Research activity information

• Jul. 2023 Emerald Publishing, Emerald Literati Awards 2023 Outstanding Paper, Uncovering the impact of COVID-19 on shipping and logistics

  Enna Hirata, Takuma Matsuda


• Jul. 2022 Emerald Publishing, Emerald Literati Awards 2022 Outstanding Paper, Blockchain technology in supply chain management: insights from machine learning algorithms

  Enna Hirata, Maria Lambrou, Daisuke Watanabe


• Jun. 2018 The 11th International Conference of Asian Shipping and Logistics (ICASL 2018), Commended Paper Award

  Enna Hirata


• Oct. 2016 Japan Society of Logistics and Shipping Economics, International Exchange Award

  Enna Hirata

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

  Hisatoshi Naganawa, Enna Hirata

  Apr. 2025, Logistics, 9(2)(56) (56), 1 - 21, English

  [Refereed]

  Scientific journal


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

  Hisatoshi Naganawa, Enna Hirata

  Mar. 2025, Electronics, 14(7)(1241) (1241), 1 - 13, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Handling modular containers in a physical internet environment

  Enna Hirata, Nailah Firdausiyah, Widha Kusumaningdyah

  Lead, Springer Science and Business Media LLC, Dec. 2024, Maritime Economics & Logistics, English

  [Refereed]

  Scientific journal


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

  Enna Hirata, Kevin X. Li, Daisuke Watanabe

  Elsevier BV, Dec. 2024, Sustainable Futures, 8, 100358 - 100358, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


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

  Muhammad I. Fahreza, Enna Hirata

  Last, Informa UK Limited, Nov. 2024, Maritime Policy & Management, 1 - 14, English

  [Refereed]

  Scientific journal


• Strategy Generation and Selection for Maritime Piracy and Armed Robbery Problem in the Straits of Malacca and Singapore through Bayesian Network-based TOPSIS Analysis

  Muhammad I. Fahreza, Enna Hirata

  Nov. 2024, The Proceedings of the 70th JSCE Annual Meeting., 70, English

  Symposium


• A Proposal for Container Transportation of Compressed Hydrogen in a Physical Internet Environment.

  野原郁哉, 平田燕奈

  Nov. 2024, 土木計画学研究・講演集, 70, Japanese

  Research institution


• A Research on Prediction of People Flow around Stations Using Natural Language Processing

  樊世星, 平田燕奈

  Nov. 2024, 土木計画学研究・講演集, 70, Japanese

  Symposium


• The 2024 Issue in Logistics: A Natural Language Processing Analysis Using YouTube Comment Data.

  Naganawa Hisatoshi, Hirata Enna

  Nov. 2024, 土木計画学研究・講演集, 70, Japanese

  Symposium


• The Current Status and Future Prospects of the Physical Internet

  平田燕奈

  Sep. 2024, 生活協同組合研究, 584, 30 - 37, Japanese

  [Invited]


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

  Daiki Ueno, Enna Hirata

  (1) Background: This work focuses on improving the efficiency of warehouse operations with the goal of promoting efficiency in the logistics industry and mitigating logistics-related labor shortages. Many factors are involved in warehouse operations, such as the optimal allocation of manpower, the optimal layout design, and the use of automatic guided vehicles, which together affect operational efficiency. (2) Methods: In this work, we developed an optimal method for operating a limited number of workers or picking robots in a specific area, coping with cases of sudden disruptions such as a change in picking order or the blockage of aisles. For this purpose, the number of pickers, the storage capacity, and other constraints such as sudden changes in picking orders during the picking process, as well as blockages in the aisles of a warehouse site, are considered. The total travel distance is minimized using Gurobi, an optimization solver. (3) Results: The picking routes were optimized in three different scenarios using the shortest route between the starting point and the picking points, resulting in up to a 31% efficiency improvement in terms of the total distance traveled. (4) Conclusions: The main contribution of this work is that it focuses on the day-to-day work situations of sudden changes in the picking order and the presence of route blocks in real-world logistics warehouse sites. It demonstrates the feasibility of responding to sudden disruptions and simultaneously optimizing picking routes in real time. This work contributes to the overall efficiency of logistics by providing a simple, yet practical, data-driven solution for the optimization of warehouse operations.

  MDPI AG, Aug. 2024, Mathematics, 12(16) (16), 2580 - 2580, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Reinforcement Learning-Based Optimization of Logistical Hubs and Routing in the Context of the Physical Internet - A Case Study from Japan

  Hisatoshi Naganawa, Enna Hirata

  May 2024, the Proceedings of the 10th International Physical Internet Conference, 26 - 35, English, No password

  [Refereed]

  International conference proceedings

  添付ファイルのURL


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

  Enna Hirata, Daisuke Watanabe, Athanasios Chalmoukis, Maria Lambrou

  Apr. 2024, Sustainability, English, No password

  [Refereed]

  Scientific journal

  添付ファイルのURLLink to Kobe Univ. Repository (Kernel)


• Logistics Hub and Route Optimization in the Physical Internet Paradigm

  Hisatoshi Naganawa, Enna Hirata, Nailah Firdausiyah, Russell G. Thompson

  Corresponding, Apr. 2024, Logistics, English, No password

  [Refereed]

  Scientific journal

  添付ファイルのURLLink to Kobe Univ. Repository (Kernel)


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

  Enna Hirata, Annette Skovsted Hansen

  Feb. 2024, Logistics, English, No password

  [Refereed]

  Scientific journal

  添付ファイルのURLLink to Kobe Univ. Repository (Kernel)


• フィジカルインターネットにおける物流拠点の最適立地と配送ルートの最適化

  長縄尚駿, 平田燕奈

  Nov. 2023, 土木計画学研究・講演集, 68, Japanese

  Research society


• 物流倉庫におけるピッキングの最適化

  上野大樹, 平田燕奈

  Last, Nov. 2023, 土木計画学研究・講演集, 68, Japanese

  Research society


• Researcher Network Visualization Using Matrix Researcher2vec

  Enna Hirata, Takahiro Yamashita, Seiichi Ozawa

  Jul. 2023, Journal of Advanced Computational Intelligence and Intelligent Informatics, 27(4) (4), 603 - 608, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


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

  Enna Hirata, Takuma Matsuda

  Elsevier BV, Apr. 2023, Asian Transport Studies, 9, 100110 - 100110, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Uncovering the impact of COVID-19 on shipping and logistics

  Enna Hirata, Takuma Matsuda

  This research aims to uncover coronavirus disease 2019’s (COVID-19's) impact on shipping and logistics using Internet articles as the source. This research applies web mining to collect information on COVID-19's impact on shipping and logistics from Internet articles. The information extracted is then analyzed through machine learning algorithms for useful insights. The research results indicate that the recovery of the global supply chain in China could potentially drive the global supply chain to return to normalcy. In addition, researchers and policymakers should prioritize two aspects: (1) Ease of cross-border trade and logistics. Digitization of the supply chain and applying breakthrough technologies like blockchain and IoT are needed more than ever before. (2) Supply chain resilience. The high dependency of the global supply chain on China sounds like an alarm of supply chain resilience. It calls for a framework to increase global supply chain resilience that enables quick recovery from disruptions in the long term. Differing from other studies taking the natural language processing (NLP) approach, this research uses Internet articles as the data source. The findings reveal significant components of COVID-19's impact on shipping and logistics, highlighting crucial agendas for scholars to research.

  Emerald, Oct. 2022, Maritime Business Review, 7(4) (4), 305 - 317, English

  [Refereed]

  Scientific journal


• Development of Researcher Network Visualization System by Matrix Researcher2vec

  Enna Hirata, Takahiro Yamashita, Seiichi Ozawa

  Sep. 2022, the Proceedings of the 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, 240 - 243, English

  [Refereed]

  International conference proceedings


• A Study on Market Forecast of International Logistics Using Natural Language Processing -Based on a Questionnaire Survey for Major Freight Forwarders in Japan

  Daisuke Watanabe, Enna Hirata, Maria Lambrou

  Sep. 2022, Proceedings of 2022 conference of International Association of Maritime Economists, English

  [Refereed]

  International conference proceedings


• Shipping Digitalization and Automation for the Smart Port

  Enna Hirata, Daisuke Watanabe, Maria Lambrou

  Shipping, like most industries, is undergoing a digital transformation process which influences existing business models and operational practices, in a multifaceted way. Today, the shipping business context has been changing to incorporate further social demands, environmental, innovation and sustainability priorities, into fundamental shipping strategies, while taking advantage of technological advancements. In the era of Industry 4.0, which constitutes a recent evolution of advanced communications and information technologies and further promotes sustainable, human-centric, and resilient business development strategies, shipping and port entities need to embrace a broader perspective and a deeper understanding of various elemental technologies, namely: Artificial Intelligence, Blockchain, Cloud Computing, Big Data, and Physical Internet, in addition to core maritime logistics matters. This chapter proposes a descriptive framework of shipping digitalization and port automation, while providing a review of related technologies and business approaches, also international initiatives, for automation in global ports. Hence the chapter offers insights for business practitioners to steer through the current challenging global environment, also for policy makers to gain a more informed understanding of maritime logistics developments, towards necessary coordination and oversight mechanisms implementation.

  IntechOpen, Jul. 2022, Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era, English

  [Refereed][Invited]

  In book


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

  Enna Hirata, Takuma Matsuda

  With the increasing availability of large datasets and improvements in prediction algorithms, machine-learning-based techniques, particularly deep learning algorithms, are becoming increasingly popular. However, deep-learning algorithms have not been widely applied to predict container freight rates. In this paper, we compare a long short-term memory (LSTM) method and a seasonal autoregressive integrated moving average (SARIMA) method for forecasting the comprehensive and route-based Shanghai Containerized Freight Index (SCFI). The research findings indicate that the LSTM deep learning models outperformed SARIMA models in most of the datasets. For South America and the east coast of the U.S. routes, LSTM could reduce forecasting errors by as much as 85% compared to SARIMA. The SARIMA models performed better than LSTM in predicting freight movements on the west and east Japan routes. The study contributes to the literature in four ways. First, it presents insights for improving forecasting accuracy. Second, it helps relevant parties understand the trends of container freight markets for wiser decision-making. Third, it helps relevant stakeholders understand overall container shipping market trends. Lastly, it can help hedge against the volatility of freight rates.

  {MDPI} {AG}, Apr. 2022, Journal of Marine Science and Engineering, 10(5) (5), 593 - 593, English, No password

  [Refereed]

  Scientific journal

  添付ファイルのURLLink to Kobe Univ. Repository (Kernel)


• Monopoly in the container shipping market: an econometric approach

  Takuma Matsuda, Enna Hirata, Tomoya Kawasaki

  Since the 2010s, market conditions for container shipping companies have been deteriorating owing to decreasing container cargo trade and increasing supply capacity. This study aims to contribute to the empirical literature on the container shipping industry market structure. Specifically, this study aims to investigate the extent of market competition. This study analyzes the market structure and evaluates the market power of shipping companies through a non-structural test. The H-statistic for the entire period of 2004–2018 was 0.37, which is significantly different from zero. This indicates the absence of monopoly pricing throughout the entire period. For the time-phased estimates, the H-statistic between 2004 and 2008 is 0.15, which is not significantly different from zero. On the other hand, the H-statistic from 2009 to 2018 was 0.40, which differs significantly from zero. As the Far East Freight Conference had released tariffs and charge rates by item for container shipping routes, monopolistic pricing is said to have appeared until the European Union abolished the European Economic Community (No. 4056/86) in 2008, before the economic crisis. However, this study indicates that pricing in the container shipping industry has been distinctly non-monopolistic; further, competition seems to have intensified since 2008. Industry competitiveness is of interest not only to academics but also to practitioners, including policymakers, especially when considering competition policies.

  Emerald, Dec. 2021, Maritime Business Review, 7(4) (4), 318 - 331, English, No password

  [Refereed]

  Scientific journal

  添付ファイルのURL


• A Study on the Applicability of Blockchain Technology in Physical Internet

  Enna Hirata

  Dec. 2021, Maritime Transportation Research, 70, 67 - 77, Japanese

  [Refereed]

  Scientific journal


• Similarity between Digital Platforms – A Machine Learning Approach

  Enna Hirata, Maria Lambrou, Daisuke Watanabe

  Nov. 2021, Proceedings of 2021 conference of International Association of Maritime Economists, English

  [Refereed]

  International conference proceedings


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

  Quazi Mohammed Habibus Sakalayen, Okan Duru, Enna Hirata

  Bulk shipping mostly facilitates the smooth flow of raw materials around the globe. Regardless, forecasting a bulk shipbuilding orderbook is a seldom researched domain in the academic arena. This study aims to pioneer an econophysics approach coupled with an autoregressive data analysis technique for bulk shipbuilding order forecasting. By offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The model has been evaluated through autoregressive integrated moving average analysis, and the outcome indicates a relatively stable good fit. The outcomes of the econophysics model indicate a relatively stable good fit. Although relevant maritime data and its quality need to be improved, the flexibility in refining the predictive variables ensure the robustness of this econophysics-based forecasting model. By offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The research result helps shipping investors make decision in a capital-intensive and uncertainty-prone environment.

  Emerald, Sep. 2021, Maritime Business Review, 6(3) (3), 234 - 255, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


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

  Yongpeng Wang, Daisuke Watanabe, Enna Hirata, Shigeki Toriumi

  In this study, we propose an effective method using deep learning to strengthen real-time vessel carbon dioxide emission management. We propose a method to predict real-time carbon dioxide emissions of the vessel in three steps: (1) convert the trajectory data of the fixed time interval into a spatial–temporal sequence, (2) apply a long short-term memory (LSTM) model to predict the future trajectory and vessel status data of the vessel, and (3) predict the carbon dioxide emissions. Automatic identification system (AIS) database of a liquefied natural gas (LNG) vessel were selected as the sample and we reconstructed the trajectory data with a fixed time interval using cubic spline interpolation. Applying the interpolated AIS data, the carbon dioxide emissions of the vessel were calculated based on the International Towing Tank Conference (ITTC) recommended procedures. The experimental results are twofold. First, it reveals that vessel emissions are currently underestimated. This study clearly indicates that the actual carbon dioxide emissions are higher than those reported. The finding offers insight into how to accurately measure the emissions of vessels, and hence, better execute a greenhouse gases (GHGs) reduction strategy. Second, the LSTM model has a better trajectory prediction performance than the recurrent neural network (RNN) model. The errors of the trajectory endpoint and carbon dioxide emissions were small, which shows that the LSTM model is suitable for spatial–temporal data prediction with excellent performance. Therefore, this study offers insights to strengthen the real-time management and control of vessel greenhouse gas emissions and handle those in a more efficient way.

  MDPI AG, Aug. 2021, Journal of Marine Science and Engineering, 9(8) (8), 871 - 871, English

  [Refereed]

  Scientific journal


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

  Enna Hirata, Maria Lambrou, Daisuke Watanabe

  This paper aims to retrieve key components of blockchain applications in supply chain areas. It applies natural language processing methods to generate useful insights from academic literature. It first applies a text mining method to retrieve information from scientific journal papers on the related topics. The text information is then analyzed through machine learning (ML) models to identify the important implications from the existing literature. The research findings are three-fold. While challenges are of concern, the focus should be given to the design and implementation of blockchain in the supply chain field. Integration with internet of things is considered to be of higher importance. Blockchain plays a crucial role in food sustainability. The research findings offer insights for both policymakers and business managers on blockchain implementation in the supply chain. This paper exemplifies the model as situated in the interface of human-based and machine-learned analysis, potentially offering an interesting and relevant avenue for blockchain and supply chain management researchers. To the best of the knowledge, the research is the very first attempt to apply ML algorithms to analyzing the full contents of blockchain-related research, in the supply chain sector, thereby providing new insights and complementing existing literature.

  Emerald, May 2021, Maritime Business Review, 6(2) (2), 114 - 128, English, No password

  [Refereed]

  Scientific journal

  添付ファイルのURLLink to Kobe Univ. Repository (Kernel)


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

  Ziaul Haque Munim, Okan Duru, Enna Hirata

  Blockchain technology, since its introduction, has been expected to be implemented in many areas. Cryptocurrency is one unique example that established a functioning application. On the other hand, blockchain technology is not immune to various challenges related to the nature of itself, privacy management, and antitrust laws, among others. This study lays out the nature of blockchain and applications in the maritime industry, while highlighting the bottlenecks. Potential resolutions and anticipated developments are proposed. To do this, we adopt a systematic approach and present an overview of blockchain in maritime literature. In addition, the fundamental problems with blockchain are investigated, beginning from their essentials to the pain points that are claimed to need improvement. For establishing a legitimate and practically meaningful blockchain platform, stakeholders need to achieve pluralism (consensus validation), privacy, and security of the system.

  MDPI AG, Mar. 2021, Journal of Marine Science and Engineering, 9(3) (3), 266 - 266, English

  [Refereed]

  Scientific journal


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

  Hoegwon Kim, Daisuke Watanabe, Shigeki Toriumi, Enna Hirata

  Many states are actively working toward regulating CO2 emissions from a wide range of industries. However, due to the international characteristic of shipping, the emissions from shipping have not yet been strictly controlled. Using Automatic Identification System (AIS) data acquired through satellites, this study estimates the emission inventory, such as, CO2, CH4, CH4, N2O, NOx, CO and non-methane volatile organic compounds (NMVOCs) around the world and bunker consumption from a liquified natural gas (LNG) fleet under the assumption that a LNG fleet uses LNG as fuel. Using position data calculated from an AIS database, we made comparisons regarding the LNG trade amount and bunker consumption of LNG fleet, as well as the total CO2 inventory and CO2 emissions from LNG fleet in the vicinity of the coasts of relevant countries. The result provides insights into (1) how the emissions and bunker consumption from LNG fleet is distributed, (2) which countries are taking relatively more advantages of LNG trade, and (3) which countries are suffering possible harmful effects.

  Last, {MDPI} {AG}, Jan. 2021, Sustainability, 13(3) (3), 1250 - 1250, English

  [Refereed]

  Scientific journal


• Forecasting container freight rate: A comparison of traditional and deep learning-based models

  Enna Hirata, Takuma Matsuda

  Nov. 2020, The Asian Logistics Round Table (ALRT) 2020 Conference, English

  [Refereed]

  International conference proceedings


• Service recovery and customer satisfaction in container liner shipping industry - an ordered logit approach

  Enna Hirata

  Inderscience Publishers, Nov. 2020, International Journal of Shipping and Transport Logistics, 12(6) (6), 563 - 563, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• A Discussion on How Covid-19 Impacts Shipping and Logistics: Implications from Machine Learning Perspective

  Enna Hirata, Takuma Matsuda

  Sep. 2020, Proceedings of the 8th International Conference on Transportation and Logistics, English

  [Refereed]

  International conference proceedings


• Application of Blockchain in Supply Chain: Insights from Machine Learning

  Enna Hirata, Maria Lambrou, Daisuke Watanabe

  Sep. 2020, Proceedings of 2020 Conference of International Association of Maritime Economists, English

  [Refereed]

  International conference proceedings


• Blockchain and port digitization : an overview of the TradeLens and the latest developments

  Enna Hirata

  Apr. 2020, 港湾荷役, 65(4) (4), 411 - 416, Japanese

  [Invited]

  Research institution


• Discussions On The Possibility Of Using Block Chain Technology In Shipping And Logistics Industry

  Enna Hirata

  Oct. 2019, Journal of logistics and shipping economics, 53, 61 - 70, Japanese

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Analyzing spatial autocorrelation in AIS based LNG emitted bunker consumption

  Howgwon Kim, Daisuke Watanabe, Enna Hirata

  Last, Aug. 2019, Proceedings of the International Conference on Logistics and Industrial Engineering (ICLIE2019), 1 - 6, English

  [Refereed]

  International conference proceedings


• Measuring structure-conduct-performance in the container shipping market

  Enna Hirata

  Jun. 2019, Proceedings of 2019 Conference of International Association of Maritime Economists, English

  [Refereed]

  International conference proceedings


• Service characteristics and customer satisfaction in the container liner shipping industry

  Enna Hirata

  Elsevier {BV}, Mar. 2019, The Asian Journal of Shipping and Logistics, 35(1) (1), 24 - 29, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• A non-structural approach to assess competitive conditions in container liner shipping market: 2009-2014

  Enna Hirata

  Inderscience Publishers, Oct. 2018, International Journal of Shipping and Transport Logistics, 10(5/6) (5/6), 500 - 500, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Service characteristics in container liner shipping industry

  Enna Hirata

  Jun. 2018, Proceedings of the 11th International Conference of Asian Shipping and Logistics, English

  [Refereed]

  International conference proceedings


• Service recovery and customer satisfaction in container liner shipping industry

  Enna Hirata

  Jun. 2017, Proceedings of 2017 conference of International Association of Maritime Economists, English

  [Refereed]

  International conference proceedings


• Contestability of Container Liner Shipping Market in Alliance Era

  Enna Hirata

  Elsevier {BV}, Mar. 2017, The Asian Journal of Shipping and Logistics, 33(1) (1), 27 - 32, English

  [Refereed]

  Scientific journal


• Demand Elasticity and Competitive Conditions in Container Liner Shipping Market

  Enna Hirata

  Sep. 2016, Proceedings of 2016 conference of International Association of Maritime Economists, English

  [Refereed]

  International conference proceedings


• The Effect of Container Liner Shipping on Economic Growth: A Panel Data Analysis

  Enna Hirata, Hideki Murakami

  May 2016, Proceedings of International Forum on Shipping, Ports and Airports (IFSPA) 2015, 318 - 325, English

  [Refereed]

  International conference proceedings


• Liner Shipping Market Contestability in Alliance Era

  Enna Hirata, Hideki Murakami

  日本海運経済学会, Oct. 2015, Journal of Logisistics and Shipping Economics, (49) (49), 41 - 50, English

  [Refereed]

  Scientific journal

• Common challenges and solutions for shipping and aviation in the DX era

  Enna Hirata

  Lead, Nov. 2023, Takeoff, (173) (173), 24 - 31, Japanese

  [Invited]

  Introduction commerce magazine


• Japanese Logistics in the Post-Corona Era as Seen in the SNS Data

  Enna Hirata, Takuma Matsuda

  Lead, Aug. 2022, 運輸と経済, 82(8) (8), Japanese

  [Invited]


• Blockchain - A Breakthrough Technology for Trade and Logistics

  Enna Hirata

  Lead, Aug. 2019, Japan Maritime Daily, Japanese

  [Invited]

  Introduction commerce magazine

• Introduction to International Transport and Logistics

  平田 燕奈, 松田 琢磨, 渡部 大輔

  Joint work, 第1章 第6章 第8章 第13章 第14章, 晃洋書房, Sep. 2022, ISBN: 4771036721


• Supply chain : recent advances and new perspectives in the industry 4.0 era

  Enna Hirata, Daisuke Watanabe, Maria Lambro

  Joint work, Chapter 7, IntechOpen, Jan. 2022, English, Shipping, like most industries, is undergoing a digital transformation process which influences existing business models and operational practices, in a multifaceted way. Today, the shipping business context has been changing to incorporate further social demands, environmental, innovation and sustainability priorities, into fundamental shipping strategies, while taking advantage of technological advancements. In the era of Industry 4.0, which constitutes a recent evolution of advanced communications and information technologies and further promotes sustainable, human-centric, and resilient business development strategies, shipping and port entities need to embrace a broader perspective and a deeper understanding of various elemental technologies, namely: Artificial Intelligence, Blockchain, Cloud Computing, Big Data, and Physical Internet, in addition to core maritime logistics matters. This chapter proposes a descriptive framework of shipping digitalization and port automation, while providing a review of related technologies and business approaches, also international initiatives, for automation in global ports. Hence the chapter offers insights for business practitioners to steer through the current challenging global environment, also for policy makers to gain a more informed understanding of maritime logistics developments, towards necessary coordination and oversight mechanisms implementation., ISBN: 9781803553726

  DOI


• Introduction to Data Science

  齋藤, 政彦, 小澤, 誠一, 羽森, 茂之, 南, 知惠子

  Contributor, Chapter 1 （pp.1-40）, 培風館, Mar. 2021, Japanese, ISBN: 9784563016104


• e-Shipping: Digitization in International Shipping Business

  Enna Hirata, Takayuki Mori

  Author, Kaibundo Publishing Co., Ltd, Oct. 2018, Japanese, ISBN: 9784303164140

• Next Generation;Logistics Network Physical Internet's Mechanism and Implementation Examples

  平田燕奈

  JB Press Japan Innovation Review Forum, Apr. 2024, Japanese

  [Invited]

  Public discourse


• 物流倉庫におけるピッキングの最適化

  上野大樹, 平田燕奈

  2023土木計画研究会秋大会, Nov. 2023, Japanese

  Oral presentation


• フィジカルインターネットにおける物流拠点の最適立地と配送ルートの最適化

  長縄尚駿, 平田燕奈

  2023土木計画研究会秋大会, Nov. 2023, Japanese

  Oral presentation


• Research Topics and Methods in Maritime Decarbonization: A Natural Language Processing Approach

  Hirata, Enna, Li, Kevin, Watanabe, Daisuke

  International Association of Maritime Economists (2023), Sep. 2023, English

  Oral presentation


• Industry 4.0: technologies for next-generation maritime logistics and shipping digitalization

  Enna Hirata

  Emerging Topics in Transportation Studies, Feb. 2023, English

  [Invited]

  Public discourse


• Advanced Technologies and Recent Applications in Smart Ports

  Enna Hirata

  Utilizing Digital Technology in the Field of Trade Facilitation under the Current COVID-19 Pandemic and Beyond: Best-Practices Sharing Workshops, Asia-Pacific Economic Cooperation, Jan. 2023, English

  [Invited]

  Nominated symposium


• Development of Researcher Network Visualization System by Matrix Researcher2vec

  Enna Hirata, Takahiro Yamashita, Seiichi Ozawa

  The 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, Sep. 2022, English

  [Invited]

  Oral presentation


• Decoding Logistics Trend in Japan using SNS Data

  Enna Hirata, Takuma Matsuda

  International Association of Maritime Economists Conference 2022, Sep. 2022, English

  Oral presentation


• A Study on Market Forecast of International Logistics Using Natural Language Processing -Based on a Questionnaire Survey for Major Freight Forwarders in Japan

  Daisuke Watanabe, Enna Hirata, Maria Lambrou

  International Association of Maritime Economists Conference 2022, Sep. 2022, English

  Oral presentation


• ブロックチェーン技術と国際物流

  平田燕奈

  JMC 海事振興セミナー, Jul. 2022, Japanese

  [Invited]

  Public discourse


• SNSデータから見るポストコロナ時代の日本物流

  平田燕奈, 松田琢磨

  日本海運経済学会；日本交通学会, Jun. 2022, Japanese

  [Invited]

  Oral presentation


• Maritime and Climate Change - Introduction of Related Research in Japan

  Enna Hirata

  JSPS JARA EVENT 2022 Denmark, Mar. 2022, English

  [Invited]

  Keynote oral presentation


• Application of AI and Blockchain Technology in Smart Container Terminal

  Enna Hirata

  African Development Senior Managers Forum on Towards Smart Strategies for Sustainable Container Terminal in the era of Blockchain and Big Data, Jan. 2022, English

  [Invited]

  Invited oral presentation


• Similarity between Digital Platforms – A Machine Learning Approach

  Enna Hirata, Maria Lambrou, Daisuke Watanabe

  International Association of Maritime Economists, Nov. 2021, English

  Oral presentation


• Blockchain and Shipping

  Enna Hirata

  the Japan Society of Naval Architects and Ocean Engineers, Oct. 2021, Japanese

  [Invited]

  Nominated symposium


• Covid-19 and Global Logistics –Implications from text mining perspective

  Enna Hirata, Takuma Matsuda

  International Conference of Transportation and Logistics, Sep. 2020, English

  Oral presentation


• Identifying Trends for Blockchain Application in Supply Chain Using Text Mining

  Enna Hirata, Maria Lambrou, Daisuke Watanabe

  Conference of International Association of Maritime Economists, Jun. 2020, English

  Oral presentation


• ブロックチェーン技術を活用したサプライチェーン管理

  平田燕奈

  日経 xTECH EXPO 2019, Oct. 2019, Japanese, International conference

  [Invited]

  Invited oral presentation


• 外航海運業務電子化と革新的テクノロジー

  平田燕奈

  日本海運集会所, Sep. 2019, Japanese, Domestic conference

  Public discourse


• Economic effects of M & A in the container shipping industry

  Takuma Matsuda, Enna Hirata Tomoya Kawasaki

  The 36th Annual Meeting of the Logistics Society of Japan, Sep. 2019, Japanese

  Oral presentation


• A Blockchain Solution for Shipping and Logistics

  Enna Hirata

  International Association of Port and Harbors 2019, May 2019, English, International conference

  [Invited]

  Public discourse


• 海運業界における業務電子化（現状と動向）

  平田燕奈

  海事振興連盟・海洋立国懇話会, Apr. 2019, Japanese, Domestic conference

  [Invited]

  Public discourse


• Digitizing Global Supply Chain – An Application of Blockchain in Shipping

  Enna Hirata

  The Maritime CIO Forum, Oct. 2018, English, International conference

  [Invited]

  Public discourse


• Service Characteristics and Customer Satisfaction in Container Liner Shipping Industry

  Enna Hirata

  the 11th International Conference of Asian Shipping and Logistics, Jun. 2018, English


• Service characteristics in container liner shipping industry

  Enna Hirata

  The 11th International Conference of Asian Shipping and Logistics, Jun. 2018, English, International conference

  Oral presentation


• コンテナ船業界のサービスリカバリーと顧客満足度

  平田燕奈

  日本海運経済学年次大会, Oct. 2017, Japanese, Domestic conference

  Oral presentation


• Service recovery and customer satisfaction in container liner shipping industry

  Enna Hirata

  Service recovery and customer satisfaction in container liner shipping industry, Jun. 2017, English, International conference

  Oral presentation


• Demand Elasticity and Competitive Conditions in Container Liner Shipping Market

  Enna Hirata

  The Conference of International Association of Maritime Economists, Aug. 2016, English, International conference

  Oral presentation


• A Panel Data Analysis to the Effect of Container Liner Shipping on Economic Growth

  Enna Hirata

  International Forum on Shipping, Ports and Airports, Dec. 2015, English, International conference

  Oral presentation

• Japan Society of Civil Engineers

  Sep. 2023 - Present


• Japan Logistics Society

  2021 - Present


• The Japanese Society for Artificial Intelligence

  Feb. 2020 - Present


• INFORMATION PROCESSING SOCIETY OF JAPAN

  Sep. 2019 - Present


• Workshop For Logistics In Asia

  Jan. 2019 - Present


• International Association of Maritime Economists (IAME)

  Apr. 2016 - Present


• JAPAN SOCIETY OF LOGISTICS AND SHIPPING ECONOMICS

  Sep. 2015 - Present

• フィジカルインターネットにおける物流拠点の設計

  平田 燕奈

  日本学術振興会, 科学研究費助成事業 基盤研究(C), 基盤研究(C), 神戸大学, Apr. 2023 - Mar. 2026, Principal investigator


• Research on operational efficiency and environmental load reduction of ships and land transportation in smart ports

  渡部 大輔, 鳥海 重喜, 平田 燕奈, 近藤 智士

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Tokyo University of Marine Science and Technology, Apr. 2021 - Mar. 2026, Coinvestigator


• Measuring Market Power in Container Liner Shipping Industry

  Hirata Enna

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, Apr. 2017 - Mar. 2020, Principal investigator

  The key research findings are summarized as follows. (1)The top three service characteristics influencing customer satisfaction in Container Liner Shipping (henceforth: CLS) industry are “quality of customer service representative”, “quality of digitization” and “quality of sales representative”. (2) Economy of scale in CLS industry has been fading since 2009 and dis-economy of scale has been observed in recent years. Larger share of fleet capacity (measured in numbers of twenty-foot equivalent unit owned) does not yield higher profitability for a shipping company (shipping company). (3) M&As in CLS industry do not have a positive effect on firms’ profitability but do improve firms’ stability and reduce risks of bankruptcy. The research findings were captured in four papers, out of which three were published in peer reviewed international scientific journals.

• Container Shipping Summit (Singapore)

  Ocean Network Express

  Panelist, https://one-container.com/en/, 03 Aug. 2023 - 04 Aug. 2023


• 物流におけるビッグデータ活用の最前線 ～ビジネスへの応用を探る！～

  Shippio Logistics DX Summit

  Panelist, https://service.shippio.io/conference/lds2023/, 02 Mar. 2023 - 03 Mar. 2023


• Japan Society of Logistics and Shipping Economics Annual Conerence (2021)

  The University of Tokyo

  Panelist, ポストコロナ時代の海運・航空分野のデジタライゼーション, 17 Oct. 2021 - 17 Oct. 2021


• Trends and outlook: Transitioning to a digital future

  Digital Ship

  Panelist, Aug. 2018

• 気鋭の有識者、国際物流変革にビッグデータやブロックチェーンは不可欠と指摘

  LOGI-BIZ, 06 Apr. 2023, https://online.logi-biz.com/78934/

  Internet


• ブロックチェーンが切り開く貿易物流

  日本海事新聞, Aug. 2019

  Paper


• ブロックチェーン技術を活用したエコシステム構築

  日経ＢＰ, Dec. 2018

  Internet

• ASIAN LOGISTICS ROUND TABLE (ALRT) CONFERENCE

  ASIAN LOGISTICS ROUND TABLE (ALRT) CONFERENCE

  University of Tasmania

  01 Sep. 2020 - Present

  Academic society etc


• Transportation Research Part E: Logistics and Transportation Review

  Transportation Research Part E: Logistics and Transportation Review

  Elsevier

  01 Aug. 2020 - Present

  Peer review etc


• Maritime Policy and Management

  Maritime Policy and Management

  Taylor & Francis

  01 Sep. 2018 - Present

  Peer review etc


• International Association of Maritime Economists (IAME) conference 2023 (Long Beach), Session Chair

  International Association of Maritime Economists (IAME) conference 2023 (Long Beach), Session Chair

  International Association of Maritime Economists (IAME) conference

  05 Sep. 2023 - 08 Sep. 2023

  Academic society etc


• International Conference on Neural Information Processing 2022

  International Conference on Neural Information Processing 2022

  22 Nov. 2022 - 26 Nov. 2022

  Competition etc


• International Conference on Neural Information Processing 2021

  International Conference on Neural Information Processing 2021

  08 Dec. 2021 - 12 Dec. 2021

  Competition etc


• Program Committee Member

  Program Committee Member

  International Joint Conference on Neural Networks (2021)

  18 Jul. 2021 - 20 Jul. 2021

  Competition etc


• International Symposium on Sustainable Logistics

  International Symposium on Sustainable Logistics

  Toros University

  30 Apr. 2021 - 30 Apr. 2021

  Competition etc


• Growth and Change, Wiley

  Growth and Change, Wiley

  Growth and Change, Wiley

  Peer review etc


• The Asian Journal of Shipping and Logistics, Elsevier

  The Asian Journal of Shipping and Logistics, Elsevier

  The Asian Journal of Shipping and Logistics, Elsevier

  Peer review etc


• International Journal of e-Navigation and Maritime Economy, Elsevier

  International Journal of e-Navigation and Maritime Economy, Elsevier

  International Journal of e-Navigation and Maritime Economy, Elsevier

  Peer review etc


• Conference of International Association of Maritime Economists

  Conference of International Association of Maritime Economists

  Conference of International Association of Maritime Economists

  Competition etc


• International Journal of Shipping and Transport Logistics, Inderscience

  International Journal of Shipping and Transport Logistics, Inderscience

  International Journal of Shipping and Transport Logistics, Inderscience

  Peer review etc