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<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Journal of the Association for Information Systems</title><copyright>Copyright (c) 2025 Association for Information Systems All rights reserved.</copyright><link>https://aisel.aisnet.org/jais</link><description>Recent documents in Journal of the Association for Information Systems</description><language>en-us</language><lastBuildDate>Thu, 26 Jun 2025 13:06:23 PDT</lastBuildDate><ttl>3600</ttl> <item><title>Health Analytics and IS Theorizing</title><link>https://aisel.aisnet.org/jais/vol26/iss3/10</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/10</guid><pubDate>Mon, 05 May 2025 09:48:10 PDT</pubDate><description> <![CDATA[ <p>Health analytics is the analysis of health data to uncover patterns, trends, and insights that can inform decision-making and drive healthcare improvements. While health analytics has considerable potential to improve healthcare and health outcomes, converting the potential value of health analytics to realized value is nontrivial. Further, the health analytics research context sits at the nexus of business, technology, computation, and health, making contributing to theory complex. To highlight opportunities in this space for theory contribution, this editorial and special issue offer guidance on and examples of how health analytics research can contribute to theory. In this editorial, we introduce four papers and suggest a number of research opportunities. Opportunities proposed in this editorial include: leveraging the health analytics context to open the black box of problemistic search, using emerging causal machine learning approaches to systematically generate new hypotheses from health-based data, addressing equity by improving the fairness of resource allocation decision-making in health processes, identifying patterns of human-AI collaboration in healthcare processes, and applying methods such as policy learning to health treatment assignment optimization.</p> ]]></description> <author>Aaron Baird et al.</author> </item> <item><title>An Organizational Routines Theory of Employee Well-Being: Explaining the Love-Hate Relationship Between Electronic Health Records and Clinicians</title><link>https://aisel.aisnet.org/jais/vol26/iss3/9</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/9</guid><pubDate>Mon, 05 May 2025 09:48:08 PDT</pubDate><description> <![CDATA[ <p>We study the problem of clinician well-being, through the lens of burnout, using an alternate source of data—a large, unstructured, publicly available dataset comprising 55,441 reviews written by clinicians on Glassdoor.com from 2012 to 2020. First, we employed topic mining and qualitative coding methods to identify contributing factors to clinician well-being and drew comparisons with electronic health records (EHR), a well-studied yet controversial factor in clinician burnout. Surprisingly, EHR- or IT-related keywords were not prominent in the clinicians’ discourse. Instead, routine operations emerged as the most frequently mentioned topic in the pros and cons sections of the reviews. Since routine operational issues are influenced by IT use, we leveraged organizational routines theory and application integration theory to propose a midrange “routines theory of employee well-being” that explains how managing organizational routines through IS can help improve clinician well-being. We tested the proposed theory using econometric models and found that integrating workflow applications significantly enhanced clinician well-being. In contrast, integrating documentation applications did not exhibit a significant impact. Interestingly, we also observed that the effects of integrating workflow and integrating documentation were more pronounced in hospitals with higher ratings of work-life balance or lower patient-to-nurse ratios, highlighting the critical role of staffing levels in driving the impact of EHR integration on clinician well-being. Overall, this is the first study to theorize and unravel the latent, intricate relationship between EHR and clinician burnout, which is moderated by organizational factors such as work-life balance policies and staffing levels.</p> ]]></description> <author>Ankita Srivastava et al.</author> </item> <item><title>Human Behavior Mining: A Framework for Theorizing About mHealth Behavior Using Digital Trace Data</title><link>https://aisel.aisnet.org/jais/vol26/iss3/8</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/8</guid><pubDate>Mon, 05 May 2025 09:48:07 PDT</pubDate><description> <![CDATA[ <p>Process mining is a set of analytical techniques aimed at gaining insights into business processes in organizations. Recently, information systems scholars have recognized its potential for analyzing human behavior through digital trace data. In this paper, we draw on the conceptual and technical analogies between business processes and human behavior to thoroughly investigate the application and transfer of process mining techniques to the analysis of human behavior. This analysis, called human behavior mining (HBM), is conceptualized as a four-part framework. To illustrate HBM’s research potential, we apply this framework in an mHealth scenario. We explore dynamic concepts proposed by social cognitive theory to analyze changes in physical activity behavior through digital trace data collected through a dedicated app. This exemplary application demonstrates that HBM can be used to empirically test previously unspecified and uncontested dynamic concepts in human behavior. It also highlights HBM’s suitability for health analytics, given the vast amount of health-related behavior data available through apps and wearables, and the direct connection between behavior and health-related outcomes. Our research provides a dynamic and temporal perspective on human behavior, showcasing the potential of HBM to enrich theoretical frameworks in IS research.</p> ]]></description> <author>Monica Fallon et al.</author> </item> <item><title>Boosting or Undermining? Unveiling the Two-Sided Effect of Updates in Medical Crowdfunding Campaigns</title><link>https://aisel.aisnet.org/jais/vol26/iss3/7</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/7</guid><pubDate>Mon, 05 May 2025 09:48:06 PDT</pubDate><description> <![CDATA[ <p>In crowdfunding, the disclosure of campaign details and progress is widely considered beneficial to fundraising because it can resolve information asymmetry and improve operational transparency. However, does this mean that fundraisers should frequently post updates? In this study, we aim to understand the implications of update frequency and content for fundraising in the context of medical crowdfunding. We deploy various natural language processing models to analyze the type, volume, and novelty of the information disclosed in updates and how funders perceive them. Our results delineate an inverted U-shaped relationship between update frequency and donations, contingent on content type. Specifically, we found that medical updates can resolve concerns and foster positive impressions among funders, which improves fundraising. However, as the update frequency increases, further posts may contribute to cognitive overload, attenuating the effect. In contrast, nonmedical updates are associated with a lower donation amount, as this type of update tends to contain redundant information and is negatively received by funders. This study contributes to crowdfunding literature by uncovering the unintended consequences of updates on fundraising due to reduced novelty and information overload. Our results suggest that theorizing the role of updates in medical crowdfunding needs to account for the two-sided nature of information disclosure. In particular, posting novel, issue-relevant information can initially reduce uncertainty and stimulate trust, positively influencing funding outcomes. However, overly frequent updates may include excessive details or repetitive content, adversely impacting fundraising.</p> ]]></description> <author>Chenzhang Bao et al.</author> </item> <item><title>Does Workforce Diversity, Equity, and Inclusion Prevent Patient Safety Incidents? A Double Machine Learning Approach</title><link>https://aisel.aisnet.org/jais/vol26/iss3/6</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/6</guid><pubDate>Mon, 05 May 2025 09:48:05 PDT</pubDate><description> <![CDATA[ <p>Although workforce diversity, equity, and inclusion (DEI) have been recognized as essential components in healthcare organizations, robust empirical research is scarce on how workforce DEI influences patient safety outcomes, particularly concerning the boundary conditions that may moderate this relationship. This study analyzes a longitudinal dataset from 2017 to 2021 that includes DEI metrics, staff-reported patient safety incidents, and employee feedback on DEI from Glassdoor and Indeed for 120 NHS Trusts in England’s acute care sector. We examine workforce DEI through both its demographic and experiential dimensions to provide a comprehensive view. Employing a double machine learning approach, our findings indicate that a one-unit increase in workforce DEI scores is associated with a reduction of 8.108 patient safety incidents per 1000 admissions. Moreover, regions with greater patient racial diversity and healthcare organizations with lower complexity experience significantly greater benefits from DEI initiatives. This study provides healthcare policymakers and institutions with actionable insights to strategically tailor DEI initiatives and effectively improve patient safety.</p> ]]></description> <author>Yichuan Wang et al.</author> </item> <item><title>What Is Augmented? A Metanarrative Review of AI-Based Augmentation</title><link>https://aisel.aisnet.org/jais/vol26/iss3/5</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/5</guid><pubDate>Mon, 05 May 2025 09:48:03 PDT</pubDate><description> <![CDATA[ <p>The widespread implementation of artificial intelligence (AI) in organizations has given rise to an increasing focus on augmentation in the academic and public discourse. While the verb “to augment,” defined as a process to make something greater or more numerous, is often used in IS research, it lacks a discussion of what the targets of such a process could be. In other words: <em>What is augmented?</em> Our paper builds on the literature of five research disciplines in which augmentation is a particularly prevalent topic—i.e., computer science, information systems, economics, management, and philosophy. Accordingly, we identified four metanarratives that represent four distinct targets of AI-based augmentation—the body, cognition, work, and performance—that build on unique human-AI configurations and bring to the fore specific augmentation tensions. Using these insights, we formulate avenues for further IS research on AI-based augmentation.</p> ]]></description> <author>Inès Baer et al.</author> </item> <item><title>Enhancing Customer Service Chatbot Effectiveness: The Effect of Dyadic Communication Traits on Customer Purchase Intention</title><link>https://aisel.aisnet.org/jais/vol26/iss3/4</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/4</guid><pubDate>Mon, 05 May 2025 09:48:02 PDT</pubDate><description> <![CDATA[ <p>Chatbots have been pervasively applied in online retailing to communicate with customers. However, attracting and converting customers with chatbots remains a challenge, and little is known about whether and how chatbots’ communication traits influence customer purchase intention. In this study, we draw on the stereotype content model to identify warmth and competence as two distinct traits of chatbot communication. Then, we employ interpersonal attraction theory to pinpoint perceived attraction as the underlying mechanism, where customer-chatbot similarity of communication trait plays a contingent role in shaping perceived attraction. Through a mixed methods design, we found that customers perceive higher attraction toward chatbots with the communication trait of competence, facilitating customer purchase intention. When the similarity of dyadic communication traits exists, we also found that customers perceive higher attraction toward chatbots with warmth. Our findings contribute to the literature on chatbot anthropomorphism and customer behavior. The study also provides practical insights into chatbot design for online retailing.</p> ]]></description> <author>Ran Tan et al.</author> </item> <item><title>Computationally Intensive Research: Advancing a Role for Secondary Analysis of Qualitative Data</title><link>https://aisel.aisnet.org/jais/vol26/iss3/3</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/3</guid><pubDate>Mon, 05 May 2025 09:48:01 PDT</pubDate><description> <![CDATA[ <p>This paper draws attention to the potential of computational methods in reworking data generated in past qualitative studies. While qualitative inquiries often produce rich data through rigorous and resource-intensive processes, much of this data often remains unused. In this paper, we first make a general case for secondary analysis of qualitative data by discussing its benefits, distinctions, and epistemological aspects. We then argue for opportunities with computationally intensive secondary analysis, highlighting the possibility of drawing on data assemblages spanning multiple contexts and time frames to address cross-contextual and longitudinal research phenomena and questions. We propose a scheme to perform computationally intensive secondary analysis and advance ideas on how this approach can help facilitate the development of innovative research designs. Finally, we enumerate some key challenges and ongoing concerns associated with qualitative data sharing and reuse.</p> ]]></description> <author>Kaveh Mohajeri et al.</author> </item> <item><title>Polarization or Bias: Take Your Click on Social Media</title><link>https://aisel.aisnet.org/jais/vol26/iss3/2</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/2</guid><pubDate>Mon, 05 May 2025 09:48:00 PDT</pubDate><description> <![CDATA[ <p>A major policy concern emerging in recent years is whether social media platforms, driven completely by profit motivations, create divisions within society and inject bias into their user base. A related question is: <em>How should a policymaker intervene if these allegations prove to be true?</em> In this study, we set up a microeconomic model to study whether a platform’s profit motivation may indeed compel it to adopt a user-targeting strategy that injects bias and creates polarization. We then examined how a policymaker might intervene and whether there are unintended consequences of such interventions. In doing so, we discovered an interesting duality between polarization and bias—both can add to the platform’s coffers but might act as substitutes in its profit function. If policymakers try to crack down on polarization, it could end up making the platform switch to bias instead. Finally, we examined the role of public awareness in moderating the platform’s desire for profit. Our results provide broad insights into a platform’s incentives and contribute to the public debate on this issue.</p> ]]></description> <author>Debabrata Dey et al.</author> </item> <item><title>Achieving Reward-Based Crowdfunding Project Success: An Examination of Value Congruence</title><link>https://aisel.aisnet.org/jais/vol26/iss3/1</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss3/1</guid><pubDate>Mon, 05 May 2025 09:47:58 PDT</pubDate><description> <![CDATA[ <p>Crowdfunding founders increasingly rely on reward-based platforms to raise capital for their projects. However, the low success rate of reward-based project campaigns remains a concern for many founders and platform managers. Prior studies investigating participants’ motivations have focused on either the founder or backer perspective, with little research examining the joint effects of founder and backer motivations. Drawing on the theory of basic human values, we assert that founders and backers are strategic about their motivations for engaging in crowdfunding campaigns. We identify four basic human values—self-transcendence, self-enhancement, openness to change, and conservation—that may reveal their intrinsic motivations and investigate how the degree of congruence between founders and backers on these values can influence campaign success. Using data from Kickstarter, we first extract evidence of these four values from the founder’s project description and backers’ comments for each project and empirically test a moderated model of reward-based crowdfunding success. The findings indicate that congruences in the openness to change, self-transcendence, and conservation values between founders and backers positively relate to project campaign success, but these relationships weaken when the congruence becomes excessive. However, self-enhancement value congruence between founders and backers can consistently maintain a stable positive influence on project campaign success. Furthermore, linguistic conformity is positively related to campaign success but reduces the distinctiveness of the congruence effects related to self-transcendence and openness to change. The study’s findings contribute to the value congruence literature and provide insights on how to improve the chances of project success in reward-based crowdfunding.</p> ]]></description> <author>Bright Frimpong et al.</author> </item> <item><title>Policy for Sociotechnical Gen AI Assessment: Leveraging End Users</title><link>https://aisel.aisnet.org/jais/vol26/iss2/10</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/10</guid><pubDate>Thu, 06 Mar 2025 10:48:35 PST</pubDate><description> <![CDATA[ <p>Most organizations assessing Generative AI (Gen AI) rely on assessment materials produced by AI providers. These tend to be technical. To create a recommended sociotechnical assessment, the technical needs to be coupled with the social. This policy editorial suggests taking advantage of the knowledge of end users who are likely to use Gen AI in their work and provides an illustrative framework for doing so.</p> ]]></description> <author>Ju Yeon Jung et al.</author> </item> <item><title>Umpires of Social Media: A Systems Science Analysis of Facebook’s Sociotechnical Content Moderation</title><link>https://aisel.aisnet.org/jais/vol26/iss2/8</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/8</guid><pubDate>Thu, 06 Mar 2025 10:48:34 PST</pubDate><description> <![CDATA[ <p>Content moderation on social media platforms, such as Facebook, plays a critical role in curating user-generated content by mitigating harmful, misleading, or inappropriate materials. Despite significant investments in both human and algorithmic moderation systems, platforms continue to struggle with effectively managing the vast and complex flow of content, often facing criticism from various user groups for perceived inconsistencies and failures. This paper provides a systems theory analysis of Facebook’s content moderation system, with a particular focus on its sociotechnical nature, where human and non-human actors interact to moderate content. Using the COVID-19 pandemic as a revelatory case study, this research explores the disruptions to Facebook’s moderation processes caused by external shocks and identifies key conflicts within the system. Through the lens of systems science, the study reveals several points of tension, including conflicting goals between stakeholders, breakdowns in communication, and the challenges posed by both human and algorithmic moderators. By understanding these conflicts, this paper offers insights into why content moderation continues to be a significant challenge for social media platforms and proposes recommendations for improving moderation efforts. This study contributes to the broader discourse on content moderation by demonstrating the value of applying systems theory to analyze and address the complexities of these sociotechnical systems.</p> ]]></description> <author>Anna Zaitsev</author> </item> <item><title>Judging a Book by Its Cover: Understanding the Phenomenon of Fake News Propagation from an Evolutionary Psychology Perspective</title><link>https://aisel.aisnet.org/jais/vol26/iss2/9</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/9</guid><pubDate>Thu, 06 Mar 2025 10:48:34 PST</pubDate><description> <![CDATA[ <p>With fake news now a serious concern facing researchers, practitioners, and policymakers alike, research is increasingly exploring the factors that lead to its proliferation. However, there is limited research on the role of temporal orientation. i.e., emphasis on time. This paper examines whether a future temporal orientation (FTO), defined as a relative emphasis on the future observed in fake news titles and content, is associated with fake news sharing. We bring arguments grounded in evolutionary psychology to understand the underlying rationale driving this phenomenon. Our analysis of a Twitter dataset comprising 465519 tweets suggests that FTO characterizes fake news and is positively associated with fake news sharing. Notably, fake news titles and the accompanying text differ in their FTO. Specifically, we show an inverted U-shaped relationship between fake news sharing and the difference in FTO between the title and accompanying text. As a practical implication of this analysis, efforts to limit the spread of fake news should pay more attention to how such news emphasizes the future.</p> ]]></description> <author>Ashish Kumar Jha et al.</author> </item> <item><title>Structural Holes and Peer Knowledge Production in Professional Q&A Communities: A Middle-Range Theory of User Engagement</title><link>https://aisel.aisnet.org/jais/vol26/iss2/7</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/7</guid><pubDate>Thu, 06 Mar 2025 10:48:33 PST</pubDate><description> <![CDATA[ <p>Professional question-and-answer (Q&A) communities have become important online social media platforms for peer-to-peer knowledge production. Such communities are vital for users seeking technical solutions and innovative methods for developing new products and features. A key challenge is ensuring information flows across areas of specialization, as such communities thrive on access to diverse expertise. Yet we know little about how a user’s network brokerage (i.e., the extent to which the user bridges structural holes between groups in the Q&A social network) and related reinforcement mechanisms impact continued user engagement, particularly in contexts where balancing efficient solutions and innovative recommendations from diverse users creates tension. Drawing on the molar theories of structural holes and reinforcement, this study proposes a moderated mediation research model set at the middle range (i.e., with deep connection to the empirical context) that explains the underlying mechanisms in the relationship between Q&A community network brokerage and continued knowledge production. Based on a panel dataset from Game Development Stack Exchange, we find that: (1) network brokerage indeed fosters knowledge receipt, which in turn reinforces users to continue knowledge seeking and contribution; (2) knowledge receipt partially mediates the effects of network brokerage on continued knowledge seeking and contribution; and (3) user tenure negatively moderates the indirect effects of network brokerage on continued knowledge seeking and contribution through knowledge receipt. This research offers theoretical and practical implications for designing and managing online communities dedicated to peer knowledge production.</p> ]]></description> <author>Langtao Chen et al.</author> </item> <item><title>Technocognitive Structuration: Modeling the Role of Cognitive Structures in Technology Adaptation</title><link>https://aisel.aisnet.org/jais/vol26/iss2/6</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/6</guid><pubDate>Thu, 06 Mar 2025 10:48:32 PST</pubDate><description> <![CDATA[ <p>The way we use technology both shapes and is shaped by our environment. These same technologies also shape and are shaped by our cognitive structures. While several existing theories explain individuals’ adaptations of technology, these theories typically focus on social and behavioral dynamics, with little attention on how technology adaptation changes individuals’ internal representations and associations. This is an important oversight to address, given that contemporary technologies such as social media, big data, artificial intelligence, and wearable devices are known to impact how we process information and conceptualize problems. In this study, we extend the adaptive theory of structuration for individuals (ASTI) to create a theory of technocognitive structuration. Technocognitive structuration proposes that exploitative and exploratory cognitive adaptations mediate how technology adaptations impact task adaptations. We tested this mediating effect using an online experiment, supported by a series of pilot studies and illustrations. The results support the proposed mediating role of cognitive adaptation. These findings challenge existing research on technology adaptation and suggest that not only is cognitive adaptation an important phenomenon to study in its own right but it may also be an important element to consider when making causal claims about other outcomes linked with technology adaptation.</p> ]]></description> <author>Rob Gleasure et al.</author> </item> <item><title>When Everyone Is Visible No One Is: Qualifications Visibility and Labor Matching Technologies in Labor Search</title><link>https://aisel.aisnet.org/jais/vol26/iss2/5</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/5</guid><pubDate>Thu, 06 Mar 2025 10:48:31 PST</pubDate><description> <![CDATA[ <p>The visibility of qualifications is of central importance to labor search in general and the person-job matching process in particular. However, despite the emergence of LinkedIn and a wide variety of other labor matching technologies (LMTs) that magnify qualifications visibility (QV) and shape it in non-obvious ways, there has been very little attention to QV as a concept, its antecedents, and its consequences. Accordingly, the objectives of this paper are to: (1) define QV and elaborate its dimensionality, (2) delineate how it is magnified and shaped by LMTs, (3) draw on theories of visibility, signaling, and strategic self-presentation to devise a theoretical model of labor search that places QV at its center, and (4) work through the implications of this model for future research on the influence of emerging LMTs and QV on labor search in an organizational context.</p> ]]></description> <author>Robert G. Fichman</author> </item> <item><title>The Trade-Offs in Promoting Equity-Focused Initiatives in Crowdfunding</title><link>https://aisel.aisnet.org/jais/vol26/iss2/3</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/3</guid><pubDate>Thu, 06 Mar 2025 10:48:30 PST</pubDate><description> <![CDATA[ <p>Organizations interested in supporting matters of diversity and equity need guidance on whether to be transparent about their equity-focused initiatives and appeal to users’ sense of social justice. This paper explores how information transparency affects backer responses to equity-related initiatives. The educational crowdfunding platform DonorsChoose launched an “equity-focused” initiative to highlight the platform’s commitment to equity in education and encourage donations towards that cause. Using an observational analysis and an experimental study, I found evidence that information transparency, i.e., explicitly promoting equity-focused projects, dampens overall donations because any change in donations associated with the equity-focused initiatives is insufficient to offset the decrease in other donations. However, I found evidence that distant donors are more responsive to equity-focused recommendations, consistent with the hypothesis that a holistic mindset moderates the effectiveness of promoting equity-focused initiatives. This study provides insight into the trade-offs associated with information transparency for equity-related initiatives and the complicated relationship between organizations and equity-related initiatives.</p> ]]></description> <author>Lauren Rhue</author> </item> <item><title>How to Develop IT Ambidexterity: Insights from the Perspective of CIO-TMT Mutual Communication</title><link>https://aisel.aisnet.org/jais/vol26/iss2/4</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/4</guid><pubDate>Thu, 06 Mar 2025 10:48:30 PST</pubDate><description> <![CDATA[ <p>Although IT ambidexterity can improve organizational agility and firm performance, limited attention has been paid to how it is developed. This article theoretically elaborates and empirically examines the effects of two types of communication modes between the chief information officer and the top management team, formal mutual communication (FMC) and informal mutual communication (IFMC), on IT ambidexterity, or the proportional balance between IT exploitation and IT exploration and how these effects vary across organizational and environmental contexts. Based on fuzzy-set qualitative comparative analysis of the survey data from 256 dyads of business and IT executives from the Chinese shipbuilding industry, we found that all configurations for achieving IT ambidexterity are observed in dynamic environments where both FMC and IFMC can play enabling roles, depending on the specific firm size. In addition, both modes can serve as enablers of IT exploitation. While IFMC always enables IT exploration, FMC may be irrelevant in some contexts or even counterproductive in other contexts. This paper expands the literature on IT ambidexterity by investigating FMC and IFMC as its antecedents, which makes a significant contribution to both IS research and practice.</p> ]]></description> <author>Nianxin Wang et al.</author> </item> <item><title>Falling from Grace: Understanding Successful Crowdfunding Experiences in Serial Entrepreneurship</title><link>https://aisel.aisnet.org/jais/vol26/iss2/2</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/2</guid><pubDate>Thu, 06 Mar 2025 10:48:29 PST</pubDate><description> <![CDATA[ <p>Crowdfunding has become an important fundraising method for entrepreneurs. In this study, we examine the role of successful crowdfunding experiences in serial entrepreneurship. Although serial entrepreneurs are typically more mature and achieve higher success rates, it remains unclear how their success affects their subsequent crowdfunding performance, given the extant literature’s mixed views of crowdfunding experiences. To resolve this tension regarding the effects of crowdfunding success, we integrate insights from the crowdfunding literature with organizational learning theory to propose a research framework with competing hypotheses. On the one hand, the crowdfunding literature suggests a positive effect arising from the signaling of legitimacy and credibility from entrepreneurs’ prior success. On the other hand, organizational learning theory suggests the potential of a superstitious learning effect wherein entrepreneurs erroneously associate success with specific actions that may not contribute to success, thereby resulting in reduced subsequent performance. We further identify several moderators related to both theoretical perspectives. Empirical analysis of 10,795 crowdfunding campaigns from 3,978 serial entrepreneurs on Kickstarter suggests that successful experiences, on average, have a detrimental effect on the performance of subsequent campaigns. The results also suggest that experience relatedness, backing experience, and prior blockbuster success can mitigate this negative effect, whereas goal overshooting accentuates it. Supplementary analysis provides insights into the mechanisms at play, specifically, how the positive and negative aspects of success manifest. This study provides theoretical implications for the crowdfunding literature by addressing the tension inherent to crowdfunding success and offers guidance for crowdfunding entrepreneurs and platform operators.</p> ]]></description> <author>Lusi Yang et al.</author> </item> <item><title>Sunk Cost Fallacy, Price Adjustment, and Subscription Services for Information Goods</title><link>https://aisel.aisnet.org/jais/vol26/iss2/1</link><guid isPermaLink="true">https://aisel.aisnet.org/jais/vol26/iss2/1</guid><pubDate>Thu, 06 Mar 2025 10:48:27 PST</pubDate><description> <![CDATA[ <p>Information goods often adopt a subscription-based business model, where customers pay a fixed fee to enter into a purchase agreement. The up-front payment of the subscription fee creates a sunk cost for members, which may influence their future consumption behavior. Although price adjustment is a common strategy employed by subscription providers, it remains unclear how changes in the fixed fee—as a sunk cost—affect the consumption of information goods. For this paper, we first leveraged a quasi-natural experiment in a movie subscription service and employed a difference-in-differences model to estimate the impact of fixed fee adjustments on overall consumption. Then we used a randomized experiment to unveil the underlying mechanism of sunk cost fallacy. Our findings reveal that the average treatment effect on information goods consumption is both significant and economically meaningful. Specifically, the box office revenues of an average movie increased by 12%~35% in the six months following a sudden downward price adjustment, likely because a lower fixed subscription fee appeals to highly price-conscious consumers, who are more susceptible to the sunk cost fallacy. We also uncovered insightful heterogeneous effects, demonstrating that niche information goods, especially those driven by narrow appeal and high quality, benefit the most from such a downward price adjustment of a subscription service. Our results are robust to alternative control groups, placebo tests, and different data analysis granularity. Our research enhances the understanding of the sunk cost fallacy within the context of subscription-based information goods.</p> ]]></description> <author>Mingyue Zhang et al.</author> </item> </channel></rss> 
