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作者：Bhattacharya, Siddharth; Kennedy, Heather; Venkatraman, Vinod; Wattal, Sunil
作者单位：George Mason University; University of Guelph; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：It is increasingly common for consumers to engage with various tasks on their personal devices amid other distractions such as watching television at home, shopping at malls, or attending concerts. While this split in attention poses challenges, it also opens valuable opportunities for advertisers to strategically push targeted advertisements based on information about the user's environment. Across a series of controlled lab experiments using a custom app developed for this study, we demonstr...
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作者：Pethig, Florian; Hoehle, Hartmut; Hui, Kai-Lung; Lanz, Andreas
作者单位：Tilburg University; University of Mannheim; Hong Kong University of Science & Technology; University of Basel
摘要：In this paper, we study whether and how behavior toward newcomers impacts their socialization outcomes in terms of retention and the quality of contributions in online communities. By exploiting a natural experiment on a large deal-sharing platform, we found that an intervention that proactively reminds other community members to be more considerate of newcomers caused newcomer deals to receive 54% more comments and increased the positive sentiment of the comments. The newcomers in the treatme...
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作者：Pine, Kathleen H.; Mazmanian, Melissa
作者单位：University of California System; University of California Irvine
摘要：In recent years, a huge amount of excitement has surrounded the potential to transform organizations and institutions through evidence-based or data-driven decision-making. However, such promises are often premised on a stable view of data quality. In this paper, we take a practice perspective on data integrity, asking how attempts to leverage data at one point in a data ecosystem can ripple unexpectedly, triggering a breakdown in the integrity of data resources at another point in the ecosyst...
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作者：Zhang, Xiaojie; Fang, Yulin; Zhou, Jingmei; Lim, Kai H.
作者单位：Ocean University of China; University of Hong Kong; Renmin University of China; Hong Kong Polytechnic University
摘要：Contemporary IT project teams engage in creative problem solving to address increasingly complex business problems, highlighting the need to promote IT project team creativity. Collaboration technologies are widely used in IT project teams, but little is known about what collaboration technology features can be used to improve IT project team creativity and what the underlying influencing mechanisms are. To address this important gap, the current study builds on the extended team knowledge fra...
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作者：Schneier, Bruce; Vance, Anthony
作者单位：Harvard University; Virginia Polytechnic Institute & State University
摘要：Writing about computer systems twenty-five years ago, Schneier wrote that the worst enemy of security is complexity (Schneier, 1999), because complex systems are both easier to attack and harder to secure than simpler ones. In this essay, we provide an overview of Schneier's complexity principle and provide our observations of how two articles in this issue, Liang et al. (2025) and Tanriverdi et al. (2025), employed this principle in their research. We also offer our ideas for why complexity a...
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作者：Han, Xiao; Wang, Leye; Wu, Junjie; Fang, Xiao
作者单位：Beihang University; Beihang University; Peking University; Peking University; University of Delaware
摘要：Vertical federated learning (VFL) is a promising paradigm for predictive analytics, empowering an organization (i.e., taskparty) to enhance its predictive models through collaborations with multiple data suppliers (i.e., data parties) in a decentralized and privacy-preserving way. Despite the fast-growing interest in VFL, the lack of effective and secure tools for assessing the value of data owned by data parties hinders the application of VFL in business contexts. In response, we propose FedV...
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作者：Qu, Xinxue (shawn); Darku, Francis Bilson; Guo, Hong
作者单位：University of Notre Dame; Arizona State University; Arizona State University-Tempe
摘要：Despite its many benefits, widespread access to individuals' personal data also causes severe privacy concerns for consumers, companies, and policymakers. This study proposes a novel framework that adapts the Shapley value-based feature attribution approach to the problem domain of data privacy by capturing the two crucial dimensions of data privacy-disclosure risk and data utility. Our proposed framework takes a holistic view of data masking through a fair feature attribution approach based o...
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作者：Du, Qianzhou; Zhang, Xiaohui; Zhang, Zhongju
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; Arizona State University; Arizona State University-Tempe
摘要：We examine the effects of crowd characteristics on crowd value, which is measured by the improvement in the power to predict stock volatility using crowd-generated content. Leveraging a natural platform-wide event that changes the crowd compositions of S&P 500 stock discussions, we found empirical evidence that content from a larger crowd size is associated with a higher crowd value. Moreover, the magnitude of the effect of crowd size on crowd value decreases with increased diversity of the cr...
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作者：Ebrahimi, Reza; Chai, Yidong; Li, Weifeng; Pacheco, Jason; Chen, Hsinchun
作者单位：State University System of Florida; University of South Florida; Hefei University of Technology; City University of Hong Kong; University System of Georgia; University of Georgia; University of Arizona; University of Arizona
摘要：Artificial intelligence (AI) is being widely adopted in modern cyber defense to weave automation and scalability into the operational fabric of cybersecurity firms. Today, AI aids in crucial cyber defense tasks such as malware and intrusion detection to keep information technology (IT) infrastructure secure. Despite their value, cyber defense AI agents can be vulnerable to adversarial attacks. In these attacks, the adversary deliberately manipulates a malicious input by taking a sequence of ac...
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作者：Raimi, Ryan; Kim, Antino; Ayabakan, Sezgin; Dennis, Alan R.
作者单位：University of Texas System; University of Texas Dallas; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Only a fraction ofpeople with mental health issues seek medical care, in part because offear ofjudgment, so deploying text-based conversational agents (i.e., chatbots) for mental health screening is often viewed as a way to lower barriers to mental health care. We conducted four experiments and a qualitative study and, contrary to common assumptions, consistently found that participants perceived a text-based chatbot as more judgmental than a human mental health care professional, even though ...
