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作者：Ansari, Kimia; Ghasemaghaei, Maryam
作者单位：University of Manitoba; University of Manitoba I.H. Asper School of Business; McMaster University
摘要：Integrating artificial intelligence (AI) into organizations introduces challenges, particularly when AI-generated recommendations conflict with human judgment. Drawing on the theory of cooperation and competition and cognitive dissonance theory, we examine how human-AI conflict (low vs. high) and human-AI goal interdependence (cooperation vs. competition) shape cognitive dissonance and AI aversion across critical and non-critical decisions. Using an experiment with 432 employees, results show ...
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作者：Zwass, Vladimir
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作者：Yu, Yinan; Yin, Dezhi; Khern-am-nuai, Warut
作者单位：University of Oklahoma System; University of Oklahoma - Norman; State University System of Florida; University of South Florida; McGill University
摘要：Most user-generated content platforms utilize peer evaluation systems that incorporate upvotes and downvotes to distinguish high-quality from low-quality content. However, downvotes are often misused to target others and discourage content creators, and some platforms, such as Amazon and TripAdvisor, have removed the downvote option altogether. Meanwhile, the real-world impact of this platform-level intervention on user contributions remains underexplored, and we fill this gap by analyzing a r...
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作者：Lee, Youhyun; Cheng, Hsing Kenneth; Qiu, Liangfei
作者单位：State University System of Florida; University of Florida
摘要：The integration of artificial intelligence (AI) with deep-tech products has been a transformative force across various industries. The synergy between AI and innovation continues to drive the development of cutting-edge solutions that shape the future of technology and business. This study examines the firm's strategic decision of whether to make its innovative AI product compatible with its rival's incumbent product. A compatible strategy allows the firm to generate more sales of the deep-tec...
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作者：Teng, Ching-, I; Huang, Tzu-Ling; Dennis, Alexander S.; Dennis, Alan R.; Liao, Gen-Yih
作者单位：Chang Gung University; Chang Gung Memorial Hospital; Ming Chi University of Technology; National Central University; Iowa State University; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; Chang Gung University
摘要：Online games are the most widely used information system application in the world, with more than 3 billion users. There are many game genres, each of which strives to provide compelling gameplay experiences by offering users a variety of affordances. As a result, understanding how each affordance influences gameplay routines and game loyalty in different genres is crucial for building theories about online games. We developed a theoretical framework of 15 motivational affordances that lead to...
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作者：Yuan, Lingyao (Ivy); Kim, Antino; Seymour, Mike; Dennis, Alan R.
作者单位：Iowa State University; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Sydney
摘要：A digital twin is an artificial intelligence (AI)- or human-controlled avatar that replicates a specific person's identity. While organizations have used digital twins of employees (e.g. digital doctors answering patients' questions), a more common use is celebrity-as-a-service, where digital twins of celebrities interact with customers. Unlike traditional celebrity endorsements in marketing videos, these digital-twin agents interact directly with consumers. Although digital twins do not enhan...
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作者：Liu, Feng; Chen, Yu; Ho, Yi-Chun (Chad); Dasgupta, Subhasish; Fang, Mingjie
作者单位：Shandong University; George Washington University; Nanjing Agricultural University
摘要：Charity crowdfunding campaigns rely on emotional appeals to elicit empathy-driven support, yet they often struggle to translate such appeals into fundraising success. Drawing on the elaboration likelihood model, this study examines how emotions conveyed through textual descriptions and facial images relate to fundraising outcomes in charity crowdfunding. Using data from a leading crowdfunding platform, we apply machine learning techniques to analyze emotional content across both textual and vi...
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作者：Soh, Franck; Grover, Varun
作者单位：Texas Christian University; University of Arkansas System; University of Arkansas Fayetteville
摘要：The number of mobile app startups is increasing, but these startups face an increasingly hypercompetitive environment. To ensure long-term returns on their investments, these startups need to mitigate new entry threats. This entails limiting competitors' ability to imitate products. However, a minimal amount is known about the factors that influence competitors' identification of imitation targets and their willingness to imitate. We propose a research model that focuses on these two aspects t...
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作者：Qiu, Jiangnan; Li, Mengjie; Gao, Shuangyan; Huang, Rongjiang; Ma, Zhongming; Li, Yan
作者单位：Dalian University of Technology; California State University System; California State Polytechnic University Pomona
摘要：In online knowledge communities (OKCs), humans and bots collaborate at massive scale, yet how their distinct resources shape collaboration patterns remains insufficiently understood. In particular, it is unclear whether humans consistently direct collaborative processes or whether bots can assume leading roles. Grounded in coordination theory, this study applies gSpan and local process model mining to 200 Wikipedia articles to examine how flow, fit, and sharing dependencies shape human-leadoff...
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作者：Wigdor, Ariel D.; Sheffler, Zachary J.; Hess, Traci J.
作者单位：University of North Texas System; University of North Texas Denton; University of Massachusetts System; University of Massachusetts Amherst
摘要：The study of online community participation often categorizes behaviors as active or passive. Because information systems scholars view online communities as fluid organizations, the active-passive heuristic often misses the richer nuances of participation behaviors. We develop the visibility-cost framework (VCF) of online community participation, integrating eight participation behaviors that are essential for sustaining committed membership and user activity in online discussion communities....
