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作者：Kokkodis, Marios
作者单位：Boston College
摘要：Reputation systems in digital workplaces increase transaction efficiency by building trust and reducing information asymmetry. These systems, however, do not yet capture the dynamic multidimensional nature of online work. By uniformly aggregating reputation scores across worker skills, they ignore skillset-specific heterogeneity (reputation attribution), and they implicitly assume that a worker's quality does not change over time (reputation staticity). Even further, reputation scores tend to ...
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作者：Lei, Zhanfei; Yin, Dezhi; Zhang, Han
作者单位：University of Massachusetts System; University of Massachusetts Amherst; State University System of Florida; University of South Florida; University System of Georgia; Georgia Institute of Technology
摘要：When reviewers write online reviews, they differ in the focus of their attention: some focus on their own experiences, whereas some direct their attention to others-prospective consumers who may read the reviews in the future. This paper explores how, why, and when reviewers' attentional focus can influence the helpfulness evaluation of reviews beyond the impact of substantive review content. Drawing on the attentional focus and persuasion literatures, we develop a theoretical model proposing ...
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作者：Dong, Yan; Song, Sining; Venkataraman, Sriram; Yao, Yuliang
作者单位：University of South Carolina System; University of South Carolina Columbia; University of Tennessee System; University of Tennessee Knoxville; Lehigh University
摘要：Using a data set on mobile technologies and mobile money in the emerging markets from 2000 to 2014, we examine the demand patterns of mobile technologies and mobile money when multiple generations of mobile technologies coexist in the market and each generation of the technologies may be bundled with mobile money. Using a structural model, we estimate the own and cross price elasticities for both mobile technologies and mobile money, and the demand effects between mobile money and mobile techn...
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作者：Shi, Ye; Alwan, Layth; Raghunathan, Srinivasan; Yu, Yugang; Yue, Xiaohang
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; University of Wisconsin System; University of Wisconsin Milwaukee; University of Texas System; University of Texas Dallas
摘要：Upstream firms in supply chains have shown a growing interest in deploying consumer scanning technology (CST), which relies on consumers scanning the purchased products with their mobile devices, as a novel alternative to conventional interorganizational information technology (IOIT) to learn downstream consumer demand information. However, there is limited understanding in the literature on (i) how CST helps improve upstream firms' performances and (ii) whether CST will replace IOIT. This pap...
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作者：Chen, Wei; Lu, Yixin; Qiu, Liangfei; Kumar, Subodha
作者单位：George Washington University; State University System of Florida; University of Florida; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Breast cancer remains the leading cause of cancer deaths among women around the world. Contemporary treatment for breast cancer is complex and involves highly specialized medical professionals collaborating in a series of information-intensive processes. This poses significant challenges to personalization and customization of treatment plans for individual patients. In this research, we follow the information systems design science paradigm and propose a novel framework for decision support o...
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作者：Chen, Jiawei; (Catherine) Yang, Yinghui; Liu, Hongyan
作者单位：Shanghai University of Finance & Economics; University of California System; University of California Davis; Tsinghua University
摘要：On most e-commerce platforms, reviews are often written by buyers to evaluate sellers or products offered by sellers. In recent years, more and more platforms allowing both buyers and sellers to write reviews for each other have emerged. These bilateral reviews are important information sources in the decision-making process of both buyers and sellers but have not been properly investigated in the literature before. We develop a comprehensive relational topic modeling approach to analyze bilat...
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作者：Clarke, Jonathan; Chen, Hailiang; Du, Ding; Hu, Yu Jeffrey
作者单位：University System of Georgia; Georgia Institute of Technology; University of Hong Kong; Massachusetts Institute of Technology (MIT)
摘要：Does fake news in financial markets attract more investor attention and have a significant impact on stock prices? We use the U.S. Securities and Exchange Commission (SEC) crackdown of stock promotion schemes in April 2017 to examine investor attention and the stock price reaction to fake news articles. Using data from Seeking Alpha, we find that fake news stories generate significantly more attention than a control sample of legitimate articles. We find no evidence that article commenters can...
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作者：Fu, Runshan; Huang, Yan; Singh, Param Vir
作者单位：Carnegie Mellon University; Carnegie Mellon University
摘要：Big data and machine learning (ML) algorithms are key drivers of many fintech innovations. Although it may be obvious that replacing humans with machines would increase efficiency, it is not clear whether and how machines can improve human decisions. We answer this question in the context of crowd lending, in which decisions are traditionally made by a crowd of investors. Using data from Prosper.com, we show that a reasonably sophisticated ML algorithm predicts listing default probability more...
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作者：Zhuang, Mengzhou; Fang, Eric (Er); Lee, Jongkuk; Li, Xiaoling
作者单位：University of Hong Kong; Lehigh University; Ewha Womans University; Chongqing University
摘要：In light of the critical role of price information in consumers' decision making, this study investigates the effect of price rank on consumers' responses to product list advertising (PLA) throughout the purchase funnel, as well as the moderating effects of two keyword attributes. A hierarchical Bayesian model, using a unique data set from a leading electronic shopping platform and a simulated experiment, reveals that in the early phases of the purchase funnel, consumers are more likely to cli...
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作者：Qiao, Mengke; Huang, Ke-Wei
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; National University of Singapore
摘要：As a result of advances in data mining, more and more empirical studies in the social sciences apply classification algorithms to construct independent or dependent variables for further analysis via standard regression methods. In the classification phase of these studies, researchers need to subjectively choose a classification performance metric for optimization in the standard procedure. No matter which performance metric is chosen, the constructed variable still includes classification er...
