International Journal of Information Management Data Insights最新文献_第3页

MultiBanFakeDetect: Integrating advanced fusion techniques for multimodal detection of Bangla fake news in under-resourced contexts MultiBanFakeDetect：整合先进的融合技术，在资源不足的情况下对孟加拉语假新闻进行多模式检测

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-06-18 DOI: 10.1016/j.jjimei.2025.100347

Fatema Tuj Johora Faria , Mukaffi Bin Moin , Zayeed Hasan , Md. Arafat Alam Khandaker , Niful Islam , Khan Md Hasib , M.F. Mridha

{"title":"MultiBanFakeDetect: Integrating advanced fusion techniques for multimodal detection of Bangla fake news in under-resourced contexts","authors":"Fatema Tuj Johora Faria , Mukaffi Bin Moin , Zayeed Hasan , Md. Arafat Alam Khandaker , Niful Islam , Khan Md Hasib , M.F. Mridha","doi":"10.1016/j.jjimei.2025.100347","DOIUrl":"10.1016/j.jjimei.2025.100347","url":null,"abstract":"<div><div>The rise of false news in recent years poses significant risks to society. As misinformation spreads rapidly, automated detection systems are essential to mitigate its impact. However, most existing methods rely solely on textual analysis, limiting their effectiveness. The challenge is further compounded by the lack of a large-scale, multimodal dataset for Bangla fake news detection, as existing datasets are either small or unimodal. To address this, we introduce <strong>MultiBanFakeDetect</strong>, a novel multimodal dataset integrating both textual and visual information. This dataset comprises manually curated real and fake news samples from various online sources. Additionally, we propose <strong>MultiFusionFake</strong>, a hybrid multimodal fake news detection framework that fuses text and image modalities using an Early Fusion approach while also comparing Late and Intermediate fusion techniques. Our experiments show that MultiFusionFake, combining DenseNet-169 and mBERT, achieves 79.69% accuracy, outperforming the text-only mBERT model’s 73.13%, reflecting a 6.56 percentage point improvement. These results underscore the advantages of multimodal over unimodal methods. To the best of our knowledge, this is the first study on multimodal fake news detection in the under-resourced Bangla context, offering a promising approach to combating online misinformation.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100347"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307293","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 : 2025-12-01 Epub 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":"2025-12-01","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

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 : 2025-12-01 Epub 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":"2025-12-01","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

AI literacy and e-entrepreneurial intention: A serial mediation model of e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration 人工智能素养与电子创业意向：电子创业自我效能感与电子创业身份渴望的序列中介模型

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-06-16 DOI: 10.1016/j.jjimei.2025.100349

Cong Doanh Duong

{"title":"AI literacy and e-entrepreneurial intention: A serial mediation model of e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration","authors":"Cong Doanh Duong","doi":"10.1016/j.jjimei.2025.100349","DOIUrl":"10.1016/j.jjimei.2025.100349","url":null,"abstract":"<div><div>The rapid integration of artificial intelligence in education and entrepreneurship highlights the importance of artificial intelligence literacy as a foundational skill for fostering entrepreneurial intentions in the digital economy. This study applies the stimulus-organism-response framework to examine how artificial intelligence literacy influences e-entrepreneurial intention through the mediating roles of e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration. Data were collected from 504 undergraduate students at leading universities in Vietnam, using a stratified sampling approach. The results demonstrate that artificial intelligence literacy significantly enhances e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration, which are essential psychological mechanisms for driving entrepreneurial intention. Notably, the direct relationship between artificial intelligence literacy and e-entrepreneurial intention was not significant, emphasizing the importance of psychological pathways. The findings also reveal a serial mediation effect, where artificial intelligence literacy influences e-entrepreneurial intention sequentially through e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration. This research advances the theoretical understanding of the link between technological literacy and entrepreneurial behavior, particularly in the context of e-entrepreneurship. It expands the application of the stimulus-organism-response framework to entrepreneurial studies, offering a robust explanation of the mechanisms underlying the formation of entrepreneurial intention. Practically, educational institutions and policymakers should focus on enhancing artificial intelligence literacy while fostering self-efficacy and identity aspiration to promote entrepreneurial engagement among students.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100349"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144296877","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 Novel Named Entity Recognition approach of Indonesian fake news using part of speech and BERT model on presidential election 基于词性和BERT模型的印尼总统选举假新闻命名实体识别方法

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-07-14 DOI: 10.1016/j.jjimei.2025.100354

Puji Winar Cahyo , Ulfi Saidata Aesyi , Widodo Agus Setianto , Tatang Sulaiman

{"title":"A Novel Named Entity Recognition approach of Indonesian fake news using part of speech and BERT model on presidential election","authors":"Puji Winar Cahyo , Ulfi Saidata Aesyi , Widodo Agus Setianto , Tatang Sulaiman","doi":"10.1016/j.jjimei.2025.100354","DOIUrl":"10.1016/j.jjimei.2025.100354","url":null,"abstract":"<div><div>Fake news often spreads rapidly and can mislead readers, which makes it important to approach such information with caution. In text-based information, content extraction can be used to determine the meaning and intent of the message. Therefore, this research aims to develop a novel approach for entity detection in Indonesian-language fake news texts by applying BiLSTM-CRF, BiGRU, and BERT models. The novelty of this study lies in the integration of Part-of-Speech (PoS) tagging before processing words for entity detection. Words tagged as Noun (NN) and Proper Noun (NNP) are transformed into entity labels such as ORG for organizations, PER for people, and LOC for locations. Meanwhile, words labeled as Verb (VB) are converted into the ACT entity to represent actions. Evaluations were conducted by integrating PoS tagging with entity detection using the BiLSTM-CRF model, which achieved an F1-Score of 81.26%. The BiGRU-based model achieved an F1-Score of 79.46%, while the BERT-based model achieved the highest F1-Score of 87.38%. These results demonstrate that the BERT model, when combined with PoS tagging, provides the best performance and can effectively be used to detect entities in fake news. The entity detection process was further applied to identify fake news during the 2024 Indonesian presidential and vice-presidential election period. By counting the number of mentions of each candidate and their running mate labeled as PER entities, it has result the Prabowo Subianto–Gibran Rakabuming Raka pair appeared in 49 fake news articles. This was followed by the Ganjar Pranowo–Mahfud MD pair with 14 fake news articles, and the Anies Baswedan–Muhaimin Iskandar pair with 13 articles. All identified data have been filtered to retain only unique entries.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100354"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631524","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

ABERT: Adapting BERT model for efficient detection of human and AI-generated fake news BERT：采用BERT模型有效检测人工和人工智能生成的假新闻

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-07-14 DOI: 10.1016/j.jjimei.2025.100353

Jawaher Alghamdi , Yuqing Lin , Suhuai Luo

{"title":"ABERT: Adapting BERT model for efficient detection of human and AI-generated fake news","authors":"Jawaher Alghamdi , Yuqing Lin , Suhuai Luo","doi":"10.1016/j.jjimei.2025.100353","DOIUrl":"10.1016/j.jjimei.2025.100353","url":null,"abstract":"<div><div>The proliferation of fake news in digital media poses a significant challenge to the dissemination of accurate information. Transfer learning, particularly with pre-trained language models (PLMs) like BERT, has demonstrated exceptional performance in natural language processing (NLP) tasks. However, the computational expense of fine-tuning the entire model for domain-specific tasks remains a limitation. In this study, we propose a novel approach, Adapt-BERT (ABERT), for the detection of both human and artificial intelligence (AI)-generated fake news. ABERT includes parameter-efficient adapter that enables efficient detection. By freezing the pre-trained BERT network and incorporating lightweight adapter, ABERT achieves comparable performance to fully fine-tuned BERT while reducing the number of trainable parameters by approximately 67.7%. ABERT strikes a balance between performance and computational efficiency, offering a scalable solution to combat the dissemination of fake news in digital media. Experimental evaluations on diverse datasets showcase the effectiveness of the proposed parameter-efficient approach in achieving comparable performance to state-of-the-art (SOTA) methods in the task of fake news detection (FND).</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100353"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614277","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 : 2025-12-01 Epub 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":"2025-12-01","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

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 : 2025-12-01 Epub 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":"2025-12-01","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

Impacts of e-RLSQ on repurchase intention in Vietnam’s e-commerce market: The mediating role of customer satisfaction and trust e-RLSQ对越南电子商务市场回购意愿的影响：顾客满意度和信任的中介作用

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-05-28 DOI: 10.1016/j.jjimei.2025.100346

Anh Duc Do , Dieu Linh Ha , Minh Trang Pham , Mai Anh Thi Khuat , Van Anh Thi Le , Dieu Ngoc Dieu Nguyen , Toan Quoc La

{"title":"Impacts of e-RLSQ on repurchase intention in Vietnam’s e-commerce market: The mediating role of customer satisfaction and trust","authors":"Anh Duc Do , Dieu Linh Ha , Minh Trang Pham , Mai Anh Thi Khuat , Van Anh Thi Le , Dieu Ngoc Dieu Nguyen , Toan Quoc La","doi":"10.1016/j.jjimei.2025.100346","DOIUrl":"10.1016/j.jjimei.2025.100346","url":null,"abstract":"<div><div>In the competitive e-commerce landscape, effective product returns management is crucial for customer retention. This study investigate the impact of electronic reverse logistics service quality (e-RLSQ) on repurchase intention, emphasizing the mediating roles of customer satisfaction and trust in Vietnam’s e-commerce market. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), it explores the relationships between e-RLSQ dimensions, customer perceptions, and repurchase behavior. The findings reveal that Information Quality (INF) and Convenience (CON) significantly enhance customer satisfaction, while Remedies (REMD) and INF foster trust. Both satisfaction and trust mediate the relationship between e-RLSQ and repurchase intention, with satisfaction exerting a stronger influence. These insights highlight the importance of optimizing return processes and ensuring transparent communication to foster long-term customer loyalty. This study contributes to the limited literature on e-RLSQ in emerging markets and provide strategic implications for e-commerce platforms to enhance service quality and customer retention.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100346"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154950","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

Driving sustainability in emerging economies: Leadership, culture, and knowledge management in environmental performance 推动新兴经济体的可持续发展：环境绩效中的领导力、文化和知识管理

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-10-27 DOI: 10.1016/j.jjimei.2025.100381

Nhatphaphat Juicharoen , Khahan Na-Nan , Sureerut Inmor , Kanakarn Phanniphong , Xinyu Wang

{"title":"Driving sustainability in emerging economies: Leadership, culture, and knowledge management in environmental performance","authors":"Nhatphaphat Juicharoen , Khahan Na-Nan , Sureerut Inmor , Kanakarn Phanniphong , Xinyu Wang","doi":"10.1016/j.jjimei.2025.100381","DOIUrl":"10.1016/j.jjimei.2025.100381","url":null,"abstract":"<div><div>This study examines the influence of Green Transformational Leadership (GTL) on Environmental Performance Outcomes (EPO) in Thailand's Eastern Economic Corridor (EEC) industries, with particular attention to the mediating roles of Green Organizational Culture Management (GOCM) and Knowledge Management (KM). Drawing on the Natural Resource-Based View (NRBV), a quantitative survey was conducted with 312 industrial firms using a multi-phase data collection process. The analysis indicates that green transformational leadership has a significant direct effect on environmental performance outcomes (β = 0.240, <em>p</em> < 0.001), while both green organizational culture management and knowledge management partially mediate this relationship. Knowledge management demonstrates a stronger indirect effect (β = 0.085, <em>p</em> < 0.001) compared to green organizational culture management (β = 0.038, <em>p</em> = 0.022), suggesting that knowledge-based systems provide more immediate pathways for translating leadership intent into environmental outcomes. The six demographic and positional control variables showed no significant influence on environmental performance outcome, indicating that the main effects are not driven by respondent characteristics. These findings support the applicability of the Natural Resource-Based View in an emerging-economy context and highlight the complementary roles of culture and knowledge in shaping environmental performance. The study advances theoretical understanding by integrating green transformational leadership, green organizational culture management, and knowledge management into a single framework and offers sector-relevant implications for industries seeking to align leadership development, cultural practices, and knowledge systems with sustainability goals.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100381"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415381","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