International Journal of Information Management Data Insights最新文献

Exploring the bibliometric impact of artificial intelligence in radiology: An analytical approach 探索人工智能在放射学中的文献计量学影响：一种分析方法

International Journal of Information Management Data Insights Pub Date : 2025-10-02 DOI: 10.1016/j.jjimei.2025.100376

Bharti Chogtu , Ritheesh V , Ashwath K Naik , Shubhra Dutta , Santhosh KV

{"title":"Exploring the bibliometric impact of artificial intelligence in radiology: An analytical approach","authors":"Bharti Chogtu , Ritheesh V , Ashwath K Naik , Shubhra Dutta , Santhosh KV","doi":"10.1016/j.jjimei.2025.100376","DOIUrl":"10.1016/j.jjimei.2025.100376","url":null,"abstract":"<div><h3>Background</h3><div>Artificial intelligence (AI) is revolutionizing operations worldwide and is particularly transforming radiology. AI has a key role in enhancing diagnostic accuracy, workflow efficiency, and research output in radiology. This article presents a comprehensive bibliometric analysis of the influence of AI on radiology over five years (2018–2022).</div></div><div><h3>Methodology</h3><div>Reports published between 2018 and 2022 were identified through the Scopus database and categorized based on the AI methodologies employed. The study presents the volume and distribution of studies on AI, identifies publication patterns by country, and measures the impact of studies in terms of citation counts and field-weighted citation indices (FWCIs). Field-weighted view impact (FWVI), a field-normalized view metric that estimates the visibility of studies and the accessibility and engagement of AI studies in radiology, is used in this study.</div></div><div><h3>Results</h3><div>Compared with non-AI studies, the United States leads radiology-related AI publications, with AI-based articles having higher citation indices. The findings reveal a strong increasing trend for AI-related studies over the duration of the study. Moreover, open-access AI publications are found to have higher FWVI scores than subscription-based articles with greater visibility and higher readership.</div></div><div><h3>Conclusion</h3><div>This paper highlights the growing dominance of AI in radiology and how it is influencing trends in clinical development and research. Through publication increase, citation impact, and study availability, this paper provides informative insight into how AI radiology studies are developing.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100376"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding sustainable technologies use: The role of empowerment and cultural dimensions 理解可持续技术的使用：授权和文化维度的作用

International Journal of Information Management Data Insights Pub Date : 2025-09-28 DOI: 10.1016/j.jjimei.2025.100375

Catarina Neves , Tiago Oliveira , Stylianos Karatzas

引用次数: 0

Determinants of artificial intelligence adoption in the financial services industry: Understanding employees’ perspectives 金融服务业采用人工智能的决定因素：了解员工的观点

International Journal of Information Management Data Insights Pub Date : 2025-09-03 DOI: 10.1016/j.jjimei.2025.100371

Ahyar Yuniawan , Hersugondo Hersugondo , Fuad Mas'ud , Hengky Latan , Douglas W.S. Renwick

{"title":"Determinants of artificial intelligence adoption in the financial services industry: Understanding employees’ perspectives","authors":"Ahyar Yuniawan , Hersugondo Hersugondo , Fuad Mas'ud , Hengky Latan , Douglas W.S. Renwick","doi":"10.1016/j.jjimei.2025.100371","DOIUrl":"10.1016/j.jjimei.2025.100371","url":null,"abstract":"<div><div>This study examines the factors influencing AI adoption in Indonesia’s financial services sector, focusing on knowledge and awareness levels, perceived risks and benefits, self-confidence, and the moderating role of managerial support. Grounded in innovation diffusion theory (IDT), protection motivation theory (PMT), and self-determination theory (SDT), the study analyzes data from 489 employees using structural equation modeling with SmartPLS 4 software to test the hypotheses. The findings reveal that higher levels of knowledge and awareness, along with self-confidence, positively influence AI adoption intentions, while perceived risks and benefits exert a negative effect. Furthermore, managerial support moderates these relationships by enhancing the positive effects of knowledge and awareness levels and self-confidence, while mitigating the negative impact of perceived risks. These results emphasize the critical role of managerial support in promoting AI adoption and highlight the necessity of cultivating a supportive organizational culture and leadership to ensure successful AI integration.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100371"},"PeriodicalIF":0.0,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strengthening the UK regulatory framework: Enhancing cybersecurity in supply chains 加强英国监管框架：加强供应链的网络安全

International Journal of Information Management Data Insights Pub Date : 2025-09-02 DOI: 10.1016/j.jjimei.2025.100370

Betul Gokkaya , Konstantina Spanaki , Erisa Karafili

{"title":"Strengthening the UK regulatory framework: Enhancing cybersecurity in supply chains","authors":"Betul Gokkaya , Konstantina Spanaki , Erisa Karafili","doi":"10.1016/j.jjimei.2025.100370","DOIUrl":"10.1016/j.jjimei.2025.100370","url":null,"abstract":"<div><div>The increasing risks associated with cybersecurity in global supply chains present a significant problem, threatening the operational integrity and security of organisations on a global scale. The UK’s Network and Information Systems (NIS) Framework, although fundamental in cybersecurity regulation, has significant gaps in effectively addressing the complexities of contemporary global supply chain architectures entangled with quickly advancing cyber threats. In this work, we analyse the UK NIS framework, identify key gaps, and propose solutions drawn from other existing frameworks, e.g., US NIST, EU NIS2. We base this analysis on a comparative evaluation using defined criteria related to supply chain coverage, adaptability, and risk management specificity. We enhanced the cybersecurity in supply chains by proposing novel security requirements plans for each risk profile. Furthermore, we examined various solutions for risk assessments and self-risk assessments for supply chain security. We analysed practical risk assessment approaches, including self-assessment strategies, particularly suited for SMEs. Moreover, we investigated the contracting between supply chains in the context of data and information sharing.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100370"},"PeriodicalIF":0.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Retrieving and discovering new knowledge from documents' abstracts in scientific databases: Proposing a query-based abstractive summarization model 从科学数据库的文献摘要中检索和发现新知识：提出一种基于查询的抽象摘要模型

International Journal of Information Management Data Insights Pub Date : 2025-09-02 DOI: 10.1016/j.jjimei.2025.100366

Neda Abbasi Dashtaki , Mehrdad CheshmehSohrabi , Mitra Pashootanizadeh , Hamidreza Baradaran Kashani

{"title":"Retrieving and discovering new knowledge from documents' abstracts in scientific databases: Proposing a query-based abstractive summarization model","authors":"Neda Abbasi Dashtaki , Mehrdad CheshmehSohrabi , Mitra Pashootanizadeh , Hamidreza Baradaran Kashani","doi":"10.1016/j.jjimei.2025.100366","DOIUrl":"10.1016/j.jjimei.2025.100366","url":null,"abstract":"<div><div>Current search engines for Knowledge Retrieval (KR) and Knowledge Discovery (KD) do not effectively utilize scientifically validated documents, especially those indexed in scientific databases. Scientific databases e.g., Scopus primarily consist of document-based content and provide documents' abstract. Their Information Retrieval (IR) system only perform document searches and lack the capability to extract and discover new knowledge from documents' abstract in these databases and responding to users’ queries. The aim is to introduce a model that can efficiently perform these tasks. The statistical population for this study encompasses all scientific databases, with a particular emphasis on Scopus. To clarify the process of KR and KD as we define it, we employed a systematic review and meta-analysis framework using 33 queries. We conducted the identification, screening, eligibility, and inclusion steps following the PRISMA protocol. Next, we performed extraction, labeling, grouping, analysis, and inference. The outcome of these processes provided us with novel insights, which contribute to our exploratory knowledge. To automate these processes, we have proposed a conceptual model from query-based indirect abstractive summarization approach. The outcomes of this research offer fresh insights to database designers, administrators, and researchers, enabling the development of tools for KR and KD within these invaluable knowledge repositories. The integration of such tools into scientific databases will enhance user access to scientific knowledge to meet their informational and research needs.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100366"},"PeriodicalIF":0.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BAR-analytics: A web-based platform for analyzing information spreading barriers in news: Comparative analysis across multiple barriers and events BAR-analytics：一个基于web的平台，用于分析新闻中的信息传播障碍：跨多个障碍和事件的比较分析

International Journal of Information Management Data Insights Pub Date : 2025-09-02 DOI: 10.1016/j.jjimei.2025.100368

Abdul Sittar, Dunja Mladenić, Alenka Guček, Marko Grobelnik

{"title":"BAR-analytics: A web-based platform for analyzing information spreading barriers in news: Comparative analysis across multiple barriers and events","authors":"Abdul Sittar, Dunja Mladenić, Alenka Guček, Marko Grobelnik","doi":"10.1016/j.jjimei.2025.100368","DOIUrl":"10.1016/j.jjimei.2025.100368","url":null,"abstract":"<div><div>This paper presents BAR-Analytics, a web-based, open-source platform designed to analyze news dissemination across geographical, economic, political, and cultural boundaries. Using the Russian–Ukrainian and Israeli–Palestinian conflicts as case studies, the platform integrates four analytical methods: propagation analysis, trend analysis, sentiment analysis, and temporal topic modeling. Over 350,000 articles were collected and analyzed, with a focus on economic disparities and geographical influences using metadata enrichment. We evaluate the case studies using coherence, sentiment polarity, topic frequency, and trend shifts as key metrics. Our results show distinct patterns in news coverage: the Israeli–Palestinian conflict tends to have more negative sentiment with a focus on human rights, while the Russia–Ukraine conflict is more positive, emphasizing election interference. These findings highlight the influence of political, economic, and regional factors in shaping media narratives across different conflicts.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100368"},"PeriodicalIF":0.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The metaverse: Privacy and information security risks 虚拟世界：隐私和信息安全风险

International Journal of Information Management Data Insights Pub Date : 2025-08-30 DOI: 10.1016/j.jjimei.2025.100373

Héctor Laiz-Ibanez , Cristina Mendaña-Cuervo , Juan Luis Carus Candas

{"title":"The metaverse: Privacy and information security risks","authors":"Héctor Laiz-Ibanez , Cristina Mendaña-Cuervo , Juan Luis Carus Candas","doi":"10.1016/j.jjimei.2025.100373","DOIUrl":"10.1016/j.jjimei.2025.100373","url":null,"abstract":"<div><div>The advent of the metaverse—a convergence of physical and virtual realities catalyzed by a spectrum of emerging technologies—heralds a new epoch in the digital era. As the metaverse unfolds its immense potential, it simultaneously reveals unprecedented privacy and information security risks. Understanding these risks is paramount, as the pose significant implications for user safety, data integrity, and the overall trustworthiness of the metaverse. Consequently, this paper conducts a Systematic Literature Review (SLR) to meticulously analyze these emerging risks. Utilizing the Population, Intervention, Comparison, Outcomes, Context (PICOC) method, the review examines 735 articles from four databases, distilling essential insights from 35 key studies. The review identifies major challenges, including vulnerabilities in AI and IoT integration, threats from surveillance capitalism, and insufficient user education on privacy risks. To address these issues, the study proposes strategies such as holistic security frameworks, privacy-first design principles, and multi-stakeholder collaboration. These findings provide actionable insights for navigating the intricate dynamics of the metaverse, fostering a secure and privacy-conscious digital ecosystem. The study’s contributions aim to guide academic discourse, inform industry practices, and influence future policy development. The contributions from this research are intended to stimulate further academic discourse and influence future practices and policy in the context of the metaverse.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100373"},"PeriodicalIF":0.0,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144916510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A lightweight transfer learning based ensemble approach for diabetic retinopathy detection 基于轻量级迁移学习的集成方法在糖尿病视网膜病变检测中的应用

International Journal of Information Management Data Insights Pub Date : 2025-08-26 DOI: 10.1016/j.jjimei.2025.100372

S JAHANGEER SIDIQ, T BENIL

{"title":"A lightweight transfer learning based ensemble approach for diabetic retinopathy detection","authors":"S JAHANGEER SIDIQ, T BENIL","doi":"10.1016/j.jjimei.2025.100372","DOIUrl":"10.1016/j.jjimei.2025.100372","url":null,"abstract":"<div><div>Diabetic retinopathy (DR) is a fatal and irreversible eye disease that affects millions of people worldwide. It occurs due to high blood sugar level in the body of a diabetic patient, so it requires immediate attention which goes beyond the clinical solutions. With the advancements in deep learning and computer vision there are maximum possibilities of predicting this disease at early stages. Based on the severity of disease, different labels have been assigned to different classes of this disease as follows: 4 for proliferative DR, 3 for severe DR, 2 for moderate DR, 1 for mild DR and 0 for No DR. In this paper we proposed a deep learning-based ensemble approach using pre-trained and customized bi-class (CNN) base-learners like MobileNet, InceptionV3and DenseNet121 which were identified during initial investigation. These deep learning models were used as the base learner because of their promising performance in ensembles compared to the other deep learning base learners. All the work in the literature has studied this as a single complex multi-class problem or a bi-class problem where earlier stages are grouped together (0 to 3) and treated as one class and 4 as separate another class. Our work breaks this multi-class problem into multiple simpler two class problems using OVO(One-Versus-One) approach. Several benchmark data sets such as APTOS 2019, IDRiD, Messidor-2 and DDR which are multi-class data sets were used for training and testing our models. Data augmentation techniques were also utilized. Performance metrics such as precision, recall, f1-score, and accuracy were used for evaluation. Our ensemble models showed a remarkable performance with precision, recall, f1-score, and accuracy for most of the datasets used in this study. In addition to this our ensemble models have minimum number of trainable parameters which makes them an ultimate choice.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100372"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Content, formats and licensing of datasets from autonomous communities: Value generation, sustainability and proposals for improvement 自治区数据集的内容、格式和许可：价值产生、可持续性和改进建议

International Journal of Information Management Data Insights Pub Date : 2025-08-25 DOI: 10.1016/j.jjimei.2025.100369

Ricardo Curto-Rodríguez, Rafael Marcos-Sánchez, Daniel Ferrández

{"title":"Content, formats and licensing of datasets from autonomous communities: Value generation, sustainability and proposals for improvement","authors":"Ricardo Curto-Rodríguez, Rafael Marcos-Sánchez, Daniel Ferrández","doi":"10.1016/j.jjimei.2025.100369","DOIUrl":"10.1016/j.jjimei.2025.100369","url":null,"abstract":"<div><div>Open government data (OGD) initiatives, established at all levels of public administration and globally, have significant potential for value generation. However, their actual implementation often reveals significant shortcomings that hinder their potential for value creation. This study addresses a critical gap in the literature by evaluating the design of OGD policies in Spain, focusing specifically on the industrial sector at the autonomous community level. The research assesses the available data's content, formats, and licensing through a population-based analysis of all datasets labeled under the “industry” category across the 17 Spanish autonomous communities. The findings reveal a fragmented and inconsistent landscape: of over 46,000 datasets published by autonomous community governments, only 532 were initially labeled as industry-related, and after a rigorous selection process—removing duplicates, outdated records, and mislabeling entries—only 316 were deemed valid. The study highlights a predominance of non-reusable formats such as HTML and a lack of standardisation in the categorization of information. While most datasets use open licenses (mainly Creative Commons BY), the variability in download options and formats limits their automated processing and reuse. These results underscore the need for standardization criteria, improved data quality, and strategic alignment of OGD initiatives with sectoral priorities such as industrial competitiveness and sustainability. The paper concludes with four contributions to enhance coherence, usability, and impact of open industrial data, aiming to support OGD policymaking and foster innovation ecosystems at the autonomous community level.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100369"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Green research and development capacity and corporate environmental responsibility in the pursuit of green product innovation: a bibliometric analysis 追求绿色产品创新中的绿色研发能力与企业环境责任：文献计量学分析

International Journal of Information Management Data Insights Pub Date : 2025-08-20 DOI: 10.1016/j.jjimei.2025.100367

Jakeline Serrano-García , Juan José Arbeláez-Toro , José Daniel Cardona-Cárdenas , Frederic Marimon

{"title":"Green research and development capacity and corporate environmental responsibility in the pursuit of green product innovation: a bibliometric analysis","authors":"Jakeline Serrano-García , Juan José Arbeláez-Toro , José Daniel Cardona-Cárdenas , Frederic Marimon","doi":"10.1016/j.jjimei.2025.100367","DOIUrl":"10.1016/j.jjimei.2025.100367","url":null,"abstract":"<div><div>Considering the state of the art and to our knowledge, there have been no bibliometric studies analyzing the relationship between Green Research and Development (GR&DC) Capacity and Corporate Environmental Responsibility (CER) to promote green innovative products (GPI) and financial sustainability in manufacturing companies. This study aims at identifying behavioral patterns, scientific trends and future work regarding the association of the proposed topics. To perform the bibliometric analysis, 3,473 records from the Scopus database were collected. The VOSviewer software version 1.6.20 has been used and through it, a significant growth in the literature since 2012, has been observed. The results evidenced that China stands out as the lead country in document production, followed by the United Kingdom and India. 3,365 authors have contributed to knowledge. It is evident that China has the largest number of representing universities. Among the analyzed trends, the authors reveal that, the combination of GR&DC and CER drives the creation of GPI, improving financial sustainability through investments in green development, energy efficiency and emission reduction projects. It was identified that GPI integrates sustainable strategies that generate environmental value, improve organizational performance and strengthen competitiveness. Similarly, CER also plays a key role in improving the sustainability of manufacturing companies, promoting green innovation and financial strategies. Therefore, the results of this study offer scholars an understanding of the trends and critical points on the topics discussed, as well as the recommendations to continue a series of future research lines identified in this work.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100367"},"PeriodicalIF":0.0,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0