Cover Image

Understanding the Relationship Between Firms' AI Technology Innovation and Consumer Complaints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Yongchao Martin, Deng, Zhongzhun
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Hidden AI Race: Tracking Environmental Costs of Innovation
by: Agarwal, Shyam, et al.
Published: (2025)

AI in Work-Based Learning: Understanding the Purposes and Effects of Intelligent Tools Among Student Interns
by: Miranda, John Paul P., et al.
Published: (2026)

Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
by: Castañeira, Josu Eguiluz, et al.
Published: (2025)

AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
by: Hardy, Michael, et al.
Published: (2026)

Generative AI Spotlights the Human Core of Data Science: Implications for Education
by: Taback, Nathan
Published: (2026)

Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration
by: Mbuvha, Rendani, et al.
Published: (2024)

Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
by: von der Heyde, Leah, et al.
Published: (2024)

Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
by: Wang, Hanjing, et al.
Published: (2026)

Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model
by: Hang, Haotian, et al.
Published: (2025)

Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories
by: Kousovista, Rania, et al.
Published: (2024)

Learning-by-teaching with ChatGPT: The effect of teachable ChatGPT agent on programming education
by: Chen, Angxuan, et al.
Published: (2024)

United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections
by: von der Heyde, Leah, et al.
Published: (2024)

Study of the influence of a biased database on the prediction of standard algorithms for selecting the best candidate for an interview
by: Wang, Shuyu, et al.
Published: (2025)

Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms
by: Lamberti, W. F., et al.
Published: (2025)

Integrating Computational Methods and AI into Qualitative Studies of Aging and Later Life
by: Abramson, Corey M.
Published: (2025)

Strategic Response of News Publishers to Generative AI
by: Zhao, Hangcheng, et al.
Published: (2025)

Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks
by: Liu, Jianhong, et al.
Published: (2023)

Federated Epidemic Surveillance
by: Lyu, Ruiqi, et al.
Published: (2023)

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances
by: Nie, Allen, et al.
Published: (2024)

Metacognitive Myopia in Large Language Models
by: Scholten, Florian, et al.
Published: (2024)

An Investigation of the Relationship Between Crime Rate and Police Compensation
by: Amarsingh, Jhancy, et al.
Published: (2024)

Adapting Probabilistic Risk Assessment for AI
by: Wisakanto, Anna Katariina, et al.
Published: (2025)

Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
by: Yuan, Yunhao, et al.
Published: (2025)

The Relationship Between Smartphone Usage and Sleep Quality Amongst University Students
by: Chaudhry, Hafsa, et al.
Published: (2024)

Plagiarism or Productivity? Students Moral Disengagement and Behavioral Intentions to Use ChatGPT in Academic Writing
by: Miranda, John Paul P., et al.
Published: (2026)

Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
by: Hardy, Michael, et al.
Published: (2026)

Air Pollution Forecasting in Bucharest
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
by: Bhagat, Sudesh, et al.
Published: (2025)

Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)

Learning Disease Progression Models That Capture Health Disparities
by: Chiang, Erica, et al.
Published: (2024)

OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
by: Grari, Vincent, et al.
Published: (2024)

Data Science Students Perspectives on Learning Analytics: An Application of Human-Led and LLM Content Analysis
by: Zahran, Raghda, et al.
Published: (2025)

United States Road Accident Prediction using Random Forest Predictor
by: Yamarthi, Dominic Parosh, et al.
Published: (2025)

Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
by: Yin, Kai, et al.
Published: (2023)

Digital Twins as Funhouse Mirrors: Five Key Distortions
by: Peng, Tianyi, et al.
Published: (2025)

Big Data and the Computational Social Science of Entrepreneurship and Innovation
by: Li, Ningzi, et al.
Published: (2025)

Global Automation Atlas
by: Garg, Prashant, et al.
Published: (2026)

Auditing Fairness by Betting
by: Chugg, Ben, et al.
Published: (2023)

Making Evidence Actionable in Adaptive Learning Closing the Diagnostic Pedagogical Loop
by: Mehrabi, Amirreza, et al.
Published: (2025)

Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning
by: von der Maase, Simon P.
Published: (2025)