Information Systems Research最新文献

{"title":"Platform Loophole Exploitation, Recovery Measures, and User Engagement: A Quasi-Natural Experiment in Online Gaming","authors":"Jianqing Chen, Shu He, Xue Yang","doi":"10.1287/isre.2020.0416","DOIUrl":"https://doi.org/10.1287/isre.2020.0416","url":null,"abstract":"Online platforms often encounter the challenge of system vulnerabilities, such as bugs, which can be exploited by certain users for illicit gains. These platforms face a dilemma when devising countermeasures, particularly in deciding whether to penalize rule breakers. Different countermeasures can lead to varying economic impacts, including subsequent user engagement. In this study, based on unique field data from a prominent online gaming platform, we discovered that the occurrence of bugs has a negative effect on the online duration and consumption of observing players. Surprisingly, although the platform is responsible for the bugs, not penalizing rule breakers results in more substantial reductions in platform engagement among observing players compared with penalizing them. This effect is particularly pronounced for observers who are directly affected by rule violations. Our findings emphasize the essential role of the platform in fairly punishing rule breakers. To ensure the long-term prosperity of an online platform and the overall welfare of its participants, it is crucial for the platform to maintain high-quality system control and implement effective governance mechanisms for rule enforcement, thereby restoring justice and order to the online community.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138508903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal Impact of Preference Biases on Recommender Systems’ Performance","authors":"Meizi Zhou, Jingjing Zhang, Gediminas Adomavicius","doi":"10.1287/isre.2021.0133","DOIUrl":"https://doi.org/10.1287/isre.2021.0133","url":null,"abstract":"Recommender systems are ubiquitous on various online platforms and provide significant value to the users in helping them find relevant content/items to consume. After item consumption, users can often provide feedback (i.e., their preference ratings for the item) to the system. Research studies have shown that recommender systems’ predictions, observed by users, can cause biases in users’ postconsumption preference ratings. Because these ratings are typically fed back to the system as training data for future predictions, this process is likely to influence the system’s performance over time. We use a simulation approach to investigate the longitudinal impact of preference biases on the dynamics of recommender systems’ performance. Our results reveal that preference biases significantly impair recommendation performance and users’ consumption outcomes, and larger biases cause disproportionately large negative effects. Additionally, less popular and less distinctive (in terms of their content) items are more susceptible to preference biases. Furthermore, considering the substantial impact of preference biases on recommendation performance, we examine the issue of debiasing user-submitted ratings. We find that relying solely on historical rating data is unlikely to be effective in debiasing; thus, we propose/evaluate new debiasing approaches that use additional relevant information that can be collected by recommendation platforms.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138508904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Some Thoughts on Reviewing for Information Systems Research and Other Leading Information Systems Journals","authors":"Suprateek Sarker, Edgar A. Whitley, K. Goh, Y. Hong, Magnus Mähring, Pallab Sanyal, Ning Su, Heng Xu, J. Xu, Jingjing Zhang, Huimin Zhao","doi":"10.1287/isre.2023.editorial.v34.n4","DOIUrl":"https://doi.org/10.1287/isre.2023.editorial.v34.n4","url":null,"abstract":"","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139281227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When Does Beauty Pay? A Large-Scale Image-Based Appearance Analysis on Career Transitions","authors":"Nikhil Malik, Param Vir Singh, Kannan Srinivasan","doi":"10.1287/isre.2021.0559","DOIUrl":"https://doi.org/10.1287/isre.2021.0559","url":null,"abstract":"When Does Beauty Pay? A Large-Scale Image Based Appearance Analysis on Career Transitions In this study, we collect up to 15 years of career histories for over 40,000 MBA graduates from top 100 MBA programs in the United States. We find that attractive MBA graduates earn at least $2,508 more in yearly salary compared with plain-looking (unattractive) MBA graduates. The attractiveness premium is even larger for top 10 percentile attractive graduates, for those with arts undergraduate majors, and those in managerial roles, nontechnical jobs, and non-IT industries. Policymakers should note that the attractiveness bias is not much smaller in size than gender bias. It is pervasive over time (in individuals in their 30s and 40s and not just 20s) and across industries. It may need a similar focus as gender or racial bias in labor markets. Companies can craft their HR trainings and procedures guided by this finding. A study of this scale is only possible using cutting-edge machine learning and generative AI methods (instead of human subjects) for large-scale data processing.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135342050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings","authors":"Jingchuan Pu, Young Kwark, Sang Pil Han, Qiang Ye, Bin Gu","doi":"10.1287/isre.2019.0176","DOIUrl":"https://doi.org/10.1287/isre.2019.0176","url":null,"abstract":"Many online platforms are now offering free samples to seasoned reviewers, hoping to get feedback. While these reviewers are given free samples to review, they also buy and review products themselves. The regular ratings for the purchased products are the majority. This brings up the question: Does receiving free products make them rate their personal purchases more positively? And if so, why? We explored two possibilities. First, uncertainty reduction mechanism: The idea that trying free samples makes buyers more confident in their purchases, leading to greater satisfaction and higher ratings for the purchased products; Second, reciprocity mechanism: The idea that reviewers might feel obliged to give better ratings as a “thank you” for the free samples or with the expectations of getting more free samples, which could introduce bias. Our research indicates that giving free samples mainly helps in reducing purchase uncertainty, making customers genuinely happier with their subsequent purchases. So, online platforms can benefit from this strategy, as it seems to uplift genuine positive reviews rather than create biased ones. However, it is still essential to monitor for any undue bias to maintain trustworthiness in reviews.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135540211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Computational Framework for Understanding Firm Communication During Disasters","authors":"Bei Yan, Feng Mai, Chaojiang Wu, Rui Chen, Xiaolin Li","doi":"10.1287/isre.2022.0128","DOIUrl":"https://doi.org/10.1287/isre.2022.0128","url":null,"abstract":"Firms’ public communication on social media during disasters can benefit both disaster response efficiency and the perception of the corporate image. Despite its importance, limited guidelines are available to inform firms’ disaster communication strategies. The current study examines firms’ communication on social media in various disasters and how it impacts public engagement. We employ a novel natural language processing (NLP) approach, Semantic Projection with Active Retrieval (SPAR), to analyze Facebook posts made by Russell 3000 firms between 2009 and 2022 concerning various disasters. We show that firm communication can be measured based on two dimensions derived from the Competing Values Framework (CVF): internal versus external and stable versus flexible. We find that social media messages that emphasize operational continuity (internal/stable-oriented) are more popular during biological disasters. By contrast, messages that stress innovations and adaptations to disasters (external/flexible-oriented) elicit more engagement in weather-related disasters. The study offers a framework to characterize and guide firms’ design of disaster communication on social media in different disaster contexts. Our SPAR method is also available to firms to analyze their social media data and uncover the underlying patterns in communication across different contexts.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135475583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Open Prison of the Big Data Revolution: False Consciousness, Faustian Bargains, and Digital Entrapment","authors":"Ojelanki Ngwenyama, Frantz Rowe, Stefan Klein, Helle Zinner Henriksen","doi":"10.1287/isre.2020.0588","DOIUrl":"https://doi.org/10.1287/isre.2020.0588","url":null,"abstract":"Although some scholars raise alarm about societal harm emerging from Big Data practices, critical social theory (CST) Information Systems research on the structures and dynamics driving Big Data practices is rare. In this research commentary, we interrogate how tech firms use social practices and platform design to strategically manipulate individuals into accepting datafication and data assetization that accrue positive data network effects for themselves and mostly negative data network effects (economic loss, social and privacy harm) for individuals. We draw on the ideas of Heidegger and Marcuse to critically question the Big Data paradigm in order to develop better understanding of the social implications for individuals and society. Using the concepts of false consciousness, digital entrapment, and Faustian bargains, we critically inquire into the Big Data practices that keep us tethered to digital platforms. Specifically, we interrogate sociomaterial structures that socially condition individuals into a digital habitus and to identify themselves as homo digitalis, who view all their “relations” (social and economic) as digital. This social conditioning reproduces a false consciousness that constricts our worldview, undermines our rational choices, and enables the risky compromises we make with tech companies that manipulate and exploit us with their increasingly oppressive Big Data practices and related dark patterns. We critically analyze the case of Microsoft Viva to provide an illustration of how mundane digital tools can condition our reality and entrap us into an open prison. We argue that if we do not critically interrogate our false consciousness of the digital and understand how digital giants colonize our social systems by structurally embedding Big Data practices, we will continue to be susceptible to manipulation and digital entrapment. Ongoing risky compromises with tech firms will erode the very foundations of the “good life,” freedom, liberty, and personal privacy, and they will institutionalize the open prison. The CST explanation we propose and the research agenda we outline are meant to encourage research into solutions to the digital entrapment problem. History: Suprateek Sarker, Senior Editor; Robert Gregory, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2020.0588 .","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Join Up or Stay Away? Coalition Formation for Critical IT Infrastructure","authors":"Hong Guo, Yipeng Liu, Barrie R. Nault","doi":"10.1287/isre.2021.0463","DOIUrl":"https://doi.org/10.1287/isre.2021.0463","url":null,"abstract":"PRACTICE AND POLICY ABSTRACT We consider the formation of a coalition when districts invest in critical IT infrastructure that, if disrupted, can cause significant damage to security, the economy, public health, or safety. The benefits from these investments can spill over to other districts. Districts choose whether to participate in a coalition, and the coalition subsequently makes IT infrastructure investment decisions for those districts that join the coalition. These inside districts have superior interoperability in their spillovers relative to outside districts. We find that inside districts’ resource levels decrease with the size of the coalition, and this size depends on the coalition’s economies of scale and relative interoperability. Depending on these factors, any size coalition can be an equilibrium or socially optimal. In most cases, the socially optimal coalition size is larger than the equilibrium coalition. A subsidy or tax can incentivize the equilibrium coalition size and district investment levels to be socially optimal, providing a general solution to the provisioning of critical IT infrastructure. We use the European Union’s Digital COVID Certificate program providing vaccine status information and the U.S. Government’s Direct Project that supports the establishment of nationwide health information exchanges to illustrate elements of our model.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135411532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social Trading, Communication, and Networks","authors":"Jiaying Deng, Mingwen Yang, Matthias Pelster, Yong Tan","doi":"10.1287/isre.2021.0143","DOIUrl":"https://doi.org/10.1287/isre.2021.0143","url":null,"abstract":"Social trading is an emerging market in the sharing economy, allowing investors (followers) to duplicate the trades of other investors (leaders) in real time. We analyze the formation and dissolution of links in a large social trading network. Such networks are characterized by the rapid dissolution of links, increasing the importance of studying network dissolution. We investigate how social communication, along with financial performance and demographics, affects dynamic network evolution. We show that different types of social communication, such as posts and comments, have different implications for link formation and dissolution. Moreover, we find financial performance to be highly important for link formation and dissolution, whereas demographic characteristics are only relevant for link formation. In social trading, the extreme flexibility of followers in dissolving links and thereby, terminating their relationship instantaneously brings about large income uncertainty for leaders. Thus, a thorough understanding of network evolution and its determinants is crucial for leaders. Our results can provide guidance on when and how to communicate with followers. As vocal leaders on social media may exert a significant influence on financial markets—as demonstrated by recent the GameStop frenzy—a better understanding of the evolution of investment networks is also important for regulators.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms","authors":"Zhengrui Jiang, Arun Rai, Hua Sun, Cheng Nie, Yuheng Hu","doi":"10.1287/isre.2020.0658","DOIUrl":"https://doi.org/10.1287/isre.2020.0658","url":null,"abstract":"This study highlights the critical function that digital real estate platforms, like Zillow, serve in facilitating effective property transactions. They do this by transmitting vital property information from sellers to buyers, thereby enriching the value of offline deals. Our findings indicate that Zillow, as a source of information, is incredibly valuable for properties that deviate significantly from their neighborhood’s average value, either above or below. It’s particularly useful in conveying experiential details through images and textual descriptions. For potential buyers, Zillow is a trustworthy source of property information for estimating property value, especially when alternative sources of information are limited. This study underscores the necessity for sellers and their agents to effectively represent property information online, considering its significant impact on sale prices. This is especially true for unique properties and properties with notable experiential elements. Furthermore, our study suggests that real estate professionals need to modify their business practices to take full advantage of digital platforms and provide superior services to their clients. Finally, digital real estate platforms can use these insights to enhance their platform design by focusing on the collection and display of significant information, ultimately increasing the value provided to both buyers and sellers of properties.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135995133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}