摘要：
This paper explores the knowledge network structure of foreign research literature by applying the qualitative comparative analysis (QCA) method to the field of information science and library science (ISLS) from the perspective of the cocitation of social network actors such as authors, institutions, countries, and literature, and it further reveals the future application trends of this method. [Method/process] Based on 86 journals in the ISLS field that were downloaded from the Web of Science using the QCA method, the social network analysis (SNA) method and the visual analysis tool Gephi are used to analyse the author cooperation network, the research institution cooperation network, the national cooperation network, the cocitation network, the cutting-edge trends, etc., of journal papers. The analysis shows that the QCA method covers a wide range within the field of ISLS, but the research topics involved in this field are not concentrated, and the author cooperation network has scale-free characteristics. The application of the QCA method is still dominant in European and American countries, and China, the USA, and Italy all play key roles in the national cooperation network. Finally, the institutional cooperation network has certain small group attributes.
作者机构：
Center for Studies of Information Resources, Wuhan University;School of Information Management, Wuhan University;[Yujie Cao] School of Information Management, Central China Normal University;[Ruolan Liu; Gang Li; Jin Mao] Center for Studies of Information Resources, Wuhan University<&wdkj&>School of Information Management, Wuhan University
摘要：
Purpose: Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation. However, there is still a paucity of analysis about the essential characteristics of disciplines’ cross-disciplinary impact.Design/methodology/approach: In this study, we define cross-disciplinary impact on one discipline as its impact to other disciplines, and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact. The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications, and the balance and disparity of cross-disciplinary impact were measured as well. To demonstrate the cross-disciplinary impact of the disciplines in science, we chose Microsoft Academic Graph(MAG) as the data source, and investigated the relationship between disciplines’ cross-disciplinary impact and their positions in the Hierarchy of Science(HOS). Findings: Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure, and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines. Several bibliometric features that measure the hardness of a discipline, including the number of references, the number of cited disciplines, the citation distribution, and the Price index have a significant positive effect on the variety of cross-disciplinary impact. The number of references, the number of cited disciplines, and the citation distribution have significant positive and negative effects on balance and disparity, respectively. It is concluded that the less hard the discipline, the greater the cross-disciplinary impact, the higher balance and the lower disparity of cross-disciplinary impact.Research limitations: In the empirical analysis of HOS, we only included five broad disciplines. This study also has some biases caused by the data source and applied regression models.Practical implications: This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research, as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value: This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.
作者机构：
School of Information Management, Central China Normal University, Wuhan, Hubei, China;Jilin Railway Technology College, Jilin, China;[Xin Li] School of Business, Wuchang University of Technology, Wuhan, Hubei, China;[Hsu-Ling Chang] Department of Accounting, Ling Tung University, Taiwan;[Nan Su] School of Economics and Trade, Hubei University of Economics, Wuhan, 430205, China
通讯机构：
[Nan Su] S;School of Economics and Trade, Hubei University of Economics, Wuhan, 430205, China
摘要：
The study addresses the prevailing assumption within the literature, that abundant natural resources exacerbate environmental degradation. Despite significant exploration of this topic, our study introduces a unique angle by testing the robustness of the “Natural Resources Kuznets Curve” assumption. We analyze data spanning thirty years (1990–2020) from five different economies, and our results support the presence of the Kuznets Curve in these regions. This suggests that increased natural resource abundance correlates with decreased environmental degradation. Other important relationships we discover point to the beneficial role of digitalization in reducing environmental harm, while urbanization appears to intensify it. Based on our empirical results, policymakers should prioritize strategies that discourage the overexploitation of natural resources, foster digitalization, and advocate for sustainable urbanization practices to mitigate environmental damage. Our findings provide a broader perspective on the resource-environment nexus, urging future research in this direction for the development of effective, sustainable policies.
作者机构：
[Gao, Ying; Huang, Yanmei; Zhang, Qiang; Meng, Fanshuang] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Wang, Xiaoran; Zhang, Qiang; Tao, Wan] Anhui Polytech Univ, Sch Comp & Informat, Wuhu, Peoples R China.
通讯机构：
[Zhang, Q ] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;Anhui Polytech Univ, Sch Comp & Informat, Wuhu, Peoples R China.
关键词：
Tang tomb murals;Ontology;Knowledge graphs;Digital humanities;Geographic information systems
摘要：
Purpose
Currently, the Tang tomb mural cultural relic resources are presented in a multi-source and heterogeneous manner, with a lack of effective organization and sharing between resources. Therefore, this study aims to propose a multidimensional knowledge discovery solution for Tang tomb mural cultural relic resources.
Design/methodology/approach
Taking the Tang tomb murals collected by the Shaanxi History Museum as an example, based on clarifying the relevant concepts of Tang tomb mural resources and considering both dynamic and static dimensions, a top-down approach was adopted to first construct an ontology model of Tang tomb mural type cultural relics resources. Then, the actual case data was imported into the Neo4J graph database according to the defined pattern hierarchy to complete the static organization of knowledge, and presented in a multimodal form in knowledge reasoning and retrieval. In addition, geographic information system (GIS) technology is used to dynamically display the spatiotemporal distribution of Tang tomb mural resources, and the distribution trend is analysed from a digital humanistic perspective.
Findings
The multi-dimensional knowledge discovery of Tang tomb mural cultural relics resources can help establish the correlation and spatiotemporal relationship between resources, providing support for semantic retrieval and navigation, knowledge discovery and visualization and so on.
Originality/value
This study takes the murals in the collection of the Shaanxi History Museum as an example, revealing potential knowledge associations in a static and intelligent way, achieving knowledge discovery and management of Tang tomb murals, and dynamically presents the spatial distribution of Tang tomb murals through GIS technology, meeting the knowledge presentation needs of different users and opening up new ideas for the study of Tang tomb murals.
摘要：
DIGITAL HEALTH, Volume 10, Issue , January-December 2024. <br/>ObjectivesCyberchondria is increasingly recognized as the dark side of digital health, given the pervasive use of the internet as a main source of health information in people's daily lives. While previous studies have identified many factors contributing to cyberchondria, there is a dearth of research on the impact of health-related advertisements. Therefore, this study adopts the stressor–strain–outcome (SSO) model to investigate how health-related advertising interference is directly and indirectly related to cyberchondria.MethodsTo empirically validate the proposed research model, we conducted an online survey with 437 internet users with medical information seeking experience in China. Structural equation modeling (SEM) was employed to analyze the survey data.ResultsOur findings revealed a positive, direct association between health-related advertising interference and cyberchondria. Meanwhile, advertising interference was positively related to both information overload and information irrelevance, with the former further predicting cyberchondria. Moreover, doctor–patient communication weakened the positive effect of information overload on cyberchondria.ConclusionsThe study not only theoretically contributes to the literature by theorizing the relationship between health-related advertising interference and cyberchondria but also practically underlines the pivotal role of effective doctor–patient communication in reducing the development of cyberchondria.
期刊：
Information Processing & Management,2024年61(3):103649 ISSN：0306-4573
通讯作者：
Chi, MM
作者机构：
[Xia, Lixin; Zhai, Shanshan] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Chi, Maomao; Chi, MM] China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China.;[Chi, Maomao; Chi, MM] Wuhan Technol & Business Univ, Inst Digital Commerce, Wuhan 430065, Peoples R China.;[Li, Xuguang] Shandong Univ Technol, Sch Informat Management, Zibo 255000, Peoples R China.
通讯机构：
[Chi, MM ] C;China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China.;Wuhan Technol & Business Univ, Inst Digital Commerce, Wuhan 430065, Peoples R China.
关键词：
Configuration perspective;National natural science foundation of China;Youth program;Library and information science
摘要：
While extensive research has delved into various facets of science funding outputs and the determinants of funding approval, prevailing methodologies predominantly rely on descriptive statistics or regression analyses. These approaches often miss a holistic view that integrates the interplay of multiple influential factors. In this study, we leverage the scientific research productivity model to introduce the Institution-Capability-Demographics framework, encompassing three pivotal dimensions: institutional characteristics, individual capabilities, and individual demographics. Adopting a configuration perspective, we scrutinize the synergistic effects of these dimensions on the time-to-win in science funding applications. Our empirical analysis draws from data of 72 young scholars affiliated with the Youth Program for Library and Information Science (LIS) of the NSFC, all of whom secured funding between 2003 and 2019. Through the fuzzy-set qualitative comparative analysis (fsQCA), this study delineates four distinct mechanisms that expedite the application process for the NSFC's Youth Program: demographic-capability-institution synergy, capability-centric balance, demographic-capability harmony, and capability-institution equilibrium. The findings elucidate the intricate interdependencies of factors influencing the time-to-win in science funding, offering valuable guidance for science fund managers and fostering the growth of emerging scholars.
