2025

最新文章

• FAKE NEWS AND TRUE NEWS ASSESSMENT: THE PERSUASIVE EFFECT OF DISCURSIVE EVIDENCE IN JUDGING VERACITY AI翻译
  作者：Baiyere, Abayomi; Bauer, Jan M.; Constantiou, Ioanna; Hardt, Daniel
  作者单位：Queens University - Canada; Copenhagen Business School; Copenhagen Business School
  摘要：Individuals are often unable to assess the veracity of news claims-especially on social media platforms. Recent research has suggested that interventions indicating normative signals, such as flagging false claims, are not always effective. We propose an approach in which users are provided with discursive evidence to consider in determining the veracity of claims rather than depending on normative true or false flags. We conducted a series of experiments to explore the effects of different fo...
• Global by Design: Reaffirming Our Commitment to Inclusive IS Scholarship AI翻译
  作者：Carter, Michelle; Brown, Susan
• ENGAGING PHYSICIANS WITH INTRODUCTORY INCENTIVES: REFERENCES TO ONLINE AND OFFLINE INCOME AI翻译
  作者：Zhang, Xiaofei; Xie, Karen; Gu, Bin; Guo, Xitong
  作者单位：Harbin Institute of Technology; University of Connecticut; Boston University; Sichuan University
  摘要：Incentives make or break user contributions. While providing introductory incentives to attract new users has become increasingly popular among online communities, their impact on user contributions remains largely unknown. Utilizing a policy change that doubled the incentives paid to physicians in a leading online health community, we examined the impacts of both the initiation and the termination of such introductory incentives on physician contributions (in terms ofpatient consultations) an...
• INFORMATION TECHNOLOGY FIRMS AND REVENUE STALL, 1950-2015: THEORY AND EMPIRICAL EVIDENCE AI翻译
  作者：Saldanha, Terence J. V.; Mithas, Sunil; Mayya, Raveesh
  作者单位：University System of Georgia; University of Georgia; State University System of Florida; University of South Florida; New York University
  摘要：A slowdown in revenue growth, referred to as revenue stall in this study, is a key concern for any firm. We examine how information technology-producing firms (i.e., IT firms) differ from non-IT firms in experiencing revenue stall and in benefiting from R&D investments in terms of reduced revenue stall. We hypothesize that whereas IT firms experience more revenue stall than non-IT firms, R&D investments reduce revenue stall to a greater extent in IT firms than in non-IT firms. Our empirical an...
• AUTOMATING IN HIGH-EXPERTISE, LOW-LABEL ENVIRONMENTS: EVIDENCE-BASED MEDICINE BY EXPERT-AUGMENTED FEW-SHOT LEARNING AI翻译
  作者：Liu, Rong; Li, Jingjing; Zivkovic, Marko; Abbasi, Ahmed
  作者单位：State University System of Florida; Florida International University; University of Notre Dame
  摘要：Many real-world process automation environments are rife with high-expertise and limited labeled data. We propose a computational design science artifact to automate systematic review (SR) in such an environment. SR is a manual process that collects and synthesizes data from medical literature to inform medical decisions and improve clinical practice. Existing machine learning solutions for SR automation suffer from a lack of labeled data and a misrepresentation of the high-expertise manual pr...
• DELIBERATIVE OR AUTOMATIC: DISENTANGLING THE DUAL PROCESSES BEHIND THE PERSUASIVE POWER OF ONLINE WORD-OF-MOUTH AI翻译
  作者：Lei, Zhanfei; Yin, Dezhi; Zhang, Han
  作者单位：University of Massachusetts System; University of Massachusetts Amherst; State University System of Florida; University of South Florida; University System of Georgia; Georgia Institute of Technology; Hong Kong Baptist University
  摘要：As online reviews become increasingly indispensable for consumers, they have attracted significant attention from both practitioners and researchers. It is a common belief that the persuasive effect of online reviews involves a deliberative and conscious process. Drawing on dual-process theories and the persuasion literature, we challenge this conventional wisdom, distinguish Type 2 processing (which requires deliberation) and Type 1 processing (which occurs automatically), and disentangle the...
• Quantitative Behavioral IS Research-A Look Back and a Look Forward AI翻译
  作者：Maruping, Likoebe; Yin, Dezhi; Chen, Adela; Kankanhalli, Atreyi; Burton-Jones, Andrew; Brown, Susan
• CORRECTING MEASUREMENT ERROR IN REGRESSION MODELS WITH VARIABLES CONSTRUCTED FROM AGGREGATED OUTPUT OF DATA MINING MODELS AI翻译
  作者：Qiao, Mengke; Huang, Ke-Wei
  作者单位：University of Alabama System; University of Alabama Tuscaloosa; National University of Singapore
  摘要：The burgeoning interest in data mining has catalyzed a proliferation of innovative techniques in extracting useful information from unstructured data sources, such as text and images in social sciences. One typical research design involves a two-stage process. In the first stage, researchers apply the classification algorithm to predict an individual-level categorical variable. In the second stage, researchers aggregate the predicted values to construct a group-level variable for further regre...
• EDITOR'S COMMENTS: Beyond Green IT: From Digital Sustainability to Responsible Technology AI翻译
  作者：Brown, Susan
• THE FOG OF WARNINGS: HOW NON-SECURITY-RELATED NOTIFICATIONS DIMINISH THE EFFICACY OF SECURITY WARNINGS AI翻译
  作者：Vance, Anthony; Eargle, Dave; Kirwan, C. Brock; Anderson, Bonnie Brinton; Jenkins, Jeffrey L.
  作者单位：Virginia Polytechnic Institute & State University; University of Pennsylvania; Brigham Young University
  摘要：Users' disregard of security warnings is a critical problem in cybersecurity. This problem worsens when people confuse security warnings with common, non-security-related notifications, which they learn to routinely disregard. We investigate this problem through the neurobiological phenomenon of generalization of habituation, where habituation to one stimulus transfers to another stimulus that shares similar characteristics. Generalization of habituation suggests that because of habituation to...