International Journal of Information Management Data Insights最新文献

{"title":"Benchmarking Large Language Models on Arabic parsing","authors":"Kamal Al-Sabahi ,&nbsp;Amer Fael Mohammed Balhaf ,&nbsp;Mohamed Moheb Zagloul Al Shamy ,&nbsp;Majjed Al-Qatf ,&nbsp;Kang Yang ,&nbsp;Abdulrahman Al-Badwi","doi":"10.1016/j.jjimei.2026.100404","DOIUrl":"10.1016/j.jjimei.2026.100404","url":null,"abstract":"<div><div>Parsing Arabic sentences, specifically <em>i^<em>c</em>rāb</em>, poses unique challenges due to the language’s intricate morphology, diverse syntactic structures, and rich contextual nuances. This study evaluates the performance of leading general-purpose Large Language Models (LLMs) in Arabic <em>i^<em>c</em>rāb</em> parsing using a novel human-annotated dataset, systematically covering various grammatical phenomena. A tailored evaluation framework assesses performance across detailed syntactic and morphological features. Under matched <em>multi-shot</em> prompting (basis for cross-model comparisons), Claude-3.5-Sonnet achieved the highest overall F1 score (0.84), followed by GPT-4o (0.83) and Gemini-1.5-Pro (0.77). Conversely, less advanced models such as Claude2.1 and GPT-3.5-turbo struggled with complex constructions, highlighting persistent linguistic limitations. Multi-shot prompting substantially improved accuracy across proprietary models, yielding improvements of up to 18% in complex categories and underscoring the value of in-context learning. Additionally, evaluations of open-source models (DeepSeek-chat-v3-0324 and LLaMA-4-scout) established baseline performance levels confirming substantial gaps compared to proprietary models. The findings reveal ongoing challenges like diacritic sensitivity and semantic ambiguity while establishing a robust benchmark for Arabic grammatical parsing in general-purpose LLMs. <em>All resources (dataset, codebase, and evaluation outputs) are available at</em> <span><span>https://github.com/alsabahi2030/Arabic-LLM-Parsing</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100404"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384798","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}

{"title":"Measuring AI responsibility: A cross-country validation of a multidimensional framework","authors":"Nutt Jaturat,&nbsp;Khahan Na-Nan,&nbsp;Bowei Hu","doi":"10.1016/j.jjimei.2026.100388","DOIUrl":"10.1016/j.jjimei.2026.100388","url":null,"abstract":"<div><div>As artificial intelligence (AI) continues to transform industries, ensuring AI responsibility has become critical for ethical governance. Despite the growing number of frameworks emphasizing transparency, accountability, and sustainability, a standardized measurement tool remains lacking. This study develops and validates a seven-dimensional AI Responsibility framework encompassing Privacy and Security, Transparency and Accountability, Impact on Employment, Sustainability, User-Centered Design, Social Impact, and Innovation and Adaptation. Using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), the study confirms the framework’s construct validity and reliability. The results indicate strong model fit, with all constructs exceeding recommended thresholds for composite reliability (CR) and average variance extracted (AVE). The study contributes to AI ethics research by offering an empirically validated measurement instrument. Practically, the framework serves as a benchmarking tool for organizations and policymakers to assess AI governance strategies and regulatory compliance. As AI adoption continues to expand, this framework provides a structured approach to fostering trust, accountability, and responsible AI deployment.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100388"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026131","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}

{"title":"Interpretable artificial intelligence for travel small and medium-sized enterprises: A threshold-based framework for personalized tourism in Thailand","authors":"Chairote Yaiprasert ,&nbsp;Achmad Nizar Hidayanto","doi":"10.1016/j.jjimei.2026.100400","DOIUrl":"10.1016/j.jjimei.2026.100400","url":null,"abstract":"<div><div>Personalized travel demands AI solutions suited for tourism small and medium-sized enterprises in developing countries. This study proposes a threshold-based AI framework that addresses data scarcity, low technical readiness, and infrastructure gaps in Thailand. The model integrates class distributions, nearest neighbors, and neural networks with categorical encoding (−1, 0, +1), reaching 99 % accuracy while preserving efficiency. Human-adjustable thresholds support transparency and interpretability, enabling real-time use without cloud reliance. Empirical results confirm strong calibration and model robustness in low-data environments. The system boosts the competitiveness of small and medium-sized enterprises through direct personalization and aligns with Sustainable Development Goals 8, 9, 10, 12, and 17. Designed for human-centered application, this framework offers a scalable solution for service sectors operating under similar limitations. The approach introduces a practical AI paradigm that balances performance, interpretability, and accessibility—advancing responsible innovation in emerging economies.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100400"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173319","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}

{"title":"Directions for enhancing quantum resilience of blockchain platforms and ecosystems","authors":"Sergei Petrenko ,&nbsp;Alexey Petrenko ,&nbsp;Anatoliy Kazak ,&nbsp;Krystina Makoveichuk ,&nbsp;Nikolay Oleinikov","doi":"10.1016/j.jjimei.2026.100390","DOIUrl":"10.1016/j.jjimei.2026.100390","url":null,"abstract":"<div><div>Blockchain ecosystems and platforms form a critical foundation for national digital economies worldwide. However, recent advancements in quantum computing, exemplified by breakthroughs from IBM and other leading developers, reveal that these systems may no longer guarantee stability and security against emerging quantum-enabled attacks. The increasing feasibility of such threats, commonly referred to as the “quantum threat,” poses unprecedented risks to the integrity, confidentiality, and reliability of blockchain infrastructures. In response, several technologically advanced countries have initiated efforts to anticipate and mitigate potential quantum cyberattacks.</div><div>Ensuring the quantum resilience of blockchain systems necessitates novel approaches beyond conventional information security methods. Unlike traditional protections, these approaches aim to prevent systemic failures even under quantum-enabled adversarial conditions. The study identifies and systematizes the main directions for achieving quantum resilience, including post-quantum cryptographic primitives, modified quantum algorithms, and hybrid quantum–classical security models. The review highlights how progress in superconducting, ionic, photonic, and neutral-atom quantum platforms reshapes the threat landscape. A distinctive contribution of this work lies in its integrative perspective — linking cryptographic, architectural, and ecosystem-level aspects of blockchain sustainability under quantum threats. The proposed framework emphasizes combining post-quantum cryptography, quantum-safe protocols, and cross-domain coordination between quantum computing and cybersecurity research. Given the rapidly advancing nature of quantum technologies, the findings presented here not only reflect the current state of the field but also outline strategic directions for developing adaptive, quantum-resilient blockchain systems, including dynamic algorithmic frameworks, formal verification of quantum-resistant smart contracts, and simulation of blockchain protocols against quantum adversary models.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100390"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173318","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}

{"title":"Cybersecurity disclosure and digital maturity as strategic drivers of banking performance: Evidence from Europe","authors":"Marwan Mansour ,&nbsp;Ala Hussein Albawwat ,&nbsp;Ahmad Marei ,&nbsp;Hady O. Abozeid","doi":"10.1016/j.jjimei.2026.100403","DOIUrl":"10.1016/j.jjimei.2026.100403","url":null,"abstract":"<div><div>This study examines whether cybersecurity disclosure (CSD) is associated with bank profitability and whether national digital maturity conditions this relationship across European banking systems. Prior research largely focuses on valuation effects, providing limited evidence on the operational governance implications of cybersecurity transparency. Using 8890 bank-year observations from 889 banks across 21 European countries (2014–2023), and employing a panel-data framework with fixed effects and complementary robustness and endogeneity checks, the study develops a dual CSD measure capturing disclosure presence and disclosure depth. Results show that CSD is positively associated with profitability. Disclosure depth demonstrates stronger explanatory power than disclosure presence, suggesting the importance of substantive cybersecurity reporting. National digital maturity as a critical institutional boundary condition shapes the profitability association of CSD, particularly among large banks. Overall, the findings suggest that CSD operates primarily as an operational governance mechanism whose effectiveness depends on supportive digital-institutional environments within European banking systems.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100403"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384802","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}

{"title":"Click, transact, repeat: An integrated framework for adoption and continuance usage of digital financial service applications","authors":"Dharmendra Singh ,&nbsp;Garima Malik ,&nbsp;Ahmed Al-Dmour ,&nbsp;Aruna Jha","doi":"10.1016/j.jjimei.2026.100394","DOIUrl":"10.1016/j.jjimei.2026.100394","url":null,"abstract":"<div><div>The rapid expansion of smartphone usage and rising digital literacy have reshaped financial service delivery, positioning mobile-based applications such as digital wallets, payment platforms, and investment apps as essential tools for everyday financial management. This study explores user motivation and the depth of usage of digital financial service apps during the post-adoption phase in India’s emerging economy. An integrated model grounded in Self-Determination Theory, Task-Technology Fit, and Expectation Confirmation Theory is proposed to explain continued usage behaviour. The study also incorporates smart pricing to capture the influence of flexible, value-driven, and technology-enabled pricing mechanisms on user satisfaction and sustained engagement. Data collected from 512 Indian respondents through structured surveys reveal that perceived competence, autonomy, individual user characteristics, and effective task–technology alignment significantly shape continued usage intentions. Overall, the findings offer meaningful insights into the drivers of long-term engagement with digital financial service applications in developing markets.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100394"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173212","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}

{"title":"Virtual tourism: Impact of avatar anonymity, cyberbullying and virtual reality threats on Gen Z and Y satisfaction","authors":"Amron Amron ,&nbsp;Ali Mursid ,&nbsp;Entot Suhartono","doi":"10.1016/j.jjimei.2026.100398","DOIUrl":"10.1016/j.jjimei.2026.100398","url":null,"abstract":"<div><div>This study investigates the impact of avatar anonymity on user satisfaction in metaverse tourism among Gen Z and Y, emphasizing the moderating roles of cyberbullying and virtual reality threats. Using quantitative methods, survey data from virtual tourists engaging in WonderVerse Indonesia were analyzed through Covariance-Based Structural Equation Modeling (CB-SEM). The findings reveal that avatar anonymity enhances user satisfaction; however, this relationship is significantly weakened by cyberbullying and virtual reality threats, underscoring the need for protective measures. By integrating social information processing theory with emerging user safety concerns, this study provides valuable insights for platform designers, tourism operators and policymakers to optimize user engagement and satisfaction in immersive virtual environments.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100398"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384800","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}

{"title":"The synergy between Artificial Intelligence adoption and green entrepreneurship for sustainable business growth","authors":"Anusha Mini Selvan ,&nbsp;Sahayaselvi Susainathan ,&nbsp;Hesil Jerda George ,&nbsp;Satyanarayana Parayitam ,&nbsp;Sabiha Fazalbhoy ,&nbsp;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}

{"title":"Enhancing recruitment strategies with a hybrid AutoML approach to employee promotion prediction","authors":"Fatima Zahra Abbour ,&nbsp;El Mehdi Lghaouch ,&nbsp;Khadija Mahjoubi ,&nbsp;Soufiane Ardchir ,&nbsp;Soumaya Ounacer ,&nbsp;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}

{"title":"Media and information literacy among pre-service teachers: A systematic review of key trends and gaps (2013–2024)","authors":"Shi Chen ,&nbsp;Sabariah Mohamed Salleh ,&nbsp;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}