{"title":"Shaping Patient Feedback: The Role of Physicians’ Communication Cues in Online Health Communities","authors":"Anfei Xia, Jian-Jun Wang, Jingguo Wang","doi":"10.1007/s10796-026-10796-2","DOIUrl":"https://doi.org/10.1007/s10796-026-10796-2","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"54 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148538222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
{"title":"Beyond the Lookup: Simulating Realistic User Uncertainty for the Evaluation of Conversational Agentic Recommenders","authors":"Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro","doi":"10.1007/s10796-026-10787-3","DOIUrl":"https://doi.org/10.1007/s10796-026-10787-3","url":null,"abstract":"The evaluation of Conversational Recommender Systems necessitates robust protocols to measure utility and user satisfaction. While human-in-the-loop testing remains the gold standard, scalability and reproducibility constraints have driven the field toward User Simulators. However, current simulation paradigms predominantly utilize rigid templates or closed-source Large Language Models that exhibit idealized behaviors. These approaches fail to capture user ambiguity, resulting in benchmarks that overestimate system proficiency by assuming crystallized user intent. To address this limitation, we introduce a family of open-weight user simulation models capable of generalizing across diverse e-commerce domains. Leveraging Teacher-Student distillation, we operationalize three distinct behavioral stereotypes: <jats:italic>Direct</jats:italic> , <jats:italic>Vague-Proactive</jats:italic> , and <jats:italic>Vague-Reactive</jats:italic> . Our evaluation of state-of-the-art Agentic Generative Conversational Recommender Systems reveals a critical Robustness Gap : while agents perform proficiently with decisive users, performance collapses when facing passivity and ambiguity. These findings underscore the necessity of our scalable framework for rigorously stress-testing the next generation of conversational agents against realistic, non-cooperative user behaviors.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"51 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148538223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Scalable Open AI Model Evals: Predicting Highly Adopted Open Models","authors":"Mana Azarm, Esmat Sangari","doi":"10.1007/s10796-026-10760-0","DOIUrl":"https://doi.org/10.1007/s10796-026-10760-0","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"246 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148538224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Amin Kuhail, Saifeddin Alimamy, Sana Khan, Jihene Mrabet
{"title":"“Can Chatbots Foster Co-Creation in Collaborative Holiday Planning?” An Expectancy-Value Perspective","authors":"Mohammad Amin Kuhail, Saifeddin Alimamy, Sana Khan, Jihene Mrabet","doi":"10.1007/s10796-026-10784-6","DOIUrl":"https://doi.org/10.1007/s10796-026-10784-6","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"14 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148538226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shaping the Journey: How GenAI-enabled Mobile Interfaces Transform Visitor Experiences in Tourism Contexts","authors":"Kareem M. Selem","doi":"10.1007/s10796-026-10786-4","DOIUrl":"https://doi.org/10.1007/s10796-026-10786-4","url":null,"abstract":"Drawing on Gestalt theory and cognitive load theory, this paper takes an exploratory qualitative approach to understanding users’ perceptions and expectations of GenAI-enabled mobile apps for tourism. Methodologically, 27 users of travel apps were interviewed using semi-structured interviews to evaluate visual and functional aspects of a conceptual app design. Results showed that users have service quality expectations, visual appeal, and enjoyment, driven by intuitive navigation, visual consistency, and cognitive load. Visual design was found to be an aesthetic attribute, with expected enjoyment related to simplicity, interactivity, and clarity. Findings suggest that users assess such technologies and form expectations based on the anticipated interplay among visual, functional, and interactive elements. This paper bridges perceptual and cognitive approaches to inform tourism research by showing how conceptual app designs can evoke user expectations early in innovation processes. Results offer a theoretically grounded guide to GenAI-enabled tourism app designs that align with user expectations, enabling experience transformation in emerging tourism markets.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"41 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148440896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Low-Latency Video Analytics Framework for Emotion Recognition and Stress Inference Using Region-Aware Swin–FANE and Temporal Modelling","authors":"Pankaj Mishra, Sanskar Parab, Tanisha Saha, Wen Gu, Shohei Kato","doi":"10.1007/s10796-026-10789-1","DOIUrl":"https://doi.org/10.1007/s10796-026-10789-1","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"13 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148431960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The More the Better? Impact of Social Media Use on Fundraising Performance in Initial Coin Offerings","authors":"Mengfan Xuan, Xinyu Zhu, J. Leon Zhao","doi":"10.1007/s10796-026-10761-z","DOIUrl":"https://doi.org/10.1007/s10796-026-10761-z","url":null,"abstract":"","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"50 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148431961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of Hallucination Risk and Algorithm Aversion on Organizational Knowledge Seeking with Generative AI","authors":"Philipp Pecher, Felix Kegel, Lutz M. Kolbe","doi":"10.1007/s10796-026-10790-8","DOIUrl":"https://doi.org/10.1007/s10796-026-10790-8","url":null,"abstract":"Knowledge transfer remains a persistent challenge in knowledge management. One crucial component is knowledge seeking, defined as the willingness to acquire new knowledge. The rise of generative artificial intelligence (GenAI) will transform knowledge seeking by enabling instant, user-tailored information retrieval. However, these benefits come with risks, including hallucinations and algorithm aversion, which require critical attention in the context of information retrieval. Based on social exchange theory and the decomposed theory of planned behavior, we hypothesize that the risk of hallucinations and algorithm aversion will affect the drivers of knowledge seeking with GenAI. A field study ( <jats:italic>n</jats:italic> = 263) conducted in an organizational setting shows that perceived hallucination risk and algorithm aversion have significant negative effects on several drivers of system adoption and use. The findings highlight the need to address these risks to foster individual knowledge-seeking behavior and enable the effective integration of GenAI as a component of knowledge management systems.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"43 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148428852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ioannis Oikonomidis, Athanasios Sakkas, Dimitris Zissis
{"title":"Pricing Systems for Residential Electricity Markets: Consumer Protection and Comparison of Pricing Policies","authors":"Ioannis Oikonomidis, Athanasios Sakkas, Dimitris Zissis","doi":"10.1007/s10796-026-10766-8","DOIUrl":"https://doi.org/10.1007/s10796-026-10766-8","url":null,"abstract":"Dynamic pricing is increasingly adopted in the electricity sector, as it promotes renewable energy integration and aligns retail prices with wholesale market prices, enhancing pricing fairness. However, its successful application in the residential electricity sector raises two major challenges: non-responsive or otherwise inflexible households may face increased costs, and the real-time disclosure of consumption data may enable non-intrusive load monitoring and, consequently, behavioral profiling. This study adopts the perspective of the market regulator and proposes a set of design and auditing mechanisms to mitigate the adverse effects of dynamic pricing. First, it derives protection-by-design admissibility constraints for common dynamic pricing families that rule out structures incentivizing suppliers to target non-responsive households. Second, this work introduces an audit procedure that calibrates heterogeneous pricing policies to yield the same expected supplier profit over a baseline population of non-responsive consumers. This procedure facilitates comparison among tariff families and the identification of hidden markups that may encourage product proliferation and influence consumer choice. Third, it identifies the aggregated consumption statistics required to support billing under different policies, thereby addressing the privacy concerns by minimizing the consumer data accessed by the supplier. The proposed regulatory governance interventions are demonstrated in an empirical application using one year of hourly consumption data from 211 Greek households and the corresponding Hellenic Energy Exchange day-ahead market prices.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"29 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148428870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lisa-Yao Gan, Johanna Walker, Elena Simperl, Klaus Diepold
{"title":"Towards Conversational Dataset Retrieval: A Survey","authors":"Lisa-Yao Gan, Johanna Walker, Elena Simperl, Klaus Diepold","doi":"10.1007/s10796-026-10777-5","DOIUrl":"https://doi.org/10.1007/s10796-026-10777-5","url":null,"abstract":"Large language models (LLMs) have sparked renewed interest in Conversational Information Retrieval (CIR). Within this shift, Conversational Dataset Retrieval (CDR) is emerging as a new subfield that focuses on using natural, context-aware dialogue to discover structured and semi-structured datasets. We present the first integrative review of this rapidly evolving landscape. We synthesise insights from 44 publications spanning user studies, conversational system design choices, dataset representation and access, and evaluation methods. We introduce a novel, layered conceptual framework that organizes research in CDR across four key dimensions: User Layer, System Layer, Data Layer, and Evaluation Layer. This framework is used to highlight recurring design patterns, technical advances, and persistent gaps. Our analysis identifies core challenges in CDR, including the lack of standardized evaluation benchmarks and limited support for ambiguous or evolving user intent. The aim of this survey is to provide a structured foundation for future research on CDR and guide the development of more interactive, intelligent, and user-centric dataset retrieval systems.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"11 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148428853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}