Information Systems Research

最新文章

• Augmented Learning for Joint Creativity in Human-GenAI Co-Creation AI翻译
  作者：Luan, Yingyue Luna; Kim, Yeun Joon; Zhou, Jing
  作者单位：University of Queensland; University of Cambridge; University of Cambridge; Rice University; Rice University
  摘要：Our research introduces a novel theory of augmented learning by reconceptualizing the concept and providing both theoretical insights and empirical evidence to explain its role in human-generative artificial intelligence (GenAI) co-creation for enhancing joint creativity over time. We propose shifting the focus of augmented learning from traditional human cognitive learning to a collective learning process, where humans and GenAI collaboratively rearrange their levels of involvement in co-crea...
• Team Makes You Better: Evidence from Online Medical Consultation Platforms AI翻译
  作者：Zhang, Xiaofei; Pu, Jingchuan; Lu, Yixin; Guo, Feng
  作者单位：Harbin Institute of Technology; State University System of Florida; University of Florida; George Washington University; Tianjin University
  摘要：Virtual teamwork has become a prevalent mode of collaboration. However, scant empirical attention has been given to the impact of virtual teamwork on individual members' performance beyond the team setting. In this paper, we fill this gap by studying virtual teams in the context of online medical consultation (OMC) platforms. Specifically, we collect data from two OMC platforms during a time period when both platforms offered individual consultations (i.e., one patient connected with one physi...
• More Can Be Less: The Economics of Answer Viewing on Paid Q&A Platforms AI翻译
  作者：Gao, Yi; Mehra, Amit; Liu, Dengpan
  作者单位：Texas Tech University System; Texas Tech University; University of Texas Dallas; University of Texas System; University of Texas Dallas; Tsinghua University
  摘要：Paid Q&A platforms monetize knowledge by charging a commission on the consulting fees set by experts who provide personalized answers to users' questions. Additionally, some platforms capitalize on knowledge further by offering an answer-viewing feature, which allows users to pay for access to answers to questions previously posed by others. This feature provides a more affordable alternative for users seeking information, potentially expanding the platform's market by attracting those unwilli...
• Asymmetric and Contingent Value of Crowd Wisdom in Crowdfunding AI翻译
  作者：Xiao, Shengsheng; Ho, Yi-Chun Chad; Dasgupta, Subhasish; Huang, Hailiang; Lin, Zhijie
  作者单位：Shanghai University of Finance & Economics; Shanghai University of Finance & Economics; George Washington University; Shanghai University of Finance & Economics; Tsinghua University
  摘要：This study investigates how platform risk indicators and the size of the active user base shape participation in lending-based crowdfunding (LCF) markets. A key distinction between LCF platforms and other two-sided markets is heightened uncertainty, which primarily stems from concerns about platform-level financial instability. To understand how participants from both sides of the platforms navigate such uncertainty, we develop a framework grounded in observational learning and cue diagnostici...
• The Costs of Ambiguous Information Disclosure: On the Unintended Consequences of Providing Restaurant Hygiene Scores on Platforms in the United States AI翻译
  作者：Hou, Jinghui (Jove); Jiang, Dorothy Lianlian; Ma, Xiao; Gopal, Anandasivam
  作者单位：University of Houston System; University of Houston; Nanyang Technological University
  摘要：Information disclosure on digital platforms is ubiquitous and often well intentioned, yet it frequently results in unintended consequences. Given the prevalence of simplified cues prone to ambiguity in digital platforms' information design, how such designs can induce ambiguity and consumer misunderstanding has not been closely evaluated. Yelp's initiative to display hygiene inspection scores to restaurant webpages on Yelp across the United States, in response to consumers' limited access to i...
• On-Demand Healthcare Platforms: Impact of Question and Answer Service on Online Consultations and Offline Appointments AI翻译
  作者：Liu, Yixuan; Agarwal, Ashish; Lai, Guoming; Zhou, Weihua
  作者单位：China Europe International Business School; University of Texas System; University of Texas Austin; Zhejiang University
  摘要：The emerging on-demand healthcare platforms connect patients with healthcare practitioners to provide quick access to primary care and consultation services. These platforms can offer a question and answer (Q&A) service to patients to seek more information before they seek care online or offline. Using rich panel data from an on-demand healthcare platform in China, we investigate the impact of such a Q&A service on demands for online consultations and offline appointments. Our findings indicat...
• Customer Engagement Prediction on Social Media: A Graph Neural Network Method AI翻译
  作者：Ma, Tengteng; Hu, Yuheng; Lu, Yingda; Bhattacharyya, Siddhartha
  作者单位：State University System of Florida; University of South Florida; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
  摘要：With the rapid prevalence and massive user growth of social media platforms, efficiently targeting potential customers on these platforms has grown in importance for companies. Enhancing the likelihood that a social media user will engage with brand posts holds profound implications for online marketing strategy design. However, predicting customer engagement on social media comes with its own set of challenges. In this work, we design a graph neural network model called the graph neural netwo...
• Should Ad Exchanges Subsidize Advertisers to Acquire Targeting Data? AI翻译
  作者：Zhu, Wangsheng; Tang, Shaojie; Mookerjee, Vijay
  作者单位：Hong Kong University of Science & Technology; State University of New York (SUNY) System; University at Buffalo, SUNY; University of Texas System; University of Texas Dallas
  摘要：Large volumes of online impressions are sold daily via real-time auctions to deliver targeted advertisements to consumers. Advertisers use data to learn about user preferences and select the most appropriate ad for each user, which also helps them optimize their bids in an ad auction. Although ad exchanges may provide some user data to advertisers, they are usually limited, and advertisers often acquire data from various sources to improve targeting performance. The acquisition of such data ca...
• Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation AI翻译
  作者：Zhang, Kaiyu; Wang, Qili; Qiu, Liangfei; Wang, Nan
  作者单位：State University System of Florida; University of Florida; Beijing Technology & Business University
  摘要：The selection of a business model significantly impacts the success of digital content platforms, influencing both consumers and creators. Within the field of serialized digital content, establishing incentives that align with creators' interests poses a notable challenge. Web novel platforms, which allow writers to produce and market their work online, have traditionally adopted a pay-per-view model, where readers pay for access to content. However, a recent trend has seen the introduction of...
• Artificial Intelligence and Firm Resilience: Empirical Evidence from Natural Disaster Shocks AI翻译
  作者：Han, Miaozhe; Shen, Hongchuan; Wu, Jing; Zhang, Xiaoquan (Michael)
  作者单位：Hong Kong University of Science & Technology; University of Macau; Chinese University of Hong Kong
  摘要：Artificial intelligence (AI) has been increasingly deployed in business operations over the past decade. Although AI productivity in normal times has been extensively studied, direct evidence of its effectiveness in uncertain contexts is limited. Our work fills this gap by examining the contribution of AI to corporate resilience under natural disaster shocks, particularly concentrating on AI-using and goods-producing firms. We measure firm AI investment by the cumulative AI-relevant skills ext...