotion in emotional factors can lead to different types of information avoidance behavior of social media users. Strong-ties social media and weak-ties social media have moderating effect in the impact of information overload on users’ emotion, cognitive structure and risk perception. Related Articles | Metrics | Comments（0）

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Misinformation Prevention and Control on Social Media: A Systematic Review Wang Xuening　Dong Qingxing　Song Zhijun　Zhang Bin Journal of Information Resources Management    2022, 12 (5): 102-113.   DOI: 10.13365/j.jirm.2022.05.102 Abstract （648）      PDF（pc） （1725KB）（1116）       Knowledge map    Save The prevention and control of misinformation on social media represent pressing concerns in the library and information field. The main aim of this study is to systematically review the current related studies and provide references for future research ideas. Based on the Information Ecology Theory, we provide a conceptual framework composed of three elements: information, information person, and information environment. Under each element, we delineate the prevention and control of misinformation into three stages: prevention before spreading, interruption during spreading, and correction after spreading. It finds that most researches focus on misinformation interruption, while little progress has been made in misinformation prevention. Additionally, misinformation correction studies generally aim at the description of phenomena and the analysis of rules, but few discuss engineering methods and practical applications. Future work should aim to prevent information based on its hazard, reduce the negative impact of the misinformation interruption strategies, develop new correction strategies and also verify the effect of their combinations to combat misinformation spreading. 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 （1071）      PDF（pc） （3562KB）（1062）       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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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 （520）      PDF（pc） （2531KB）（1058）       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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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 （616）      PDF（pc） （1561KB）（1058）       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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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 （973）      PDF（pc） （718KB）（1000）       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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Research on Emergency Resource Layout from the Perspective of Big Data Driving Yuan Yu　Fan Bo Journal of Information Resources Management    2022, 12 (3): 35-43.   DOI: 10.13365/j.jirm.2022.03.035 Abstract （675）      PDF（pc） （2740KB）（959）       Knowledge map    Save As an important driving force of the new round of technological revolution and management change, big data plays an important role in the process of emergency resource layout. This paper specifies the key contents and implementation process of big-data-driven emergency resource layout, including two kinds of emergency risk grid division based on historical data mining and real-time index calculation, emergency resource planning combining static layout based on administrative division and dynamical location based on spatial clustering, emergency resource demand calculation addressing demand of information accuracy and computing resource, and emergency resource reserve replenishment business processes and models. Big data technology has changed the management thinking and decision-making mode of emergency resource layout to meet the needs of emergency resource management in the data age. Related Articles | Metrics | Comments（0）

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Evaluation of Telemedicine Policies Based on PMC Index Model Zhai Yunkai　Guo Liuyan　Zhao Dongxiang　Lu Wei Journal of Information Resources Management    2022, 12 (2): 112-122,137.   DOI: 10.13365/j.jirm.2022.02.112 Abstract （1588）      PDF（pc） （5028KB）（910）       Knowledge map    Save The evaluation of the telemedicine policy text can provide theoretical support and decision-making basis for the scientific formulation, effective implementation, adjustment and optimization of telemedicine policies. First, the telemedicine-related policy texts were collected and preprocessed, the high-frequency words were extracted through text mining, the keywords co-occurrence network was generated, and a PMC index model consisting of 10 first-level indicators and 48 second-level indicators was constructed. Then, seven representative telemedicine policies in China were selected as samples for further analysis, by calculating the PMC index and drawing the PMC surface diagram to analyze the pros, cons and optimize path of various policies, and the policy comparison analysis is carried out by radar chart. It is find that the overall design of policy samples are relatively reasonable and can effectively promote the development of telemedicine. Finally, a series of recommendations for telemedicine policies were put forward: ①In the process of telemedicine policy formulation, the predictability should be increased and the corresponding supervision mechanism should be introduced; ②setting multi-stage goals in long-term planning and accelerating the formulation of a dedicated telemedicine policy technology roadmap; ③enriching incentives and restraints means and refining the incentive measures taken; ④the government should strengthen policy priorities, clarify policy objectives, broaden policy scope, enrich policy content, and improve the incremental effect of the policy on the development of telemedicine. 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 （442）      PDF（pc） （2030KB）（902）       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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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 （720）      PDF（pc） （1820KB）（886）       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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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 （473）      PDF（pc） （829KB）（832）       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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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 （920）      PDF（pc） （1298KB）（827）       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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The Academic Dialogue Journey in Case Study Research: Insights from the Information Systems Field Li Liang　Wang Mingxu Journal of Information Resources Management    2023, 13 (3): 112-123.   DOI: 10.13365/j.jirm.2023.03.112 Abstract （292）      PDF（pc） （2125KB）（803）       Knowledge map    Save In recent years, the case study method has been attached great importance and widely used in the domestic management academia. However, the development of domestic case studies was hindered by a number of typical problems that led to weak theoretical contributions. In order to address these problems, this paper argues that the researcher should carry on in-depth dialogues with literature, theory, phenomenon, methodology and self in conducting case study research. We analyze exemplary case studies from leading journals in the field of information systems and refine the aforementioned five aspects into nine specific academic dialogues. The “best practices” highlighted in these exemplary case studies provide researchers with rich and referential examples. Finally, we make some suggestions on how to improve the quality of domestic case studies. Related Articles | Metrics | Comments（0）

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Online Brand Community Users’ Interaction Behavior Transformation Mechanism for Value Co-creation：Based on Grounded Theory Le Chengyi　Zhu Xinya Journal of Information Resources Management    2023, 13 (3): 124-139.   DOI: 10.13365/j.jirm.2023.03.124 Abstract （455）      PDF（pc） （2271KB）（802）       Knowledge map    Save Companies use online brand communities to facilitate user interaction behaviors as a major path to value co-creation. Through in-depth interviews with 19 active community members, data were collected and programmatically coded using a grounded theory approach to construct a theoretical model of the transformation process and drivers of user interaction behavior. According to the extent of user participation in value co-creation in the community, user interaction behavior can be classified as human-machine interaction, human-human interaction and human-enterprise interaction. The transition from human-machine interaction to human-human interaction is mainly influenced by information quality, social experience and self-realization, while the transition from human-human interaction to human-enterprise interaction is mainly influenced by community incentive, social enhancement and symbiotic co-creation. And the driving factors of users’ behavioral transitions can be categorized into visceral layer, behavioral layer and reflective layer, with information quality and community incentives in the visceral layer playing a greater role in the early stages of each behavioral transition, while self-realization and symbiotic co-creation in the reflective layer having the most effective and longest driving role. The results provide a theoretical reference for an indepth understanding of the transformation mechanism of user interaction behaviors in online brand communities, as well as suggestions for enterprises to target the promotion of user interaction behaviors and value co-creation at different stages. Related Articles | Metrics | Comments（0）

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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 （648）      PDF（pc） （4166KB）（758）       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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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 （597）      PDF（pc） （6056KB）（744）       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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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 （577）      PDF（pc） （1976KB）（724）       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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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 （589）      PDF（pc） （1103KB）（711）       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）