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Enna Hirata

Has grant

Associate Profssor

Kobe University

Japan

Research Interests

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Professors in Japan

About

Dr. Enna Hirata is an Associate Professor at Kobe University in Japan. Her research primarily focuses on logistics, supply chain management, and the utilization of advanced technologies such as artificial intelligence and natural language processing. Recent publications include studies on greener logistics, maritime piracy, and social media's impact on logistics challenges. Dr. Hirata is actively contributing to the development of innovative solutions for sustainable shipping and efficient logistics operations.

Recent Grants

Grant: Close

Research on operational efficiency and reduction of environmental impact of ship and land transport in smart ports

Open Date: 2021-04-01

Close Date: 2026-03-01

Grant: Close

Measuring Market Power in Container Liner Shipping Industry

Open Date: 2017-04-01

Close Date: 2020-03-01

Articles (19)

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Collaborators (6)

Maria A. Lambrou

Professor

University of the Aegean

GREECE

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Annette Skovsted Hansen

VIP, Associate Professor, Head of Department

Aarhus University

DENMARK

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Kevin X Li

Professor

Zhejiang University

CHINA

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Seiichi Ozawa

Kobe University

JAPAN

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Takuma Matsuda

Professor

Kanagawa University

JAPAN

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Daisuke Watanabe

Associate Professor

Tokyo University of Marine Science and Technology

JAPAN

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Enna Hirata

Research Interests

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About

Recent Grants

Articles (19)

Toward greener logistics: uncovering key enablers of the physical internet using AI-powered theme analysis

Maritime piracy and armed robbery analysis in the Straits of Malacca and Singapore through the utilization of natural language processing

Social Media and Logistics: Uncovering Challenges and Solutions Through YouTube Data

Enhancing Policy Generation with GraphRAG and YouTube Data: A Logistics Case Study

The Optimization of Picking in Logistics Warehouses in the Event of Sudden Picking Order Changes and Picking Route Blockages

A Topic Modeling Approach to Determine Supply Chain Management Priorities Enabled by Digital Twin Technology

Logistics Hub and Route Optimization in the Physical Internet Paradigm

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

Exploring decarbonization priorities for sustainable shipping: A natural language processing-based experiment

Researcher Network Visualization Using Matrix Researcher2vec

Examining logistics developments in post-pandemic Japan through sentiment analysis of Twitter data

Uncovering the impact of COVID-19 on shipping and logistics

Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment

Monopoly in the container shipping market: an econometric approach

An econophysics approach to forecast bulk shipbuilding orderbook: an application of Newton’s law of gravitation

Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning

Blockchain technology in supply chain management: insights from machine learning algorithms

Rise, Fall, and Recovery of Blockchains in the Maritime Technology Space

Spatial Analysis of an Emission Inventory from Liquefied Natural Gas Fleet Based on Automatic Identification System Database

Collaborators (6)

Maria A. Lambrou

Annette Skovsted Hansen

Kevin X Li

Seiichi Ozawa

Takuma Matsuda

Daisuke Watanabe

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