CLOSED: Call for Papers: Special Issue on Trends in Big Data & Cloud Computing for Supply Chain and Logistics Management

IEEE Transactions on Big Data seeks submissions for this upcoming special issue.
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Submissions Due: 25 May 2023

Important Dates

  • Submission deadline: July 20 2023
  • Author notification: Aug 17, 2023
  • Revised papers due: Nov 18, 2023
    Final notification: Jan 21, 2024

Publication: TBA

In today’s modern world, every business needs to realign its strategies to satisfy customer demand and remain competitive in the ever-changing business world. A well-planned supply chain would create a resilient manufacturing system with the enhancement of a faster production cycle. Digitalization is transforming businesses in every sector due to its intelligent systems and efficient decision-making process. The development of information technology, economic globalization, increasing customer expectations have forced organizations to adopt digitalized technologies. Digitizing the supply chain and logistics strategies helps companies to create transparency and visibility in the production and delivery system through an interconnected end-to-end manufacturing system. Businesses today are dealing with a massive amount of data to reach an efficient, effective, and integrated supply chain system. To make sense of data, supply chain professionals need new skills, strategies, and efficient tools that analyze the numbers and provide insights into the trends. Big data and cloud computing play a vital role in analyzing complex data and create an optimized platform by providing software solutions for the entire supply chain network via the internet. Big data and cloud computing are transforming the information era by providing relative cost advantages to the organization. The crossroads of these technologies, implies the usage of cloud computing services and platforms to support complex data analytics research, imparting accurate solutions for supply chain and logistics management. Traditional supply chain and logistics management systems are way more transactional and cannot provide real-time accuracy and 360 degrees dimensional cloud management solutions. Many businesses have started to adopt digital technology to streamline their business operations and satisfy the customer demand for fast delivery services. Further, big data and cloud computing will enable efficient collaboration and end-to-end visibility across all the processes.

Big data and cloud computing have a variety of applications in supply chain and logistics management from improving the delivery system by streamlining the shipments to analyzing better ways that reduce the communication gap between the original equipment manufacturer and the suppliers. Integration of big data would streamline the e-commerce operations by using an algorithm for accurate delivery prediction, increased automation in the warehouse, and advanced mobile technology for route optimization. It aids in better inventory management by identifying the customer demand and preference in a specific location that manages the flow of the supply chain for best-selling products. Cloud computing interface provides better visibility across businesses processes that help supply chain managers to work in a collaborative environment with seamless connectivity. Using advanced predictive analysis, cloud computing enables faster execution and planning according to market conditions. Implementing these two technologies comes with relative challenges where research and development need to focus on. Integrating these technologies requires sufficient resources for processing massive data that predict and forecast needed resources. Security and privacy are major concerns when data is being used in business operations. Adoption of cloud technologies requires advanced platforms and infrastructure which many businesses have failed to adopt. In the future, big data and cloud computing would rule the supply chain and logistics sector with their reliability and intelligence in handling the production process. This special issue enumerates the trends in big data and cloud computing for digital supply chain management and the future technologies that would make businesses more efficient and productive. We welcome scholars and practitioners of this platform to emphasize more on this topic and present submissions that fall within the scope of big data and cloud computing for smarter supply chain and logistics management.

The topic of interest includes the following:

  • Big data virtualization for IoT-based cloud environment
  • Predictive algorithm for supply and demand prediction
  • Business process operations and workflow management in the cloud
  • Cybersecurity practices for efficient tracking of delivery routes
  • Big data & cloud technology for forecasting the warehouse operations
  • Smarter tracking system for implementing effective logistics system.
  • Role of Advanced computing for reliable supply chain
  • Smart supply chain and data security using bid data analytics.
  • Supply chain 4.0 and its implication in the production sector. 
  • Role of IoT in creating resilient supply chain operations post covid-19

Submission Guidelines

For author information and guidelines on submission criteria, please visit TBD‘s Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.


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