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

The synergy between Artificial Intelligence adoption and green entrepreneurship for sustainable business growth 采用人工智能和绿色创业之间的协同作用，以实现可持续的业务增长

International Journal of Information Management Data Insights Pub Date : 2026-06-01 Epub Date: 2026-01-27 DOI: 10.1016/j.jjimei.2026.100389

Anusha Mini Selvan , Sahayaselvi Susainathan , Hesil Jerda George , Satyanarayana Parayitam , Sabiha Fazalbhoy , Shamshad Ahamed Shaik

{"title":"The synergy between Artificial Intelligence adoption and green entrepreneurship for sustainable business growth","authors":"Anusha Mini Selvan , Sahayaselvi Susainathan , Hesil Jerda George , Satyanarayana Parayitam , Sabiha Fazalbhoy , Shamshad Ahamed Shaik","doi":"10.1016/j.jjimei.2026.100389","DOIUrl":"10.1016/j.jjimei.2026.100389","url":null,"abstract":"<div><div>This study aims to unfold relationships between green innovation (GI), green entrepreneurial behavior (GEB), and sustainable business performance (SBP). A conceptual model was developed by incorporating AI adoption, creativity, and curiosity as antecedents to green innovation (GI) by entrepreneurs. Further, the relationship between GI, green entrepreneurial intention (GEI), GEB, SBP. In addition to direct effects, AI adoption as a moderator between curiosity, GI, GEI, and between GEB and SBP. To test these hypothesized relationships, data were collected from 550 entrepreneurs from eleven districts in the Southern part of India (Tamil Nadu) was analyzed. After checking the measurement model, the structural model was assessed with partial least squares – structural equation modeling [PLS-SEM]. The results indicated (i) positive impact of AI adoption, creativity and curiosity on GI, and (ii) AI adoption and GI as significant predictors of GEI. Further, the results supported the positive influence of GEI on GEB, which in turn significantly influened SBP. Findings reveal that AI adoption strengthened the relationship between (i) creativity and GI, (ii) GI and GEI, and (iii) GEB and SBP. This study exends the theory of planned behavior (TPB) by adding AI adoption and green innovation as predictors of green intention. Most importantly, this study illustrates how ecological concerns transform and shape their traditional entrepreneurial intentions and behaviors in the context of sustainable development. Further, the findings supported integrating AI adoption with GEB for sustainable business growth and make significant contribution to the literature. This study provides detailed insights for policymakers, local governments, and entrepreneurs interested in promoting sustainable business growth.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100389"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077529","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

Enhancing recruitment strategies with a hybrid AutoML approach to employee promotion prediction 运用混合AutoML方法预测员工晋升，提升招聘策略

International Journal of Information Management Data Insights Pub Date : 2026-06-01 Epub Date: 2026-02-23 DOI: 10.1016/j.jjimei.2026.100399

Fatima Zahra Abbour , El Mehdi Lghaouch , Khadija Mahjoubi , Soufiane Ardchir , Soumaya Ounacer , Mohamed Azzouazi

{"title":"Enhancing recruitment strategies with a hybrid AutoML approach to employee promotion prediction","authors":"Fatima Zahra Abbour , El Mehdi Lghaouch , Khadija Mahjoubi , Soufiane Ardchir , Soumaya Ounacer , Mohamed Azzouazi","doi":"10.1016/j.jjimei.2026.100399","DOIUrl":"10.1016/j.jjimei.2026.100399","url":null,"abstract":"<div><div>This research proposes a hybrid Automated Machine Learning (AutoML) architecture for predicting employee promotions within Human Resource (HR) analytics to address the ongoing issue of class imbalance. A series of traditional machine-learning models and AutoML pipelines were evaluated comparatively alongside multiple resampling methods including SMOTE, SMOTE + Tomek Links, and SMOTE + ENN. In the proposed framework, the TPOT AutoML optimizer was integrated with interpretable learners, K-Nearest Neighbors and Extra Trees Classifier, through soft voting, which balances automation, accuracy, and interpretation. Results demonstrate that strong preprocessing methods and hybrid optimization methods improve predictive performance, achieving accuracy of up to 0.97 and F1 scores of 0.94 under SMOTE + ENN. Although ensemble models, such as Random Forest and LightGBM, performed equally well, the hybrid AutoML approach yielded better minority-class recall across the dataset. In addition to aggregate metrics, the study also illustrates potential HRIS-oriented deployment scenarios for explainable predictive analytics under controlled experimental settings. Despite the unavailability of actual HR data based on confidentiality, validated open data and cross-validation supported reproducibility and ethical considerations. This study presents an empirical evaluation of hybrid AutoML pipelines for promotion prediction under class imbalance, emphasizing integration rather than algorithmic novelty. Results are reported on a publicly available HR dataset and should be interpreted as illustrative of pipeline behavior under controlled conditions. The contribution lies in demonstrating how AutoML and interpretable ensemble models can be combined to improve robustness and minority-class recall, providing a reproducible baseline for future HR analytics research.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100399"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384801","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

Data sovereignty, digital maturity, stakeholder engagement, public policy formulation quality, and trust in palestinian e-government: Evidence from X-road using PLS-SEM-ANN 数据主权、数字成熟度、利益相关者参与、公共政策制定质量和对巴勒斯坦电子政务的信任：来自使用PLS-SEM-ANN的X-road的证据

International Journal of Information Management Data Insights Pub Date : 2026-06-01 Epub Date: 2026-06-03 DOI: 10.1016/j.jjimei.2026.100424

Rania A.M. Abdalla , Maan A.A. Alkhateeb , Mohannad Moufeed Ayyash

{"title":"Data sovereignty, digital maturity, stakeholder engagement, public policy formulation quality, and trust in palestinian e-government: Evidence from X-road using PLS-SEM-ANN","authors":"Rania A.M. Abdalla , Maan A.A. Alkhateeb , Mohannad Moufeed Ayyash","doi":"10.1016/j.jjimei.2026.100424","DOIUrl":"10.1016/j.jjimei.2026.100424","url":null,"abstract":"<div><div>In this study, we examine the effect of data sovereignty, digital maturity, and stakeholder engagement on the quality of policy formulation and the subsequent effect on the trust of employees in Palestinian e-government using X-Road as an emergent interoperability platform functioning within a politically restricted developing environment. Our data were gathered using surveys distributed among 88 employees in 46 Palestinian public entities and were subsequently analyzed using two-stage PLS-SEM–ANN techniques. Our findings suggest that both digital maturity and data sovereignty have positive effects on the quality of policy formulation, while stakeholder engagement does not have a statistically significant effect. Moreover, our results demonstrate that better policy formulation quality improves employees’ trust in the Palestinian e-government system. In other words, in the case of emerging digital platforms operating in politically restricted environments, having a more secure control over data and increased digital maturity becomes a much more important factor affecting perceived quality of policy formulation than stakeholder involvement. This paper adds to the literature by going beyond the citizen-centric adoption frameworks and advanced digital infrastructures to explore how governance capabilities affect policy formulation quality and trust formation within an emerging Palestinian e-government infrastructure based on X-Road. Overall, our analysis presents a new perspective on X-Road and repositions it not as a general-purpose citizen-centric platform, but rather as an emergent back-end infrastructure where governance capabilities affect policy formulation quality and trust formation within a politically restricted developing country.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100424"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167270","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

Media and information literacy among pre-service teachers: A systematic review of key trends and gaps (2013–2024) 职前教师媒介与信息素养：主要趋势与差距的系统回顾（2013-2024）

International Journal of Information Management Data Insights Pub Date : 2025-12-01 Epub Date: 2025-06-11 DOI: 10.1016/j.jjimei.2025.100348

Shi Chen , Sabariah Mohamed Salleh , Mohd Azul Mohamad Salleh

{"title":"Media and information literacy among pre-service teachers: A systematic review of key trends and gaps (2013–2024)","authors":"Shi Chen , Sabariah Mohamed Salleh , Mohd Azul Mohamad Salleh","doi":"10.1016/j.jjimei.2025.100348","DOIUrl":"10.1016/j.jjimei.2025.100348","url":null,"abstract":"<div><div>Media and information literacy (MIL) is gaining academic attention due to media technology advancements and evolving communication, with pre-service teachers (PTs) playing a crucial role in preparing future citizens. This systematic review examined 40 articles focusing on PTs to identify their theoretical characteristics and methodological patterns. The methodology follows the PRISMA statement and covers research from 2013 to 2024. All of these selected papers are evaluated using a quality assessment tool, Quality Assessment Tool for papers with Diverse Designs (QATSDD). The review identifies a regional concentration of PTs’ MIL research in Europe and Asia. This demonstrates how regional settings and national policies have a significant impact on MIL research, as do differences in terminology usage and conceptual understanding. However, aspects of PTs’ MIL that support teaching practices remain underexplored in the existing literature, indicating a critical gap in preparing PTs for their roles as educators. Concerns regarding the credibility of results are further raised by the extensive use of self-reported assessments. Furthermore, because they have a big impact on PTs' MIL abilities, demographic factors including gender and regional discrepancies need constant monitoring. The findings highlight the need to integrate MIL into teacher education to enhance teaching competencies and address regional and demographic disparities, ensuring preservice teachers are equipped for modern educational demands.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100348"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254082","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

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

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

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

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