Decision Support Systems最新文献_第2页

Reassessing taxonomy-based data clustering: Unveiling insights and guidelines for application 重新评估基于分类法的数据聚类：揭示应用见解和指导原则

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-10-01 DOI: 10.1016/j.dss.2024.114344

Maximilian Heumann , Tobias Kraschewski , Oliver Werth , Michael H. Breitner

{"title":"Reassessing taxonomy-based data clustering: Unveiling insights and guidelines for application","authors":"Maximilian Heumann , Tobias Kraschewski , Oliver Werth , Michael H. Breitner","doi":"10.1016/j.dss.2024.114344","DOIUrl":"10.1016/j.dss.2024.114344","url":null,"abstract":"<div><div>Clustering for taxonomy-based archetype identification has become an established method in Information Systems (IS) research, aiding strategic decision-making across diverse research and business domains. However, the effectiveness of the approach depends critically on the compatibility of clustering methods and algorithms with the specific data characteristics. This study, based on a comprehensive review of 87 articles employing taxonomy-based clustering in IS research, reveals a notable mismatch between the chosen clustering algorithms and the nature of the data, particularly in the context of archetype development from taxonomy-based data. To address these methodological inconsistencies, we introduce a set of clustering guidelines tailored to the unique requirements of archetype development from taxonomy-based data. These guidelines are informed by a computational study involving seven identified datasets from the taxonomy-building literature, ensuring their practical applicability and scientific relevance. Our guidelines are designed to enhance the robustness and scientific validity of insights and decisions derived from taxonomy-based clustering. By improving the methodological rigor of clustering methods, our research addresses a critical mismatch in current practices and contributes to enhancing the quality of decision-making informed by taxonomy-based analysis in IS research.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114344"},"PeriodicalIF":6.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423768","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

The impact of emotional expression by artificial intelligence recommendation chatbots on perceived humanness and social interactivity 人工智能推荐聊天机器人的情感表达对人性化感知和社交互动的影响

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-30 DOI: 10.1016/j.dss.2024.114347

Junbo Zhang , Xiaolei Wang , Jiandong Lu , Luning Liu , Yuqiang Feng

{"title":"The impact of emotional expression by artificial intelligence recommendation chatbots on perceived humanness and social interactivity","authors":"Junbo Zhang , Xiaolei Wang , Jiandong Lu , Luning Liu , Yuqiang Feng","doi":"10.1016/j.dss.2024.114347","DOIUrl":"10.1016/j.dss.2024.114347","url":null,"abstract":"<div><div>Artificial intelligence-powered chatbots capable of expressing emotions have gained significant popularity in the realm of customer service. Although previous studies have explored the impact of emotional expression in chatbots, there is a lack of understanding regarding the precise effects of different emotional cues. In this study, we drew upon social presence theory to investigate how different emotional cues conveyed by recommendation chatbots affect perceived humanness, social interactivity, and social presence. We conducted a series of scenario-based online experiments to shed light on these dynamics. We found that all three emotional cues (text, emoticons, and images) employed by chatbots can increase perceived humanness and social interactivity. Social presence appears to be an underlying mechanism for these positive relationships. We also observed two-way interactions for any pair of emotional cues and a three-way interaction for all three emotional cues. Ultimately, to elicit the most favorable customer perception, we propose that a mode of emotional expression using either text or emoticons alone is most appropriate. These findings deepen our understanding of the impact of emotional expressions in chatbots and offer novel insights into how to deploy chatbots in customer service.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114347"},"PeriodicalIF":6.7,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423311","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

Flowing together or alone: Impact of collaboration in the metaverse 同流还是独流？元宇宙中合作的影响

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-30 DOI: 10.1016/j.dss.2024.114346

Fiona Fui-Hoon Nah , Brenda Eschenbrenner , Langtao Chen

{"title":"Flowing together or alone: Impact of collaboration in the metaverse","authors":"Fiona Fui-Hoon Nah , Brenda Eschenbrenner , Langtao Chen","doi":"10.1016/j.dss.2024.114346","DOIUrl":"10.1016/j.dss.2024.114346","url":null,"abstract":"<div><div>The metaverse is the next-generation Internet (Web3) that facilitates social connections and collaborations in a virtual world environment. Given the potential of the metaverse to provide more satisfying and effective means of remote collaborations, exploring the possibility of leveraging the metaverse for these endeavors is warranted. Therefore, an important question to address is whether greater engagement occurs when tasks are completed collaboratively versus individually in the metaverse. We address this question by drawing on flow and transportation theories to hypothesize the effect of carrying out a creative task in the metaverse collaboratively versus alone on one's cognitive absorption, a contextually relevant proxy for the flow experience. In the context of the metaverse, cognitive absorption refers to the heightened enjoyment experienced when one is immersed and “transported” into the metaverse while maintaining a sense of curiosity and control as well as perceiving a distorted sense of time. We conducted a laboratory experiment to test our research hypotheses. The results indicate that collaborations in the metaverse enhance cognitive absorption. Cognitive absorption, in turn, increases outcome satisfaction and intention to use the metaverse. The findings provide theoretical contributions by enhancing the nomological network of cognitive absorption as well as explaining how computer-mediated collaborations can facilitate the virtual transportation of users into the metaverse. The findings also offer insights and guidance for enhancing cognitive absorption and outcome satisfaction in the metaverse as well as the intention to use the metaverse.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114346"},"PeriodicalIF":6.7,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530948","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

Team formation in large organizations: A deep reinforcement learning approach 大型组织中的团队组建：深度强化学习方法

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-26 DOI: 10.1016/j.dss.2024.114343

Bing Lv , Junji Jiang , Likang Wu , Hongke Zhao

{"title":"Team formation in large organizations: A deep reinforcement learning approach","authors":"Bing Lv , Junji Jiang , Likang Wu , Hongke Zhao","doi":"10.1016/j.dss.2024.114343","DOIUrl":"10.1016/j.dss.2024.114343","url":null,"abstract":"<div><div>Efficient team formation is critical to human resource management, particularly as large enterprise organizations continue to flatten and are increasingly driven by projects. Efficiently scheduling internal departments and reducing employee scheduling costs are essential objectives. This paper addresses the challenge of extracting employees from the existing network who possess the necessary skills to meet project requirements while minimizing the disruption to the original department network. To tackle this problem, we model the organization as a graph, where each employee is a node, and edges represent communication between them. We formulate team formation as a combinatorial optimization problem on the graph. We first innovatively design the employee replacement and organizational measures for changing structures on the graph. To overcome the complexity of team formation under vast organizational structures and resource constraints, we propose the Graph Combinatorial Optimization DQN framework. This novel approach combines reinforcement learning and graph neural networks. By leveraging graph neural networks, we learn employee representations based on their basic information, skills, and communication patterns with other employees. Furthermore, during testing, we enable the agent to continuously improve its solutions through learning and avoid the pitfall of optimizing early decisions that may hinder the modification of later decisions. This is achieved by incrementally building subsets of solutions. We demonstrate the superiority of the GCO-DQN framework using both the real-world enterprise dataset and a synthetic dataset by comparing GCO-DQN with five state-of-the-art methods.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114343"},"PeriodicalIF":6.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423310","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

Addressing staffing challenges through improved planning: Demand-driven course schedule planning and instructor assignment in higher education 通过改进规划应对人员配置挑战：高等教育中以需求为导向的课程表规划和教师分配

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-25 DOI: 10.1016/j.dss.2024.114345

Guisen Xue, O. Felix Offodile, Rouzbeh Razavi, Dong-Heon Kwak, Jose Benitez

{"title":"Addressing staffing challenges through improved planning: Demand-driven course schedule planning and instructor assignment in higher education","authors":"Guisen Xue, O. Felix Offodile, Rouzbeh Razavi, Dong-Heon Kwak, Jose Benitez","doi":"10.1016/j.dss.2024.114345","DOIUrl":"10.1016/j.dss.2024.114345","url":null,"abstract":"<div><div>This paper presents a novel decision support system (DSS) to address the University Course Timetabling Problem (UCTP). The solution decomposes the NP-complete UCTP into two sub-problems, allowing a structured approach to addressing the complexities inherent in the UCTP process. A mixed integer linear programming (MILP) model is proposed to integrate academic year course schedule planning and instructor assignment, accommodating various constraints to meet student demands. The model optimizes the number of course sections and strategically schedules instructors, aiming to reduce the number of new and distinct courses assigned to them. Historical data from an academic department encompassing multiple disciplines, including Computer Information Systems, Business Management, and Business Analytics, at a large public university in the U.S. is used to develop the model, and the results are compared with the actual course schedule and instructor assignment. The results demonstrate that the proposed DSS would result in a 14 % reduction in the number of course sections offered, translating to approximately $130,000 in annual savings. Additionally, it could significantly reduce the number of new courses assigned to instructors by up to 81 % and the number of distinct course sections assigned to them by 29 %.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114345"},"PeriodicalIF":6.7,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357657","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

“Why do you find similar reviews helpful?”: Psychological mechanisms of the effect of linguistic style matching on review helpfulness "为什么您觉得类似评论对您有帮助？语言风格匹配对评论有用性影响的心理机制

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-20 DOI: 10.1016/j.dss.2024.114340

David Sugianto Lie , Ali Gohary , Pei-Yu Chien , Bach To Nhu Truong

引用次数: 0

Competency or investment? The impact of NFT design features on product performance 能力还是投资？NFT 设计特点对产品性能的影响

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-20 DOI: 10.1016/j.dss.2024.114341

Yanxin Wang, Jingzhao An, Xi Zhao, Xiaoni Lu

引用次数: 0

Session context data integration to address the cold start problem in e-commerce recommender systems 整合会话上下文数据，解决电子商务推荐系统中的冷启动问题

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-19 DOI: 10.1016/j.dss.2024.114339

Ramazan Esmeli , Hassana Abdullahi , Mohamed Bader-El-Den , Ali Selcuk Can

{"title":"Session context data integration to address the cold start problem in e-commerce recommender systems","authors":"Ramazan Esmeli , Hassana Abdullahi , Mohamed Bader-El-Den , Ali Selcuk Can","doi":"10.1016/j.dss.2024.114339","DOIUrl":"10.1016/j.dss.2024.114339","url":null,"abstract":"<div><div>Recommender systems play an important role in identifying and filtering relevant products based on the behaviours of users. Nevertheless, recommender systems suffer from the ‘cold-start’ problem, which occurs when no prior information about a new session or a user is available. Many approaches to solving the cold-start problem have been presented in the literature. However, there is still room for improving the performance of recommender systems in the cold-start stage. In this article, we present a novel method to alleviate the cold-start problem in session-based recommender systems. The purpose of this work is to develop a session similarity-based cold-start session alleviation approach for recommendation systems. The developed method uses previous sessions’ contextual and temporal features to find sessions similar to the newly started one. Our results on three different datasets show that, based on the provided Mean Average Precision and Normalised Discounted Cumulative Gain scores, the Session Similarity-based Framework consistently outperforms baseline models in terms of recommendation relevance and ranking quality across three used datasets. Our approach can be used to address the challenges associated with cold start sessions where no previously interacted items are present.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114339"},"PeriodicalIF":6.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142311649","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

Shaping innovation pathways: Metaverse application configurations in high-technology small- and medium-sized enterprises 塑造创新之路：高科技中小企业的元数据应用配置

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-19 DOI: 10.1016/j.dss.2024.114336

Jianwen Zheng , Justin Zuopeng Zhang , Kai Ming Au , Veda C. Storey , Huan Wang , Yifan Yang

{"title":"Shaping innovation pathways: Metaverse application configurations in high-technology small- and medium-sized enterprises","authors":"Jianwen Zheng , Justin Zuopeng Zhang , Kai Ming Au , Veda C. Storey , Huan Wang , Yifan Yang","doi":"10.1016/j.dss.2024.114336","DOIUrl":"10.1016/j.dss.2024.114336","url":null,"abstract":"<div><div>The emergence of Industry 4.0, characterized by rapid technological change and fierce competition, challenges technology firms to make strategic innovation decisions. Central to this is the metaverse, a hybrid virtual space combining virtual reality, augmented reality, and the internet. Recognizing that the implications of metaverse applications extend beyond individual organizations, this research examines its adoption configurations. Using the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, we analyze survey data from 116 high-technology small and medium-sized enterprises in China using fuzzy-set qualitative comparative analysis (fsQCA). Our research reveals that no isolated factor within the TAM-TOE framework solely affects innovation decision-making. Instead, we identify three configurations that enhance decision-making quality and three that increase its speed, leading to improved innovation performance. In this way, this research advances the understanding of technology adoption configurations in the innovation processes of young tech firms.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114336"},"PeriodicalIF":6.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327172","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

Responsible metaverse: Ethical metaverse principles for guiding decision-making and maintaining complex relationships for businesses in 3D virtual spaces 负责任的元宇宙：指导三维虚拟空间中企业决策和维护复杂关系的元宇宙伦理原则

IF 6.7 1区计算机科学

Decision Support Systems Pub Date : 2024-09-18 DOI: 10.1016/j.dss.2024.114337

Rajat Kumar Behera , Marijn Janssen , Nripendra P. Rana , Pradip Kumar Bala , Debarun Chakraborty

{"title":"Responsible metaverse: Ethical metaverse principles for guiding decision-making and maintaining complex relationships for businesses in 3D virtual spaces","authors":"Rajat Kumar Behera , Marijn Janssen , Nripendra P. Rana , Pradip Kumar Bala , Debarun Chakraborty","doi":"10.1016/j.dss.2024.114337","DOIUrl":"10.1016/j.dss.2024.114337","url":null,"abstract":"<div><p>A metaverse is a three-dimensional virtual space (3D VS) where businesses and individuals worldwide can engage, interact, communicate, transact, and exchange information in real-time through an immersive and collaborative platform. These interactions can create complex relationships influenced by the decision-making processes of businesses. Such complexity can lead to challenges in maintaining relationships, ensuring exclusiveness, preventing misuse, and addressing other ethical issues. Therefore, this study aims to identify ethical principles within the metaverse to guide decision-making and maintain complex relationships between users and businesses. Both qualitative and quantitative data were collected for analysis, and simple random sampling was employed for primary data collection. The empirical analysis was conducted using a mixed-method approach. The study identified four ethical principles that guide complex relationships within the metaverse: business benefit evaluation, fairness, explainability, and reliability principles. These principles positively influence decision-making, which, in turn, positively affects the maintenance of complex relationships within 3D VS.</p></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114337"},"PeriodicalIF":6.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167923624001702/pdfft?md5=7a03ad443ef110698e880d5846d7f731&pid=1-s2.0-S0167923624001702-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142270999","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