Decision Support Systems最新文献

Excessive use in the metaverse: The role of multisensory interaction

IF 7.5 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":"https://doi.org/10.1016/j.dss.2024.114390","url":null,"abstract":"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.","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"14 1","pages":""},"PeriodicalIF":7.5,"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

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

DeepSecure: A computational design science approach for interpretable threat hunting in cybersecurity decision making DeepSecure：在网络安全决策中采用可解释的威胁猎取计算设计科学方法

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-11-06 DOI: 10.1016/j.dss.2024.114351

Prabhat Kumar , Danish Javeed , A.K.M. Najmul Islam , Xin (Robert) Luo

{"title":"DeepSecure: A computational design science approach for interpretable threat hunting in cybersecurity decision making","authors":"Prabhat Kumar , Danish Javeed , A.K.M. Najmul Islam , Xin (Robert) Luo","doi":"10.1016/j.dss.2024.114351","DOIUrl":"10.1016/j.dss.2024.114351","url":null,"abstract":"<div><div>Businesses and industries are placing a greater emphasis on information systems for cybersecurity decision-making due to the rising cybersecurity threat landscape and the critical need to protect their digital assets. Threat hunting provides a data-driven and proactive approach to cybersecurity, enabling organizations to efficiently detect, analyze, and respond to cyber threats in real-time. Despite playing a crucial role, these systems face several obstacles, including the manual analysis of technical threat intelligence, the non-Gaussian nature of real-world data, the high rate of false positives produced during threat hunting, and the lack of interpretation and justification for these complex models. This article adopts the computational design science paradigm to develop a novel IT artifact for threat-hunting named DeepSecure. First, to automatically extract latent patterns from multivariate time series datasets, we propose a dynamic vector quantized variational autoencoder technique. Second, a multiscale hierarchical attention bi-directional gated recurrent unit-based threat-hunting mechanism is designed. Finally, we provide the visualization of attention scores to aid in model interpretation. We evaluate the DeepSecure against state-of-the-art benchmarks on two publicly available datasets, namely, ToN-IoT and CSE-CIC-IDS2018. The experimental evaluation proves that our model can efficiently identify threat types. Beyond demonstrating practical utility, the proposed framework can help address the lack of interpretation and justification for complex models in cyber threat detection and will allow organizations to respond to potential security incidents quickly.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114351"},"PeriodicalIF":6.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of visual-preview and information-sidedness features on website persuasiveness 视觉预览和信息片面性特征对网站说服力的影响

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-11-01 DOI: 10.1016/j.dss.2024.114361

Yi-Chen Lee , Chih-Hung Peng , Choon-Ling Sia , Weiling Ke

引用次数: 0

The evolution of organizations and stakeholders for metaverse ecosystems: Editorial for the special issue on metaverse part 1 元宇宙生态系统的组织和利益相关者的演变：为元宇宙特刊第 1 部分撰写的社论

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-10-29 DOI: 10.1016/j.dss.2024.114353

Arpan Kumar Kar , Patrick Mikalef , Rohit Nishant , Xin (Robert) Luo , Manish Gupta

引用次数: 0

Know where to go: Make LLM a relevant, responsible, and trustworthy searchers 知道去哪里：让 LLM 成为相关的、负责任的、值得信赖的搜索者

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-10-28 DOI: 10.1016/j.dss.2024.114354

Xiang Shi, Jiawei Liu, Yinpeng Liu, Qikai Cheng, Wei Lu

{"title":"Know where to go: Make LLM a relevant, responsible, and trustworthy searchers","authors":"Xiang Shi, Jiawei Liu, Yinpeng Liu, Qikai Cheng, Wei Lu","doi":"10.1016/j.dss.2024.114354","DOIUrl":"10.1016/j.dss.2024.114354","url":null,"abstract":"<div><div>The advent of Large Language Models (LLMs) has shown the potential to improve relevance and provide direct answers in web searches. However, challenges arise in validating the reliability of generated results and the credibility of contributing sources due to the limitations of traditional information retrieval algorithms and the LLM hallucination problem. We aim to transform LLM into a relevant, responsible, and trustworthy searcher in response to these challenges. Rather than following the traditional generative retrieval approach, simply allowing the LLM to summarize the search results, we propose a novel generative retrieval framework leveraging the knowledge of LLMs to foster a direct link between queries and web sources. This framework reforms the retrieval process of the traditional generative retrieval framework by integrating an LLM retriever, and it redesigns the validator while adding an optimizer to ensure the reliability of the retrieved web sources and evidence sentences. Extensive experiments show that our method outperforms several SOTA methods in relevance, responsibility, and trustfulness. It improves search result validity and precision by 2.54 % and 1.05 % over larger-parameter-scale LLM-based systems. Furthermore, it demonstrates significant advantages over traditional frameworks in question-answering and downstream tasks.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114354"},"PeriodicalIF":6.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587027","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

Returning the “socio” to decision support research: Expanding beyond a purely technical mindset 让决策支持研究回归 "社会"：超越纯技术思维模式

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-10-28 DOI: 10.1016/j.dss.2024.114352

Cecil Eng Huang Chua , Fred Niederman

{"title":"Returning the “socio” to decision support research: Expanding beyond a purely technical mindset","authors":"Cecil Eng Huang Chua , Fred Niederman","doi":"10.1016/j.dss.2024.114352","DOIUrl":"10.1016/j.dss.2024.114352","url":null,"abstract":"<div><div>This editorial essay argues the design science decision support literature has unduly focused on developing technical systems when organizational problem solving and decision making often require socio-technical ones. Decision making in uncertain environments requires other aspects the technical view actively suppresses, such as effectiveness and innovation. We explore this in a three-step argument. First, we show the necessity of a socio-technical mindset using the example of how cholera was demonstrated to be a waterborne disease in 1854 London in two independent investigations - one technical and one socio-technical. The insights from the socio-technical investigation were ultimately found correct; the technical one arrived at a completely wrong conclusion. Second, we argue authors are discouraged from publishing research on socio-technical design artifacts. We use spreadsheets as an example, and show developers prefer publishing their incremental contributions in other outlets. Puzzlingly, researchers prefer publishing technical design science contributions in DSS journal given their preponderance in our pages. Thus, in our third step, we argue the lack of socio-technical design science research arises from a mismatch of evaluation criteria. We suggest DSS journal cultivate a subset of editorial board members with a socio-technical mindset to apply the appropriate criteria while encouraging submissions of this type.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114352"},"PeriodicalIF":6.7,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553841","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

Foot in both camps: How do activities on third-party online healthcare platforms affect doctors' demand on official online healthcare platforms? 两面夹击：第三方在线医疗平台上的活动如何影响医生对官方在线医疗平台的需求？

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-10-16 DOI: 10.1016/j.dss.2024.114350

Heng Zhao , Sijia Zhou

引用次数: 0

Strategic analysis of an ad-supported content platform’s subsidy policy: The perspective of the producer’s pricing strategies 广告支持内容平台补贴政策的战略分析：从生产者定价策略的角度看广告内容平台的补贴政策

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-10-09 DOI: 10.1016/j.dss.2024.114349

Dan Gao , He Xu , Pin Zhou

{"title":"Strategic analysis of an ad-supported content platform’s subsidy policy: The perspective of the producer’s pricing strategies","authors":"Dan Gao , He Xu , Pin Zhou","doi":"10.1016/j.dss.2024.114349","DOIUrl":"10.1016/j.dss.2024.114349","url":null,"abstract":"<div><div>We consider a content market with an ad-supported content platform and a representative producer in the presence of altruistic consumers. The platform may launch different subsidy policies (i.e., a monetary subsidy based on the content demand that directly improves marginal profit or a traffic subsidy that directly improves content quality), and the producer creates content under two pricing strategies (i.e., a fixed pricing strategy and a pay-as-you-wish strategy where consumer can pay for the content as they wish). We develop a stylized model and investigate which subsidy policy is a better choice for the platform when the producer is delegated pricing power. Under a fixed pricing strategy, the platform gets a higher profit in the traffic subsidy policy when the consumers’ basic utility is not too low or the quality cost is small, while the producer gets a higher profit in the traffic subsidy when consumers’ basic utility is high or the quality cost is small. Hence, both subsidy policies can achieve the “win-win” situation under certain conditions. Under the pay-as-you-wish strategy, the platform always gets a higher profit in the traffic subsidy policy, while the producer gets a higher profit in the traffic subsidy policy when the consumers’ basic utility for content is high. Hence, only the traffic subsidy policy can achieve the “win-win” situation under certain conditions. Due to the tradeoff between the subsidy enhancement effect on quality and the quality cost, we observe that although the traffic subsidy policy brings a higher content quality than the monetary subsidy policy under both pricing strategies, the producer can increase or decrease his content quality in the traffic subsidy policy compared with the monetary subsidy policy. Our paper provides guidance on how content platforms can provide the right subsidy policy to the producer.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114349"},"PeriodicalIF":6.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530949","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