Decision Support Systems最新文献_第3页

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.2025.114599

Hongke Zhao , Zhichen Xiang , Likang Wu , Yanhong Guo

{"title":"Beyond popularity bias in e-commerce: Aligning collaborative knowledge with large language models via causal intervention for robust recommendations","authors":"Hongke Zhao , Zhichen Xiang , Likang Wu , Yanhong Guo","doi":"10.1016/j.dss.2025.114599","DOIUrl":"10.1016/j.dss.2025.114599","url":null,"abstract":"<div><div>Recommendation systems are pivotal in personalizing user experiences across e-commerce platforms. Yet, they often suffer from inherent biases, such as popularity bias. Popularity bias refers to the tendency of recommendation systems to favor overrepresented items, leading to homogenized suggestions that limit diversity and fail to address the needs of users with unique or less common preferences. While large language models (LLMs) promise to enhance recommendation quality through semantic understanding, they struggle with biased data and insufficient collaborative knowledge. To address these challenges, we propose <strong>Causal-Enhanced LLM-based Debiased Recommender System (CLD-Rec)</strong>, a novel two-stage framework that synergizes causal inference and LLMs to mitigate biases and improve recommendation robustness. In the first stage, causal reasoning identifies and eliminates biases (e.g., popularity bias) from user–item interactions, thereby generating debiased collaborative knowledge. In the second stage, this knowledge is integrated with LLMs; by leveraging the latter’s robust language comprehension capabilities, the system generates personalized recommendations that not only align with user preferences but also ensure fairness. Experimental results show that CLD-Rec consistently outperforms state-of-the-art models across multiple datasets, including Games, Toys, and Sports. Additionally, CLD-Rec demonstrates superior fairness by effectively mitigating popularity bias, leading to more balanced and diverse recommendations.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114599"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145845032","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

Does emotional consistency matter? A study of cover image and narrative text in loan-based crowdfunding 情感一致性重要吗？贷款众筹中的封面形象与叙事文本研究

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.2025.114596

Haohao Li , Weitao He , Luning Liu , Yuqiang Feng

{"title":"Does emotional consistency matter? A study of cover image and narrative text in loan-based crowdfunding","authors":"Haohao Li , Weitao He , Luning Liu , Yuqiang Feng","doi":"10.1016/j.dss.2025.114596","DOIUrl":"10.1016/j.dss.2025.114596","url":null,"abstract":"<div><div>In multimodal communication environments, facial emotions in images and emotional expressions in narrative text shape viewers' decision-making processes. However, there have been limited systematic investigations into how these two emotional cues affect crowdfunding outcomes. This study proposes a novel theoretical construct regarding image-text emotional consistency and quantifies it by integrating computer vision and text analysis techniques. A theoretical perspective of information processing indicates an inverted U-shaped relationship between image-text emotional consistency and crowdfunding performance. This nonlinear relationship is enhanced when fundraisers are female but weakened as the project risk level increases. An analysis of a large-scale dataset containing 1,588,821 valid crowdfunding projects on the Kiva platform from 2006 to 2023 supports these theoretical expectations. The findings presented herein enrich theoretical knowledge about the effects of multimodal emotional expressions in crowdfunding and provide practical guidance for designing effective crowdfunding campaigns.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114596"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145845033","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

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

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2026-01-05 DOI: 10.1016/j.dss.2026.114614

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

{"title":"Dynamic hypergraph neural networks for consumer purchase path prediction: Integrating promotions, experiences, and store heterogeneity","authors":"Juntao Wu , Quan Liu , Lifan Chen , Wenxiang Zhao , Hefu Liu","doi":"10.1016/j.dss.2026.114614","DOIUrl":"10.1016/j.dss.2026.114614","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114614"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902326","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

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

Decision Support Systems Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.dss.2025.114607

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

{"title":"Understanding cyberloafing in video-conferencing-enabled online learning: A resource-based perspective","authors":"Xusen Cheng , Yanyue Ran , Bo Yang , Shuang Zhang , Jose Benitez","doi":"10.1016/j.dss.2025.114607","DOIUrl":"10.1016/j.dss.2025.114607","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"202 ","pages":"Article 114607"},"PeriodicalIF":6.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928266","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

The effects of tactile kinesics function in live chat systems: The role of interaction comfort and social presence 实时聊天系统中触觉动力学功能的影响：交互舒适和社交存在的作用

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.dss.2025.114589

Xixian Peng , Yating Yu , Qiuyu Hu , Xinwei Wang , Lei Wang

{"title":"The effects of tactile kinesics function in live chat systems: The role of interaction comfort and social presence","authors":"Xixian Peng , Yating Yu , Qiuyu Hu , Xinwei Wang , Lei Wang","doi":"10.1016/j.dss.2025.114589","DOIUrl":"10.1016/j.dss.2025.114589","url":null,"abstract":"<div><div>Live chat systems have become a critical tool for customer engagement in today's digital business landscape, particularly with the rise of AI-enabled chatbots. This research explores the effective use of a novel sensory feature—tactile kinesics—in live chat systems. Grounded in the S-O-R framework, we investigate how the implementation of tactile kinesics in live chat systems influences satisfaction through social presence and interaction comfort, while also examining potential boundary conditions. To achieve this, we conducted three experimental studies. Study 1 reveals that tactile kinesics in live chat systems benefit human agents but not chatbots in business-oriented contexts. Study 2 shows that tactile kinesics enhance satisfaction with chatbots when the interaction context is perceived as social-oriented. Study 3 demonstrated that using business-related tactile kinesics (e.g., handshake) increases satisfaction with chatbots in business-oriented contexts. Overall, our research contributes to the existing literature by identifying the generally positive effects of tactile kinesics in live chat systems and highlighting the crucial mediating role of interaction comfort.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"201 ","pages":"Article 114589"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731026","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

“Language is the dress of thought”: A new method for automatic detection of AI-generated text “语言是思想的外衣”：一种人工智能生成文本自动检测的新方法

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-02-01 Epub Date: 2025-11-25 DOI: 10.1016/j.dss.2025.114578

Zhenhua Wang , Guang Xu , Ming Ren

{"title":"“Language is the dress of thought”: A new method for automatic detection of AI-generated text","authors":"Zhenhua Wang , Guang Xu , Ming Ren","doi":"10.1016/j.dss.2025.114578","DOIUrl":"10.1016/j.dss.2025.114578","url":null,"abstract":"<div><div>While AI technologies have garnered widespread attention for their revolutionary text generation capabilities, concerns have arisen regarding the risks associated with AI-generated text (AIGT), especially when used maliciously. Motivated by the recognition that AIGT is generated based on high-probability tokens, a process that inherently differs from the biological-based thought processes underlying human-written text (HWT), we trace and build upon theories of the language latent level to explore the fundamental differences between AIGT and HWT, particularly in terms of <em>potentiality</em>, <em>logicality</em>, and <em>complexity</em>. A novel method named LA2HDetect is proposed for automatic AIGT detection. Specifically, we discover that HWT exhibits higher <em>potentiality</em> than AIGT; AIGT and HWT each possesses unique characteristics in terms of <em>logicality</em> and <em>complexity</em>. These human-AI differences collectively form the decision-making mechanism of LA2HDetect. Extensive experiments on general domain datasets confirm the competitiveness and robustness of LA2HDetect, which outperforms existing methods. In addition, we evaluate the extensibility of LA2HDetect in multiple vertical domains, and explore the insights across progressively advanced AI models.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"201 ","pages":"Article 114578"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145598777","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

Effects of AI reviews on consumers' purchase intention: Influence of product category, review breadth, and consumer review volume AI评论对消费者购买意愿的影响：产品类别、评论广度、消费者评论量的影响

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-02-01 Epub Date: 2025-12-10 DOI: 10.1016/j.dss.2025.114590

Xinyao Yu , David Jingjun Xu , Kai Li

引用次数: 0

Investigating the cross-channel impact of live streaming on retail sales: Evidence from a live streaming e-commerce platform in China 调查直播对零售销售的跨渠道影响：来自中国直播电子商务平台的证据

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.dss.2025.114591

Lixia Hu , Jiahui Mo , Qingfei Min , Xin (Robert) Luo

{"title":"Investigating the cross-channel impact of live streaming on retail sales: Evidence from a live streaming e-commerce platform in China","authors":"Lixia Hu , Jiahui Mo , Qingfei Min , Xin (Robert) Luo","doi":"10.1016/j.dss.2025.114591","DOIUrl":"10.1016/j.dss.2025.114591","url":null,"abstract":"<div><div>The rapid advancement of live streaming technology has given rise to a novel selling channel, enabling real-time, two-way interaction between retailers and consumers and thereby transforming the operational landscape of e-commerce channels. When considering the adoption of live streaming, retailers must carefully evaluate potential cross-channel spillover effects, as these can significantly impact overall sales performance after implementation. However, the presence, magnitude, and underlying mechanisms of such spillover effects remain poorly understood and warrant further empirical investigation. This research aims to evaluate the overall effect and the cross-channel spillover effects generated by the introduction of live streaming channels, along with their underlying mechanisms. Using a difference-in-differences combined with propensity score matching approach and panel data from a leading e-commerce platform in China. We find that the introduction of live streaming channels significantly enhances overall shop sales performance. Furthermore, it not only enhances the sales performance of live-streamed products on traditional online channel (inward cross-channel spillover effect) but also drives increased sales of non-live-streamed products within the same shop on traditional online channel (outward cross-channel spillover effect). Additionally, the implementation of live streaming channels substantially improves a shop's reputation and expands its fan base, indicating that live streaming plays a key role in building brand equity.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"201 ","pages":"Article 114591"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731910","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

Digital charisma or human appeal: A comparative study on how streamers' multidimensional signals affect viewers' impulsive purchases in live commerce 数字魅力或人类吸引力：直播者的多维信号如何影响观众在商业直播中的冲动购买的比较研究

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-02-01 Epub Date: 2025-11-30 DOI: 10.1016/j.dss.2025.114581

Qian Wang , Xixi Li , Xiangbin Yan

{"title":"Digital charisma or human appeal: A comparative study on how streamers' multidimensional signals affect viewers' impulsive purchases in live commerce","authors":"Qian Wang , Xixi Li , Xiangbin Yan","doi":"10.1016/j.dss.2025.114581","DOIUrl":"10.1016/j.dss.2025.114581","url":null,"abstract":"<div><div>Despite the immense popularity of live commerce, many streamers struggle in conveying appealing signals to viewers and realizing expected commercial returns. It is also confusing that the same signal often delivers differential impacts on viewers across virtual and human streaming settings. Toward this end, we integrate signaling theory with consumption value theory and propose a comprehensive framework to explain how streamers' multidimensional signals collectively shape viewers' impulsive purchases and how such signaling processes differ across virtual and human streaming contexts. Analyzing survey data from 557 experienced livestreaming shoppers, we observe that aesthetic, social, and task signals all significantly enhance viewers' product value perceptions, which in turn motivate their impulsive purchases. Moreover, aesthetic signal displays no differential impacts on viewers' product value perceptions across virtual and human live-show settings. Social signal and task signal respectively exert a stronger and a weaker influence on product value perceptions in virtual live shows than in human ones. Our findings provide nuanced insights to help optimize streaming strategies and signal investments, and ultimately enhance commercial effectiveness of live-streaming ventures.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"201 ","pages":"Article 114581"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145650856","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

Emotion vs. information: Understanding the effect of AI-powered call systems on potential customer decision from a field experiment 情感与信息：从现场实验中了解人工智能呼叫系统对潜在客户决策的影响

IF 6.8 1区计算机科学

Decision Support Systems Pub Date : 2026-02-01 Epub Date: 2025-11-26 DOI: 10.1016/j.dss.2025.114579

Zhe Jing, Xin Xu, Yong Jin, Jie Shen

{"title":"Emotion vs. information: Understanding the effect of AI-powered call systems on potential customer decision from a field experiment","authors":"Zhe Jing, Xin Xu, Yong Jin, Jie Shen","doi":"10.1016/j.dss.2025.114579","DOIUrl":"10.1016/j.dss.2025.114579","url":null,"abstract":"<div><div>Emerging technologies such as neural networks, cloud computing, big data, and blockchain have paved the way for the development of artificial intelligence (AI), enabling AI to facilitate business operations. In particular, some organizations seek to leverage AI to replace human agents in positions involving sensitive customer information, with the aim of enhancing privacy protection. However, AI-human interaction tends to fall short of expectations in real-world settings due to the difference between humans and AI. To address this, a study will be conducted to explore the effect of implementing an AI-powered call system on potential customers compared to human agent calls. Leveraging a randomized field experiment conducted at a call center of a large securities company and a randomized online experiment, we investigated the mechanism resulting in the different impacts on customer behavior between humans and AI. The results show that voice-based AI calls trade off emotional and informational support: AI's informational advantages can raise intention, but empathy gaps can suppress it. These findings contribute to the literature on the application of technology in organizations and provide guidance to organizations on the effective implementation of AI systems, highlighting both the advantages and limitations of AI in customer-facing roles.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"201 ","pages":"Article 114579"},"PeriodicalIF":6.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145609095","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