Decision Support Systems最新文献_第2页

Financial statement fraud detection using topic-driven financial sentiment analysis 基于主题驱动的财务情绪分析的财务报表舞弊检测

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2026-01-08 DOI: 10.1016/j.dss.2026.114615

Petr Hajek , Josef Novotny , Michal Munk

Financial statement fraud undermines market integrity and incurs substantial costs for investors, regulators, and companies. Text-based detection methods have emerged as useful complements to traditional financial indicators, but many fail to incorporate domain-specific topics or sentiment cues, often missing subtle changes in deceptive communication. To overcome this problem, this study proposes a topic-driven financial sentiment analysis (TDFSA) model that detects corporate fraud by analyzing linguistic patterns in the Management Discussion & Analysis (MD&A) sections of annual reports. Our approach captures contextual sentiment within financially relevant topics using FinBERT embeddings. To evaluate these signals in fraud detection, we integrate the TDFSA outputs into a broader cost-sensitive evaluation framework. This framework combines text-based indicators with financial ratios to balance the need to avoid false alarms with the high cost of undetected fraud. Using data from U.S. firms flagged in SEC Accounting and Auditing Enforcement Releases from 2014 to 2024 and matched non-fraud peers, we examine trends in financial ratios, textual complexity, and sentiment dynamics in the three years preceding fraud events. The results show that models leveraging TDFSA achieve higher detection accuracy and lower cost than dictionary-based sentiment, generic topic models, and deep learning baselines.

财务报表欺诈破坏了市场诚信，给投资者、监管机构和公司带来了巨大的成本。基于文本的检测方法已成为传统财务指标的有用补充，但许多方法未能纳入特定领域的主题或情绪线索，往往错过了欺骗性沟通中的微妙变化。为了克服这个问题，本研究提出了一个主题驱动的财务情绪分析（TDFSA）模型，该模型通过分析年度报告中管理层讨论和分析（MD& a）部分中的语言模式来检测企业欺诈。我们的方法使用FinBERT嵌入捕捉金融相关主题中的上下文情感。为了评估欺诈检测中的这些信号，我们将TDFSA的输出整合到一个更广泛的成本敏感评估框架中。该框架将基于文本的指标与财务比率相结合，以平衡避免虚假警报的需要与未被发现的欺诈行为的高成本。利用美国证券交易委员会会计和审计执法发布的2014年至2024年美国公司的数据，以及与非欺诈同行相匹配的数据，我们研究了欺诈事件发生前三年的财务比率、文本复杂性和情绪动态的趋势。结果表明，与基于词典的情感、通用主题模型和深度学习基线相比，利用TDFSA的模型实现了更高的检测精度和更低的成本。

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引用次数: 0

Corrigendum to “‘Decoding LLMs’ verbal deception in online reviews” [Decision Support Systems 200 (2026) 114529]. “解码法学硕士在线评论中的口头欺骗”的勘误表[决策支持系统200(2026)114529]。

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2026-01-07 DOI: 10.1016/j.dss.2025.114594

Yinghui Huang , Jinyi Zhou , Wanghao Dong , Weiqing Li , Maomao Chi , Changbin Jiang , Weijun Wang , Shasha Deng

引用次数: 0

How to leverage digital platforms in enhancing organizational resilience: The roles of supply chain integration and market orientation 如何利用数字平台增强组织弹性：供应链整合和市场导向的作用

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2026-01-07 DOI: 10.1016/j.dss.2026.114612

Qinyao Zheng , Jiabao Lin , Jose Benitez

Despite the potential of digital platforms in promoting organizational resilience, the intermediate mechanisms and contextual contingencies of this association remain inadequately explored. Drawing on dynamic capability theory, we investigate how digital platform use influences organizational resilience through supply chain integration (SCI), with market orientation serving as a critical contingency factor. Using a sample of 178 Chinese agribusinesses, we find that both digital platform exploitative use and digital platform explorative use significantly improve SCI, which subsequently enhances organizational resilience. SCI exerts as a partial mediator in the association of digital platform exploitative use with organizational resilience, whereas acts as a full mediator in the association of digital platform explorative use with organizational resilience. Notably, market orientation strengthens the positive association of digital platform exploitative use with SCI, thus amplifying the positive mediating effect of SCI in the association of digital platform exploitative use with organizational resilience. Conversely, market orientation diminishes the favorable influence of digital platform explorative use on SCI, thereby impairing the positive mediating effect of SCI in the association of digital platform explorative use with organizational resilience. This study enriches the IS literature on the business implications of digital platforms by providing theoretical illustrations and empirical evidence on how digital platform use helps agribusinesses develop organizational resilience.

尽管数字平台在促进组织弹性方面具有潜力，但这种关联的中间机制和情境偶然性仍未得到充分探讨。利用动态能力理论，我们研究了数字平台的使用如何通过供应链整合（SCI）影响组织弹性，其中市场导向是一个关键的应急因素。以178家中国农业综合企业为样本，我们发现数字平台的开发性使用和探索性使用都显著提高了SCI，进而提高了组织弹性。SCI在数字平台剥削性使用与组织弹性之间起部分中介作用，在数字平台探索性使用与组织弹性之间起完全中介作用。值得注意的是，市场导向强化了数字平台利用与SCI之间的正相关关系，从而放大了SCI在数字平台利用与组织弹性之间的正向中介作用。相反，市场导向减弱了数字平台探索性使用对SCI的有利影响，从而削弱了SCI在数字平台探索性使用与组织弹性之间的正向中介作用。本研究通过提供关于数字平台使用如何帮助农业企业发展组织弹性的理论说明和实证证据，丰富了关于数字平台商业影响的IS文献。

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引用次数: 0

Learning user preferences in livestreaming market: A graphical model considering temporal effect 直播市场中用户偏好的学习：一个考虑时间效应的图形模型

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2026-01-05 DOI: 10.1016/j.dss.2025.114600

Qingyuan Lin , Yijun Li , Miłosz Kadziński , Mengzhuo Guo

The livestreaming market has experienced rapid growth, making effective recommendation systems essential for enhancing user engagement and marketing strategies. Traditional models often fall short in simultaneously capturing user preferences, host popularity, and the temporal dynamics inherent in livestreaming platforms. To address these challenges, we propose an interpretable graphical model that integrates Poisson Factorization with hierarchical structures and explicit temporal effects. Our model jointly learns user preferences and host popularity while accounting for temporal variations. We develop a variational Bayesian inference algorithm for efficient parameter estimation. Using real-world data from a leading livestreaming platform, we demonstrate that our model outperforms several baseline methods in predicting viewing volumes and capturing user–host interactions before, during, and after a public vacation. Additionally, the learned low-dimensional representations enhance predictive tasks, such as payment behavior prediction, and enable effective profiling and segmentation of users and hosts. Our findings provide insights for decision-makers aiming to optimize recommendation systems and marketing strategies in the dynamic livestreaming market.

直播市场经历了快速增长，有效的推荐系统对于提高用户参与度和营销策略至关重要。传统模型在同时捕捉用户偏好、主持人受欢迎程度和直播平台固有的时间动态方面往往存在不足。为了解决这些挑战，我们提出了一个可解释的图形模型，该模型将泊松分解与层次结构和显式时间效应相结合。我们的模型在考虑时间变化的同时，共同学习用户偏好和主机受欢迎程度。我们开发了一种变分贝叶斯推理算法，用于有效的参数估计。使用来自领先直播平台的真实世界数据，我们证明了我们的模型在预测观看量和捕获公共假期之前，期间和之后的用户-主机交互方面优于几种基线方法。此外，学习到的低维表示增强了预测任务，如支付行为预测，并能够有效地分析和分割用户和主机。我们的研究结果为决策者在动态直播市场中优化推荐系统和营销策略提供了见解。

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引用次数: 0

Dynamic hypergraph neural networks for consumer purchase path prediction: Integrating promotions, experiences, and store heterogeneity 用于消费者购买路径预测的动态超图神经网络：整合促销、体验和商店异质性

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2026-01-05 DOI: 10.1016/j.dss.2026.114614

Juntao Wu , Quan Liu , Lifan Chen , Wenxiang Zhao , Hefu Liu

With the rise of mobile and online food and beverage services, consumer behavior has become increasingly dynamic, multichannel, and personalized. To support improved decision making, restaurant operators need systems that not only predict purchasing behavior but also capture the complex interactions among promotions, consumer experiences, and historical actions. This paper proposes a Behavioral Economics-informed Hyper Graph Network (BEHGN) framework, which integrates Expected Utility Theory and Mental Accounting Theory to model both short-term promotional responses and long-term experience effects. BEHGN employs a hypergraph structure to represent consumers, stores, products, and coupons, and uses large language models to extract experiential features from online reviews. This design enables the system to capture cross-store behavior dynamics and store heterogeneity in a unified decision support model. Experiments on real-world data from two major food and beverage chains demonstrate that BEHGN outperforms existing models in predicting consumer purchase paths, offering higher accuracy and adaptability. The results highlight the potential of BEHGN to enhance food and beverage decision support, contributing to better strategy formulation and performance outcomes.

随着移动和在线餐饮服务的兴起，消费者行为变得越来越动态、多渠道和个性化。为了支持改进的决策制定，餐厅经营者需要的系统不仅要预测购买行为，还要捕捉促销、消费者体验和历史行为之间复杂的相互作用。本文提出了一个基于行为经济学的超图网络（BEHGN）框架，该框架将期望效用理论和心理会计理论结合起来，对短期促销反应和长期体验效应进行建模。BEHGN采用超图结构来表示消费者、商店、产品和优惠券，并使用大型语言模型从在线评论中提取体验特征。这种设计使系统能够在统一的决策支持模型中捕获跨商店行为动态和商店异质性。对两家主要食品和饮料连锁店的真实数据进行的实验表明，BEHGN在预测消费者购买路径方面优于现有模型，具有更高的准确性和适应性。结果突出了BEHGN在提高食品和饮料决策支持方面的潜力，有助于更好的战略制定和绩效结果。

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引用次数: 0

Alice in land of games: Investigating behavior spillover effects of users' engagement and social connections across games 游戏领域的Alice：调查游戏中用户粘性和社交关系的行为溢出效应

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2026-01-02 DOI: 10.1016/j.dss.2025.114611

Yue Li , Haowen Deng , Cheng Zhang

The rapid growth of digital gaming allows players to move seamlessly between virtual worlds, raising questions about how behaviors in one gaming world transfer to another. Drawing on operant conditioning theory, we posit that engagement—driven by reinforced action–reward loops—forms internalized play habits that spill over positively across games, while social connections create coordination costs that hinder cross-game transitions. Using a panel of 25,164 users observed across two same-type games, we employ user-day-level panel regressions, structural equation modeling, and latent-class analysis to test these hypotheses. Our results reveal three core insights. First, higher engagement in the initial game significantly increases engagement in the subsequent game, whereas stronger social connections in the first game reduce later engagement, confirming positive and negative behavior spillover effects, respectively. Second, both spillover effects are intensified under collaborative play context, where teamwork amplifies reinforcement for highly engaged players but deepens “lock-in” for socially embedded players. Third, engagement-driven users exhibit more consistent cross-game routines, shorter switching intervals, and higher daily switch frequencies than their social-driven counterparts. These findings deepen our understanding of cross-game engagement and offer actionable guidance for optimizing event timing, social features, and retention strategies across game portfolios.

数字游戏的快速发展使玩家能够在虚拟世界之间无缝移动，这引发了一个问题，即一个游戏世界中的行为如何转移到另一个游戏世界。根据操作性条件反射理论，我们认为，在强化的行动奖励循环的驱动下，用户粘性形成了内化的游戏习惯，并在整个游戏中产生积极的影响，而社交联系则产生了阻碍跨游戏过渡的协调成本。通过观察两款同类型游戏的25164名用户，我们使用用户日水平面板回归、结构方程模型和潜在类分析来测试这些假设。我们的研究结果揭示了三个核心见解。首先，在初始游戏中较高的参与度会显著提高后续游戏的参与度，而在初始游戏中较强的社交联系会降低后续游戏的参与度，这分别证实了积极和消极的行为溢出效应。其次，这两种溢出效应在合作游戏情境下都得到强化，团队合作强化了高度投入的玩家，但加深了社交玩家的“锁定”。第三，用户粘性驱动型用户比社交驱动型用户表现出更一致的跨游戏习惯、更短的切换间隔和更高的每日切换频率。这些发现加深了我们对跨游戏粘性的理解，并为优化游戏组合中的活动时间、社交功能和留存策略提供了可行的指导。

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引用次数: 0

What makes a good image? Exploring patients' physician selection behavior leveraging large language models and scenario experiments 是什么造就了一个好的形象？利用大型语言模型和场景实验探索患者的医生选择行为

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2025-12-30 DOI: 10.1016/j.dss.2025.114608

Shan Liu , Qingshan Liu , Kezhen Wei , Guangsen Si , Chenze Wang , Muyu Zhang

As important information cues for patients' selection, physicians' online profile images have received limited attention. We explore the effects of visual cues—image feature (image clarity) and image contents (smile intensity and medical professionalism) on patients' selection behavior, while also examining the moderating effect of consultation price. Leveraging large language models, we annotate visual cues to facilitate empirical analysis. This analysis demonstrates that image clarity, smile intensity, and medical professionalism positively affect patients' selection behavior, with consultation price amplifying the effect of image clarity. We further conduct scenario-based experiments to examine the underlying mechanism from perspectives of information foraging and perceived diagnosticity. This study enriches theoretical insights into patients' selection behavior by mining physicians' image information. It also advances the empirical methodological paradigm by integrating the large language model with empirical analysis. Our findings help physicians and platform managers strategically optimize profile images and consultation prices to improve physicians' popularity in online health market.

作为患者选择的重要信息线索，医生的在线个人资料图片受到的关注有限。我们探讨了视觉线索-图像特征（图像清晰度）和图像内容（微笑强度和医疗专业度）对患者选择行为的影响，同时考察了咨询价格的调节作用。利用大型语言模型，我们注释视觉线索以促进实证分析。分析表明，图像清晰度、微笑强度和医疗专业精神正向影响患者的选择行为，且咨询价格放大了图像清晰度的影响。我们进一步从信息觅食和感知诊断的角度进行了基于场景的实验来研究其潜在机制。本研究通过对医生影像信息的挖掘，丰富了对患者选择行为的理论认识。它还通过将大语言模型与实证分析相结合，推进了实证方法论范式。我们的研究结果有助于医生和平台管理者战略性地优化个人资料图像和咨询价格，以提高医生在在线医疗市场的知名度。

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引用次数: 0

Expectancy as a critical factor of IT adoption for learning toward a successful BMD scholar model implementation in a digital divide context 期望是在数字鸿沟背景下成功实现BMD学者模型的关键因素

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2025-12-30 DOI: 10.1016/j.dss.2025.114593

Jean Robert Kala Kamdjoug , Samuel Fosso Wamba , Serge-Lopez Wamba-Taguimdje , Pascal Koko Bashengezi

When introducing new educational systems, governments must consider the expectations of end beneficiaries to ensure alignment between stated objectives and intended outcomes. A notable example is the implementation of the Bachelor–Master–Doctorate (BMD) system in higher education in developing countries. This large-scale reform places particular emphasis on integrating information technologies for learning, commonly referred to as e-learning. However, existing literature on e-learning adoption as a decision support system rarely examines the policies and strategies that shape its integration into educational systems. This study analyzes the factors driving e-learning adoption by higher education institutions in a developing country within the BMD framework. A mixed-methods approach was employed, combining a survey-based study, exploratory qualitative interviews and reports, and a literature review to develop a questionnaire grounded in expectancy–performance theory. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The results indicate positive relationships between technological context factors (network speed, network coverage, and device performance), expected academic performance factors (student motivation, course design, learning outcomes, learning assistance, and community-building support), and students' intention to use information technology for learning.

在引入新的教育体系时，政府必须考虑最终受益者的期望，以确保既定目标与预期结果之间的一致性。一个显著的例子是在发展中国家高等教育中实施学士-硕士-博士（BMD）制度。这种大规模的改革特别强调整合学习的信息技术，通常被称为电子学习。然而，现有的关于采用电子学习作为决策支持系统的文献很少研究将其整合到教育系统中的政策和策略。本研究在BMD框架下分析了推动发展中国家高等教育机构采用电子学习的因素。采用混合方法，结合基于调查的研究，探索性质的访谈和报告，以及文献综述来开发基于期望-绩效理论的问卷。采用偏最小二乘结构方程模型（PLS-SEM）和模糊集定性比较分析（fsQCA）对数据进行分析。结果表明，技术环境因素（网络速度、网络覆盖和设备性能）、期望学习成绩因素（学生动机、课程设计、学习成果、学习辅助和社区建设支持）与学生使用信息技术学习意愿之间存在正相关关系。

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引用次数: 0

Understanding cyberloafing in video-conferencing-enabled online learning: A resource-based perspective 理解视频会议在线学习中的网络闲逛：基于资源的视角

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2025-12-30 DOI: 10.1016/j.dss.2025.114607

Xusen Cheng , Yanyue Ran , Bo Yang , Shuang Zhang , Jose Benitez

Video-conferencing (VC)-enabled online learning has become a norm in schools and institutions. However, the multitasking capabilities of VC often lead users to exhibit cyberloafing behaviors in learning contexts. Despite its prevalence, there is limited understanding of such deviant behaviors in VC-enabled online learning and how to address them. To tackle this gap, we draw on conservation of resources (COR) theory to investigate the evolutionary logic of effort investment behaviors. Using a sequential mixed-methods approach, we first conducted semi-structured interviews, which revealed two constraining resources and one empowering resource of VC in learning contexts. We propose that an individual's consumption of such environmental resources, along with their individual resources, leads to gains in and losses of self-regulated learning (SRL) within VC-enabled online learning, which in turn affect subsequent cyberloafing behaviors. To test our research model and hypotheses, we conducted a survey with 309 participants, followed by a post-survey interview to triangulate the findings. Our study offers valuable insights into the design and implementation of VC in learning contexts to mitigate cyberloafing behaviors, contributing to both theory and practice.

支持视频会议（VC）的在线学习已经成为学校和机构的一种规范。然而，VC的多任务处理能力经常导致用户在学习环境中表现出网络闲逛行为。尽管它很普遍，但人们对风险投资支持的在线学习中的这种越轨行为以及如何解决它们的理解有限。为了解决这一问题，我们利用资源守恒理论来研究努力投资行为的进化逻辑。采用顺序混合方法，我们首先进行了半结构化访谈，揭示了学习环境中风险投资的两个约束资源和一个授权资源。我们认为，个人对这些环境资源的消耗，以及他们的个人资源，导致了在风险投资支持的在线学习中自我调节学习（SRL）的收益和损失，这反过来影响了随后的网络闲逛行为。为了检验我们的研究模型和假设，我们对309名参与者进行了调查，随后进行了调查后的访谈，以三角测量结果。我们的研究为在学习环境中设计和实现风险投资以减轻网络闲逛行为提供了有价值的见解，对理论和实践都有贡献。

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引用次数: 0

Brand crisis and recovery in livestream commerce: A psychological contract violation theory perspective 直播商业中的品牌危机与复苏：一个心理契约违约理论的视角

IF 6.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems

Pub Date : 2025-12-27 DOI: 10.1016/j.dss.2025.114597

Jiaqi Liu , Xiang Gong , Zhenxin Xiao , Xiaoxiao Liu , Matthew K.O. Lee , Hongwei Wang

Brand streamer crisis (BSC) is a growing concern in livestream commerce due to its accidental, adverse, and uncontrollable consequences. Drawing on psychological contract violation (PCV) theory, we examine the effect of BSC and its recovery strategies on brand performance. In study 1, we conducted a natural experiment with a synthetic difference-in-differences (SDID) model and found that BSC reduces product sales (i.e., financial performance) and follower increments (i.e., relational performance). In Study 2, we performed an observational study with an interrupted time series (ITS) analysis and revealed that the defensive recovery strategy has positive effects on product sales and follower increments. Additionally, the offensive recovery strategy has a positive effect on product sales, while it has a nonsignificant effect on follower increments. Our study contributes to the literature by developing a PCV perspective of brand crisis and offers effective recovery strategies for practitioners in livestream commerce.

品牌主播危机（Brand streamer crisis，简称BSC）由于其偶然性、不利性和不可控的后果，在直播商业中日益受到关注。运用心理契约违约理论，研究平衡记分卡及其恢复策略对品牌绩效的影响。在研究1中，我们使用合成差异中差异（SDID）模型进行了自然实验，发现平衡计分卡降低了产品销售（即财务绩效）和追随者增量（即关系绩效）。在研究2中，我们使用中断时间序列（ITS）分析进行了观察性研究，发现防御性恢复策略对产品销售和追随者增量有积极影响。此外，进攻性恢复策略对产品销售有正向影响，而对追随者增量的影响不显著。我们的研究通过发展品牌危机的PCV视角为文献做出了贡献，并为直播商业从业者提供了有效的恢复策略。

引用次数: 0