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作者：Choudhary, Vidyanand; Zhang, Zhe (James)
作者单位：University of California System; University of California Irvine; University of Texas System; University of Texas Dallas
摘要：We study an online environment where a firm provides strategic product recommendations to consumers. We develop an analytical framework to integrate recommendations into the consumer search process. The firm sells two imperfectly substitutable products with different profit margins and makes a personalized product recommendation to each consumer based on its uncertainty (lack of knowledge) of his preferences. We define recommendation bias as the firm's deliberate decision to recommend a produc...
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作者：Zwass, Vladimir
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作者：Brendel, Alfred Benedikt; Hildebrandt, Fabian; Dennis, Alan R.; Riquel, Johannes
作者单位：Technische Universitat Dresden; Technische Universitat Dresden; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Gottingen; Technische Universitat Dresden
摘要：Conversational Agents (CAs) are becoming part of our everyday lives. About 10 percent of users display aggressive behavior toward CAs, such as swearing at them when they produce errors. We conducted two online experiments to understand user aggression toward CAs better. In the first experiment, 175 participants used either a humanlike CA or a non-humanlike CA. Both CAs worked without errors, and we observed no increased frustration or user aggression. The second experiment (with 201 participan...
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作者：Chen, Kun; Fan, Yifan; Liao, Shaoyi Stephen
作者单位：Southern University of Science & Technology; City University of Hong Kong; Southern University of Science & Technology
摘要：Crypto tokens, issued and managed via smart contracts, function as rewards in blockchain systems to encourage user participation. Distinct from monetary incentives, token incentives are uncertain in reward magnitude due to the large swings in token prices on crypto markets. By focusing on token price volatility, this study investigates how the reward uncertainty affects user contribution in a tokenized digital platform. Our empirical setting is Steemit, a platform where bloggers write posts an...
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作者：Delkhosh, Fatemeh; Gopal, Ram D.; Patterson, Raymond A.; Yaraghi, Niam
作者单位：University of Calgary; University of Warwick; University of Miami; University of Calgary
摘要：Incentivized blockchain-based online social media (BOSM), where creators and curators of popular content are paid in cryptocurrency, have recently emerged. Traditional social media ecosystems have experienced significant bot involvement in their platforms, which has often had a negative impact on both users and platforms. BOSM can provide additional direct financial incentives as motivation for both bots' and human users' engagement. Using the panel vector autoregression and regression discont...
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作者：Kauffman, Robert J.; Lahiri, Atanu
作者单位：Copenhagen Business School; University of Texas System; University of Texas Dallas; Copenhagen Business School
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作者：Xu, Da; Hu, Paul Jen-Hwa; Fang, Xiao
作者单位：California State University System; California State University Long Beach; Utah System of Higher Education; University of Utah; University of Delaware; Utah System of Higher Education; University of Utah
摘要：Popular online business directory (OBD) platforms, such as Yelp and TripAdvisor, depend on voluntarily user-submitted data about various businesses to assist consumers in finding appropriate options for transactions. Yet the crowdsourced nature of such data restricts the availability of attribute values for many businesses on the platform. Crowdsourced data often suffer serious completeness and timeliness constraints, with negative implications for key stakeholders such as users, businesses, a...
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作者：Johnson, Matthew; Murthy, Dhiraj; Robertson, Brett W.; Smith, William Roth; Stephens, Keri K.
作者单位：University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin; University of South Carolina System; University of South Carolina Columbia; University of Tennessee System; University of Tennessee Knoxville; University of Texas System; University of Texas Austin
摘要：Social media platforms are increasingly used during disasters. In the United States, users often consider these platforms to be reliable news sources and they believe first responders will see what they publicly post. While having ways to request help during disasters might save lives, this information is difficult to find because non-relevant content on social media completely overshadows content reflective of who needs help. To resolve this issue, we develop a framework for classifying hurri...
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作者：Xie, Jiaheng; Chai, Yidong; Liu, Xiao
作者单位：University of Delaware; Hefei University of Technology; Arizona State University; Arizona State University-Tempe; Hefei University of Technology
摘要：As video-sharing sites emerge as a critical part of the social media landscape, video viewership prediction becomes essential for content creators and businesses to optimize influence and marketing outreach with minimum budgets. Although deep learning champions viewership prediction, it lacks interpretability, which is required by regulators and is fundamental to the prioritization of the video production process and promoting trust in algorithms. Existing interpretable predictive models face ...
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作者：Thiebes, Scott; Gao, Fangjian; Briggs, Robert O.; Schmidt-Kraepelin, Manuel; Sunyaev, Ali
作者单位：Helmholtz Association; Karlsruhe Institute of Technology; California State University System; San Diego State University; California State University System; San Diego State University
摘要：Multiorganizational, multistakeholder (MO-MS) collaborations that may span organizational and national boundaries, present design challenges beyond those of smaller-scale collaborations. This study opens an exploratory research stream to discover and document design concerns for MO-MS collaboration systems beyond those of the single-task collaborations that have been the primary focus of collaboration engineering research. We chose the healthcare industry as the first target for this research ...
