CALL FOR PAPER for the Special Issue on Special Session on “Decision Analytics and Trade Ideology: New Perspectives of Maritime Logistics”
Advancements in decision analytics are recently transforming the business and operations of maritime logistics. Valuable insights are derived from enormous and vast data sets when managing the massive flow of goods and individuals. Insights from decision analytics drive new opportunities and innovations in delivering operational efficiencies and sustaining a success under the dynamic trading environment. New trading trends in Belt and Road Initiatives shape the future of globalisation while trade protectionism triggered from the US-China Trade War and post-Brexit economy affect decisions of maritime logistics operators. Every decision, from alliance and network strategic planning to vessel deployment and terminal berthing operations management, is vital. Prompt and precise decision supports from advanced data analytics principles and methods are required in order to sustain in these dynamic and complex maritime economics and operations. Research papers are invited to explore new perspectives and insights for shipping, ports, terminals, and third-party logistics in any of the below maritime logistics aspects.
Decision analytics on maritime logistics
Stakeholders in maritime logistics are actively exploring advanced data analytics initiatives in their business and operations to be competitive under the complex trading and operations environment. New challenges on trade and network, marketing intelligence, operational efficiency enhancements, and sustainability and safety are continuously discussed. How the complex data and pattern in these issues could be analysed, learned, controlled and forecasted? Recent research on advanced decision analytics and intelligence are carried out in increasingly complex areas, for example, trade pattern forecasting, customer behaviour prediction, network pricing and yield management, productivity and performance management, operations effectiveness, and safety and energy efficiency. There are researches on big data for analysing and predicting customer behaviour and artificial intelligence (AI) in optimising vessel allocation utilisation and yield. What methodologies in big data analytics, AI, machine learning, business intelligence or e-commerce could be developed for these issues? How could these methods be sustained and improve maritime logistics?
Trade Paradox – protectionism vs globalization
Recent US-China Trade War and Brexit create spiral trade protectionism effect in logistics and supply chain. This moves in a different direction against China’s Belt and Road Initiatives, an open world economy policy aligning the globalisation trend, via corridor development on economics, transport and infrastructure. Both policies impact trade, supply chain pattern, network and operations in sectors including ship liner, bulk and tanker, port and terminal, and third-party sea-borne logistics. Hypothetical, empirical and analytical research about these topics affecting export and import trade, alliance and pricing, tax and commodity policies, network, routing and connectivity, port and hub relocation, vessel deployment, transport modal shift, coastal transport, and short-sea shipping are encouraged. Insights and findings will certainly accelerate the development of trade and logistics in the academics and industry.
Data analytics driving on trade decision strategies
Trade war has certainly brought new dimensions and assaults to the globalisation initiatives which have been promoted in the recent decades. International Monetary Fund warned that US-China trade war could cost global economy US$430 billion in 2020. Protectionism in trade war affect oil prices and nearly all commodities, affecting from small business to large conglomerates. These changes add new dimensions to the trade pattern, shipping service route, vessel deployment, port call and terminal throughput. Brexit has brought the threat of London Independence to globalisation. This has already triggered effects of company relocation and changes in supply chain pattern. Mixing the changes to other global policies like Belt and Road Initiatives increases the complexity for decisions in trade logistics. How the emerging data analytics, digitisation, and advanced technologies could facilitate a better data transparency, more efficient cross border logistics, and higher operations effectiveness in the ever-changing trade policies? In the era of complex and dynamic maritime industry, with vast amount of correlated data, decision analytics plays an important role in whether logistics operators could sustain their maritime business and operations in the vibrant market. Research on big data analytics, blockchain, business intelligence, artificial intelligence (AI), and Internet of Things (IoT) driving decisions trade and operations decisions could be also be explored.
The aim of this issue is to attract research on new perspective in maritime logistics, including decision analytics, trade protectionism and globalisation, in particular the analytics and their impacts towards these trade ideologies. It also aims to promote innovations and new insights in maritime logistics, especially in the era of big data and spiral effect on the recent trade war, Brexit, Belt and Road Initiatives, and Greater Bay Area, through submissions of high-quality research papers. Results and findings in this issue will benefit research scholars in the academic as well as shipping companies, terminal operators, third-party logistics service providers, and government policymakers in the industry.
Topics include, but are not limited to, the following:
- Big data analytics, Artificial Intelligence, machine learning, business intelligence, e-commerce, or digital twin on maritime logistics;
- Decision analytics and optimisation on trade and alliance, network and routing, revenue management, vessel slot allocation, customer behaviour, automatic tracking, operations effectiveness and sustainability development;
- Innovations on decision support models for operations effectiveness, safety and energy efficiency and performance measurement in maritime transport;
- Data analytics on port and terminal, bulk and tanker, and third-party sea-borne logistics;
- Strategies of maritime logistics in facilitating the open economy (e.g. Belt and Road Initiatives, Greater Bay Area, and Arctic shipping) against trade protectionism (e.g. US-China Trade War, Brexit, and cabotage);
- Emerging decision analytics and technologies driving globalization or protectionism; and
- Structural changes and economic impacts of protectionism against globalisation on international trade, transport markets, and maritime logistics.
Key Dates
Special issue announcement: 15 November 2019
Date of open submission: 1 April 2020
Manuscript Submission Deadline: 30 September 2020
Guest Editors
Dr. Jasmine S. L. LAM, Nanyang Technological University, Singapore (E-mail: sllam@ntu.edu.sg)
Prof. Adolf K. Y. NG, University of Manitoba, Canada (E-mail: adolf.ng@umanitoba.ca)
Dr. Eugene Y.C. WONG, The Hang Seng University of Hong Kong, Hong Kong (E-mail: eugenewong@hsu.edu.hk)
Dr. T. L. YIP, The Hong Kong Polytechnic University, Hong Kong (E-mail: t.l.yip@polyu.edu.hk)
Special Session of IAME Conference
The Special Session on “Decision Analytics and Trade Ideology: New Perspectives of Maritime Logistics” will select papers presented at the 28th Annual Conference of the International Association of Maritime Economists (IAME), Hong Kong, 10 – 13 June, 2020. The papers will need to be extended and improved to meet TRE’s publication criteria and requirements, before submitted for paper review process. Papers which have not been submitted and presented in the IAME conference are also welcomed.
Journal Special Issue Best Paper Award
A Journal Special Issue Best Paper Award with a price of HK$5,000 will be given to the awardee. The award is sponsored by Mediterranean Shipping Company (Hong Kong) Limited.
Submission and review process
Submission process and papers must adhere to the normal author guidelines of Transportation Research Part E: Logistics and Transportation Review, which can be found at:
https://www.elsevier.com/journals/transportation-research-part-e-logistics-and-transportation-review/1366-5545/guide-for-authors. Submission must be made via https://www.evise.com/profile/api/navigate/TRE with clear selection indicating that the submission is for this Special Issue.
All submissions to the Journal TRE: should be submitted via the Transportation Research Part E online submission system. When you submit your paper to the special section, please choose article type “D. Analytics & T. Ideology” otherwise your submission will be handled as a regular manuscript. Papers submitted to the Special Issue will be subjected to a normal thorough double-blind review process.
为“决策分析与贸易意识形态：海运物流的新视角”特别专题专刊征集论文
决策分析的进步最近正在改变海运物流的业务和运营。在管理大量的商品流和人流时，有价值的见解来自于大量的数据集。决策分析的见解推动了在动态交易环境下实现运营效率和保持成功的新机遇和创新。“一带一路”倡议的新贸易趋势塑造了全球化的未来，而美中贸易战和英国脱欧后经济引发的贸易保护主义影响了海运物流运营商的决策。从联盟和网络战略规划到船舶部署和码头停泊运营管理，每一个决策都至关重要。为了维持这些动态和复杂的海洋经济和运营，需要先进的数据分析原理和方法提供及时和准确的决策支持。研究论文将被邀请探索航运、港口、码头和第三方物流在以下任何海运物流方面的新视角和见解。
海运物流决策分析
海运物流的利益相关者正在积极探索其业务和运营中的先进的数据分析方案，以便在复杂的贸易和运营环境下具有竞争力。在贸易和网络、营销情报、运营效率提高以及可持续性和安全性方面的新挑战不断得到讨论。如何对这些问题中复杂的数据和模式进行分析、学习、控制和预测？最近，高级决策分析和智能的研究在越来越复杂的领域进行，例如，贸易模式预测、客户行为预测、网络定价和收益管理、生产力和绩效管理、运营效率以及安全和能源效率。在分析和预测客户行为的大数据和优化船舶配置利用率和收益率的人工智能（AI）方面有研究。在大数据分析、人工智能、机器学习、商业智能或电子商务方面，可以开发哪些方法来解决这些问题？如何维持这些方法并改善海上物流？
贸易悖论——保护主义与全球化
最近的美中贸易战和英国脱欧在物流和供应链上造成了螺旋式的贸易保护主义效应。这与中国的“一带一路”倡议背道而驰。一带一路是一项开放的世界经济政策，旨在通过经济、交通和基础设施的走廊发展，调整全球化趋势。这两项政策都对贸易、供应链模式、包括班轮、散货和油轮、港口和码头以及第三方海运物流的网络和运营产生影响。鼓励对这些影响进出口贸易、联盟和定价、税收和商品政策、网络、路线和连通性、港口和枢纽搬迁、船舶部署、运输方式转移、沿海运输和短途海运的这些主题进行假设性、实证性和分析性研究。见解和发现必将加速学术界和工业界贸易和物流的发展。
数据分析推动贸易决策策略
贸易战无疑给近几十年来推动的全球化举措带来了新的维度和冲击。国际货币基金组织（IMF）警告称，美中贸易战可能使全球经济在2020年损失4300亿美元。贸易战中的保护主义影响到原油价格和几乎所有商品，影响范围从小企业到大企业集团。这些变化为贸易模式、航运服务路线、船舶部署、港口停靠和码头吞吐量增加了新的维度。英国脱欧给全球化带来了伦敦独立的威胁。这已经引发了公司搬迁和供应链模式变化的影响。将其他全球政策（如“一带一路”倡议）的变化混合在一起，会增加贸易物流决策的复杂性。新兴的数据分析、数字化和先进技术如何在不断变化的贸易政策中促进更好的数据透明度、更高效的跨境物流和更高的运营效率？在复杂多变的海运业时代，伴随着大量的相关数据，决策分析对于物流运营商能否在充满活力的市场中维持其海运业务和运营起着重要的作用。还可以探索大数据分析、区块链、商业智能、人工智能（AI）和物联网（IoT）驱动贸易和运营决策的研究。
本课题的目的是吸引对海运物流新视角的研究，包括决策分析、贸易保护主义和全球化，特别是分析方法及其对这些贸易意识形态的影响。它还旨在通过提交高质量的研究论文，促进海运物流领域的创新和新见解，特别是在大数据时代，以及对最近的贸易战、英国脱欧、一带一路倡议和大湾区的螺旋效应。本课题的研究结果将有助于学术界的研究学者，以及航运公司、码头运营商、第三方物流服务提供商以及行业内的政府决策者。
主题包括但不限于以下内容：
• 大数据分析、人工智能、机器学习、商业智能、电子商务或海运物流数字孪生；
• 贸易和联盟、网络和路线、收入管理、船位分配、客户行为、自动跟踪、运营效率和可持续发展的决策分析和优化；
• 海运运输运营效率、安全和能源效率和绩效评估的决策支持模型创新；
•港口和码头、散货船和油轮以及第三方海运物流的数据分析；
• 促进开放经济的海运物流战略（如“一带一路”倡议、大湾区和北极航运）反对贸易保护主义（如美中贸易战、脱欧和沿海航行权）；
• 推动全球化或保护主义的新兴决策分析和技术；以及
• 针对全球化的贸易保护主义对国际贸易、运输市场和海运物流的结构变化和经济影响。
重要日期
特刊公告：2019年11月15日
公开提交日期：2020年4月1日
稿件提交截止日期：2020年9月30日
特邀编辑
Dr. Jasmine S. L. LAM, 南洋理工大学, 新加披(E-mail: sllam@ntu.edu.sg)
Prof. Adolf K. Y. NG, 曼尼托巴大学, 加拿大(E-mail: adolf.ng@umanitoba.ca)
Dr. Eugene Y.C. WONG, 香港恒生大学, 香港(E-mail: eugenewong@hsu.edu.hk)
Dr. T. L. YIP, 香港理工大学, 香港(E-mail: t.l.yip@polyu.edu.hk)
IAME会议特别专题
“决策分析与贸易意识形态：海运物流新视角”特别专题将选择在世界海运经济学会（IAME）第二十八届年会上展示的论文，香港，2020年6月10日—6月13日。在提交论文评审程序之前，需要对论文进行扩展和改进，以满足TRE的出版标准和要求。还欢迎尚未在IAME会议上提交和展示的论文。
期刊特刊最佳论文奖
期刊特刊最佳论文奖受奖者将获赠奖金5000港元。该奖项由地中海航运公司（香港）有限公司赞助。
提交和审查过程
提交过程和论文必须遵守TRE的一般作者指南，可在以下网址找到：
https://www.elsevier.com/journals/transportation-research-part-e-logistics-and-transportation-review/1366-5545/guide-for-authors. 提交必须通过https://www.evise.com/profile/api/navigate/TRE 并明确地选择表明提交的是该期特刊。
所有提交到TRE期刊的论文应该通过在线提交系统提交。当你提交你的论文到特别部分，请选择文章类型“D. Analytics & T. Ideology”，否则你的提交将作为一个常规的手稿处理。提交给特刊的论文将接受正常的、彻底的双盲审查程序。