Artificial intelligence (AI) is increasingly embedded in professional service platforms, yet its impact on individual experts remains poorly understood.This study examines how AI reshapes service demand and expert behavior in online healthcare, a context characterized by capacity constraints and high reliance on human expertise.We focus on the emerging "Physician AI Avatar," a digital twin that automates routine consultations by replicating physicians' knowledge and communication styles.
Generative and agentic AI is rapidly reshaping how knowledge workers think, learn, and produce — lifting productivity substantially, with the largest gains concentrated among novices and lower-skilled workers (Brynjolfsson et al., 2025). Yet the same dynamic raises a deeper quest…
AI strategies to support sustainable innovation are important factors in enterprises and are critical to supporting ecosystems. Rapid growth of AI technologies such as generative AI and Agentic AI can prompt a variety of responses and concerns within both organizations and societ…
The digital and AI divide research conceptualizes three levels of inequality including access, capability, and outcomes, with prior research examining who can access AI tools and who has the skills to use them effectively (Carter et al., 2020). For small to medium enterprises (SM…
Abstract Asynchronous online discussions (AODs) are central to graduate online education, yet online students' social presence perceptions decrease over time, and learners with weaker peer-interaction experience the sharpest declines (Castellanos-Reyes, Richardson, & Maeda, 2024;…
Artificial intelligence (AI) is transforming how organizations manage and distribute knowledge. AI-powered systems can efficiently store, retrieve, summarize, and recommend information across organizations. While AI performs well in handling explicit knowledge, such as documents,…
Diagnostic AI models for breast imaging increasingly achieve strong predictive performance, yet clinical adoption remains limited when systems are perceived as opaque. This challenge, known as algorithmic aversion, is especially critical in oncology workflows where clinicians mus…