Calls for papers


International Journal of Spatio-Temporal Data Science
International Journal of Spatio-Temporal Data Science


ICALT 2020: Special Issue on: "Enabling Artificial Intelligence and Blockchains in Data-driven Supply Chains"

Guest Editor:
Prof. Samia Chehbi-Gamoura, Strasbourg University, France

Artificial Intelligence (AI) and Blockchain Technology (BT) are the pair of paradigms that are being involved in powering innovation in almost the business activities of today. Despite the difference between the two paradigms, research works that discuss and investigate their applications are becoming the hottest trends nowadays.

The Blockchains, empowered by decentralization, immutability, and trustfulness abilities in managing systems, they are gaining in an increasing business use cases such as smart contracts, Autonomous Freight Vehicles (AFV), Autonomous Connected Factory (ACF), and so forth. Artificial Intelligence approaches, endowed by advanced analytics, optimized methods, and predictive decisions are multiplying usage in many management fields such as smart manufacturing, marketing automation, predictive maintenance, customers’ segmentation, etc.

In Supply Chain Management (SCM), Data is taking the lead and orienting decisions instead of experience and best practices. Indeed, traditional management systems are today facing huge hurdles in a changing volatile and strong competitiveness that is almost built on the digitalized environment. In such a context, Artificial Intelligence and Blockchain Technology are revolutionizing the way the management of processes is accomplished. Changes are affecting the Supply Chain at all levels; in operational, tactical, and strategic as well as all the information, financial and physical flows management. Furthermore, both paradigms; AI and BT; are emerging as the "next management revolution", and they are accordingly causing substantial consideration from both industrials and academics in SCM.

Moreover, mutations caused by AI and BT in SCM are engendering new business opportunities, but also generating unexpected new challenges by transforming the existing operations. For that reason, the objective of this special session is to invite academics to discuss and investigate the way AI and BT are affecting the SCM in sighting the new research opportunities and the new challenges.

Subject Coverage
Suitable topics include, but are not limited, to the following:

  • Artificial Intelligence in connection with Supply Chain Management
  • Machine Learning in Supply Chain Management
  • Deep learning in management of Supply Chain
  • Cognitive Management in Supply Chain
  • Predictive Management in Supply Chain
  • Proactive Management in Supply Chain
  • Blockchain Technology in connection with Supply Chain Management
  • 3D printing in Smart manufacturing
  • Digitalization Supply Chain Management
  • Data analytics and Data science in Supply Chain Management
  • Cloud data analytics in Supply Chain Management
  • Web analytics in Supply Chain Management
  • Semantic Web in Supply Chain Management
  • Big data analytics and Strategic management,
  • Operational management and big data analytics
  • Business intelligence in the era of big data
  • Forecasting in Supply Chain Management
  • Blockchain and Smart Contracts
  • Artificial Intelligence and Blockchain in Supply Chain Management
  • Industry 4.0, Warehouse 4.0, Smart Factory, Future Factory, Smart Manufacturing

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 30 September, 2020

Notification to authors: 30 December, 2020

Final versions due by: 30 March, 2021