-
作者：Qahri-Saremi, Hamed; Kordzadeh, Nima; Turel, Ofir
作者单位：Colorado State University System; Colorado State University Fort Collins; Worcester Polytechnic Institute; University of Melbourne
摘要：The quality of online review content is a central factor in its perceived helpfulness to consumers. Yet platforms' efforts to enhance the quality of online reviews through extrinsic incentives have shown mixed results. In this paper, we address this issue by showing that a subtle change in the design of the review generation process can improve review quality. Via four randomized controlled experiments (n = 1,101), we specifically examine whether the task order in which platforms solicit numer...
-
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 ...
-
作者：Zwass, Vladimir
-
作者：Li, He
作者单位：Clemson University
摘要：This research examines how startup complementors' product security influences their funding from external investors in platform ecosystems. The longitudinal analysis of the Hadoop ecosystem shows that the release of product security features is positively associated with startup funding. The effect is stronger when public media pays more attention to the platform ecosystem's security issues and for complementors with a central position in the platform ecosystem's technological proximity networ...
-
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...
-
作者：Singha, Sumanta; Saha, Rajib L.; Ghoshal, Abhijeet
作者单位：Texas Tech University System; Texas Tech University; Indian School of Business (ISB); University of Illinois System; University of Illinois Urbana-Champaign
摘要：A two-sided marketplace with network effects, such as an online food delivery platform, faces challenges when buyers impose disutility on each other while competing for shared resources. To reduce this disutility, the platform can exercise greater control over transactions, charge sellers a higher transaction fee, or both, but these strategies have trade-offs. Using a game-theoretic model, we show that a market in our setting can be divided into two distinct types based on the relative strengt...
-
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...
-
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...
-
作者：Chen, Aihui; Lu, Yaobin
作者单位：Tianjin University; Tianjin University; Huazhong University of Science & Technology
摘要：Artificial intelligence (AI) technology offers huge potential for addressing the shortage of offline healthcare through providing accurate diagnostics and treatment recommendations for mildly ill patients. Based on the dual process theory, this paper theorizes the relative impacts of the three design attributes of AI diagnostics (i.e. intelligence level, explainability, and uniqueness consideration) on two types of trust (i.e. cognition-based trust and affect-based trust), the relative impacts...
-
作者：Brown, Nicholas James; Mindel, Vitali; Lowry, Paul Benjamin; Nottingham, Quinton
作者单位：Indiana University System; Indiana University Bloomington; University of Tennessee System; University of Tennessee at Chattanooga; Virginia Polytechnic Institute & State University
摘要：Prevailing information privacy theories have advanced understanding of how users evaluate privacy risks. Yet, they leave important aspects of user behavior insufficiently explained, particularly why some consumers proactively protect their personal information, whereas others remain passive despite expressing similar privacy concerns. Much of this research relies on privacy concerns as the primary indicator of privacy attitudes. Privacy concerns are crucial, but they largely capture users' ris...
