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    An Analysis for Precursory Variables of Core Variables of Technology Acceptance Model (TAM)
    Zhang Liyi Zhang Ran
    Journal of Information Resources Management    2015, 5 (2): 11-20.   DOI: 10.13365/j.jirm.2015.02.011
    Abstract4662)      PDF(pc) (931KB)(14400)       Save

    Technology acceptance model has been widely verified and applied since it was putf orward by Davis in 1986. To improve the model, a mass of antecedents of core variables of TAM model are evolved. In this paper, these antecedents are classified by origins and objects. The relationships between the antecedents and core variables are analyzed. Last, some discussions and suggestions have been given on future researches for themodification of technology acceptance model.

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    Cited: Baidu(1)
    Research Progress in the Application of Flow Theory Abroad
    Jiang Tingting,  Chen Peilong Xu Yanrun
    Journal of Information Resources Management    2021, 11 (5): 4-16.   DOI: 10.13365/j.jirm.2021.05.004
    Abstract3971)      PDF(pc) (1703KB)(10480)       Save
    Flow refers to the holistic sensation that people feel when they act with total involvement. Related research of flow mainly focuses on the fields of education, computer and business administration, and has not been widely used in information behavior research. This study conducted a systematic review on 78 empirical studies that applied the flow theory. According to the research framework, those empirical studies were divided into three categories: the antecedents that affect the flow experience, the flow consequences triggered by the flow experience, and the mediating effects of flow experience between the antecedents and consequences. Combined with Person-Artifact-Task (PAT) model, this study summarized the related studies and elaborated on the practical enlightenment that flow can bring to real life, actively considered possible breakthroughs in flow measurement methods, and provided a clear and systematic approach to the application of flow theory to information behavior research.
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    Review and Progress in Research on Credibility Evaluation of Information on the Web
    Wang Ping Cheng Qikai
    Journal of Information Resources Management    2013, 3 (1): 46-52.  
    Abstract3271)      PDF(pc) (1079KB)(9616)       Save

    Users’ demand on information access, management and service quality becomes increasingly strong because of the rapid growth of information resources on the web; the credibility evaluation of the web-based information has attracted the attention of scholars. We sort out and commented the theory, methods and applications of credibility evaluation of web-based information respectively,and propose recommendations for web-based information credibility evaluation research, and looking to the future research development direction.

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    Cited: Baidu(6)
    An Experimental Study on the Effects of Social Media and User’s Anxiety
    Liu Luchuan Zhang Bingqian Li Xu
    Journal of Information Resources Management    2019, 9 (2): 66-76.   DOI: 10.13365/j.jirm.2019.02.066
    Abstract4312)      PDF(pc) (2358KB)(8216)       Save

    The development of social media is facing the problem of users’ negative emotions and passive behaviors today, while the traditional theory of continuous use of information systems could not sufficiently explain the problem in question. Based on the overload perspective, this paper constructed the theoretical model of the influencing factors of social media users' anxiety from four dimensions: information redundancy, information authenticity, system usability and system diversity. In this study, we used the anxiety scale of clinical medicine, and designed a user psychology experiment to analyze the relationship between the four social media characteristics and the level of users’ anxiety. The study found that when users using social media, their anxiety was significantly higher when they perceived information redundancy and false information. The impact of system functional factors on social media users’ anxiety is not as significant as information factors. This study laid a significant theoretial foundation for a comprehensive understanding of social media users’negative emotions, providing guidence for the users’psychological counseling and intervention.

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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
    Abstract2776)      PDF(pc) (934KB)(8178)       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.
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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
    Abstract3734)      PDF(pc) (2464KB)(7448)       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.
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    Research on MIMIC-III Electronic Medical Record Dataset and Its Mining
    Chen Jing Li Baoping
    Journal of Information Resources Management    2017, 7 (4): 29-37.   DOI: 10.13365/j.jirm.2017.04.029
    Abstract5303)      PDF(pc) (989KB)(7156)       Save

    In order to understand the content and the research and utilization of a typical and open source medical database in the United States-the Medical Information Mart for Intensive Care, also called MIMIC, this paper systematically investigates the content of the MIMIC dataset and analyzes the literatures about the research of the MIMIC dataset in the Web of Science, respectively from number of documents, nations, institutions, research topics and research methods. It is found that the research and utilization of MIMIC dataset are in the ascending period, and its research depth and breadth are insufficient. Universities and medical companies in China should strengthen their researches and utilization on MIMIC dataset. The research topics focus on the prediction of prognosis and mortality of ICU patients, and researchers may explore more research topics. Data mining methods mainly focus on the general machine learning and statistical analysis methods, while mining methods with stronger pertinence need to be proposed.

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    The Evolution and Prospect of the Application Field of Social Presence Theory

    Zhang Yihan Yuan Qinjian
    Journal of Information Resources Management    2020, 10 (1): 82-.   DOI: 10.13365/j.jirm.2020.01.082
    Abstract1736)      PDF(pc) (6399KB)(7055)       Save

    The purpose of this study is to help scholars sort out and clarify the evolution of the main application fields of the social presence theory and its application status in different fields. This study conducted a detailed search and literature review of the studies that using social presence theory, systemically summarized the main application fields of social presence theory, the evolution of the main application fields and its application status, proposed the existing shortcomings, the future research directions and appliaction fields. It is found that the communication field is social presence theory’s birthplace and its earliest application field. Later, it gradually expanded into the field of online learning and its application in this field is relatively mature. The e-commerce is a rising star in all application fields, and its application in human-computer interaction is enduring and has a better outlook with the artificial intelligence boom. There are some shortcomings in existing researches, such as, the research on emerging communication methods is not enough, and there is no conclusion that uniform regularity is formed, the attention to the mobile terminal is not enough, and so on. Mobile learning performance, the design and optimization of mobile end systems and platforms, social e-commerce, AI applications, new crossing areas etc. are important topics and fields for the future application of social presence theory.

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    A Review of Research on Elderly-oriented Digital Products: Demand Mining, Obstacle Analysis and Optimal Design
    Lin Yuqin Zhao Yang Liu Wanting Wang Lin
    Journal of Information Resources Management    2024, 14 (4): 146-160.   DOI: 10.13365/j.jirm.2024.04.146
    Abstract762)      PDF(pc) (4159KB)(6836)       Save
    The "digital divide" exacerbated by the simultaneous development of population aging and social digitization has become increasingly severe, prompting a focus on the research and design of elderly-oriented digital products within both industry and academia. Using a systematic review approach, this study analyzes 348 research articles on elderly-oriented digital product design indexed in CNKI and Web of Science from 2014 to 2023. It explores the research progress and developing trend of the demand mining, usage obstacles, and optimal design of digital products for elderly users. The findings reveal that research on elderly users' needs mainly focuses on the three levels of material, emotional and spiritual needs, with significant focus on sensory barriers, cognitive barriers, behavior barriers and psychological barriers in product usage. The study investigates elderly-oriented design through various lenses, including design standards, optimization countermeasures, and usability testing. Future research should further consider the evolving nature of digital products and demographic trends by enhancing the methods for sample collection, innovating research methodologies, and expanding the content of studies. The findings of this study provide valuable references for identifying research priorities in elderly-oriented digital product adaptation, spotlighting emerging areas, advancing theoretical frameworks, and also offer practical insights for the proactive development of an age-friendly digital society.
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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
    Abstract1556)      PDF(pc) (1084KB)(5746)       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.
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    Review of Corpus Research in China
    Huang Shuiqing Wang Dongbo
    Journal of Information Resources Management    2021, 11 (3): 4-17.   DOI: 10.13365/j.jirm.2021.03.004
    Abstract4761)      PDF(pc) (1624KB)(5723)       Save
    With the in-depth development of big data and artificial intelligence technology, corpus research has received more and more attention. From the collection of language materials for linguistic research to the in-depth annotation knowledge resources supporting knowledge mining and discovery, the depth and breadth of the corpus related research have also been fully explored. This article takes the domestic journal literature as the object. First, we analyze the publishing trend of domestic corpus research, the author's cooperation and the research hotspots of different eras from a quantitative perspective. Secondly, we discuss the processes and methods of the construction and annotation of domestic corpus from a qualitative perspective. We explain the application status of corpus including the fields of language teaching, information retrieval, etc. Finally, we comprehensively discuss various representative corpus in China, and summarize the construction and development characteristics.
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    Research on Assessment of Answer Quality in Social Q&A Platform
    Jia Jia Song Enmei Su Huan
    Journal of Information Resources Management    2013, 3 (2): 19-28.  
    Abstract3479)      PDF(pc) (2470KB)(5239)       Save

    Social Q&A platform in Web2.0 has experienced a rapid development through the manner of collaboration. As the social Q&A platform has accumulated considerable amount of questions and answers, the quality of answers is increasingly becoming an issue of concern. Based on the assessment of answers quality in social Q&A, this paper aims to understand the current level and problems of domestic social Q&A, hoping to make a useful reference for the development of such platform.

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    Research on the Construction of Quality Evaluation Model of Micro-blog Information
    Mo Zuying Ma Feicheng Luo Yi
    Journal of Information Resources Management    2013, 3 (2): 12-18.  
    Abstract2525)      PDF(pc) (1371KB)(5185)       Save

    Micro-blog information has a characteristic of fragmentation, and the problem of its information redundancy is worrying. How to evaluate the quality of micro-blog information and filter the inferior quality information is a problem urgently to be solved in the development of micro-blog. This article constructs the evaluation index system of the quality of micro-blog information from the quantity of information, quality of information content, quality of information source and information utilization. It sets the index weight based on analytic hierarchy process and questionnaire survey, and constructs the quality evaluation model of micro-blog information. This research provides a theoretical framework for the implementation of quality evaluation of micro-blog information.

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    Cited: Baidu(8)
    Users’ Information Behavior from the Perspective of Metaverse:Framework and Prospect
    Wu Jiang Cao Zhe Chen Pei He Chaocheng Ke Dan
    Journal of Information Resources Management    2022, 12 (1): 4-20.   DOI: 10.13365/j.jirm.2022.01.004
    Abstract2394)      PDF(pc) (3218KB)(5046)       Save
    The metaverse is a digital society of the ternary world, in which people participate in the integration of virtuality and reality with a digital identity. From the perspective of the metaverse, the virtual and reality have been deeply integrated. Accordingly, information has a richer production and representation form, and users have new demands and experiences. It is noted that there exist both similarities and differences in users’ information behaviors between the metaverse and traditional environments. Specifically, from the perspective of the metaverse, the research on users’ information behaviors can be based on the existing theories and combined with the characteristics of the new environment. It can be carried out from the three dimensions of the user, information, and technology to achieve more effective information resource management and user behavior understanding, so as to promote the application promotion and risk management of the metaverse.
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    Value Co-Creation Theory and Its Application and Prospect in the Field of Information System Research
    Zhou Yusheng Yuan Qinjian
    Journal of Information Resources Management    2021, 11 (6): 17-26.   DOI: 10.13365/j.jirm.2021.06.017
    Abstract1758)      PDF(pc) (1205KB)(4933)       Save
    To clarify the origin and development of value co-creation theory and its application progress in the field of information systems to provide insights for scholars who need to apply value co-creation theory in the field of information systems, this paper reviews and summarizes the application of value co-creation theory in the field of information systems, and summarizes the current research achievements, existing problems, and future research directions. The application of value co-creation theory in information system research mainly includes five aspects: information system design, information technology service innovation, consumers’ online participation in enterprise value co-creation, online information/knowledge sharing behavior, and online word-of-mouth and consumer purchase intention. In the meantime, there were still some undefined problems in the existing research, including “lack of research on the effect of cultural factors on value co-creation” and “lack of support from behavioral data”. Moreover, the future direction should pay more attention to the effect of cultural differences on value co-creation, consumers’ actual value co-creation behavior, and user value co-creation in different types of social platforms.
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    The Status Quo and Hot Spot Analysis of Smart Elderly Care
    Wang Jian Zhang Yue Zhu Qinghua
    Journal of Information Resources Management    2019, 9 (1): 10-20,29.   DOI: 10.13365/j.jirm.2019.01.010
    Abstract3303)      PDF(pc) (3027KB)(4883)       Save

    With CNKI and Web of Science as data sources,this paper analyzes the status quo of domestic and international field of smart elderly care via scientific measurement, visualization analysis and summarize study from the dimensions of the number of papers,author relationship, research institute and research hotspot combined with classical laws of bibliometrics,and discusses from three aspects of concept, technology and product.The results show that domestic research of smart elderly care focuses on the pension model, the pension system, the pension industry and the pension products, while the international research focuses on sensor technology and equipment, pathology and life research of the elderly, and emphasises on technology and function research.

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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
    Abstract1070)      PDF(pc) (1232KB)(4730)       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.
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    The Mode of Automatically Crawling Web Data and its Open Source Solutions for Researchers
    Zhang Tingting Liu Kai Wang Weijun
    Journal of Information Resources Management    2015, 5 (2): 21-27.   DOI: 10.13365/j.jirm.2015.02.021
    Abstract2068)      PDF(pc) (833KB)(4708)       Save

    In Big Data era, the quantity and quality of data which usually determines the quality of research findings as well as the whole project’s success is becoming the key factor in scientific competition. However, taking the issue of automatically crawling web data into consideration, there is not yet a systematic academic research. To address this issue, this paper carries out an analysis of the basic patterns that web crawling emerges and presents four basic web crawling modes of researchers: single site static crawl mode, cross-site static crawl mode, single site dynamic crawl mode and cross-site dynamic crawl mode. In the meantime, this paper introduces two kinds of method to solve the problem based on the architecture of open source: the open-source crawlers and researchers’ own custom reptile. Finally, this paper gives a detailed discussion of the software architecture and the basic code of each solution.

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    Cited: Baidu(1)
    Construction and Development of Digital Archives in China in the Era of Big Data
    Zhou Yaolin Zhu Qian
    Journal of Information Resources Management    2015, 5 (2): 108-封三.   DOI: 10.13365/j.jirm.2015.02.108
    Abstract2080)      PDF(pc) (722KB)(4703)       Save

    Based on analysis on historical development of digital archives construction, this paper sums up illustrations about achievements and deficiencies about it. With that result, together with combination of digital archives construction development trend in the era of big data, regarding to ecological, socialized, specialized, intelligent and better educated, the paper ends up with suggestions to make a stride in the future, which consist of overall planning, cooperation mechanism, personnel structure, technology adoption and resources organization.

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    Cited: Baidu(1)
    Empirical Study on the Effects of Perceived Value and Social Influence on User Loyalty for Social Networking Sites
    Gu Rui OH Lih-Bin Wang Kanliang
    Journal of Information Resources Management    2013, 3 (1): 10-21.  
    Abstract2694)      PDF(pc) (1567KB)(4475)       Save

    Social networking service (SNS) has attracted a large number of users because of its ability to provide personalization and socialization. However, SNS providers are facing the critical issue of the decrease in both user base and usage rate due to severe competition. Hence, it is of paramount importance for SNS providers to keep their websites sticky and to develop user loyalty. This study proposed a research model of SNS user loyalty comprising of perceived utilitarian value, hedonic value, and social influence as the antecedents. Data on 289 SNS users were collected and empirically analyzed using factor analysis and structural equation modeling method. It was found that both perceived utilitarian and hedonic value have significantly positive impact on user satisfaction and loyalty, and social influence significantly and positively impacts user loyalty. Lastly, discussion of research findings and implications for SNS providers, as well as suggestions for future research are provided.

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    Cited: Baidu(2)
    A Review of Private Paradox Research Abroad
    Liu Ting Deng Shengli
    Journal of Information Resources Management    2018, 8 (2): 104-112.   DOI: 10.13365/j.jirm.2018.02.104
    Abstract2901)      PDF(pc) (1086KB)(4448)       Save

    This paper selects and summarizes the articles about the privacy paradox in overseas, and make a comprehensive and systematic review. Based on the articles about privacy paradox which were included in Web of Science and related citation papers, this paper has a detailed analysis of empirical research, interpretation and coping strategies using the method of content analysis. Finally, the shortcomings of the existing research results are summarized and the future research is prospected.

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    Current Situation and Progress Strategy of the Memory of the World
    Zhou Yaolin Huang Lingbo Wang Qianqian
    Journal of Information Resources Management    2014, 4 (2): 4-13.   DOI: 10.13365/j.jirm.2014.02.004
    Abstract2765)      PDF(pc) (1342KB)(4402)       Save

    Memory of the World appeared in the international context that documentary heritage of high value was on the edge of disappearance or destruction. In the past 20 years, Memory of the World has won itself a golden reputation with tremendous contribution in the field of heritage protection as follows:putting forward and promoting the consciousness of documentary heritage protection, building a unique archives safeguard system, and setting up special fund and database for the project. Nevertheless, defects still exist. For instance, the uneven involvement among regions and countries, insufficient propaganda work, the lack of cooperation between countries and the weakness in information construction can be found in the duration. Given all of the above, the authors explore to develop it further from the perspectives of coordinating regional development, strengthening the propaganda work and cooperation between countries, improving the level of information construction.

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    Cited: Baidu(1)
    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
    Abstract1989)      PDF(pc) (2651KB)(4265)       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).
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    Archives and Collective Memory in New Media Age
    Ma Linqing
    Journal of Information Resources Management    2014, 4 (2): 101-105.   DOI: 10.13365/j.jirm.2014.02.101
    Abstract2614)      PDF(pc) (854KB)(4253)       Save

    New media technology changes the way of communication, and also the methods, media and content of collective memory. The article proposes the opportunities and challenges collective memory facing in new media age, evaluates the importance of archives in construction of collective memory, and explores the way of building archives memory in new media age.

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    Cited: Baidu(2)
    Overviews on Information Dissemination and Disappearance for Online Rumor
    Jia Shuo Zhang Ning Shen Hongzhou
    Journal of Information Resources Management    2019, 9 (3): 62-72.   DOI: 10.13365/j.jirm.2019.03.062
    Abstract1754)      PDF(pc) (1775KB)(4068)       Save
    This paper used literature review method to overviews studies of the definition, characteristics, diffusion models,detection and dispersion mechanism of online rumors source from the CNKI and Web of Science. We summarize the existing research findings and limitations. “Universal online rumor diffusion models”, “efficient rumor detection scheme”,“self-disappearance mode of online rumors for China”, “new refutation mechanism of online rumors in big data environment” are key points for domestic future research based on the research results.
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    Mixed-Methods of Measuring User Experience in Information Interaction
    Fang Yuling Deng Shengli Yang Lina
    Journal of Information Resources Management    2015, 5 (1): 38-43.   DOI: 10.13365/j.jirm.2015.01.038
    Abstract2417)      PDF(pc) (794KB)(3852)       Save

    The paper analyses both the pragmatic and hedonic aspects of user experience in information interactions under the new situation. Methods used to measure user experience are described, which included self-report measures, the behavioral data and the physiological data that is comparatively new. Finally the application of mixed-methods approach to measuring user experience is discussed on the basis of document analysis.

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    Cited: Baidu(3)
    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
    Abstract1715)      PDF(pc) (1011KB)(3791)       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.
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    Empirical Research on Social Media Privacy Policy and User Self-disclosure: A Moderated Intermediary Model
    Yuan Xiangling Niu Jing
    Journal of Information Resources Management    2021, 11 (1): 49-58.   DOI: 10.13365/j.jirm.2021.01.049
    Abstract1799)      PDF(pc) (1778KB)(3756)       Save
    Based on the APCO theoretical model of privacy concerns and integrating the theory of privacy calculations, the research examines the impact mechanism of social media users’ privacy policy (including the understanding of privacy policy and the perception of effectiveness) on self-disclosure.We collected 579 effective questionnaires from social media users,and SPSS was used to analyze data.The research finds that social media trust has a mediating effect between privacy policy perception and self-disclosure. Privacy computing cost plays a moderating role between privacy policy perception and social media trust. When users' perception of privacy computing cost is low, privacy policy perception will promote self-disclosure through social media trust. This study finds that the influence path of privacy policy and self-disclosure is not a simple linear model, but a complex, multi-linear mediated effect model for the first time. The research results have a certain explanatory role in understanding the influence mechanism of privacy policy on self-disclosure and can further enrich the APCO.
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    The Research of Undergraduate WeChat User’s Information Sharing Behavior and Influence Factors
    Fu Ping Meng Wei
    Journal of Information Resources Management    2015, 5 (4): 105-111.   DOI: 10.13365/j.jirm.2015.04.105
    Abstract2962)      PDF(pc) (1007KB)(3698)       Save

    The development of mobile Internet has further changed people’s information dissemination modes, while “Strong relationship”, “Decentralization”and “User thinking” have deconstructed the original oneway social structure. Based on the Lasswell’s “5W” theory, taking questionnaires, this paper explores the information sharing behavior of undergraduates from undergraduates’ usage, sharing frequency and sharing content. It also studies undergraduate WeChat users’ information sharing behavior and influence factors in the features of communicators,products, sharing motivation and environment. This research finds that undergraduate WeChat user’s information sharing behavior is due to interaction of the internal and external factors. This paper can help media understanding the users’ habits and preferences,to further improve the level of service provided.

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    A Review of Research on Online Reviews Information Mining
    Fang Wenmin Zhang Ning Han Yanyan
    Journal of Information Resources Management    2016, 6 (1): 4-11.   DOI: 10.13365/j.jirm.2016.01.004
    Abstract2624)      PDF(pc) (1147KB)(3680)       Save

    The online reviews have become the important information source of consumers making purchase decisions in the current online shopping mode. However, the rapid accumulation of reviews is an unprecedented challenge for consumers in the process of information processing and using, which makes the research value and practical value of text mining technology more and more prominent. We try to do systematic and comprehensive review on online review information mining on the basis of related literatures in recent years, summarizing three mainstream research methods of online review information mining: information extraction, sentiment analysis, text categorization and the commercial application of the research conclusions. Finally, we point out the future research direction based on the current online review information mining research. 

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    Cited: Baidu(1)