Managing Ethical Supply Chain Risks Using Traditional Collaborative Approaches

Glasgow Caledonian University/ The Glasgow School for Business and Society https://www.gcu.ac.uk/gsbs/

Project Reference Number: GSBS/2022/001

Supervisory Team:

Director of Studies: Name: Dr. Niladri Palit

Email: [Email Address Removed]

GCU Research Online URL: (essential) http://researchonline.gcu.ac.uk/portal/en/persons/niladri-palit(cd19c440-ee8e-48fe-a3d6-35b7b538dba9).html

Second Supervsior: Name: Dr. Andrea Gyarmathy

Email: [Email Address Removed]

GCU Research Online URL: (essential): https://researchonline.gcu.ac.uk/en/persons/andrea-gyarmathy

Third Supervisor: Name: Dr. Karen Fryer

Email: [Email Address Removed]

GCU Research Online URL: (essential) http://researchonline.gcu.ac.uk/portal/en/persons/karen-fryer(9f37d406-297b-48e2-853d-ae3f2ac0965d).html

Background

The nature of the risks present in the supply chain is dynamic. One of the modern-day concerns of the supply chains is to manage the ethical risks including sensitive issues such as child labour exploitation, modern-day slavery, and human trafficking. The use of modern-day technologies such as blockchains, IoT etc and implementing good governance are a few of the strategies that are often referred to as some of the solutions approaches. However, despite these efforts, the ethical risks emerge in different forms at different points in time. Moreover, with the advent of the new GDPR, restrictions are applied to data availability/sharing. This has the potential to impede the management of the ethical risks in the supply chain under consideration. Thus, the present research would be investigating if the traditional supply chain strategies such as having a collaborative relationship would be required to overcome the barriers and facilitate the advantages of the previously mentioned strategies to gain more insight into those risk areas and implement the proactive mitigating strategies.

The proposed methodology is expected to be a mixed-method approach with a qualitative exploration of the problem in the first phase followed by more scientific model development. The skillset required includes the ability to conduct qualitative interviews and the ability to apply quantitative techniques (such as analytical modelling, heuristics etc depending on the scope of the study to be defined at a later stage of the project). Although the methodological choice has been suggested, the actual selection could be clearly defined at a later stage of the research depending on the nature of the research question. The supervisory team would be interested to have a more detailed proposal with a clearly defined scope and with the details of the corresponding methodological choice.

How to Apply 

This project is available as a 3 years full-time PhD study programme with expected start date of 1 October 2022 

Applicants should possess an honours degree (2:1 or above) and/or Masters degree in a related area of study, demonstrating sufficient evidence of academic/research ability in their chosen research area. 

Candidates are encouraged to contact the research supervisors for the project before applying. 

Candidates are required to submit a detailed proposal (of a maximum 2000 words) 

Applicants should apply for their preferred intake date using the Business and Management links via the Application Process page.   

The closing date for applications is Monday the 21st February 2022.

Applicants shortlisted for the PhD project will be contacted for an interview within four weeks from the closing date.  

Please send any other enquires regarding your application to: [Email Address Removed]