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


Special issue call for papers from Industrial Management & Data Systems

IMDS 2015 Impact Factor: 1.278

Guest Editors

Dr Ying Kei (Mike) Tse
The York Management School, The University of York , UK
mike.tse@york.ac.uk

Dr Sai Ho (Nick) Chung
The Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
nick.sh.chung@polyu.edu.hk

Prof Kulwant Pawar
Nottingham University Business School, The University of Nottingham, UK
Kulwant.Pawar@nottingham.ac.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

Submissions:

Please read the publication style guidelines before submitting your paper, these can be found here. Please submit your article using IMDS’s ScholarOne portal and select “Risk perception & decision making in supply chain: Theory and Practice” when it prompts to indicate the “Article Type” in the submission.

For further enquiries, please contact the managerial guest editor Dr. Mike Tse at mike.tse@york.ac.uk. Authors should contactmanuscriptcentral@emeraldinsight.com if they require any assistance. They must quote the journal name and special issue title with their enquiry.

More information about the subject of the special issue:

Over this decade, risk management has evolved from its use in production and operation management to more complex decision-making processes due to rich new data sources. For example, the analytics of Big Data (e.g. sensor data, transactional data) and Social Data (e.g. unstructured social media data, geo-tagging data).

With these changes in the business context and the rapid development of new information sources, the nature of risk analytics is continuing to evolve and there is a need to develop a new theoretical base for the emerging supply chain risk management practices in order to build-up a solid theoretical foundation and to re-investigate various overlooked insights in this developing field.


Three recent trends make this special issue important now:

  • Availability of new data sources – big data is characterised by volume, velocity and variety impacts on the new approach in analysing data and in the exploration of hidden risk.
  • New risks and uncertainties are inherent in supply networks, such as fraud/counterfeit risk, environmental risk, and terrorism threats.
  • Apart from traditional theories, such as Agency Theory, Resource-based View, Transaction Cost Economics, and Social Exchange Theory, new theories have been developed in this decade in the applied psychology area and in the strategic management area (such as Regulatory Focus Theory, Resource Orchestration theory, and Natural Resource-based View). It is important to examine the effects of contextual factors on risk management practices and performance through the lens of emerging theories to maintain the relevance of academic contributions to this developing field.