Mis Quarterly最新文献

{"title":"Dynamics of Openness on Mobile Platforms: Understanding the Impact of Third-Party Apps’ User Data Sharing","authors":"Franck Soh,Pankaj Setia,Varun Grover","doi":"10.25300/misq/2025/17673","DOIUrl":"https://doi.org/10.25300/misq/2025/17673","url":null,"abstract":"How does participation in platform-enabled user data sharing affect the performance of third-party apps (TPAs) in mobile ecosystems? While data sharing has become increasingly prevalent, its implications for TPA performance remain ambiguous. This study theorizes and empirically examines four competing pathways through which data sharing can influence TPA performance: (1) focal TPA feature diversification, (2) rival TPA feature diversification, (3) focal TPA feature differentiation, and (4) rival TPA feature differentiation. Drawing on the logic of sequential innovation, we argue that data sharing facilitates diversification into adjacent markets but may erode differentiation within focal markets due to shared access to user data. We tested these pathways through a novel quasi-experimental design using the rollout of Apple’s HealthKit as an exogenous shock, analyzing panel data from 724 free iOS health and fitness apps. Our results reveal that data sharing reduces both focal and rival TPA feature differentiation and increases rival TPA diversification—each negatively impacting TPA performance. However, focal TPA feature diversification increases, which enhances TPA performance. Together, the findings reveal that while data sharing can broaden strategic scope, it simultaneously threatens competitive distinctiveness. This study advances our understanding of platform openness, intra-platform competition, and innovation in digital ecosystems.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"79 1","pages":"879-908"},"PeriodicalIF":7.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trustworthiness in Computational Theory Construction: Dimensionalization and Category Surfacing","authors":"Wendy Arianne Günther,Mayur Joshi,Panos Constantinides","doi":"10.25300/misq/2026/18511","DOIUrl":"https://doi.org/10.25300/misq/2026/18511","url":null,"abstract":"In this methods article, we unpack how researchers can foster trustworthiness in dimensionalization and category surfacing (DCS), a key method family within the genre of computational theory construction (CTC). Information systems (IS), management, and organizational scholars are increasingly leveraging DCS tools such as topic modeling, word embeddings, and clustering to surface latent categories and dimensions from textual data for theory construction. Yet they struggle because evaluations of such research often default to transparency, operationalized as replicability and accountability, which obscures the analytical choices that actually make DCS research rigorous. In this study, we recast transparency as a means toward fostering trustworthiness. We treat researchers’ analytical moves as the primary unit of methodological reasoning in how they design, conduct, and disclose their choices across research phases. We develop a framework that authors, reviewers, and editors can use to construct and evaluate DCS research. The framework specifies how trustworthiness arises from the interplay of two research design choices: giving primacy to theoretical versus practice lexicons, and whether the content of texts or the structure of the corpus carries the theoretical load. We articulate expectations for conduct and disclosure across these design choices, clarifying how proportionate reasoning anchors trustworthiness. We conclude with implications for advancing trustworthiness within the broader CTC community and across other computational approaches to research.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"163 1","pages":"851-878"},"PeriodicalIF":7.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems","authors":"Pan Li,Alexander Tuzhilin","doi":"10.25300/misq/2025/19488","DOIUrl":"https://doi.org/10.25300/misq/2025/19488","url":null,"abstract":"Optimizing multiple objectives simultaneously is an important task for recommendation platforms seeking to improve their performance. However, this task is particularly challenging since the relationships between different objectives are heterogeneous across different consumers and dynamically fluctuate according to different contexts, resulting in a Pareto frontier for recommendation results, where the improvement of any objective comes at the cost of others. Existing multi-objective recommender systems do not systematically consider such dynamic relationships; instead, they balance these objectives in a static and uniform manner, resulting in suboptimal recommendation performance. In this paper, we propose a deep Pareto reinforcement learning (DeepPRL) method, where we (1) comprehensively model the complex relationships between multiple recommendation objectives, (2) effectively capture personalized and contextual consumer preferences for each objective, and (3) optimize both the short-term and the long-term recommendation performance. Our method achieved Pareto frontier dominance over the state-of-the-art baselines across four offline experiments. Furthermore, we conducted a controlled experiment on Alibaba’s video streaming platform, where our method simultaneously and significantly improved three conflicting business objectives over the latest production system, demonstrating its tangible economic impact in practice.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"76 1","pages":"1087-1116"},"PeriodicalIF":7.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can Business Intelligence Help Companies Avoid Compliance Troubles?","authors":"Xu (Joyce) Cheng,Adi Masli,Stephanie Walton,Yiyang Zhang","doi":"10.25300/misq/2026/19073","DOIUrl":"https://doi.org/10.25300/misq/2026/19073","url":null,"abstract":"This study examines how the extent of business intelligence (BI) systems within business enterprises is associated with compliance risk. BI tools promote a risk-aware culture by providing real-time data and analytics, helping establish objectives aligned with compliance, and ensuring transparent communication of compliance information across the organization. Using BI, organizations can better address compliance challenges, strengthen risk management practices, and adhere to regulatory requirements more effectively. Based on a BI implementation dataset, we find that firms with more widespread BI implementation in the organization have lower compliance risk and report fewer regulatory violations and lawsuits. We also provide evidence that some measures of strategic IT focus moderate the association between BI implementation and compliance risk outcomes. Delving into the particularities of the association between BI implementation and compliance risk, we find that greater BI implementation is associated with lower lawsuit settlement amounts, fewer lawsuit types, and shorter lawsuits. Further, the beneficial association of BI implementation with compliance risk is mainly related to operational compliance risk rather than financial accounting compliance risk. Our findings have crucial implications for the value of BI in corporate compliance risk management.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"73 1","pages":"1-18"},"PeriodicalIF":7.3,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technology Diffusion, Human Capital and Employee Mobility","authors":"Milan Miric,Hakan Ozalp","doi":"10.25300/misq/2026/17887","DOIUrl":"https://doi.org/10.25300/misq/2026/17887","url":null,"abstract":"As new technologies diffuse within an industry, they impact the value of worker skills and, in turn, may influence the mobility of workers between firms in that industry. This effect may be particularly pronounced for individuals with skills that are complementary to these new technologies and therefore in greater demand. In this paper, we investigate the impact of a small set of development tools diffusing within an industry and investigate whether this was associated with an increase in worker mobility for individuals with complementary skills, compared to those with (partly) substitutable ones. Specifically, we studied the diffusion of middleware tools within the video game industry, which made human capital more general by making it industry-specific (rather than firm-specific) and which was complementary to the tasks being performed by creatives (but less so for programmers) in this industry. We exploited the uneven diffusion of these tools across game genres to investigate whether workers experienced greater mobility in the genre where the technologies diffused more broadly. We also found greater mobility between projects that used the same middleware components. We found that the diffusion of these tools was associated with greater mobility for creatives than for programmers. These results are robust to a variety of empirical checks and speak to the impact of broad diffusion of IT tools, which may enable workers to more easily move between companies.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"13 1","pages":"1-18"},"PeriodicalIF":7.3,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When Bots Evaluate Humans: Delegation to Bots and the Reshaping of Authority","authors":"Nadine Kathrin Ostern,Likoebe M. Maruping,Marek Kowalkiewicz,Jörg Weking,Jason Bennett Thatcher","doi":"10.25300/misq/2026/18708","DOIUrl":"https://doi.org/10.25300/misq/2026/18708","url":null,"abstract":"Information systems scholars typically frame the delegation of tasks to AI-based bots as a means of improving efficiency and supporting decision-making. Yet when evaluative tasks are delegated to supervisory bots, authority is transferred to them as well. This study examines how such authority, once conferred on bots, is contested and redistributed by humans whose work is subject to the bot’s evaluation. We investigate this process in the context of Wikipedia, an online peer-production community in which an antivandalism bot was given the task of autonomously reverting vandalized, i.e., maliciously edited, contributions. Drawing on the concept of performative authority, we traced how community members negotiated the enactment of the bot’s newfound authority with the bot’s developers through authority-negotiation design moves. We found that these moves were the outcome of a recursive process marked by the redistribution of authority among actors in decisions about vandalism, the institutionalization of structures that shaped influence over authority, and the evolving actions of the bot itself, which triggered renewed contestation over time. Within the context of a peer-production community, our study offers fresh insight into how authority delegated to bots evolves as a dynamic co-creation process after delegation and how humans reclaim authority once it has been ceded to a supervisory bot. We shed light on how humans preserve authority, professional discretion, and the meaningfulness of their work in AI-mediated settings.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"40 1","pages":"1-24"},"PeriodicalIF":7.3,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why Machine Learning Needs Theoretical Guidance To Support Future Theory Building","authors":"Heng Xu,Nan Zhang,Mo Wang","doi":"10.25300/misq/2025/18900","DOIUrl":"https://doi.org/10.25300/misq/2025/18900","url":null,"abstract":"Machine learning has long held intuitive appeal in aiding theory building, owing to its capacity to automatically uncover intricate patterns from vast amounts of observed data. Yet recent literature in organizational research has acknowledged a potential hurdle in utilizing machine learning for theory building: a lack of consistency in the machine learning output. This means that the same machine learning algorithm could learn predictively accurate yet theoretically contradictory patterns when applied to different samples from the same population, or even when run multiple times on the same sample. This article aims to address the fundamental question of whether, when, and how predictive accuracy implies theoretical pertinence in the context of using machine learning to support inductive theory building. Specifically, we offer theoretical arguments to establish the importance of ensuring that a machine learning algorithm’s assumptions regarding input data are properly aligned with the phenomena being studied. Building on these arguments, we develop a 2×2 framework that outlines the conditions under which four distinct types of machine learning algorithms may be better suited to facilitate inductive theory building in behavioral and organizational research.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"473 1","pages":"1-26"},"PeriodicalIF":7.3,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Curbing Excessive Smartphone Use Through Precommitment Apps: A Multiple Discrete-Continuous Extreme Value Approach","authors":"Hyunji So,Sang Pil Han,Jinpyo Hong,Wonseok Oh","doi":"10.25300/misq/2025/17699","DOIUrl":"https://doi.org/10.25300/misq/2025/17699","url":null,"abstract":"The issue of smartphone addiction has been extensively studied, yet there is a lack of exploration into effective solutions to mitigate the impulsivity and temptation induced by these addictive technologies. Despite the proliferation of precommitment-based blocking apps introduced by major smartphone manufacturers, little is known about their effectiveness in curbing compulsive indulgence in smartphones—particularly among users with varying capacities for self-regulation. Drawing on a rational habit-formation framework, this study investigates how precommitment measures reduce susceptibility to smartphone temptation over time, with particular attention paid to app characteristics, precommitment modes, and individual differences. To empirically validate our framework, we employed a structural model using a multiple discrete-continuous extreme value (MDCEV) approach, which endogenized individuals’ choices of blocker modes (rigid vs. flexible) and simultaneously examines their app usage behaviors. Our unique dataset—capturing consumer app usage with and without blocking features active— revealed that consistent use of precommitment apps not only fostered positive habit formation but also significantly reduced compulsive app usage across both hedonic and utilitarian categories. Furthermore, we found that flexible precommitment strategies outperformed their rigid counterparts in reducing utilitarian app usage. Individual factors, such as gender and age, were found to play a moderating role in the efficacy of these strategies. Counterfactual simulations revealed that users who built a stronger habit stock through repeated blocker use exhibited significantly lower app usage even after the tool was removed. Scaling the analysis to the population level further showed that expanding access to precommitment tools meaningfully reduced overall smartphone engagement and enhanced digital well-being. Based on these empirical findings, we derived implications that can guide policymakers and managers in addressing excessive dependence on smartphones in public and workplace environments.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"393 1","pages":"1-28"},"PeriodicalIF":7.3,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Rise and Fall of Stars: The Swaying Effects of Displaying Online Rating Trends*","authors":"Hamed Qahri-Saremi","doi":"10.25300/misq/2025/19559","DOIUrl":"https://doi.org/10.25300/misq/2025/19559","url":null,"abstract":"Despite the prevalence of single average ratings on online rating platforms, they mask nuanced insights in online ratings. This paper contributes to the burgeoning literature on this topic by illustrating the importance of critical yet overlooked information obscured by single average ratings: trend information in online ratings. Online ratings are not static; they change over time as product/service quality changes and consumer expectations and preferences shift. The trend information embedded in online ratings enables consumers to go beyond past ratings to extrapolate expected ratings in the future. I focus on this aspect of online ratings and investigate (1) the effects of displaying trends in online ratings on consumer purchase decisions, (2) the mechanism mediating these trend effects, and (3) the situational contingency factors moderating these trend effects. Drawing on psychological momentum theory and four randomized controlled experiments (total n = 2,015), this paper shows that the presence and explicit presentation of trends in online ratings create a psychological momentum experience that sways consumer decisions. It further demonstrates that the potency of these trend effects depends on the trend’s norm alignment, valence, surface forms of online ratings, and trend continuity. I will discuss the contributions of these findings to the research and practice of online ratings.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"17 1","pages":"1-34"},"PeriodicalIF":7.3,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148933998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"VALIDITY IN DESIGN SCIENCE.","authors":"Kai R Larsen, Roman Lukyanenko, Roland M Mueller, Veda C Storey, Jeffrey Parsons, Debra VanderMeer, Dirk S Hovorka","doi":"10.25300/MISQ/2024/18064","DOIUrl":"10.25300/MISQ/2024/18064","url":null,"abstract":"<p><p>Researchers must ensure that the claims about the knowledge produced by their work are valid. However, validity is neither well-understood nor consistently established in design science, which involves the development and evaluation of artifacts (models, methods, instantiations, and theories) to solve problems. As a result, it is challenging to demonstrate and communicate the validity of knowledge claims about artifacts. This paper defines validity in design science and derives the Design Science Validity Framework and a process model for applying it. The framework comprises three high-level claim and validity types-criterion, causal, and context-as well as validity subtypes. The framework guides researchers in integrating validity considerations into projects employing design science and contributes to the growing body of research on design science methodology. It also provides a systematic way to articulate and validate the knowledge claims of design science projects. We apply the framework to examples from existing research and then use it to demonstrate the validity of knowledge claims about the framework itself.</p>","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"49 4","pages":"1267-1294"},"PeriodicalIF":7.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13004602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}