Risk Perception & Decision Making in Supply Chain: Theory and Practice

  in Special Issue   Posted on August 15, 2017

Information for the Special Issue

Submission Deadline: Sat 30 Sep 2017
Journal Impact Factor : 2.205
Journal Name : Industrial Management and Data Systems
Journal Publisher:
Website for the Special Issue: http://www.emeraldgrouppublishing.com/products/journals/call_for_papers.htm?id=6962
Journal & Submission Website: http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=imds

Special Issue Call for Papers:

Guest Editors

Dr Ying Kei (Mike) Tse
The York Management School, The University of York , UK

Dr Sai Ho (Nick) Chung
The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong

Prof Kulwant Pawar
Nottingham University Business School, The University of Nottingham, UK
About the Special Issue:

This special issue focusses on contemporary research related to risk management and decision making in supply chain. Particularly, those papers that pinpoint new theories and contain breakthroughs on solving the risk analytics problem are of considerable interest. Specifically, it addresses the following questions:

What new theories in other fields (e.g. applied psychology) could be pinpointed in the development of risk analytics model and offer strong justification in manager’s decision-making process?

How various management theories provide a useful lens for understanding the development of the best practices in supply chain risk management and its control mechanism

How to integrate new data sources to establish risk management strategy and how to adopt these strategies in various real industrial implementations?

Topics of interests include, but are not limited to, the following issues:

The interaction between risk mitigation strategies and its performance impact
Manager’s risk perception and its influence on decision-making
Risk and resilience in supply chains
Design of effective risk measurement and/or assessment systems
Emerging risk remedy approach in supply chain management
Emerging risk management practices in the food chain
Supply Chain Risk management and governance mechanisms
Data-driven risk identification and monitoring
Big Data-driven risk analytical models
Risk management in port operations and security in logistics and supply chains
Risk management of air transport and express logistics in supply chains
Real industrial cases on supply chain risk management and performance measurement

Important Dates:

Submission deadline: 30 Sep 2017
Papers reviewed: 31 Dec 2017
Revised papers reviewed and accepted: 28 Feb 2018
Final versions of accepted papers delivered: 31 Mar 2018