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Insuring Trust: Understanding Policyholders' Acceptance of Chatbots in Insurance

This study explores the acceptance of chatbots among insurance policyholders. Using the Technology Acceptance Model (TAM), the research emphasizes the crucial role of trust in shaping attitudes and behavioral intentions toward chatbots, providing valuable insights for the insurance industry to enhance customer acceptance and effective implementation of conversational agents.

23 Jan 2024

Leveraging Artificial Intelligence for Urban Sustainability and Mobility

A recent research publication explores the profound impact of artificial intelligence (AI) on urban sustainability and mobility. The study highlights the role of AI in supporting dynamic and personalized mobility solutions, sustainable urban mobility planning, and the development of intelligent transportation systems.

26 Oct 2023

Influence of Visual Information and Voice Assistants on Sustainable Clothing Shopping

Researchers examined the impact of visual information and the perceived intelligence of voice assistants on consumers' purchasing behavior in online sustainable clothing shopping. Their findings highlight the importance of positive attitudes toward sustainable fashion and the role of AI-driven voice assistants.

25 Oct 2023

Enhancing Retail Insights: RFID and Machine Learning for Customer Behavior Analysis

This research combines Radio-Frequency Identification (RFID) technology and machine learning to analyze customer browsing behaviors in physical retail stores. By using methods like Isolation Forest (iForest) and Adaptive Synthetic Sampling (ADASYN), the model achieved remarkable accuracy and can be integrated into a web-based application, providing valuable insights for store optimization and customer experience enhancement.

10 Oct 2023

Revolutionizing Energy Planning: AI-Powered Oil Demand Forecasting

Researchers have harnessed the power of artificial intelligence to forecast oil demand in both exporting and importing nations, providing policymakers and energy stakeholders with precise tools for navigating the complex global oil market landscape. Their study compared AI techniques with traditional statistical models, revealing the superiority of AI in terms of prediction accuracy and stability.

14 Sep 2023

Revolutionizing Retail with AI: Climate-Aware Demand Forecasting

Researchers introduce a groundbreaking sub-neural network architecture aimed at tackling the challenges of seasonal climate-aware demand forecasting. Their innovative modeling framework, incorporating uncertain seasonal climate predictions, demonstrated significant improvements in demand forecasting accuracy, with potential implications for supply chain resilience and pre-season planning in the retail industry.

11 Sep 2023

The Metaverse's Impact on AI News Anchors: Unveiling User Engagement Factors

This study dives into the metaverse's influence on the interaction between humans and AI, specifically focusing on AI news anchors. Employing an expectation confirmation theory-based model, researchers explore the factors driving users' intention to watch news from AI anchors. The findings highlight the pivotal roles of perceived intelligence, satisfaction, and trust, shedding light on insights crucial for commercializing AI news anchors.

24 Aug 2023

TinyML Sensors for Non-Destructive Shelf Life Prediction in Fresh Dates

Researchers introduce a novel approach using TinyML sensors and models to estimate the shelf life of fresh dates non-destructively. The study develops a lightweight TinyML system combining a miniature NIR spectral sensor and an Arduino microcontroller for on-device inference. This edge computing approach enables real-time prediction of date shelf life, eliminating the need for continuous cloud connectivity.

13 Aug 2023

Detecting Retail Crime with AI: A Game-Changing Strategy

Researchers proposed a machine learning strategy to identify and classify organized retail crime (ORC) listings on a well-known online marketplace. The approach utilizes supervised learning and advanced techniques, achieving high recall scores of 0.97 on the holdout set and 0.94 on the testing dataset.

6 Aug 2023

Revolutionizing Last-Mile Logistics: A Sustainable Approach Integrating Drones and Trucks

A groundbreaking mathematical model, the FSTSP-DR-MP, has been proposed to transform last-mile logistics into a more sustainable and efficient process. With the surge in online shopping and the subsequent rise in carbon emissions, this innovative approach integrates both delivery and return services using a combination of trucks and drones. The model optimizes routes, considering multiple payloads and customers, to minimize service time.

9 Jul 2023

Redefining Sport Management Education Using Artificial Intelligence Through ChatGPT

Study examines the implementation of ChatGPT, an AI chatbot, in sport management education. The findings suggest that ChatGPT can generate comprehensive and accurate responses to sport management inquiries, highlighting its potential to enhance teaching and learning in the field.

5 Jul 2023