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作者:Yin, Kexin; Fang, Xiao; Chen, Bintong; Sheng, Olivia R. Liu
作者单位:JP Morgan Chase & Company; University of Delaware; University of Delaware; University of Delaware; Utah System of Higher Education; University of Utah
摘要:Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications. Existing link recommendation methods tend to recommend similar friends to a user but overlook the user's diversity preference, although social psychology theories suggest the criticality of diversity preference to link recommendation performance. In recommender systems, a field related to link recommendation, a number o...
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作者:Liang, Chen; Peng, Jing; Hong, Yili; Gu, Bin
作者单位:University of Connecticut; University of Miami; Boston University
摘要:Monitoring, a digital surveillance technology that allows employers to track the activities of workers, is ubiquitous in the gig economy wherein the workforce is geographically dispersed. However, workers am often reluctant to be monitored because of privacy concerns, resulting in a hidden economic cost for employers as workers tend to demand higher wages for monitored jobs. To help employers make informed decisions on whether they should adopt monitoring and how to design monitoring policies,...
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作者:Watson, Richard Thomas; Plangger, Kirk; Pitt, Leyland; Tiwana, Amrit
作者单位:University System of Georgia; University of Georgia; University of London; King's College London; Simon Fraser University
摘要:A theory of information compression (TIC) conceptualizes how anticipated judgment costs can affect decision quality. We theorize-inductively from decision making in medicine, energy pricing, auditing, and financial analytics-how judgment networks can exacerbate financial and nonfinancial judgment costs that compress information. Information compression occurs when a process intended to inform decision making generates information that has little variation. This can reduce decision quality and ...
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作者:Shaikh, Maha; Vaast, Emmanuelle
作者单位:University of London; King's College London; McGill University
摘要:This study focuses on algorithmic interactions in open source work. Algorithms are essential in open source because they remedy concerns incompletely addressed by parallel development or modularity. Following algorithmic interactions in open source allows us to map the performance of algorithms to understand the nature of work conducted by multiple algorithms functioning together. We zoom to the level of algorithmic interactions to show how residual interdependencies of modularity are worked a...
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作者:Guan, Yue; Tan, Yong; Wei, Qiang; Chen, Guoqing
作者单位:Communication University of China; University of Washington; University of Washington Seattle; Tsinghua University
摘要:Customer-generated images (CGIs) on e-commerce platforms have been widely adopted as a promotional tool to persuade customers into purchases. Despite their prevalent applications, the effect of CGIs on customer postpurchase satisfaction has not been extensively examined. This study postulates that CGIs could cause expectation disconfirmation and reduce product uncertainty for customers, therefore making their effect on subsequent product ratings complex. We leverage multiple methods and data s...
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作者:Chan, Tommy K. H.; Cheung, Christy M. K.; Benbasat, Izak; Xiao, Bo; Lee, Zach W. Y.
作者单位:University of Manchester; Alliance Manchester Business School; University of British Columbia; University of Hawaii System; University of Hawaii Manoa; Durham University
摘要:Cyberbullying on social networking sites (SNSs) escalates when bystanders join in the bullying. Although researchers have recognized the harmful consequences of joining in cyberbullying behaviors, little is known about the role of information technology (IT) and its underlying mechanisms in fueling such negative group behavior on SNSs. To address this research gap, we develop and test an integrative model that explains bystanders' joining-in cyberbullying behaviors on SNSs. Based on the theore...
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作者:Hu, Maggie Rong; Li, Xiaoyang; Shi, Yang; Zhang, Xiaoquan (Michael)
作者单位:Chinese University of Hong Kong; Hong Kong Polytechnic University; University of Melbourne; Tsinghua University; Chinese University of Hong Kong
摘要:Heuristics are mental shortcuts that have ubiquitous influences on decision making. We investigate whether and how different heuristics have distinct effects in the context of peer-to-peer (P2P) lending. Drawing on theories on the roles that heuristics play in decision making, we conjecture that when borrowers use different heuristics based on distinct motives to set their loan amounts, their funding success and repayment performance also differ. Using detailed P2P lending data from a Chinese ...
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作者:Leung, Alvin Chung Man; Santhanam, Radhika; Kwok, Ron Chi-Wai; Yue, Wei Thoo
作者单位:City University of Hong Kong; University of Oklahoma System; University of Oklahoma - Norman
摘要:The COVID-19 pandemic has highlighted the importance of online learning. As learner autonomy is relatively high in online environments, learners must engage in self-regulated learning (SRL) to achieve optimal learning outcomes. Because most learners are unable to consistently engage in SRL, gamification interventions are being implemented to improve SRI, engagement; however, mixed results cast doubt on the efficacy of this approach. Massively open online courses (MOOCs), a type of online learn...
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作者:Weinmann, Markus; Mishra, Abhay Nath; Kaiser, Lena Franziska; vom Brocke, Jan
作者单位:University of Cologne; Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; Iowa State University; University of Liechtenstein
摘要:At the core of reward-based crowdfunding (RBC) is the reward menu. Carefully constructed reward menus can impact fundraising success significantly. For example, an oft-discussed approach to influencing purchasing decisions is introducing an irrelevant option into a consumer's choice set-a decoy option-making another, often more valuable, option more attractive. This phenomenon is also known as the attraction effect. Prior research, however, has found mixed evidence for its occurrence in applie...
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作者:Fernandez-Loria, Carlos; Provost, Foster; Anderton, Jesse; Carterette, Benjamin; Chandar, Praveen
作者单位:Hong Kong University of Science & Technology; New York University; Spotify
摘要:This study presents a systematic comparison of methods for individual treatment assignment, a general problem that arises in many applications and that has received significant attention fromeconomists, computer scientists, and social scientists. We group the various methods proposed in the literature into three general classes of algorithms (or metalearners): learning models to predict outcomes (the O-learner), learning models to predict causal effects (the E-learner), and learning models to ...