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作者：Gao, Jia; Rong, Ying; Tian, Xin; Yao, Yuliang
作者单位：Dongbei University of Finance & Economics; Shanghai Jiao Tong University; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese Academy of Sciences; Lehigh University
摘要：Although facial recognition (FR) payment technology can be more convenient for customers, it is still not consistently used by many customers in retail. Using transaction data from three retail chains, we develop econometric models and an estimation strategy for examining the social presence and herding effects that affect FR payment technology use. Our key findings are as follows: (1) Customers are less likely to use FR payment technology when more customers are in line behind them, waiting a...
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作者：Liu, Jialu; Pei, Siqi; Zhang, Xiaoquan (Michael)
作者单位：Shanghai Jiao Tong University; Shanghai University of Finance & Economics; Tsinghua University; Chinese University of Hong Kong
摘要：The literature often explains female labor force participation through factors such as schooling, wage gaps, and fertility. In this study, we identify how technology induced time savings from household chores increase female labor force participation in South Korea. Using a leads-and-lags difference-in-differences model, we find that entry of an online food delivery platform significantly increased the female employment rate in the three years following the platform's entry, and the results st...
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作者：Tiwana, Amrit; Safadi, Hani
作者单位：University System of Georgia; University of Georgia
摘要：A pervasive, unbroached phenomenon is how once-modern systems age into unmaintainable albatrosses. We conceptualize this phenomenon from first-principles as system atrophy. We construct a trace data set from 190 million lines of evolving code in 1,354 systems spanning 25 years to corroborate it. Our middle-range theory introduces system atrophy into the conversation on information systems evolution, showing how small increments in modularity slow atrophy but lose potency with age. Atrophy even...
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作者：Suarez, Daniel; Gomez, Camilo; Medaglia, Andres L.; Akhavan-Tabatabaei, Raha; Grajales, Sthefania
作者单位：Universidad de los Andes (Colombia); Sabanci University; Universitat Politecnica de Catalunya
摘要：A central challenge in disaster risk management (DRM) is that there are key dependencies and uncertainty between the decisions made at the mitigation, preparedness, response, and recovery stages. Evaluating the impact of strategic decisions on the decisions and outcomes of subsequent stages is paramount to determine informed risk management policies (e.g., estimating the risk reduction that may be achieved by a mitigation strategy relative to its cost). Performing such analyses is difficult, n...
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作者：Zhou, Meizi; Zhang, Jingjing; Adomaviciusc, Gediminas
作者单位：Boston University; Indiana University System; Indiana University Bloomington; University of Minnesota System; University of Minnesota Twin Cities
摘要：Research studies have shown that recommender systems' predictions that are observed by users can cause biases in users' postconsumption preference ratings. This can happen as part of the standard, normal system use, where biases are typically caused by the system's inherent prediction errors (i.e., because of the less-than-perfect accuracy of recommendation methods). Because users' preference ratings are typically fed back to the system as training data for future predictions, this process is ...
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作者：Aaltonen, Aleksi; Stelmaszak, Marta
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; Portland State University
摘要：The digitalization of organizational settings can provide seemingly unprecedented visibility into knowledge work practices through trace data. Although trace data could be a boon for monitoring knowledge work that has traditionally eluded detailed oversight, the broader literature on data suggests that increasing behavioral visibility through trace data can also motivate reactions that reduce the transparency of work practices and question the validity of the data. To reconcile these contrasti...
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作者：Zheng, Jinyang; Yin, Guopeng; Tan, Yong; Ding, Jianing
作者单位：Purdue University System; Purdue University; University of International Business & Economics; University of Washington; University of Washington Seattle
摘要：Review-in-review (RIR) is a feature that allows viewers to generate positive or negative evaluations for primary quality evaluations of a product (e.g., ratings and reviews). This feature has the potential to reshape primary quality evaluations; specifically, it can cause social desirability bias in ratings, as raters (i.e., reviewers) who desire social recognition might be driven to provide ratings that are expected to gain more helpful and avoid unhelpful RIRs. This study aims to isolate thi...
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作者：Wang, Qiu-Hong; Geng, Ruibin; Kim, Seung Hyun
作者单位：National University of Singapore; Xi'an Jiaotong University; Yonsei University
摘要：To reduce the availability of hacking tools for use in cybersecurity offenses, many countries have enacted computer misuse acts (CMAs) that criminalize the production, distribution, and possession of such tools with criminal intent. However, the dual-use nature of cybersecurity technology complicates the legal process of recognizing such computer misuse tools and of predicting harmful intent based on mere possession. This predicament introduces the possibility of unfounded prosecution that may...
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作者：Yoo, Changseung; Yoo, Eunae; Yan, Lu (Lucy); Pedraza-Martinez, Alfonso
作者单位：McGill University; Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University of Notre Dame
摘要：Disaster relief organizations (DROs) utilize social media to provide information rapidly and broadly. Many DROs post content via multiple social media accounts within a single platform, on which each account represents a distinct entity (e.g., national headquarters, local branch). According to crisis communication theory, an organization's communication channels can coordinate by speaking with one voice. In a disaster context, this can be facilitated by accounts within the same DRO producing c...
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作者：Wang, Yingfei; Yahav, Inbal; Padmanabhan, Balaji
作者单位：University of Washington; University of Washington Seattle; Tel Aviv University; State University System of Florida; University of South Florida
摘要：This paper presents methods to choose individuals to test for infection during a pandemic such as COVID-19, characterized by high contagion and presence of asymptomatic carriers. The smart-testing ideas presented here are motivated by active learning and multi-armed bandit techniques in machine learning. Our active sampling method works in conjunction with quarantine policies, can handle different objectives, and is dynamic and adaptive in the sense that it continually adapts to changes in rea...
