International Journal of Information Management Data Insights最新文献_第5页

A systematic review and future agenda on continuance intentions in mobile apps 移动应用程序中持续性意图的系统回顾和未来议程

International Journal of Information Management Data Insights

Pub Date : 2025-07-03 DOI: 10.1016/j.jjimei.2025.100352

Suryati Veronika , Michael S.W. Lee , Bodo Lang , Pragea Putra

Technology changes at ever increasing speeds. Therefore, it is crucial for practitioners and academics to understand why users’ intend to continue or discontinue their usage. This paper presents a current and comprehensive systematic literature review on continuance intentions for mobile applications. The review analyzes 119 studies from the Scopus database (January 2019–December 2023) using the PRISMA, SPAR, and TCCM frameworks. It identifies key theoretical models, determinants of mobile app continuance intention, research methods, existing gaps, and future research directions. Findings reveal that several well-recognised theoretical models are frequently applied in the literature on continuance intention. Consequently, the variables derived from these models are among the most commonly measured by researchers. Additionally, the majority of studies in this area employ quantitative methods, with structural equation modelling being most widely used. This review categorises the literature based on mobile application classifications and six distinct sets of factors influencing continuance intention: psychological, technical, social, behavioural, contextual, and barriers. Furthermore, it explores the outcomes associated with continuance intention. The paper identifies two primary areas for future research: the development of a conceptual framework and research design. It also highlights research opportunities related to emerging technologies and the gap between intentions and actual behaviours.

技术变化的速度越来越快。因此，从业者和学者理解为什么用户打算继续或停止他们的使用是至关重要的。本文介绍了当前和全面的系统文献综述的延续意图的移动应用程序。该综述使用PRISMA、SPAR和TCCM框架分析了Scopus数据库（2019年1月- 2023年12月）中的119项研究。它确定了关键的理论模型、移动应用程序延续意愿的决定因素、研究方法、现有差距和未来的研究方向。研究结果表明，文献中经常使用几个公认的理论模型来研究延续意愿。因此，从这些模型中得出的变量是研究人员最常测量的。此外，该领域的研究大多采用定量方法，其中结构方程模型应用最为广泛。这篇综述基于移动应用分类和六种不同的影响延续意愿的因素对文献进行了分类：心理、技术、社会、行为、语境和障碍。此外，本文还探讨了与继续意愿相关的结果。本文确定了未来研究的两个主要领域：概念框架的发展和研究设计。它还强调了与新兴技术相关的研究机会以及意图与实际行为之间的差距。

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引用次数: 0

Multi-variate LSTM with attention mechanism for the Indian stock market 具有关注机制的印度股市多变量LSTM

International Journal of Information Management Data Insights

Pub Date : 2025-06-21 DOI: 10.1016/j.jjimei.2025.100350

Ashy Sebastian, Dr. Veerta Tantia

The advent of attention mechanism has surpassed numerous benchmarks and enabled widespread progress in the realm of natural language processing (NLP). Nevertheless, they have not been adequately leveraged in a time-series context. Accordingly, this paper aims to address this issue by proposing a hybrid, deep-learning model that integrates attention mechanisms and multi-variate long short-term memory (LSTM) for financial forecasting in the Indian stock market. Our model yields superior results as compared to baseline and state-of-the-art models evaluated using MAE and RMSE. Moreover, we employed a modern evaluation criterion based on the methodology advocated by Diebold–Mariano, known as the Diebold–Mariano test (DM test), as a new criterion for evaluation based on statistical hypothesis tests. DM test has been applied in this study to distinguish the significant differences in forecasting accuracy between LSTM with attention and other models. From the results and according to DM-test it is observed that the differences between the forecasting performances of models are significant and that attention mechanism could enhance the accuracy in predicting stock prices by allowing the model to prioritize and concentrate on the most important features and patterns in the data while avoiding overfitting and noise.

注意机制的出现已经超越了许多基准，并使自然语言处理领域取得了广泛的进展。然而，在时间序列的背景下，它们没有得到充分的利用。因此，本文旨在通过提出一种混合的深度学习模型来解决这一问题，该模型集成了注意力机制和多变量长短期记忆（LSTM），用于印度股市的财务预测。与使用MAE和RMSE评估的基线和最先进的模型相比，我们的模型产生了优越的结果。此外，我们采用了Diebold-Mariano倡导的一种现代评价标准，即Diebold-Mariano检验（DM检验），作为基于统计假设检验的评价新标准。本研究采用DM检验来区分具有注意的LSTM与其他模型在预测精度上的显著差异。从结果和dm检验中可以看出，模型的预测性能之间的差异是显著的，注意机制可以使模型优先考虑和集中在数据中最重要的特征和模式上，同时避免过拟合和噪声，从而提高预测股价的准确性。

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引用次数: 0

Transformer-based model for moroccan Arabizi-to-Arabic transliteration using a semi-automatic annotated dataset 基于转换器的摩洛哥阿拉伯语到阿拉伯语转写模型，使用半自动注释数据集

International Journal of Information Management Data Insights

Pub Date : 2025-06-19 DOI: 10.1016/j.jjimei.2025.100351

Soufiane Hajbi , Omayma Amezian , Mouhssine Ziyad , Issame El Kaime , Redouan Korchyine , Younes Chihab

Language models have recently achieved state-of-the-art results in tasks such as translation, sentiment analysis, and text classification for high-resource languages. However, dedicated models for low-resource languages remain scarce, largely due to a lack of annotated data and linguistic resources. Most efforts focus on fine-tuning models trained on high-resource languages using limited data, resulting in a substantial performance gap. Moroccan Darija (MD), widely spoken in Morocco, lacks language resources and dedicated models. Additionally, MD texts often employ the Arabizi writing form, which combines Latin characters and numbers with Arabic script, further complicating Natural Language Processing (NLP) tasks. This work presents the first transformer-based model designed specifically for transliterating Moroccan Arabizi to Arabic. The approach leverages a character-level modeling architecture and a semi-automatically generated dataset containing over 33k word pairs, capturing significant linguistic diversity. The model achieves a state-of-the-art word transliteration accuracy (WTA) of 93 % and a character error rate (CER) of 4.73 % on unseen Moroccan Arabizi data, highlighting the potential of transformer models to improve transliteration accuracy for low-resource languages, particularly MD.

语言模型最近在翻译、情感分析和高资源语言的文本分类等任务中取得了最先进的结果。然而，用于低资源语言的专用模型仍然很少，这主要是由于缺乏带注释的数据和语言资源。大多数努力都集中在使用有限的数据对高资源语言训练的模型进行微调，这导致了巨大的性能差距。摩洛哥语（MD）在摩洛哥广泛使用，但缺乏语言资源和专用模式。此外，MD文本通常采用阿拉伯语书写形式，它将拉丁字符和数字与阿拉伯文字结合在一起，进一步复杂化了自然语言处理（NLP）任务。这项工作提出了第一个基于变压器的模型，专门为将摩洛哥阿拉伯语音译为阿拉伯语而设计。该方法利用字符级建模架构和包含超过33k个词对的半自动生成数据集，捕获了显著的语言多样性。该模型在未见过的摩洛哥阿拉伯语数据上实现了93%的最先进的单词音译准确率（WTA）和4.73%的字符错误率（CER），突出了变形模型在提高低资源语言（特别是MD）的音译准确率方面的潜力。

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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 : 2025-06-18 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

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 MultiBanFakeDetect, 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 MultiFusionFake, 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.

近年来，虚假新闻的兴起给社会带来了重大风险。随着错误信息的迅速传播，自动检测系统对于减轻其影响至关重要。然而，大多数现有的方法仅仅依赖于文本分析，限制了它们的有效性。由于现有的数据集要么很小，要么单模态，因此缺乏用于孟加拉国假新闻检测的大规模、多模态数据集，进一步加剧了这一挑战。为了解决这个问题，我们引入了MultiBanFakeDetect，这是一个集成了文本和视觉信息的新型多模态数据集。该数据集包括来自各种在线来源的人工策划的真实和虚假新闻样本。此外，我们提出了MultiFusionFake，这是一个混合多模态假新闻检测框架，使用早期融合方法融合文本和图像模式，同时还比较了后期和中期融合技术。我们的实验表明，结合DenseNet-169和mBERT的MultiFusionFake达到了79.69%的准确率，优于纯文本mBERT模型的73.13%，提高了6.56个百分点。这些结果强调了多模态方法优于单模态方法。据我们所知，这是在资源不足的孟加拉国背景下对多模式假新闻检测的第一项研究，为打击在线错误信息提供了一种有希望的方法。

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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 : 2025-06-16 DOI: 10.1016/j.jjimei.2025.100349

Cong Doanh Duong

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.

人工智能在教育和创业中的快速整合凸显了人工智能素养作为在数字经济中培养创业意图的基础技能的重要性。本研究运用刺激-有机体-反应框架，考察人工智能素养如何通过电子创业自我效能感和电子创业身份渴望的中介作用影响电子创业意向。采用分层抽样方法，从越南一流大学的504名本科生中收集数据。研究结果表明，人工智能素养显著提高了创业自我效能感和创业身份渴望，这是驱动创业意愿的重要心理机制。值得注意的是，人工智能素养与电子创业意愿之间的直接关系不显著，强调了心理途径的重要性。研究结果还揭示了人工智能素养通过电子创业自我效能感和电子创业身份渴望对电子创业意愿的影响存在序列中介效应。这项研究促进了对技术素养和创业行为之间联系的理论理解，特别是在电子创业的背景下。它扩展了刺激-有机体-反应框架在创业研究中的应用，为创业意向形成的机制提供了一个强有力的解释。实际上，教育机构和政策制定者应该把重点放在提高人工智能素养上，同时培养自我效能感和身份渴望，以促进学生的创业参与。

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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 : 2025-06-11 DOI: 10.1016/j.jjimei.2025.100348

Shi Chen , Sabariah Mohamed Salleh , Mohd Azul Mohamad Salleh

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.

媒体和信息素养（MIL）正受到学术界的关注，因为媒体技术的进步和不断发展的沟通，职前教师（PTs）在培养未来公民方面发挥着至关重要的作用。本文系统回顾了40篇关于PTs的文章，以确定其理论特征和方法模式。该方法遵循PRISMA声明，涵盖2013年至2024年的研究。所有这些选定的论文都使用质量评估工具进行评估，质量评估工具为不同设计的论文（QATSDD）。该综述确定了PTs的MIL研究集中在欧洲和亚洲。这表明区域环境和国家政策如何对MIL研究产生重大影响，术语使用和概念理解的差异也是如此。然而，在现有的文献中，教师的MIL支持教学实践的方面仍然没有得到充分的探讨，这表明在准备教师作为教育者的角色方面存在重大差距。广泛使用自我报告的评估进一步引起了对结果可信性的关切。此外，由于它们对pt的MIL能力有很大影响，因此需要持续监测包括性别和地区差异在内的人口因素。研究结果强调，需要将MIL融入教师教育，以提高教学能力，解决区域和人口差异，确保职前教师具备满足现代教育需求的能力。

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引用次数: 0

Editorial: Artificial intelligence, digitization, sustainable development goals & global disruptions 社论：人工智能、数字化、可持续发展目标和全球破坏

International Journal of Information Management Data Insights

Pub Date : 2025-06-01 DOI: 10.1016/j.jjimei.2025.100334

Sonali Bhattacharya , Manish Sinha , Vincent Dutot , Shahriar Akter , V G Venkatesh

This editorial summarizes the content of the special issue. It begins with the motivations behind the initiation of the special issue proposal and is followed by summarization of existing literature on the topic through a bibliometric analysis from a SCOPUS database. Finally, it shortly presents the special issue articles on the topical areas such as artificial intelligence, digitization, sustainable goals, and global disruptions. The deliberations will help both academics and professionals to expand their knowledge boundaries of these domains.

这篇社论总结了特刊的内容。它从发起特刊提案背后的动机开始，然后通过来自SCOPUS数据库的文献计量分析对该主题的现有文献进行总结。最后，它简要介绍了关于人工智能、数字化、可持续目标和全球破坏等主题领域的特刊文章。这些讨论将有助于学者和专业人士扩大他们在这些领域的知识边界。

引用次数: 0

The interplay of virtualisation, work design, and business process management: A mixed-methods study 虚拟化、工作设计和业务流程管理的相互作用：一项混合方法研究

International Journal of Information Management Data Insights

Pub Date : 2025-05-29 DOI: 10.1016/j.jjimei.2025.100345

Luke Bartlett , Muhammad Ashad Kabir , Jun Han

Business Process Management (BPM) has emerged as a fundamental aspect of modern business, revolutionising task execution and operational efficiency. This study explored the relationship between virtualisation and work design as well as their impact on BPM system design. An experiment was established where two simulated BPM systems were given to users to operate, one taking advantage of virtualisation and work design, the other not. A mixed method approach involving both quantitative and qualitative approaches was applied to system and usage data collected from these systems as well as a user survey. The analysis illustrates the potential significance of integrating virtualisation and work design in BPM systems. We provide a reflective discussion linking theoretical understanding with empirical evidence. We found that both components not only enhanced the performance and effectiveness of BPM systems, but also improved flexibility, scalability, and user experience. The data supports that a relationship between virtualised resources and work design exists when incorporated into BPM system design. Further, it provides valuable insights into how these elements interact and impact each other. The findings in this study contribute to building a case that establishes the effect of virtualisation and work design on the usability of BPM systems. These findings have very real practical applications that can be applied to existing BPM systems as well as the architecture of future systems. A number of the recommendations made as a result of this research have been applied to commercially available BPM systems.

业务流程管理（BPM）已经成为现代业务的一个基本方面，彻底改变了任务执行和操作效率。本研究探讨了虚拟化和工作设计之间的关系，以及它们对BPM系统设计的影响。建立了一个实验，其中两个模拟BPM系统给用户操作，一个利用虚拟化和工作设计，另一个没有。对从这些系统收集的系统和使用数据以及用户调查采用了一种包括定量和定性方法的混合方法。分析说明了在BPM系统中集成虚拟化和工作设计的潜在意义。我们提供了一个反思性的讨论，将理论理解与经验证据联系起来。我们发现这两个组件不仅增强了BPM系统的性能和有效性，而且还改进了灵活性、可伸缩性和用户体验。数据支持虚拟化资源和工作设计之间存在的关系，当合并到BPM系统设计中时。此外，它还提供了有关这些元素如何相互作用和相互影响的有价值的见解。本研究的发现有助于建立一个案例，建立虚拟化和工作设计对BPM系统可用性的影响。这些发现具有非常实际的应用，可以应用于现有的BPM系统以及未来系统的体系结构。作为这项研究的结果而提出的许多建议已应用于商业上可用的BPM系统。

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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 : 2025-05-28 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

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.

在竞争激烈的电子商务环境中，有效的产品退货管理对客户保留至关重要。本研究探讨电子逆向物流服务品质（e-RLSQ）对再购意愿的影响，强调越南电子商务市场中顾客满意与信任的中介作用。利用偏最小二乘结构方程模型（PLS-SEM），研究了e-RLSQ维度、顾客感知和再购买行为之间的关系。研究发现，信息质量（INF）和便利性（CON）显著提高顾客满意度，而补救措施（REMD）和INF促进信任。满意度和信任都在e-RLSQ与回购意愿的关系中起中介作用，其中满意度的影响更大。这些见解强调了优化退货流程和确保透明沟通以培养长期客户忠诚度的重要性。本研究对新兴市场电子商务服务商的研究文献有所贡献，并为电子商务平台提高服务质量和客户保留率提供战略意义。

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引用次数: 0

Digital transformation in the real estate industry: A systematic literature review of current technologies, benefits, and challenges 房地产行业的数字化转型：对当前技术、收益和挑战的系统文献综述

International Journal of Information Management Data Insights

Pub Date : 2025-05-12 DOI: 10.1016/j.jjimei.2025.100340

Basheer Al-haimi , Haliyana Khalid , Nor Hidayati Zakaria , Tuti Haryati Jasimin

The digital transformation of the real estate sector constitutes a pivotal and dynamic field of inquiry as emergent technologies incessantly alter conventional methodologies. This systematic literature review evaluates the integration, utilization, and ramifications of significant digital transformation technologies within the real estate sector, with a particular focus on artificial intelligence (AI), the Internet of Things (IoT), blockchain technology, augmented reality (AR), virtual reality (VR), and digital twins. Employing the PRISMA methodology, an exhaustive search across four principal academic databases yielded 36 studies that provide a solid foundation for comprehensive analysis. This review elucidates how these technologies fundamentally restructure real estate operations, encompassing property management, investment evaluation, consumer interaction, and operational frameworks. The findings demonstrate that digital transformation yields substantial advantages for stakeholders, including property managers, investors, purchasers, and tenants. Principal benefits comprise enhanced operational efficiency, improved data-driven decision-making, and augmented user engagement. Nevertheless, the review underscores significant obstacles, such as elevated implementation costs, apprehensions regarding data security, resistance to technological advancement, and integration challenges that may obstruct seamless assimilation. By furnishing precise analyses regarding these advantages and obstacles, this review presents pragmatic methodologies for industry practitioners to maneuver through digital transformation effectively. It advocates for implementing modular technology to optimize financial expenditures and emphasizes the necessity of resilient cybersecurity protocols to mitigate data-related apprehensions. Subsequent investigations ought to concentrate on the enduring implications of these technologies on market dynamics and the fulfillment of stakeholders.

随着新兴技术不断改变传统方法，房地产行业的数字化转型构成了一个关键而充满活力的研究领域。本系统文献综述评估了房地产行业中重要数字转型技术的整合、利用和影响，特别关注人工智能（AI）、物联网（IoT）、区块链技术、增强现实（AR）、虚拟现实（VR）和数字孪生。采用PRISMA方法，在四个主要学术数据库中进行了详尽的搜索，产生了36项研究，为全面分析提供了坚实的基础。这篇综述阐明了这些技术如何从根本上重构房地产业务，包括物业管理、投资评估、消费者互动和运营框架。调查结果表明，数字化转型为包括物业经理、投资者、购买者和租户在内的利益相关者带来了巨大的优势。主要的好处包括提高运营效率、改进数据驱动决策和增强用户参与度。然而，审查强调了重大障碍，如实施成本上升、对数据安全的担忧、对技术进步的抵制以及可能阻碍无缝同化的集成挑战。通过对这些优势和障碍的精确分析，本文为行业从业者提供了有效地进行数字化转型的实用方法。它提倡实施模块化技术来优化财务支出，并强调弹性网络安全协议的必要性，以减轻与数据相关的担忧。随后的调查应该集中在这些技术对市场动态和利益相关者的实现的持久影响上。

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引用次数: 0