Information Systems Research最新文献_第5页

How Recommendation Affects Customer Search: A Field Experiment 推荐如何影响客户搜索：现场实验

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-03-04 DOI: 10.1287/isre.2022.0294

Zhe Yuan, AJ Yuan Chen, Yitong Wang, Tianshu Sun

{"title":"How Recommendation Affects Customer Search: A Field Experiment","authors":"Zhe Yuan, AJ Yuan Chen, Yitong Wang, Tianshu Sun","doi":"10.1287/isre.2022.0294","DOIUrl":"https://doi.org/10.1287/isre.2022.0294","url":null,"abstract":"The findings of this study have important implications for digital platform designers, managers, and regulators. First, the large-scale field experiment provides valuable insights into the relationship between product recommendation and consumer search under different scenarios. It highlights the importance of understanding consumer demand states and previous interests. Platforms can use these findings to customize product recommendations at an individual level and foster channel complementarity between recommendation and search. Second, the study emphasizes the need to consider channel spillovers. Optimizing recommender systems without considering the impact of channel interactions with search engines may lead to suboptimal results. Platforms should aim for a more coordinated integration of recommendation and search channels, as our conceptual framework illustrates how customers in different demand states can be influenced and served by both systems. Third, the findings offer insights into the potential impact of data regulations on e-commerce platforms. The study demonstrates that data regulations have a greater impact on the recommendation channel compared with the search channel. Platforms should find a balance between recommendation and search when facing stringent data regulations. They may strategically focus on the search channel to gather revealed customer interests, leading to a deeper integration of both channels.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"10 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140035826","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}

引用次数: 0

Understanding Volunteer Crowdsourcing from a Multiplex Perspective 从多重视角了解志愿者众包

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-03-04 DOI: 10.1287/isre.2022.0290

Yifan Yu, Xue (Jane) Tan, Yong Tan

{"title":"Understanding Volunteer Crowdsourcing from a Multiplex Perspective","authors":"Yifan Yu, Xue (Jane) Tan, Yong Tan","doi":"10.1287/isre.2022.0290","DOIUrl":"https://doi.org/10.1287/isre.2022.0290","url":null,"abstract":"Our study delves into the understudied realm of volunteer crowdsourcing activities. Analyzing 827,260 volunteers’ participation in 183,445 projects initiated by 74,556 nonprofit organizations over nine years, the study unlocks insights into volunteers’ collaboration relationships and their behaviors, vital for increasing nonpaid labor supply and enhancing platform performance. We introduce a multiplex perspective to reveal how multilayer network dynamics offer enabling and constraining effects on volunteers’ continued participation, engagement, and interorganization movement. Practically, our findings equip crowdsourcing platforms with strategies to refine decision making and bolster volunteer engagement. By integrating novel network features such as tie multiplexity and relational pluralism, platforms can predict user actions more precisely. This fosters recommendation systems that not only elevate volunteer commitment but also facilitate productive interorganization transitions. At the macro level, tie multiplexity may lead to the “rich-get-richer” effect, enlarging the development inequality between large and small/new nonprofit organizations, whereas promoting relational pluralism is a potential remedy. For policymakers, our study offers a blueprint for nurturing volunteer networks and collaboration across organizations. Using a multiplex approach, they can adeptly manage the unpaid labor sector and invigorate nonprofit organizations. Our insights go beyond crowdsourcing as they could be applied to any digital context with multilayer networks, promising more tailored strategies to engage and mobilize users.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"51-52 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140035519","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}

引用次数: 0

A Nudge to Credible Information as a Countermeasure to Misinformation: Evidence from Twitter 推送可信信息作为应对错误信息的对策：来自推特的证据

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-28 DOI: 10.1287/isre.2021.0491

Elina H. Hwang, Stephanie Lee

{"title":"A Nudge to Credible Information as a Countermeasure to Misinformation: Evidence from Twitter","authors":"Elina H. Hwang, Stephanie Lee","doi":"10.1287/isre.2021.0491","DOIUrl":"https://doi.org/10.1287/isre.2021.0491","url":null,"abstract":"As people increasingly rely on social media to obtain healthcare information, misinformation, such as myths, rumors, and false information on healthcare, is posing a grave threat to public health. This paper investigates a potential remedy for such infodemic by examining a unique countermeasure that Twitter implemented. Instead of resorting to outright censorship, Twitter has taken a more nuanced approach: The platform has been nudging its users toward reputable sources whenever they seek out topics susceptible to misinformation. By analyzing the propagation of news articles that contain misinformation about health topics, we find that misinformation is less likely to initiate a diffusion process on Twitter since the inception of the policy. Moreover, tweets that include a link to misinformation articles are less likely to receive retweets, quotes, or replies. Furthermore, we find that the observed reduction is primarily driven by a decline in diffusion activities by human-like accounts rather than bot-like accounts. Our findings suggest that a misinformation policy that nudges platform users to a credible information source can help effectively curb misinformation diffusion. This approach may serve as a model for other platforms grappling with the challenge of misinformation in the digital age.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"45 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140019301","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}

引用次数: 0

Regulating Powerful Platforms: Evidence from Commission Fee Caps 监管强大的平台：佣金上限的证据

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-28 DOI: 10.1287/isre.2022.0191

Zhuoxin Li, Gang Wang

{"title":"Regulating Powerful Platforms: Evidence from Commission Fee Caps","authors":"Zhuoxin Li, Gang Wang","doi":"10.1287/isre.2022.0191","DOIUrl":"https://doi.org/10.1287/isre.2022.0191","url":null,"abstract":"Digital platforms have become increasingly dominant in many industries, bringing the concerns of adverse economic and societal effects (e.g., monopolies and social inequality). Regulators are actively seeking diverse strategies to regulate these powerful platforms. However, the lack of empirical studies hinders the progress toward evidence-based policymaking. This research investigates the regulatory landscape in the context of on-demand delivery, where high commission fees charged by the platforms significantly impact small businesses. Recent regulatory scrutiny has started to cap the commission fees for independent restaurants. We empirically evaluate the effectiveness of platform fee regulation by utilizing regulations across 14 cities and states in the United States. Our analyses unveil an unintended consequence: independent restaurants, the intended beneficiaries of the regulation, experience a decline in orders and revenue, whereas chain restaurants gain an advantage. We show that the platforms’ discriminative responses to the regulation, such as prioritizing chain restaurants in customer recommendations and increasing delivery fees for consumers, may explain the negative effects on independent restaurants. These dynamics underscore the complexity of regulating powerful platforms and the urgency of devising nuanced policies that effectively support small businesses without triggering unintended detrimental effects.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"108 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140019280","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}

引用次数: 0

Strategic Expectation Setting of Delivery Time on Marketplaces 市场上对交货时间的战略预期设定

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-23 DOI: 10.1287/isre.2021.0497

Si Xie, Siddhartha Sharma, Amit Mehra, Arslan Aziz

{"title":"Strategic Expectation Setting of Delivery Time on Marketplaces","authors":"Si Xie, Siddhartha Sharma, Amit Mehra, Arslan Aziz","doi":"10.1287/isre.2021.0497","DOIUrl":"https://doi.org/10.1287/isre.2021.0497","url":null,"abstract":"Delivery speed is an essential component of the service provided by online delivery platforms. Because improving actual delivery speed is expensive, platforms can instead create a perception of faster delivery by showing a conservative estimate of the delivery duration when a customer places an order. We use detailed transaction-level data from a major food delivery marketplace to examine the effects of setting conservative delivery speed expectations on customers’ likelihood of future purchases and restaurant choices. When delivery is faster than expected, we find that customers are more likely to purchase again from the platform and the same (focal) restaurant they ordered from. However, we find no significant effect on future purchases from other (nonfocal) restaurants. This is possibly because of a spillover effect, as customers may switch to other restaurants. Our findings thus highlight the effect of setting conservative expected delivery times in a platform setting. Finally, we investigate the trade-off between current and future demand because of setting of a conservative estimated delivery time and show that the gain in future demand is greater than the loss in current demand, establishing the efficacy of our suggested strategy.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"254 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139949547","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}

引用次数: 0

The Impact of Process- vs. Outcome-Oriented Reviews on the Sales of Healthcare Services 以过程和结果为导向的评审对医疗服务销售的影响

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-22 DOI: 10.1287/isre.2019.0168

Hongfei Li, Jing Peng, Gang Wang, Xue Bai

{"title":"The Impact of Process- vs. Outcome-Oriented Reviews on the Sales of Healthcare Services","authors":"Hongfei Li, Jing Peng, Gang Wang, Xue Bai","doi":"10.1287/isre.2019.0168","DOIUrl":"https://doi.org/10.1287/isre.2019.0168","url":null,"abstract":"With the rise of digital health platforms, consumers increasingly rely on online reviews when choosing healthcare services. Understanding how these reviews shape consumer decisions is crucial for both platforms and healthcare providers. To explore this, we analyzed a comprehensive data set from a leading online cosmetic surgery platform to understand how process-oriented (focusing on the recovery experience) and outcome-oriented (focusing on the end results) reviews influence the demand for healthcare services. Our findings reveal a striking disparity in the effectiveness of these two types of reviews. Generally, outcome-oriented reviews exhibit greater efficacy in boosting sales. However, the influence of each review type varies with the complexity and popularity of the services. Process-oriented reviews are more compelling for complex healthcare services, while outcome-oriented reviews prove more impactful for simpler, popular services. These insights underscore the need for tailored strategies in incentivizing and managing consumer reviews, vital for healthcare providers and digital health platforms. Furthermore, for policy makers, the study highlights the importance of regulating and guiding online review designs to ensure they accurately reflect the service process and outcome, aiding consumers in making informed decisions.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"2015 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139949575","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}

引用次数: 0

Strategic Content Generation and Monetization in Financial Social Media 金融社交媒体中的战略性内容生成和货币化

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-20 DOI: 10.1287/isre.2022.0482

Ding Li, Khim-Yong Goh, Cheng-Suang Heng

{"title":"Strategic Content Generation and Monetization in Financial Social Media","authors":"Ding Li, Khim-Yong Goh, Cheng-Suang Heng","doi":"10.1287/isre.2022.0482","DOIUrl":"https://doi.org/10.1287/isre.2022.0482","url":null,"abstract":"Strategic Content Generation and Monetization in Financial Social MediaAbstractFinancial social media, which relies on social media analysts (SMAs) to contribute content to investors, is a crucial channel for investors to gain financial information and for SMAs to monetize their content. The interactive nature of financial social media has given SMAs the opportunity to gain access to the investor preferences of their own audience base for financial content. Our study documents that SMAs would exploit this opportunity to strategically generate and monetize content by catering to investor preferences. Specifically, SMAs would increase the (negative) sentiment of the content if paid subscribers’ preferences for (negative) sentiment grow. Additionally, an SMA is more likely to produce paid content when the expected free readership increases and is less likely to do so when the expected paid subscriptions increase. Our findings suggest that the sentiment of financial social media content is not a mere reflection or prediction of stock market movements but also a result of SMAs’ reaction to investor preferences. We thus illustrate an approach to identify the SMAs who may amplify the investors’ confirmation biases because of such catering behaviors so that platform managers and regulators alike can utilize this method to improve the content quality of financial social media.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"48 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139949480","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}

引用次数: 0

Mispricing and Algorithm Trading 错误定价与算法交易

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-19 DOI: 10.1287/isre.2021.0570

Lihong Zhang, Xiaoquan (Michael) Zhang

{"title":"Mispricing and Algorithm Trading","authors":"Lihong Zhang, Xiaoquan (Michael) Zhang","doi":"10.1287/isre.2021.0570","DOIUrl":"https://doi.org/10.1287/isre.2021.0570","url":null,"abstract":"This study relaxes the efficient market hypothesis by introducing a model that accounts for initial mispricing and explores the effects of algorithmic trading. The research finds that algorithmic strategies can cause significant market volatility and affect financial stability, particularly when they amplify overpricing, leading to bubbles and crashes. Key insights include: Initial mispricing is crucial for algorithmic trading to impact market prices. Market reactions vary with the direction of the trading strategy relative to the asset’s true value. Informed traders can benefit from mispricing, whereas noise traders typically incur losses.Policy implications suggest that algorithmic trading is not universally harmful; its effects depend on the alignment of trading strategies with accurate pricing. The study advises regulators to differentiate between stabilizing and destabilizing trading practices. For traders, the research highlights the importance of adaptive strategies that help correct mispricing to ensure long-term profitability and market health. This research advances our understanding of algorithmic trading’s dual potential and informs the development of more nuanced financial regulations and trading strategies.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"7 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139949477","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}

引用次数: 0

Making Lemonade from Lemons: A Transaction Cost Economics Perspective on Third-Party Disruptions in a Multivendor Information Technology Service 用柠檬做柠檬水：从交易成本经济学视角看多供应商信息技术服务中的第三方干扰问题

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-13 DOI: 10.1287/isre.2022.0033

Haoyuan Liu, Wen Wen, Anitesh Barua, Andrew B. Whinston

{"title":"Making Lemonade from Lemons: A Transaction Cost Economics Perspective on Third-Party Disruptions in a Multivendor Information Technology Service","authors":"Haoyuan Liu, Wen Wen, Anitesh Barua, Andrew B. Whinston","doi":"10.1287/isre.2022.0033","DOIUrl":"https://doi.org/10.1287/isre.2022.0033","url":null,"abstract":"In modern enterprise computing environments, multiple information technology (IT) services from first and third parties are often integrated to form coherent solutions for enterprise customers. In this study, we seek to understand how uncertainties introduced by third-party services shape enterprise customers’ use of various IT services in these multivendor service settings. Specifically, we analyze a case of disruption caused by a third party that affects the multivendor service but does not directly affect the first-party services. We find a temporary increase in the use of first-party services that serve as similar-goal substitutes during the disruption; however, there is a net decline in the total use of services in the long run. To assess what actions the first party can take during such disruptions to turn the challenge into an opportunity, we analyze the first party’s technical support log using deep learning techniques. We find that if the first party offers high-quality technical support that addresses product-related issues, it may be able to make lemonade out of lemons. Such technical support effectively boosts customers’ use of first-party services in the long run. Curiously, however, similar efforts by the first party in the predisruption period are ineffective in achieving the same effect.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"16 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771108","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}

引用次数: 0

A Smart Ad Display System 智能广告展示系统

IF 4.9 3区管理学

Information Systems Research Pub Date : 2024-02-09 DOI: 10.1287/isre.2020.0128

Li Xiao, D. J. Wu, Min Ding

{"title":"A Smart Ad Display System","authors":"Li Xiao, D. J. Wu, Min Ding","doi":"10.1287/isre.2020.0128","DOIUrl":"https://doi.org/10.1287/isre.2020.0128","url":null,"abstract":"This paper proposes a smart ad display system to provide personalized delivery of video ads. The proposed system records consumers’ facial expression and eye gaze stream data as they watch an ad and analyzes data at the frame level. The recognized facial expression and detected eye gaze are matched to the corresponding frame of the video ad, thereby linking facial expressions to specific visual objects appearing in the ad. By tracking a consumer’s facial expressions in response to various visual objects in real time, the system learns the consumer’s individual preferences toward different ads, searches the ad pool, and selects and subsequently displays a new ad that is most likely to elicit positive attitudinal and behavioral responses. We demonstrate the feasibility and effectiveness of the proposed system with two empirical studies. The results show that by tracking a consumer’s facial responses to only one ad or even part of an ad, our proposed system is able to make reasonably accurate inferences about a consumer’s ad preferences, with or without using information about other consumers. These inferences are used to make personalized recommendations that help enhance consumers’ ad viewing experiences and elicit favorable responses.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"13 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139760909","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}

引用次数: 0