Kamal Al-Sabahi , Amer Fael Mohammed Balhaf , Mohamed Moheb Zagloul Al Shamy , Majjed Al-Qatf , Kang Yang , Abdulrahman Al-Badwi
{"title":"Benchmarking Large Language Models on Arabic parsing","authors":"Kamal Al-Sabahi , Amer Fael Mohammed Balhaf , Mohamed Moheb Zagloul Al Shamy , Majjed Al-Qatf , Kang Yang , 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<sup><em>c</em></sup>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<sup><em>c</em></sup>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":"Beyond tickets and texts: Addressing challenges in AI-driven customer service","authors":"Szabina Fodor , Csaba Csáki , Andrea Kő","doi":"10.1016/j.jjimei.2026.100395","DOIUrl":"10.1016/j.jjimei.2026.100395","url":null,"abstract":"<div><div>Adapting AI-driven solutions in customer services (CS) is becoming increasingly important to counter the combined impact of increased workload and management expectations. Addressing copious text volumes, text analytics (TA) assumes an important supporting role within CSs. However, the absence of TA and NLP application guidelines slows progress. Utilization of AI advancements in linguistically intricate languages and less digitally developed regions presents challenges.</div><div>Using a systematic in-depth review of the literature and expert feedback, this study presents the TA/NLP landscape in the context of CS. The paper discusses challenges, open issues, and active research areas in TA/NLP, mainly in customer service, and validates its findings with a country example and industry experts. In addition to the theoretical and practical value of the AI-driven customer service landscape, a unique methodological approach, which includes AI-assisted content mining with BERTopic, systematic literature review, domain expert validation, and the example contributes to methodology development.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100395"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173213","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}
Karuturi Soumya , Karuturi Sai Sharat , Nune Sreenivas
{"title":"Academic certificate fraud detection by Web-based intelligent access control system: An effective role of Blockchain technology","authors":"Karuturi Soumya , Karuturi Sai Sharat , Nune Sreenivas","doi":"10.1016/j.jjimei.2025.100386","DOIUrl":"10.1016/j.jjimei.2025.100386","url":null,"abstract":"<div><div>The need for timely monitoring and management of the authenticity of academic certificates is increasing owing to the easy availability of computational facilities and network connectivity. This study is aimed to develop a means to verify the authenticity of an academic certificate data, such as; sender, receiver and digital signatures, using a blockchain ecosystem. Globally, the number of tertiary education students and graduates in various universities are constantly increasing every year; therefore the need for easy Web – based verification of degree certificates is also generating new business opportunities worldwide. Proof of certification of academic documents by easy means at low cost is not only necessary for the students but is equally required by the employers for a quick and trustworthy verification of the academic documents of the applicants during the recruitment process globally. Thus, a two-server-based framework is designed to support the multiple devices to train a local model using local data, and the gradients of the local model can be later sent to a central server that aggregates them to create a global model. Extensive experimental results confirm that BP can achieve efficient collusion resistance and verifiability of academic certificates results with a straightforward solution that demands the exploration of plausible business models.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100386"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976557","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, Khahan Na-Nan, 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 , 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}
Sergei Petrenko , Alexey Petrenko , Anatoliy Kazak , Krystina Makoveichuk , Nikolay Oleinikov
{"title":"Directions for enhancing quantum resilience of blockchain platforms and ecosystems","authors":"Sergei Petrenko , Alexey Petrenko , Anatoliy Kazak , Krystina Makoveichuk , 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}
Marwan Mansour , Ala Hussein Albawwat , Ahmad Marei , Hady O. Abozeid
{"title":"Cybersecurity disclosure and digital maturity as strategic drivers of banking performance: Evidence from Europe","authors":"Marwan Mansour , Ala Hussein Albawwat , Ahmad Marei , 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}
Dharmendra Singh , Garima Malik , Ahmed Al-Dmour , Aruna Jha
{"title":"Click, transact, repeat: An integrated framework for adoption and continuance usage of digital financial service applications","authors":"Dharmendra Singh , Garima Malik , Ahmed Al-Dmour , 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}
Basheer Al-haimi , Haliyana Khalid , Nor Hidayati Zakaria , Tuti Haryati Jasimin
{"title":"Corrigendum to “Digital transformation in the real estate industry: A systematic literature review of current technologies, benefits, and challenges” [International Journal of Information Management Data Insights, Volume 5, Issue 1, June 2025, 100340]","authors":"Basheer Al-haimi , Haliyana Khalid , Nor Hidayati Zakaria , Tuti Haryati Jasimin","doi":"10.1016/j.jjimei.2026.100393","DOIUrl":"10.1016/j.jjimei.2026.100393","url":null,"abstract":"","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"6 1","pages":"Article 100393"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148231056","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 , Ali Mursid , 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}