Understanding supply chain disruption risk with the aid of social networks and information flows analysis

  • Amrik Singh

Student thesis: Doctoral ThesisDoctor of Philosophy

Abstract

Supply Chain Risk Management (SCRM) has become a popular area of research and study in recent years. This can be highlighted by the number of peer reviewed
articles that have appeared in academic literature. This coupled with the realisation by companies that SCRM strategies are required to mitigate the risks that they face,
makes for challenging research questions in the field of risk management. The challenge that companies face today is not only to identify the types of risks that they
face, but also to assess the indicators of risk that face them. This will allow them to mitigate that risk before any disruption to the supply chain occurs. The use of social network theory can aid in the identification of disruption risk. This thesis proposes the
combination of social networks, behavioural risk indicators and information management, to uniquely identify disruption risk.
The propositions that were developed from the literature review and exploratory case
study in the aerospace OEM, in this thesis are:- By improving information flows, through the use of social networks, we can identify supply chain disruption risk. - The management of information to identify supply chain disruption risk can be explored using push and pull concepts. The propositions were further explored through four focus group sessions, two within
the OEM and two within an academic setting. The literature review conducted by the researcher did not find any studies that have evaluated supply chain disruption risk management in terms of social network analysis or information management studies. The evaluation of SCRM using these
methods is thought to be a unique way of understanding the issues in SCRM that practitioners face today in the aerospace industry.
Date of Award3 Oct 2013
LanguageEnglish
Awarding Institution
  • Aston University
SupervisorNaomi J Brookes (Supervisor) & Pavel Albores (Supervisor)

Keywords

  • supply chain risk management
  • social networks
  • push/pull information management
  • serospace supply chain

Cite this

Understanding supply chain disruption risk with the aid of social networks and information flows analysis
Singh, A. (Author). 3 Oct 2013

Student thesis: Doctoral ThesisDoctor of Philosophy