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The impact of big data analytics on operations/supply chain resilience: Implications for competitive advantage


   Faculty of Engineering and Technology

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  Dr George Onofrei  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This is a Masters by Research project.

Supervisors: Dr. George Onofrei, Chris Roulston and Prof. Graham Heaslip

Project Summary:

Facing the unprecedented challenges, extensive competition, and rapidly changing customer requirements, big data analytics (BDA), is increasingly seen as an imperative for firms to improve supply chain (SC) and operations decisions, enhance their capabilities. Many firms appear to still be in the stage of learning about the value of using big data analytics and how to make a compelling business case for necessary investments. Although the expectation of big data analytics adoption to enhance performance is rather high, a recent report found that only 17% of firms have implemented big data analytics in one or more supply chain functions. Despite the variety of supply chain management (SCM) research, little attention has been given to the use of Big Data Analytics for increased information exploitation in a supply chain. Moreover, little academic attention has been given to big data analytics in the SC management literature; thus, empirical research on this topic is still scarce. Several studies argue that although big data analytics has been in use to understand customer intentions/ behaviours, the use of analytics for supply chain operational decisions is less understood. Therefore, the purpose of this study is to investigate how the use of BDA tools at supply chain/operational level in companies across the island of Ireland impacts SC resilience, in order to gain competitive advantage.

Candidate Qualifications/Requirements:

The minimum requirement for recruitment is a Level 8, Degree in Mechanical or Electronic/Electrical Engineering or Business or equivalent (minimum H2.1). Applicants will be called for interview, please note that shortlisting may apply.

Application Process

  1. To apply for this Masters by Research project, please send your CV and cover letter to the [Email Address Removed] by 5:00pm, Thursday 9th June. Please include "MR.5" in the subject of the email.
  2. Candidates should hold or expect to hold at least an Honours Degree in a relevant discipline and meet the University’s English Language requirements (minimum IELTS Level 6.5 or equivalent)
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