Decision Support Systems最新文献_第2页

How does artificial intelligence-generated content reshape user-generated content? An empirical study from TripAdvisor 人工智能生成内容（AIGC）如何重塑用户生成内容（UGC）？来自TripAdvisor的一项实证研究

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.dss.2026.114623

Zidong Li, Youngsok Bang

{"title":"How does artificial intelligence-generated content reshape user-generated content? An empirical study from TripAdvisor","authors":"Zidong Li, Youngsok Bang","doi":"10.1016/j.dss.2026.114623","DOIUrl":"10.1016/j.dss.2026.114623","url":null,"abstract":"<div><div>Generative AI has revolutionized content creation across digital ecosystems, yet its broader implications for user-generated content (UGC) remain underexplored. To address this gap, we examine TripAdvisor's introduction of AI-Generated Content (AIGC) summaries and investigate how this feature influences user review behavior. Drawing on a taxonomy of online review-writing motivations, we propose that AIGC fulfills multiple motivations to share experiences, reducing users' incentives to contribute new content. Utilizing a natural experiment with hotel reviews in Singapore, our difference-in-differences analysis reveals that overall review volume declines significantly after AIGC implementation, with high-rated reviews exhibiting a sharper decrease than low-rated ones. This effect is more pronounced for lower-tier hotels than higher-tier hotels. We also observe that reviewers compose longer reviews and assign slightly lower ratings post-AIGC. Our structural topic modeling also reveals a significant shift in review content from general to specific topics. These findings demonstrate how generative AI reshapes UGC dynamics and highlight practical considerations for platform managers seeking to leverage AI innovation while maintaining the authenticity and diversity of user feedback.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"203 ","pages":"Article 114623"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-generated fake review detection 人工智能生成的虚假评论检测

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-04-01 Epub Date: 2026-01-30 DOI: 10.1016/j.dss.2026.114628

Jiwei Luo , Guofang Nan , Dahui Li

{"title":"AI-generated fake review detection","authors":"Jiwei Luo , Guofang Nan , Dahui Li","doi":"10.1016/j.dss.2026.114628","DOIUrl":"10.1016/j.dss.2026.114628","url":null,"abstract":"<div><div>Online reviews of e-commerce platforms have long been recognized as a major factor that influences a consumer’s purchasing decisions. However, the emergence of generative artificial intelligence (GAI) has accelerated the proliferation of fake online reviews, which can significantly reduce consumer trust in these platforms. This study proposes a novel supervised learning approach that can be flexibly integrated into decision support system to help platforms effectively detect AI-generated fake reviews. In the approach, we first construct two types of variables to distinguish between human-written genuine reviews and AI-generated fake reviews. Then, we introduce an outlier detection method based on cumulative probability density to calculate the probability that a fake review generated by AI. Finally, we train the AdaBoost model using the cumulative probability density values of reviews computed above to obtain classifier that can accurately detect AI-generated fake reviews. Numerical experiments demonstrate that the proposed method can produce more accurate detections of AI-generated fake review than several state-of-the-art baseline methods. We contribute to the related literature by the exploitation of statistical theory, which posits that outliers, as small probability events, are typically located at the tails of feature distributions, a principle effectively employed in detecting AI-generated fake reviews.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"203 ","pages":"Article 114628"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.dss.2025.114608

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

{"title":"What makes a good image? Exploring patients' physician selection behavior leveraging large language models and scenario experiments","authors":"Shan Liu , Qingshan Liu , Kezhen Wei , Guangsen Si , Chenze Wang , Muyu Zhang","doi":"10.1016/j.dss.2025.114608","DOIUrl":"10.1016/j.dss.2025.114608","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114608"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Decision Support Systems Pub Date : 2026-03-01 Epub 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

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

Decision Support Systems Pub Date : 2026-03-01 Epub 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

引用次数: 0

At your fingertips: Do augmented reality gestures reveal product-related emotion? 触手可及：增强现实手势是否揭示了与产品相关的情感？

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2025-12-23 DOI: 10.1016/j.dss.2025.114595

Pratik Tarafdar , Alvin Chung Man Leung , Wei Thoo Yue , Indranil Bose

{"title":"At your fingertips: Do augmented reality gestures reveal product-related emotion?","authors":"Pratik Tarafdar , Alvin Chung Man Leung , Wei Thoo Yue , Indranil Bose","doi":"10.1016/j.dss.2025.114595","DOIUrl":"10.1016/j.dss.2025.114595","url":null,"abstract":"<div><div>Advances in immersive technologies give online retailers an opportunity to integrate augmented reality (AR) experiences for their customers. With AR, product presentations shift from static images to interactive virtual experiences. This interaction allows online retailers to identify product-related emotions through affective computing. In mobile AR, customers use touch gestures for virtual interaction. Drawing from theories of immersive media and affective computing, we hypothesize that touch movements and pressure in AR-based mobile applications relate to positive emotions during product interactions. We conducted an observational study in a controlled laboratory setting to test our hypotheses and found that these variables can predict emotional responses. To ensure robustness, we applied explainable AI methods, including Shapley Additive Explanations (SHAP), to interpret the contribution of each touch gesture. We found that specific gestures, including the number of pan movements, the average time for pinch movements, touch pressure, and the number of rotate movements, strongly predict positive emotional responses, highlighting the importance of haptic engagement in immersive shopping experiences. These findings have important theoretical and practical implications. We explain how touch behavior can predict product-related emotions and demonstrate how online retailers can implement emotion analytics in AR shopping applications.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114595"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145822796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Decision Support Systems Pub Date : 2026-03-01 Epub 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

{"title":"Expectancy as a critical factor of IT adoption for learning toward a successful BMD scholar model implementation in a digital divide context","authors":"Jean Robert Kala Kamdjoug , Samuel Fosso Wamba , Serge-Lopez Wamba-Taguimdje , Pascal Koko Bashengezi","doi":"10.1016/j.dss.2025.114593","DOIUrl":"10.1016/j.dss.2025.114593","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114593"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2026-01-05 DOI: 10.1016/j.dss.2025.114600

Qingyuan Lin , Yijun Li , Miłosz Kadziński , Mengzhuo Guo

{"title":"Learning user preferences in livestreaming market: A graphical model considering temporal effect","authors":"Qingyuan Lin , Yijun Li , Miłosz Kadziński , Mengzhuo Guo","doi":"10.1016/j.dss.2025.114600","DOIUrl":"10.1016/j.dss.2025.114600","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114600"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.dss.2025.114611

Yue Li , Haowen Deng , Cheng Zhang

{"title":"Alice in land of games: Investigating behavior spillover effects of users' engagement and social connections across games","authors":"Yue Li , Haowen Deng , Cheng Zhang","doi":"10.1016/j.dss.2025.114611","DOIUrl":"10.1016/j.dss.2025.114611","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114611"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchy-team appointment implementation and physician service productivity: The moderating role of individual and team characteristics 层级团队预约执行与医师服务生产力：个人与团队特质的调节作用

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2025-12-26 DOI: 10.1016/j.dss.2025.114598

Hang Xie , Ji Wu , Doris Chenguang Wu , Xiaomei Zeng

{"title":"Hierarchy-team appointment implementation and physician service productivity: The moderating role of individual and team characteristics","authors":"Hang Xie , Ji Wu , Doris Chenguang Wu , Xiaomei Zeng","doi":"10.1016/j.dss.2025.114598","DOIUrl":"10.1016/j.dss.2025.114598","url":null,"abstract":"<div><div>The uneven distribution of patient flow among physicians—marked by overburdened specialists and underutilized junior practitioners—perpetuates systemic inefficiencies in outpatient healthcare systems. This study examines the impact of Hierarchical Team Appointment (HTA) system, an innovative appointment scheduling function that probabilistically allocates patients across tiers, on individual physician's patient-volume-based productivity (PVBP). While prior research focuses on individual physicians' adoption of digital channels, the role of team-based systems like HTA in enhancing PVBP through operational efficiency remains underexplored. In this study, we examine the impact of HTA implementation on individual physician's PVBP, mediated by improvements in efficiency. We also explore how this impact varies across specialties, teams and physicians. Using a quasi-experimental design, we analyzed data from 201 physicians at a leading ophthalmology specialty hospital in China, tracking their weekly HTA engagement. Our findings reveal that HTA participation significantly boosts physician PVBP, particularly for junior physicians and in less complexity specialties. Moreover, HTA mitigates patient flow disparities (6.6 %) between team members. The HTA implementation demonstrates potential for managing patient flow and improving physician PVBP, offering valuable insights for healthcare decision support.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114598"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145845034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0