Journal of the Association for Information Systems

Digital crowdfunding platforms are expected to enable need-based allocation in healthcare financing; however, campaigns with similar medical needs often experience highly unequal funding outcomes.Prior research has primarily focused on campaign-level factors and signaling mechanisms, offering limited insight into how platform features shape these outcomes.This study adopts an affordance perspecti…

Generative artificial intelligence is changing the way visual art and illustration are produced.Prior research has focused primarily on individual-level human-AI collaboration, offering limited insight into how collective stylistic patterns emerge when many creators interact through shared generative tools and visible outputs.To address this gap, we develop an agent-based model that captures how …

Governments increasingly bundle AI adoption, data governance, and open-data obligations within single national strategies, yet more is known about policy design than about implementation.This TREO paper examines Saudi Arabia's National Strategy for Data and AI (NSDAI) as an integrated policy bundle and asks how organizational processes shape enactment in an emerging economy.Drawing on 27 intervie…

Artificial intelligence (AI), marked by autonomy, learning, and algorithmic opacity, is increasingly central to firm strategy, yet firms differ widely in their ability to realize sustained performance gains.We conceptualize AI adoption as a set of AI competitive actions, including AI-related R&D, acquisitions, partnerships, product launches, and signaling activities.Drawing on the attention-based…

This paper examines how generative AI LLM architectures can mitigate the gap between information velocity and verification capacity in crisis-driven information environments.Drawing on the case of a newsroom-deployed fact-checking system developed in wartime Ukraine, we show how verification evolved from manual workflows to a hybrid architecture combining claim classification, evidence retrieval,…

As digital technologies demonstrate their profound potential in contemporary society, they also heighten concerns about unequal access to digital opportunities, especially for marginalized communities.This study argues that digital autonomy constitutes a critical step in advancing digital inclusion, extending beyond traditional focus on accessibility and adoption.We conduct action design research…

With the development of virtual reality (VR), mixed reality (XR), wearable devices, and full-body tracking, digital interaction is shifting from screen-based to embodied interaction, where users engage through movement, sensory feedback, and spatial perception.This shift raises new questions for studying diversity in digital environments.This paper proposes a three-level framework.At the macro le…

The use of artificial intelligence (AI) for self-diagnosis is widespread and continues to grow.Effective adoption of AI depends not only on its accuracy but also on patient trust.This study examines trust in AI healthcare platforms, focusing on two key antecedents: AI benevolence (empathy) and competence.We propose a model in which both factors influence trust, with the effect of competence moder…

Organizations increasingly rely on behavioural, transactional, and service interaction data to understand and improve customer experience.However, enterprise analytics in this domain remain largely prediction-oriented, particularly in churn modelling, and provide limited support for diagnosis, explanation, and intervention design.This paper proposes an enterprise knowledge graph (KG) as a represe…

This decision support system study examines how network positions shape competitive spillovers from store openings and closures.We build a store competition network (22,422 stores) using drivingdistance thresholds, update it annually for entry and exit, and identify articulation nodes (cut vertices) whose removal disconnects the graph.Using store and year fixed effects, we estimate how incumbent …

The rapid adoption of Generative AI (GenAI) has transformed user-generated content into a critical strategic asset for platforms.However, platforms face a dual threat: synthetic content pollution caused by high-volume AI-generated content (AIGC) and the consequent crowding-out of authentic humangenerated content (HGC).This paper proposes a mechanism design framework to address these challenges un…

Adequately regulating one's emotions is important for the physical and mental well-being but requires practice.However, support remains in high demand.Here, chatbots can offer immediate assistance by mimicking a human interaction, as the high level of responsiveness of transformer-based large language models (LLMs) or generative pre-trained transformer (GPT) chatbots can create a sense of social …

Data and Data Science Process Models are essential elements of a formalised project implementation.However, these models often cause headaches for students in data science and computer science, as it is initially difficult for them to recognise which method to use, in what order the process steps should be carried out, and what impact the respective decisions have on the overall project.To suppor…

During armed conflicts, human rights are vulnerable, with the chaos of war often leading to violations.For military personnel, understanding human rights and adhering to lawful conduct is crucial for maintaining public trust and upholding the rule of law.This knowledge prevents abuses, enforces international standards, and ensures military actions align with global legal frameworks.Respecting hum…

This paper examines how a financial exchange (IEX) integrates socio-technical mechanisms to promote fairness in high-frequency trading environments.Our study focuses on the IEX's Crumbling Quote Indicator (CQI), a predictive algorithm designed to mitigate predatory high-speed strategies and protect long-term investors.By reverse-engineering the CQI from its published model coefficients and applyi…

Large Language Models (LLMs) are often integrated into today's innovation processes, but uniform AI assistance is incongruent with innovators' shifting cognitive states, encouraging over-reliance and premature convergence that erode idea diversity.We introduce a phase-specific, multi-agent human-AI innovation system that offers distinct AI assistance across exploration (divergence) and implementa…

Generative Artificial Intelligence (GenAI) is fundamentally reshaping digital information ecosystems.This paper conceptualises a shift from referential intermediation, where search engines direct users to original sources through hyperlink-based referral, and generative intermediation, in which GenAI services draw on training data derived from existing sources to generate responses that address u…

Why do users continue using a Takaful insurance app after initial adoption?This paper revisits that question using Arabic user-generated content from the Al Rajhi Takaful app.Drawing on 8,092 appstore reviews, we employ a sequential exploratory-confirmatory design.After screening and Arabicspecific preprocessing, 4,717 reviews were analyzed using topic modeling, sentiment-informed interpretation,…

This study aims to explore the key factors that shape managerial acceptance and utilization of digital twin recommendations within the healthcare sector.A research model based on Technology Acceptance Model 2 (TAM2), Trust Theory (TT) and Accountability Theory (AT) is developed.A mixed-methods approach will be employed, combining surveys and scenario experiments with managers across multiple hosp…