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：
[Bobo Liu; Zhiming Yuan] Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China;[Cui Huang] Wuhan Documentation and Information Center, Chinese Academy of Sciences, Wuhan, Hubei 430071, China;[Jingcheng Wu] Department of Health Science, Technology and Education, National Health Commission of the People’s Republic of China, Beijing 100088, China;[Tianchan Yi] School of Information Management, Central China Normal University, Wuhan, Hubei 430079, China
通讯机构：
[Zhiming Yuan] W;Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
关键词：
pathogen sharing;access and benefit sharing;international law
摘要：
The sharing of pathogens is of great significance for the continuous and comprehensive testing and monitoring of viral samples, vaccine and drug development, and the study of drug resistance and mutability of viral samples. This paper reviews the current legal framework in the field of pathogen sharing, analyzes existing issues, and proposes recommendations to improve the legal framework of pathogen sharing.
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.
期刊：
ISA Transactions,2024年147:304-327 ISSN：0019-0578
通讯作者：
Xiao, Xinping
作者机构：
[Chen, Rongxing] School of Science, Wuhan University of Technology, Wuhan 430070, China;[Xiao, Xinping] School of Science, Wuhan University of Technology, Wuhan 430070, China. Electronic address: xiaoxp@whut.edu.cn;[Gao, Mingyun] School of Information Management, Central China Normal University, Wuhan 430079, China;[Ding, Qi] School of Business, Nanjing University, Nanjing 210008, China
通讯机构：
[Xinping Xiao] S;School of Science, Wuhan University of Technology, Wuhan 430070, China
关键词：
Chimp optimization algorithm;Hard disk drive failure forecasting;Mixed data sampling;Mixed frequency sampling grey model
摘要：
The mixed data sampling (MIDAS) model has attracted increasing attention due to its outstanding performance in dealing with mixed frequency data. However, most MIDAS model extension studies are based on statistical methods or machine learning models, which suffer from insufficient prediction performance and stability in small sample environments. To solve this problem, this paper proposes a novel mixed frequency sampling discrete grey model (MDGM(1, N)), which is a coupled form of the MIDAS model and discrete grey multivariate model. By adjusting the structure parameters, the model can be adapted to different sampling frequencies data, and degenerate into several types of grey models. Then, the unbiasedness and stability of the model are proved using the mathematical analysis method and numerical random experiment. The meta-heuristic algorithm is introduced to obtain the optimal weight parameters and the maximum lag order, improving the model's fitting ability to mixed frequency data. To demonstrate the effectiveness of the new model, a model evaluation system consisting of traditional evaluation metrics and a monotonicity test is established. Taking four hard disk drive failure datasets as research cases, the performance of the proposed model is compared with seven mainstream benchmark models. The results show that the proposed model has excellent applicability and outperforms other competition models in terms of validity, stability, and robustness. Furthermore, it is observed that the reported uncorrectable errors and the command timeout have a greater impact on hard disk drive failure. Finally, the new model is employed to forecast the failure of four hard disk drives. The forecasting results indicate that in the next four time points with a cycle of 21 days beginning in April 2023, the failure of the smaller capacity hard disk drives (0055 and 0086, corresponding to 8TB and 10TB) show a decreasing trend, reaching 67.442% and 89.7683%, respectively. The failure of the other larger capacity hard disk drives (0007 and 0138, corresponding to 12TB and 14TB) has increased, with a growth rate of 17.1016% and 123.7899%.
作者机构：
[Fangfang Ren; Hua Meng] School of Information Management, Central China Normal University, Wuhan 430079, China;Hubei Electronic Commerce Research Center, Wuhan 430079, China;Author to whom correspondence should be addressed.;[Xuelin Wang] School of Information Management, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.;[Xinyuan Lu] School of Information Management, Central China Normal University, Wuhan 430079, China<&wdkj&>Hubei Electronic Commerce Research Center, Wuhan 430079, China
通讯机构：
[Xuelin Wang] S;School of Information Management, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
gamified interactions;users’ green value co-creation behaviors;emotional energy;relational distance
摘要：
To achieve the “double carbon” goal, green value co-creation has been paid more and more attention. However, the role of users in green value co-creation, which is a vital aspect, could be overlooked. Understanding the internal mechanism between gamified interactions and users’ green value co-creation behaviors is crucial to motivating users’ green value co-creation behaviors. This study collected data from 410 Ant Forest users by adopting a questionnaire survey. Subsequently, this study investigated the influence mechanism of gamified interactions on users’ green value co-creation behaviors. The findings demonstrate that interactivity, cooperation, and competition are gamified interactions that positively affect users’ green value co-creation behaviors. Emotional energy acts as a mediator between gamified interactions and users’ green value co-creation behaviors. No relational distance was found to moderate the effect of gamified interactions on emotional energy. This study contributes to the current understanding of the relationship between gamified interactions and users’ green value co-creation behaviors within the “double carbon” context. Furthermore, it offers theoretical guidance for Internet enterprises to enhance users’ green value co-creation behaviors through gamified interactions.
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：
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.
摘要：
OBJECTIVES: Cyberchondria 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. METHODS: To 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. RESULTS: Our 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. CONCLUSIONS: The 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.
