Decision Support Systems最新文献_第5页

Disclosure of IT-related risk factors in corporate filings

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2025-01-25 DOI: 10.1016/j.dss.2025.114403

Alfred Z. Liu , Angela Xia Liu , Kexin Zhao

引用次数: 0

Enhanced digital embeddedness and bubble mitigation in NFT marketplaces: The impact of rarity rank on user trading behavior

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2025-01-23 DOI: 10.1016/j.dss.2025.114407

Lin Yuan , Chaoyue Gao , Alvin Chung Man Leung , Qiang Ye

{"title":"Enhanced digital embeddedness and bubble mitigation in NFT marketplaces: The impact of rarity rank on user trading behavior","authors":"Lin Yuan , Chaoyue Gao , Alvin Chung Man Leung , Qiang Ye","doi":"10.1016/j.dss.2025.114407","DOIUrl":"10.1016/j.dss.2025.114407","url":null,"abstract":"<div><div>As a nascent market in recent years, the NFT market has been widely scrutinized for its significant market bubble. To help investors make more informed trading decisions, several NFT marketplaces have introduced features that display the rarity information of NFTs directly on their interfaces. Existing literature on the rarity effect suggests that this feature generally increases trading activity. However, in the unique context of the NFT marketplace, its impact on user trading behavior remains an open question. This study focuses on the event where Rarible began displaying rarity information for profile picture (PFP) NFTs on its platform. Utilizing the theoretical perspective of dual process theory, we conceptualize the introduction of the rarity label as enhanced digital embeddedness. By using other NFT collections on the platform that have rarity information but do not display rarity rank labels as the control group, this study employs a rigorous Difference-in-Differences design. We find that this event leads to a decrease in both trading volume and trading price, primarily for lower-ranked NFTs, small-size collections, recent NFTs rather than top-ranked, large-size collections, established NFTs. Additional time-varying analysis also explains the asynchronous changes in price and trading volume. This study enriches the literature on the NFT marketplaces and the rarity effect, extends the application of dual process theory, and provides practical decision support for market regulators, managers, and platform users.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"190 ","pages":"Article 114407"},"PeriodicalIF":6.7,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160440","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

An interpretable imbalance ensemble classification method for readmission risk assessment incorporating multi-view perturbation and SHAP analysis

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2025-01-23 DOI: 10.1016/j.dss.2025.114404

Shaoze Cui , Ruize Gao , Junwei Kuang , Liang Yang , Huaxin Qiu , Xiaowen Wei

{"title":"An interpretable imbalance ensemble classification method for readmission risk assessment incorporating multi-view perturbation and SHAP analysis","authors":"Shaoze Cui , Ruize Gao , Junwei Kuang , Liang Yang , Huaxin Qiu , Xiaowen Wei","doi":"10.1016/j.dss.2025.114404","DOIUrl":"10.1016/j.dss.2025.114404","url":null,"abstract":"<div><div>In the domain of medical services, patients are frequently readmitted shortly after discharge due to inadequate discharge planning or relapses of their illnesses. Such occurrences not only deplete valuable medical resources but also compromise patient satisfaction with the medical care they receive. To address this issue, we propose an interpretable imbalance ensemble classification method incorporating multi-view perturbation to evaluate the risk of patient readmission. Our study introduces a novel multi-view perturbation technique to bolster the model's generalization capabilities. Furthermore, we propose a more robust ensemble strategy based on Evidential Reasoning (EVR) rules, which enhances the stability of the ensemble learning model's fusion outcomes. Additionally, recognizing the impact of sensitive parameters on model performance, we present a parameter optimization approach utilizing the Differential Evolution (DE) algorithm, which balances model predictive accuracy and computational efficiency within the fitness function. Empirical results using real-world medical data indicate that our proposed method accurately identifies patients at high risk of readmission and surpasses current state-of-the-art methods in risk assessment.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"190 ","pages":"Article 114404"},"PeriodicalIF":6.7,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160449","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

Panoramic sales insight: Using multimodal fusion to improve the effectiveness of flash sales

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2025-01-18 DOI: 10.1016/j.dss.2025.114401

Haoran Wang , Zhen-Song Chen , Mingjie Fang , Yilong Wang , Feng Liu

{"title":"Panoramic sales insight: Using multimodal fusion to improve the effectiveness of flash sales","authors":"Haoran Wang , Zhen-Song Chen , Mingjie Fang , Yilong Wang , Feng Liu","doi":"10.1016/j.dss.2025.114401","DOIUrl":"10.1016/j.dss.2025.114401","url":null,"abstract":"<div><div>Flash sales are a widely adopted e-commerce marketing strategy that operate over a brief period, offering limited-time discounts, special promotions, or clearance items to create a sense of urgency and promote rapid sales. This study proposes panoramic sales insight (PSI), a multimodal revenue forecasting framework designed to improve the accuracy of revenue predictions for flash sales. Using historical flash sales data from the fast fashion retailer Shein, the proposed PSI framework integrates both structured and unstructured data, utilizing a text–image fusion module to fuse features from product images and text descriptions and a deep neural network to forecast revenue. The text features are extracted using bidirectional encoder representations from transformers (BERT), the product image features are extracted using a vision transformer (ViT), and review keyword extraction is conducted using Fumeus. Multimodal fusion then integrates these features to deliver accurate revenue forecasting. Controlled experiments evaluate the performance of each module within the PSI framework, while ablation analysis confirms the robustness of PSI. This study provides valuable insights for managers, enabling more accurate revenue forecasting and improving the effectiveness of flash sales.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"190 ","pages":"Article 114401"},"PeriodicalIF":6.7,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160448","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

Willing and able: Task recommendation with a trade-off of the bilateral benefits for knowledge-intensive crowdsourcing

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2025-01-03 DOI: 10.1016/j.dss.2025.114400

Xicheng Yin , Jing Li , Kevin Zhu , Wei Wang , Hongwei Wang

{"title":"Willing and able: Task recommendation with a trade-off of the bilateral benefits for knowledge-intensive crowdsourcing","authors":"Xicheng Yin , Jing Li , Kevin Zhu , Wei Wang , Hongwei Wang","doi":"10.1016/j.dss.2025.114400","DOIUrl":"10.1016/j.dss.2025.114400","url":null,"abstract":"<div><div>Given the “profit-seeking” behavior of task solvers and the “quality-seeking” focus of solution seekers in knowledge-intensive crowdsourcing contests, task recommender systems must manage the trade-off between their respective benefits. This study proposes a multitask deep learning model with a multigate hybrid expert structure to jointly model solver preference and ability, thereby balancing bilateral benefits. The knowledge source for participation and performance prediction tasks are grounded in expectancy theory and performance theory, respectively. Linear and deep neural network (DNN) modules are integrated to enhance both memorization and generalization capabilities. By incorporating gating networks, the model effectively captures correlations between the two prediction tasks, balances intertask weights, and allows each task to learn features in different ways using linear and DNN modules. Additionally, our method addresses sample selection bias and data sparsity issues through feature transfer learning, leveraging the sequential pattern between participation and winning. Cross-validation experiments on Kaggle data demonstrate the model effectiveness, provide data-driven decision support for task recommendation and resource allocation in knowledge-intensive crowdsourcing platforms.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"190 ","pages":"Article 114400"},"PeriodicalIF":6.7,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160451","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

Can causal machine learning reveal individual bid responses of bank customers? — A study on mortgage loan applications in Belgium

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-12-24 DOI: 10.1016/j.dss.2024.114378

Christopher Bockel-Rickermann , Sam Verboven , Tim Verdonck , Wouter Verbeke

引用次数: 0

Excessive use in the metaverse: The role of multisensory interaction 虚拟世界中的过度使用：多感官互动的作用

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-12-24 DOI: 10.1016/j.dss.2024.114390

Chongyang Chen , Yao-Yu Wang , Kem Z.K. Zhang , Fenghua Xie

{"title":"Excessive use in the metaverse: The role of multisensory interaction","authors":"Chongyang Chen , Yao-Yu Wang , Kem Z.K. Zhang , Fenghua Xie","doi":"10.1016/j.dss.2024.114390","DOIUrl":"10.1016/j.dss.2024.114390","url":null,"abstract":"<div><div>The metaverse allows users to interact with the real and virtual worlds naturally by stimulating multimodal sensations. Meanwhile, the attractive environments created by the metaverse may also bring challenges such as excessive use. There is a great deal of uncertainty about the undesirable risks of the metaverse. Therefore, this study makes efforts to introduce a theoretical framework and explain why the advanced design of multisensory interaction can result in excessive use in the context of metaverse games. Considering the influence of multisensory interaction, we point out the important yet little investigated role of feelings in this research, especially when previous studies mostly focus on the effects of cognition. We thus apply the theory of feelings-as-information as our theoretical basis. We first systematically identify specific types of sensation stimulation in multisensory interaction. Then, we interpret the process that a desirable characteristic (multisensory interaction), which contributes to realistic feelings (plausibility illusion and place illusion), may affect users to generate maladaptive judgment (i.e., time distortion) and finally lead to unexpected outcome of excessive use. Our research model is tested with a scenario-based survey method. The empirical data confirms the proposed model. This study provides noteworthy insights on the potential dangers of the metaverse. The implications are discussed.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"190 ","pages":"Article 114390"},"PeriodicalIF":6.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889346","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

Decision support through deep reinforcement learning for maximizing a courier's monetary gain in a meal delivery environment

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-12-20 DOI: 10.1016/j.dss.2024.114388

Weiwen Zhou, Hossein Fotouhi, Elise Miller-Hooks

{"title":"Decision support through deep reinforcement learning for maximizing a courier's monetary gain in a meal delivery environment","authors":"Weiwen Zhou, Hossein Fotouhi, Elise Miller-Hooks","doi":"10.1016/j.dss.2024.114388","DOIUrl":"10.1016/j.dss.2024.114388","url":null,"abstract":"<div><div>Meal delivery is a fast-growing industry supported by couriers participating in the gig economy. This paper takes a single courier's perspective and provides decision support for an individual courier who works at will in repositioning between jobs and order-taking to optimize her profit during a work period. A hybrid discrete-time, discrete-event simulation environment was developed based on data from a real-world meal delivery environment to replicate daily operations. The single courier's repositioning and order-taking decision problem is formulated as a Markov decision process. Two classes of deep reinforcement learning (DRL) methodologies, value-based and policy-gradient algorithms, were implemented to determine the courier's best decisions to take as the courier's work shift progresses. In numerical experiments, the best optimal policy resulting from the DRL algorithms is shown to outperform all considered static policies in all demand environments. Insights from studying the decisions suggested by the best of the DRL methods were employed to create a promising static policy by generating decision trees for relocation and order-taking. The results indicate that as couriers find more intelligent strategies for maximizing their rewards, the meal delivery platform will have even greater need to incentivize couriers to fulfill less attractive orders, especially in surge periods. Finally, the impact of a multi-courier DRL environment, where multiple couriers have the advantage of the DRL strategy, was studied. For this purpose, a multi-agent DRL was implemented and numerical experiments were conducted to investigate the tradeoffs between individual courier gains and system-level performance. Findings from this multi-agent extension show the negative impacts of selfish behavior on not only the system, but the couriers themselves.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"190 ","pages":"Article 114388"},"PeriodicalIF":6.7,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160437","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 happens when platforms disclose the purchase history associated with product reviews? 当平台披露与产品评论相关的购买记录时会发生什么？

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-11-14 DOI: 10.1016/j.dss.2024.114367

Miaomiao Liu , Xiaohua Zeng , Cheng Zhang , Yong Liu

{"title":"What happens when platforms disclose the purchase history associated with product reviews?","authors":"Miaomiao Liu , Xiaohua Zeng , Cheng Zhang , Yong Liu","doi":"10.1016/j.dss.2024.114367","DOIUrl":"10.1016/j.dss.2024.114367","url":null,"abstract":"<div><div>In striking a balance between attracting more product reviews versus maintaining review quality, online platforms have started to label reviews with whether they are associated with verifiable purchases. This paper examines the impact of such disclosure policy on the strategic behavior of review writers and the helpfulness of verified reviews (VRs) and non-verified reviews (NVRs) for review users. We propose that the introduction of the verified purchase tag induces two competing effects for VRs, increased credibility and concerns for acquisition bias, which in turn influence the behaviors of both writers and users. By exploiting the exogenous shock resulting from a policy change on Amazon, we find that, after the disclosure, NVRs became longer in length and VRs started to contain more unique information. Surprisingly, we find strong evidence that VRs receive fewer helpfulness votes than NVRs. We further explore the underlying mechanism, namely review users' concerns about acquisition bias associated with VRs, and identify conditions under which these unexpected effects can be mitigated. Our findings generate important implications for online platforms seeking to design a more effective review ecosystem and for review writers aiming to produce more helpful content.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114367"},"PeriodicalIF":6.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701504","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

A comparative analysis of the effect of initiative risk statement versus passive risk disclosure on the financing performance of Kickstarter campaigns 主动风险声明与被动风险披露对 Kickstarter 活动融资绩效影响的比较分析

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-11-09 DOI: 10.1016/j.dss.2024.114366

Wei Wang , Ying Li , Jian Mou , Kevin Zhu

{"title":"A comparative analysis of the effect of initiative risk statement versus passive risk disclosure on the financing performance of Kickstarter campaigns","authors":"Wei Wang , Ying Li , Jian Mou , Kevin Zhu","doi":"10.1016/j.dss.2024.114366","DOIUrl":"10.1016/j.dss.2024.114366","url":null,"abstract":"<div><div>Extending the theory of perceived risk, this study examines how risk perception, a vital factor in determining investment decisions, comprising both initiative risk statement generated by fundraisers and passive risk disclosure published by backers, influences crowdfunding financing performance. Utilizing a corpus of 126,593 innovative projects from Kickstarter, text analytics is employed to classify risks into controllable and uncontrollable types for an empirical comparative examination. The results show that initiative risk statement negatively impacts financing performance, while passive risk disclosure has a positive influence. Comparatively, passive risk disclosure is superior to initiative risk statement. Uncontrollable (controllable) risks in initiative (passive) risk statement are superior to controllable (uncontrollable) ones. Additionally, a textual cognitive load negatively impacted initiative risk statement and passive risk disclosure. Multiple additional tests, including continuous and discrete measurements of risk, endogeneity correction, and dynamic effects over time, demonstrate the robustness of the results. This study contributes to extending the understanding of online financing risks and providing practical implications for fundraisers and backers in innovative online projects.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114366"},"PeriodicalIF":6.7,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660643","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