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Utilizing Generative AI to Boost Public Support for Carbon Pricing
Get PDFWe explore the potential of generative AI to increase public support for carbon pricing through a cost-effective and scalable communication intervention. In a randomized controlled online experiment, we delivered personalized AI-generated messages to US adults (N = 348), aimed at increasing awareness and support for carbon pricing policies. We tailored the messaging based on participants’ self-reported values (e.g., freedom, religion, family) and used AI-generated audio narration combined with dynamic content display to increase participant engagement. This 3-minute intervention significantly improved average attitudes towards carbon pricing with an effect size of d = 0.34, particularly among Republicans (d = 0.42). The intervention also increased participants’ willingness to make a hypothetical donation to an organization that advocates for carbon pricing policies by 14.4 to 20.4 percentage points. Our research demonstrates a proof of concept for the effectiveness of AI-driven persuasion to boost public support for sustainable policies. Further research is needed to test the robustness and replicability of these promising findings, as well as to explore the exact mechanisms through which AI boosts support
The Knowledge Dimensions of Digital Twins: An Application of Knowledge Flow to Digital Twins
Get PDFThis paper extends Nissen’s (2002) knowledge flow model by introducing three knowledge dimensions to evaluate digital twins: tacit–explicit, segregated–integrated, and private–ubiquitous. Through a review of 29 digital twin-related articles from ICIS and HICSS (2021–2024), we map how each study reflects these dimensions and explore their implications for knowledge generation and organizational learning. Our findings suggest that integrated and explicit digital twins contribute most effectively to organizational knowledge flows, while ubiquitous access enhances incremental innovation. Notably, integrated twins facilitate the emergence of counterfactual knowledge—enabling exploration of system behaviors in alternative scenarios. We propose that these knowledge dimensions offer a useful framework for assessing digital twins in both research and practice, particularly in domains seeking to foster innovation through digital modeling
Pumped Up Kicks: The Impact of Social Contagion and Informational Cues on Evacuation Behavior and Exposure to Threat in a Simulated School Crisis
Get PDFAs school shootings increase in frequency, understanding behavior in response to active shooter threats is essential for emergency disaster preparedness. This study utilized a 3D Unity simulation to examine how social and informational cues influence evacuation and exposure to threat. A total of 842 participants were assigned to one of 27 conditions in a 3 (NPC behavior: run, hide, mixed) × 3 (proximal information: run, hide, none) × 3 (public address: run, hide, none) design. Participants were more likely to evacuate when cues encouraged running, particularly when proximal information was present. However, congruent run cues increased exposure to threat, likely due to impulsive crowd-following. Individual factors such as age, positive affect, and experience with first-person shooter games predicted outcomes, suggesting variability in how people process and respond to high-stress situations. These findings highlight the need for emergency protocols that integrate clear communication and account for differences in response and awareness
A Pilot Comparison of Open-Source and Proprietary Player Tracking Systems for Collegiate Athletics
Get PDFThis pilot study compared open-source and proprietary player tracking systems for collegiate athletics applications. A single collegiate athlete performed one pure acceleration trial and one standardized ‘10-0-5’ change-of-direction trial (which involves an acceleration, rapid deceleration, and directional change, ending with another acceleration in the opposite direction) with identical video footage processed by both a custom open-source pipeline (YOLO+MediaPipe+OpenCV) and a commercial proprietary system. Both systems generated comprehensive biomechanical reports with key metrics like step length, frequency, and max speed. The open-source system provides detailed kinematics, transparency, lower costs, and unlimited customization. It offers automated reports on metrics like ground contact time and leg stiffness with minimal technical skill. The pilot shows both open-source and proprietary options are feasible in colleges. Open-source systems are good for resourceful institutions seeking cheap customization, while proprietary systems are better for routine monitoring. Findings support larger studies to determine the best system for college athletics
How Companies Address the Threat of Cryptographically Relevant Quantum Computers and Migrate to Post-Quantum Cryptography
Get PDFHow companies prepare for the migration to post-quantum cryptography (PQC) remains an open and important question, despite growing awareness of the threat posed by cryptographically relevant quantum computers (CRQCs). While PQC standards released by the U.S. National Institute of Standards and Technology (NIST) in 2024 aim to resist both quantum and classical attacks, migrating to these standards presents significant technical and organizational challenges. Existing research has focused on algorithm design and migration frameworks, but little is known about how companies approach this migration in practice. Through semi-structured interviews, we explore how four companies address the CRQC threat and PQC migration. We have found that companies perceive the timing and threat of CRQC differently, which implies that these perceptions influence PQC migration
A Taxonomy of Bad Trophies — Examining Online Fan Discourse on Disliked Trophies
Get PDFThis paper presents a preliminary taxonomy of “bad” video game trophies, derived from a qualitative content analysis of Reddit discussions between September 2023 and June 2024. We identify five recurring categories—Grinding, Chance, Checklists, Inorganic, and Missable—each characterized by specific design flaws that frustrate players. While prior research has focused on why players pursue trophies, our study examines why they disengage, arguing that trophy design is inseparable from game design and worthy of serious scrutiny from designers and academics alike
Media Platforms and Technology Disruption: Pricing in the Digital Age
Get PDFThis research analyzes competition between streaming media platforms (Content Providers, CPs) employing different revenue models: ad-supported versus personalized, ad-free subscriptions. We uniquely model consumer heterogeneity across two dimensions: content preference and ad tolerance, departing from prior literature's uniform ad disutility. Our game-theoretical analysis determines optimal pricing strategies under varying market conditions, showing how CPs capture distinct market segments. Key findings reveal that high ad revenue per user (ARPU) drives CPs to prioritize ad-supported services, potentially marginalizing premium offerings. Conversely, strong consumer loyalty to content preferences enables CPs to raise prices for ad-free services. The study offers theoretical insights and actionable advice for navigating the evolving SVOD landscape
Pathways to Performance: A Configurational Analysis of Consensus in DAOs
Get PDFDecentralized Autonomous Organizations (DAOs) represent a radical form of socio-technical systems, where rules are enforced by code and governance is conducted by a distributed network of stakeholders. A critical challenge in designing these systems is achieving consensus without centralized authority, yet how consensus ensures effective governance remains underexplored. This study investigates the design of DAO governance systems, utilizing data from 70 DAOs and applying Fuzzy Set Qualitative Comparative Analysis (fsQCA) to explore which consensus configurations lead to positive organizational outcomes. Our analysis challenges the notion of a single consensus model. Instead, we uncover 13 distinct configurations that characterize successful DAOs. Our key finding reveals a fundamental “ideation-legitimation trade-off”: successful DAOs optimize for broad participation in either the proposal (ideation) stage or the voting (legitimation) stage, but rarely both. These insights provide a nuanced framework for understanding and designing effective governance systems for DAOs
Motivational and Usage Differences in Freemium AI Adoption: A Comparative Study of ChatGPT Users in the Workplace
Get PDFAs generative AI tools like ChatGPT become integral to workplace digital transformation (DX), understanding differences in user adoption is increasingly important. This study compares free and paid users of ChatGPT in professional settings using an integrated framework combining the technology acceptance model (TAM) and uses and gratifications (U&G) theory. Survey data from 410 business users were analyzed through structural equation modeling. Results show that paid users report higher motivation and innovativeness, while free users express greater satisfaction and continued usage intentions. Productivity, novelty, and learning emerged as key motivational drivers, with actual use and gratification mediating continuance intention. This study contributes to theory by extending TAM and U&G to a freemium AI context, demonstrating how subscription tier influences user expectations and engagement. Practical implications are offered for organizations and platform designers seeking to align AI services with user needs and promote sustainable adoption in the workplace
Your Bulb Has Trust Issues
Get PDFYour smart bulb might be lighting up your room, but it could also be lighting up vulnerabilities in your network. As smart homes are filled with IoT devices, security often takes a backseat to convenience, especially with popular open-source firmware like Tasmota. This research investigates how a malicious actor who has access to a vulnerable local network device could hijack a Tasmota-flashed smart bulb. By changing web console and WiFi credentials, the attacker could virtually block the owner's access to their device. Through a series of scripted payloads, the study considered credential persistence, exploit efficiency, and the impact of scaling up device counts. The results show that with minimal effort, attackers can persistently compromise smart bulbs, revealing a critical gap in home network security. These findings show a clear proof-of-concept for low-complexity lateral movement attacks on IoT devices, underscoring the need for stronger local network defenses and smarter firmware defaults