Calls for papers


International Journal of Integrated Supply Management
International Journal of Integrated Supply Management


Special Issue on: "Intelligent Information and Product Technologies for Supply Chain Integration"

Guest Editors:
Prof. Dr. habil. Dmitry Ivanov, Berlin School of Economics and Law, Germany
Prof. Dr. habil. Alexandre Dolgui, Ecole Nationale Supérieure des Mines de Saint-Etienne, France

During the last decade, new information and product technologies for supply chain integration have been developed. Details of managerial and technical implementation across the works on these technologies differ, but most of them share attributes of intelligence. Examples include data mining, cloud computing, physical internet, pattern recognition, knowledge discovery, early warning systems, product intelligence, to name but a few.

As supply chain integration depends on the information and product technology, in the coming years these new tools will change the landscape of managerial concepts and decisionsupport systems for SCM. Associating (and even embedding) information technology and product intelligence into supply network planning and organisational structures has been discussed for over ten years now. What are benefits and obstacles in allowing orders, deliveries and products to be able to plan and control their own progress through a supply chain?

It can be observed that current concepts and systems for supply chain integration do not provide adequate decision support from intelligent information and product technologies; we regard this shortcoming as an opportunity for research and development which could significantly improve the practice of supply chain management.

Although technological frameworks have been extensively presented in literature so far, the systematic representation of interaction between information, product and organisational structures is quite limited. Therefore, through this special issue, the guest editors hope to move supply chain integration research forward by placing emphasis on more realistic studies that cover multiple supply chain processes and which address the organisational, product and informational aspects.

Both conceptual and empirical research papers are welcome. However, the conceptual papers should, at a minimum, provide some exploratory analysis or case example(s) for intelligent supply chain integration. In general, more emphasis will be given to the papers describing results at the interface of information and product, product and organisation, and information and organisation intelligence.

The issue seeks to present the notions of joint usage of information, product and organisation intelligence and examine the rationales for these models and the practicality of their implementation.

Subject Coverage
Topics to be covered include, but are not limited to:
  • Data mining and supply chain integration
  • Cloud computing and supply chain integration
  • Knowledge discovery and ontology in supply chain integration
  • Pattern recognition and supply chain integration
  • Product intelligence in supply chain integration
  • Supply chain integration in cyber-physical networks

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 was not originally copyrighted and if it has been completely re-written).

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.

Important Dates

Submission of full papers: 30 November, 2012 (extended)

Notification about review results: 15 January, 2013

Submission of revised papers: 15 March, 2013

Notification of acceptance: 15 May, 2013