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Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals Inform. Sys. Res. (IF 5.0) Pub Date : 2024-09-18 Le Wang, Xin (Robert) Luo, Liangfei Qiu, Feng Xu, Xueying Cui
Literature has long assumed that unethical behaviors are fueled by competition. This study challenges this prevailing notion by introducing a conceptual distinction between rivalry and competition. We show that rivalry-induced deterrence triggers the formation of mutual forbearance in self-injecting favorable reviews. Mutual forbearance collapses when one party unilaterally engages in self-injecting
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Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers Inform. Sys. Res. (IF 5.0) Pub Date : 2024-09-10 Yingjie Zhang, Zhiqiang (Eric) Zheng, Bin Gu
This study explores the crucial yet underexamined labor supply side of the information technology (IT) job market, focusing on how IT professionals can strategically manage their knowledge diversity structures for career advancement. By introducing and operationalizing two novel metrics—knowledge omnificence and knowledge differentiation—the research examines their impact on IT workers’ salaries and
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Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience Inform. Sys. Res. (IF 5.0) Pub Date : 2024-09-09 Vitali Mindel, Aleksi Aaltonen, Arun Rai, Lars Mathiassen, Wael Jabr
Online peer-production systems create value by enabling people to participate in the production of a common good such as an open encyclopedia by building freely on each other’s work. Fixing quality problems in peer production in a timely manner is critical because millions of people rely on peer-produced content for learning and decision making. The longer low-quality content remains in place, the
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Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement Inform. Sys. Res. (IF 5.0) Pub Date : 2024-09-05 Ayushi Tandon, Swanand J. Deodhar, Abhas Tandon, Abhinav Tripathi
How can digital platforms and applications engage users? This question remains of foremost interest to managers of such digital settings. In this study, we offer an informational answer to this problem, showing that digital contexts that engage users through contests and competitions can leverage information signals about rivals to influence engagement. More precisely, we show that the effect of relative
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How to Make My Bug Bounty Cost-Effective? A Game-Theoretical Model Inform. Sys. Res. (IF 5.0) Pub Date : 2024-09-03 Leting Zhang, Emre M. Demirezen, Subodha Kumar
A bug bounty program (BBP) is an innovative crowdsourcing security solution increasingly adopted by organizations. We use a game-theoretical model to analyze how key characteristics impact BBPs and offer practical insights into managing a BBP as part of an organization’s vulnerability management for better cost-effectiveness. Our findings indicate that organizations with high patching complexity should
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Less Artificial, More Intelligent: Understanding Affinity, Trustworthiness, and Preference for Digital Humans Inform. Sys. Res. (IF 5.0) Pub Date : 2024-09-02 Mike Seymour, Lingyao (Ivy) Yuan, Kai Riemer, Alan R. Dennis
Practice- and policy-oriented abstract:Companies are increasingly deploying highly realistic digital human agents (DHAs) controlled by advanced AI for online customer service, tasks typically handled by chatbots. We conducted four experiments to assess users’ perceptions (trustworthiness, affinity, and willingness to work with) and behaviors while using DHAs, utilizing quantitative surveys, qualitative
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Beyond Risk: A Measure of Distribution Uncertainty Inform. Sys. Res. (IF 5.0) Pub Date : 2024-08-21 Tao Lu, Lihong Zhang, Xiaoquan (Michael) Zhang, Zhenling Zhao
This paper addresses the critical yet often overlooked concept of distribution uncertainty (ambiguity) in decision making, emphasizing its importance alongside traditional outcome uncertainty (risk). It introduces a novel quantitative measure of ambiguity that accurately captures distribution uncertainty. This measure enhances empirical models, yielding more reliable parameter estimates and improving
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Platform Governance with Algorithm-Based Content Moderation: An Empirical Study on Reddit Inform. Sys. Res. (IF 5.0) Pub Date : 2024-08-21 Qinglai He, Yili Hong, T. S. Raghu
Pratice- and Policy-oriented AbstractVolunteer (human) moderators have been the essential workforce for content moderation to combat growing inappropriate online content. Because volunteer-based content moderation faces challenges in achieving scalable, desirable, and sustainable moderation, many online platforms have started to adopt algorithm-based content moderation tools (bots). However, it is
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On Crafting Effective Theoretical Contributions for Empirical Papers in Economics of Information Systems: Some Editorial Reflections Inform. Sys. Res. (IF 5.0) Pub Date : 2024-08-14 Anandasivam Gopal, Pei-yu Chen, Wonseok Oh, Sean Xin Xu, Suprateek Sarker
The terms theory and theoretical contributions evoke mixed reactions in the information systems discipline, especially among empirical researchers in the economics of information systems (Econ-IS) area. Although some see such contributions as the raison d’etre for academic scholars engaged in research, others feel that the discipline has developed a fetish for theory, with reviewers and editors often
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Does Virtual Reality Help Property Sales? Empirical Evidence from a Real Estate Platform Inform. Sys. Res. (IF 5.0) Pub Date : 2024-08-13 Zhenbin Yan, Zixuan Meng, Yong Tan
Virtual reality (VR) has emerged as a transformative addition to real estate platforms, creating an interactive three-dimensional (3D) environment for consumers to explore property information, revolutionizing property presentation. Using a large-scale data set from a leading real estate platform, we demonstrate that VR serves as an efficiency enhancer rather than a market value influencer. Specifically
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The Impact of Situational Achievement Goals on Online Learning Behavior: Results from Field Experiments Inform. Sys. Res. (IF 5.0) Pub Date : 2024-08-06 Nasim Mousavi, Sina Golara, Jesse Bockstedt
Given the widespread adoption of online learning, it is crucial to examine how these platforms can effectively maintain learners’ motivation and engagement. This study suggests that the prevalent hands-off, self-directed design approach, which relies heavily on learners’ intrinsic motivation, can potentially neglect crucial aspects like achievement emotions and lead to disengagement. Our findings show
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Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation Inform. Sys. Res. (IF 5.0) Pub Date : 2024-08-05 Kaiyu Zhang, Qili Wang, Liangfei Qiu, Nan Wang
Within the field of serialized digital content, platforms have recently introduced the ad-sponsored model to provide free content and attract readers. Although this model potentially benefits readers by removing financial barriers, its impact on content creators remains unclear. Our study investigates the effects of the ad-sponsored model on the content creators’ productivity by leveraging a policy
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Better Is Better? Signaling Paradoxes in Performance-Based Advertising Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-31 Ran Pan, Juan Feng
Under performance-based advertising, firms pay only for measurable consumer actions, such as clicks or sales. However, these actions may result from factors other than effective advertising. For example, a high-reputation seller is more likely to generate more actions than a low-reputation seller. If such consumer actions are counted toward advertising performance, a high-quality firm is penalized
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Opening First-Party App Resources: Empirical Evidence of Free-Riding Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-26 Franck Soh, Pankaj Setia, Varun Grover
Although platform owners create significant entrepreneurial opportunities for third-party developers, they frequently compete with them by entering the same markets. This study examines the impact of opening a first-party app’s resources on rivals’ innovation. Unlike prior research, which assumes that first-party apps have exclusive access to their resources, our study reveals that increased openness
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Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-17 Henner Gimpel, Julia Lanzl, Christian Regal, Nils Urbach, Julia Becker, Patricia Tegtmeier
Digital technologies, although enhancing productivity and communication, also contribute to technostress at work. This study addresses the fragmentation in existing models of hindrance technostressors by proposing a unified hierarchical model of digital hindrance stressors tailored to contemporary digital work environments. The research synthesizes various existing models and uses a mixed-methods approach
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HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-08 Konstantin Bauman, Alexander Tuzhilin, Moshe Unger
Contextual situations, such as having dinner at a restaurant on Friday with the spouse, became a useful mechanism to represent context in context-aware recommender systems (CARS). Prior research has shown important advantages of using latent embedding representation approaches to model contextual information in the Euclidean space leading to better recommendations. However, these traditional approaches
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Navigating Platform-Led Affiliate Marketing: Implications for Content Creation and Platform Profitability Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-05 Meilin Gu, Dengpan Liu, Subodha Kumar
Practice- and Policy-Oriented AbstractRecently, some user-generated content (UGC) platforms have introduced shopping features to generate additional commission-based revenue from in-app transactions. These platforms allow creators to produce shoppable content, where promoted products are tagged with affiliate links, and in return, they earn a percentage of the commission the creators receive from merchants
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Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-02 Simon Trang, Tobias Kraemer, Manuel Trenz, Welf H. Weiger
Conspiracy theories are increasingly emerging as a threat to contemporary society. Prior research highlights the crucial role that information technology (IT) plays in accelerating the spread of these theories. However, mass media coverage suggests that the role of IT extends beyond mere dissemination as conspiracy theories often target the technology itself. In this research, we explore the prevalence
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Understanding the Dynamic and Episodic Nature of Technostressors and Their Effects on Cyberdeviance: A Daily Field Investigation Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-02 Yang Chen, Jose Benitez, Christy M. K. Cheung
From a management perspective, our results first reveal the detrimental impacts of daily technostressors on the functioning of an organization and its employees. Managers should be cognizant of these consequences and create a relaxing work environment or design tools to reduce technostressors. Managers can institute more daily breaks and ensure that employees have autonomy over when to take breaks
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Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-01 Ahmed Abbasi, Robin Dillon, H. Raghav Rao, Olivia R. Liu Sheng
“The Century of Disasters” refers to the increased frequency, complexity, and magnitude of natural and man-made disasters witnessed in the 21st century: the impact of such disasters is exacerbated by infrastructure vulnerabilities, population growth/urbanization, and a challenging policy landscape. Technology-enabled disaster management (TDM) has an important role to play in the Century of Disasters
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Promoting Security Behaviors in Remote Work Environments: Personal Values Shaping Information Security Policy Compliance Inform. Sys. Res. (IF 5.0) Pub Date : 2024-07-01 Carlos I. Torres, Robert E. Crossler
Organizations worldwide face critical concerns related to cybersecurity threats and information security policy (ISP) compliance. Even though humans are the weakest link in the cybersecurity chain, information security professionals understand the importance of promoting individual information security behaviors because employees are also the first line of defense against ever-increasing cyber threats
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KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-31 Dongsong Zhang, Lina Zhou, Jie Tao, Tingshao Zhue, Guodong (Gordon) Gao
Suicide is a major cause of death among 15- to 29-year-olds globally, claiming more than 50,000 lives in the United States in 2023 alone. Despite governmental efforts to provide support, many individuals experiencing suicidal thoughts do not seek help but are increasingly turning to social media to express their feelings. This trend offers a critical opportunity for timely detection and intervention
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Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-30 Yu Jeffrey Hu, Jeroen Rombouts, Ines Wilms
Practice- and policy-oriented abstract:The success of on-demand service platforms crucially hinges upon their ability to make fast and accurate demand forecasts so that its workers are always at the right time and location to serve customers promptly. Yet demand forecasting is challenging for several reasons. First, demand data are typically released as high-frequency streaming time series, which requires
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Firm-Sponsored Online Communities: Building Alignment Capabilities for Participatory Governance Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-30 Hani Safadi, Tanner Skousen, Elena Karahanna
Practice- and Policy-Oriented AbstractMany organizations recognize the capacity of online communities to generate knowledge and create value. However, firm-sponsored online communities are composed of both community and firm stakeholders, where the goals and desires of each side can differ. This dichotomy of goals can create challenges when determining how best to govern a firm-sponsored online community
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Addressing Online Users’ Suspicion of Sponsored Search Results: Effects of Informational Cues Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-30 Honglin Deng, Weiquan Wang, Kai H. Lim
Online searches are often accompanied by sponsored content (e.g., targeted ads), which sometimes seem irrelevant but could be good alternatives to expand users’ consideration space. The sponsored search results (SSRs) often trigger suspicions among users. This study examines the potential of customer ratings and reviews of the SSRs to mitigate such suspicion and enhance user engagement with the SSRs
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Pathways for Design Research on Artificial Intelligence Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-23 Ahmed Abbasi, Jeffrey Parsons, Gautam Pant, Olivia R. Liu Sheng, Suprateek Sarker
An expanding body of information systems research is adopting a design perspective on artificial intelligence (AI), wherein researchers prescribe solutions to problems using AI approaches rather than describing or explaining AI-related phenomena being studied. In this editorial, we address some of the challenges faced in publishing design research related to AI and articulate viable pathways for publishing
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Customer Acquisition via Explainable Deep Reinforcement Learning Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-21 Yicheng Song, Wenbo Wang, Song Yao
Effective customer acquisition is crucial for digital platforms, with sequential targeting ensuring that marketing messages are both timely and relevant. The proposed deep recurrent Q-network with attention (DRQN-attention) model enhances this process by optimizing long-term rewards and increasing decision-making transparency. Tested with a data set from a digital bank, the DRQN-attention model has
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The Impact of “Retail Media” on Online Marketplaces: Insights from a Field Experiment Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-15 Vibhanshu Abhishek, Kinshuk Jerath, Siddhartha Sharma
A part of retail media wherein sponsored product listings are interleaved with organic product listings in the search results is a large and growing phenomenon. In this paper, we study the impact of displaying sponsored listings at top positions for the platform. Analyzing data from a large-scale field experiment at a leading online marketplace in India, we find nuanced results that substantially vary
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Growing Technological Relatedness to the ICT Industry and Its Impacts Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-13 Subrahmanyam Aditya Karanam, Deepa Mani, Rajib L. Saha
In today’s rapidly evolving technological landscape, industries across various sectors are increasingly leveraging information and communication technologies (ICT) to drive innovation and gain a competitive edge. Our study reveals that, as industries become more closely connected to the ICT sector, they experience a significant shift in their innovation processes and outcomes. By analyzing 1.3 million
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Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights from Text Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-10 Dokyun “DK” Lee, Zhaoqi “ZQ” Cheng, Chengfeng Mao, Emaad Manzoor
The Guided Diverse Concept Miner (GDCM) is an innovative deep learning algorithm tailored for the extraction of managerially relevant concepts from textual data, emphasizing the autonomy in discovering insights without predefined labels or guidance. This tool stands out by embedding words, documents, and concepts within the same vector space, which simplifies the interpretation of unearthed concepts
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Conversation Analytics: Can Machines Read Between the Lines in Real-Time Strategic Conversations? Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-08 Yanzhen Chen, Huaxia Rui, Andrew B. Whinston
This paper introduces machine learning–based methods designed to measure the evasiveness and incoherence of responses from more-informed individuals during real-time strategic conversations. It tests the efficacy of these methods using the question-and-answer segments of earnings conference calls, where managers are subjected to scrutiny by analysts. The article underscores the largely untapped potential
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1 + 1 > 2? Information, Humans, and Machines Inform. Sys. Res. (IF 5.0) Pub Date : 2024-05-02 Tian Lu, Yingjie Zhang
Our study, conducted through a field experiment with a major Asian microloan company, examines the interaction between information complexity and machine explanations in human–machine collaboration. We find that human evaluators’ loan approval decision-making outcomes are significantly enhanced when they are equipped with both large information volumes and machine-generated explanations, underscoring
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On-Demand, Long-Term, or Hybrid? An Economic Analysis of Optimal Rental Models on Sharing Platforms Inform. Sys. Res. (IF 5.0) Pub Date : 2024-04-25 Jianqing Chen, Nan Feng, Zhiling Guo, Wenyi Zhang
This study examines three rental models—long-term, on-demand, and hybrid—in the sharing economy and evaluates their impacts on social welfare and consumer surplus. Our analysis reveals the significance of consumers’ setup and transaction costs in determining the optimal rental-model for platforms. We find that the relative setup cost and the relative transaction cost between owners and renters play
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How Hospitals Differentiate Health Information Technology Portfolios for Clinical Care Efficiency: Insights from the HITECH Act Inform. Sys. Res. (IF 5.0) Pub Date : 2024-04-22 Jessica Pye, Arun Rai, John Qi Dong
Our research reveals the significant impact of evolving policy uncertainty on hospital strategies to mitigate cost-based performance deficits in clinical care processes through differentiation in search for health information technology (HIT). Key for hospital administrators and managers, our findings reveal the benefit of leveraging external benchmarks for performance feedback, enabling strategic
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How Information Technology Overcomes Deficiencies for Innovation in Small and Medium-Sized Enterprises: Closed Innovation vs. Open Innovation Inform. Sys. Res. (IF 5.0) Pub Date : 2024-04-15 Mariana G. Andrade-Rojas, Terence J. V. Saldanha, Abhishek Kathuria, Jiban Khuntia, Waifong Boh
Innovation is vital for the growth of small and medium-sized enterprises (SMEs). However, SMEs face deficiencies that hinder their innovation output. This study examines how information technology (IT) helps SMEs address two salient deficiencies: technological deficiency (deficiency in internal technical knowledge and skills) and government support deficiency (deficiency in favorable government policies
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Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors Inform. Sys. Res. (IF 5.0) Pub Date : 2024-04-05 Ram D. Gopal, Xiao Qiao, Moris S. Strub, Zonghao Yang
This paper investigates the suitability of online loans as an investment through the lens of a portfolio optimization framework. We propose general characteristics-based portfolio policy (GCPP), a framework which overcomes unique challenges associated with building a portfolio of online loans. GCPP directly models the portfolio weight of a loan as a flexible function of its characteristics and does
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Punished for Success? A Natural Experiment of Displaying Clinical Hospital Quality on Review Platforms Inform. Sys. Res. (IF 5.0) Pub Date : 2024-04-04 Lianlian (Dorothy) Jiang, Jinghui (Jove) Hou, Xiao Ma, Paul A. Pavlou
The healthcare market struggles with information asymmetry, limiting patients’ ability to make informed hospital choices. Aiming to bridge this gap, review platforms like Yelp have begun displaying hospitals’ clinical quality data alongside consumer reviews. However, our research uncovers that Yelp’s introduction of maternity care clinical quality measures unexpectedly resulted in lower subsequent
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Blessing or Curse? Implications of Data Brokers for Publisher Competition Inform. Sys. Res. (IF 5.0) Pub Date : 2024-04-01 Xin Zhang, Wei Thoo Yue, Ran (Alan) Zhang, Yugang Yu
The explosion of consumer data has spawned a burgeoning data broker industry, pivotal in targeted advertising. A recent media report estimates the worth of the data broker industry by 2030 at approximately $382 billion. Key players such as Oracle and Lotame gather data from diverse sources to create and sell valuable insights. Digital publishers often rely on these brokers to gain (i) individual insights
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Signaling Effects Under Dynamic Capacity in Online Matching Platforms: Evidence from Online Health Consultation Communities Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-28 Liwei Chen, Arun Rai, Wei Chen, Xitong Guo
Online Health Consultation Communities (OHCCs) have emerged as vital platforms connecting patients with physicians for online consultations. However, finding the right match between patients and physicians can be tricky due to physicians’ changing capacity to consult on the OHCC. Our study delves into how signals provided by OHCCs on physicians’ professional status and behaviors can help make these
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Linking Clicks to Bricks: Understanding the Effects of Email Advertising on Multichannel Sales Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-25 Mi Zhou, Vibhanshu Abhishek, Edward H. Kennedy, Kannan Srinivasan, Ritwik Sinha
Businesses have widely used email ads to directly send promotional information to consumers. Whereas email ads serve as a convenient tool that allows firms to target consumers online, there is little evidence of their multichannel impact on consumer spending in both online and brick-and-mortar stores. In this paper, we utilize a unique high-dimensional data set from one of the world’s largest office
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User-Generated Content Shapes Judicial Reasoning: Evidence from a Randomized Control Trial on Wikipedia Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-19 Neil C. Thompson, Xueyun Luo, Brian McKenzie, Edana Richardson, Brian Flanagan
User-generated content, for example, on Wikipedia, is easily accessed but has uncertain reliability. This makes it attractive to use but also creates risk, so there should be limits to who uses Wikipedia and for what purposes. In this paper, we use a randomized control trial to show that Wikipedia’s influence extends to judicial decision making, a field that is highly professional and supposed to follow
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Mobile Push vs. Pull Targeting and Geo-Conquesting Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-13 Dominik Molitor, Martin Spann, Anindya Ghose, Philipp Reichhart
Firms have two distinct options when delivering content to consumers’ mobile devices: mobile push and mobile pull. Mobile push delivers firm-initiated (ad) content directly to consumers, while mobile pull requires consumers to initiate requests for (ad) content. This study tests the impact of mobile push and mobile pull on consumers’ coupon redemption behavior in a large-scale randomized field experiment
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Mr. Right or Mr. Best: The Role of Information Under Preference Mismatch in Online Dating Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-13 Hongchuan Shen, Chu (Ivy) Dang, Xiaoquan (Michael) Zhang
The rise of two-sided matching platforms such as Uber, Airbnb, Upwork, and Tinder has changed the way we commute, travel, work, and even date. The success of these platforms depends on the role of information: What information and how much information should be provided? In this study, we focus on a defining characteristic of two-sided matching markets—that is, a match depends on the possibly different
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Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-12 Daniel Suarez, Camilo Gomez, Andrés L. Medaglia, Raha Akhavan-Tabatabaei, Sthefania Grajales
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. Decision support systems for disaster management require information systems that allow timely and reliable integration of data sources from different domains, including information on hazards and vulnerabilities
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Enhancing User Privacy Through Ephemeral Sharing Design: Experimental Evidence from Online Dating Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-11 Yumei He, Xingchen Xu, Ni Huang, Yili Hong, De Liu
In the dynamic world of online dating, a key challenge faced by platforms is the cold-start problem, where newly matched users are hesitant to engage due to privacy concerns. Our solution, ephemeral sharing, addresses this by balancing privacy with the need for personal information sharing. This feature allows personal photos to disappear and become untraceable soon after being viewed, reassuring users
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Monitoring and the Cold Start Problem in Digital Platforms: Theory and Evidence from Online Labor Markets Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-06 Chen Liang, Yili Hong, Bin Gu
In the realm of online labor platforms, addressing moral hazard is crucial. Reputation systems have been the conventional solution, yet they pose a cold-start problem for newcomers. Alternatively, monitoring systems provide real-time oversight to employers, directly tackling moral hazard. This study combines theory and empirical analysis using data from a leading online labor platform. We find that
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Understanding Volunteer Crowdsourcing from a Multiplex Perspective Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-04 Yifan Yu, Xue (Jane) Tan, Yong Tan
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
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How Recommendation Affects Customer Search: A Field Experiment Inform. Sys. Res. (IF 5.0) Pub Date : 2024-03-04 Zhe Yuan, AJ Yuan Chen, Yitong Wang, Tianshu Sun
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
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A Nudge to Credible Information as a Countermeasure to Misinformation: Evidence from Twitter Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-28 Elina H. Hwang, Stephanie Lee
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:
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Regulating Powerful Platforms: Evidence from Commission Fee Caps Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-28 Zhuoxin Li, Gang Wang
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
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Strategic Expectation Setting of Delivery Time on Marketplaces Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-23 Si Xie, Siddhartha Sharma, Amit Mehra, Arslan Aziz
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
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The Impact of Process- vs. Outcome-Oriented Reviews on the Sales of Healthcare Services Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-22 Hongfei Li, Jing Peng, Gang Wang, Xue Bai
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)
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Strategic Content Generation and Monetization in Financial Social Media Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-20 Ding Li, Khim-Yong Goh, Cheng-Suang Heng
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
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Mispricing and Algorithm Trading Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-19 Lihong Zhang, Xiaoquan (Michael) Zhang
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
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Making Lemonade from Lemons: A Transaction Cost Economics Perspective on Third-Party Disruptions in a Multivendor Information Technology Service Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-13 Haoyuan Liu, Wen Wen, Anitesh Barua, Andrew B. Whinston
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
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A Smart Ad Display System Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-09 Li Xiao, D. J. Wu, Min Ding
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
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Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success? Inform. Sys. Res. (IF 5.0) Pub Date : 2024-02-08 Jian Li, Xiang (Shawn) Wan, Hsing Kenneth Cheng, Xi Zhao
Practice AbstractInitial Coin Offerings (ICOs) have become a new and popular fundraising approach for blockchain start-ups. To motivate blockchain individuals to invest in the subsequent ICO, a growing number of blockchain-based project founders employ the airdrop campaign, through which they distribute a specific amount of free official tokens or promotional tokens to potential investors on the blockchain
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Background Music Recommendation on Short Video Sharing Platforms Inform. Sys. Res. (IF 5.0) Pub Date : 2024-01-31 Jiawei Chen, Luo He, Hongyan Liu, Yinghui (Catherine) Yang, Xuan Bi
On short video sharing platforms, users often choose background music for their videos. In this paper, we study the problem of background music recommendation for short videos on short video sharing platforms. In our recommendation setting, the item (music) is not recommended directly to the user, but to the video created by the user. When making music recommendations for videos, we consider three
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Encouraging Eco-driving with Post-trip Visualized Storytelling: An Experiment Combining Eye-Tracking and a Driving Simulator Inform. Sys. Res. (IF 5.0) Pub Date : 2024-01-31 Zhiyin Li, Ben C. F. Choi
Air pollution contributes to global warming and climate change, leading to extreme weather events and rising sea levels. Promoting sustainable practices has become the focus of policy programs and awareness campaigns. In this study, we propose an effective and powerful way to promote eco-driving behaviors by drawing on data storytelling. Our study shows that animated narrative and narrative sequence
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Digital Approaches to Societal Grand Challenges: Toward a Broader Research Agenda on Managing Global-Local Design Tensions Inform. Sys. Res. (IF 5.0) Pub Date : 2024-01-29 Satish Nambisan, Gerard George
Policy/Practice-Focused AbstractDespite considerable and continued resource investments, effective solutions to broad-scope problems of social interest or societal grand challenges (GCs) have proven to be elusive in many domains. In multiactor situations that characterize GCs, divergent goals, needs, priorities, and capabilities of global and local actors create organizing design tensions that need