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Big Data capabilities of manufacturers in addressing low carbon future


   Teesside University International Business School

This project is no longer listed on FindAPhD.com and may not be available.

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  Dr S Joneidy  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Manufacturers all over the world are coming to realise the adverse impact of their day-to-day operations on climate change. As their long-term prosperity depends on this change, manufacturers should address environmental concerns equally with the economic and social needs of today and the future. In parallel, scholars have discussed the promising impact of Big Data in the field of supply chain and operation and have conducted investigations on the role of Big Data Analytics in transforming manufacturers’ supply chains. However, to achieve sustainability and deal with the repercussions of climate change, there is significantly less research on how manufacturers develop their Big Data capabilities over time, what are the factors that constrain or inhibit this process, and what are the driving forces or pressures that motivate them to initiate Big Data analytics projects in moving to a low-carbon future. As such, the overall goal of this research project is to investigate how the contrasting pressures, enablers and constraints interact to initiate adoption and gradual maturation of Big Data and Business Analytics towards meeting the UK government’s low carbon future agenda.

Entry Requirements

Applicants should hold or expect to obtain a good honours degree (2:1 or above) in a relevant discipline. A masters level qualification in a relevant discipline is desirable, but not essential, as well as a demonstrable understanding of the research area. Further details of the expected background may appear in the specific project details. International students will be subject to the standard entry criteria relating to English language ability, ATAS clearance and, when relevant, UK visa requirements and procedures.

How to Apply

Applicants should apply online for this opportunity at: https://e-vision.tees.ac.uk/si_prod/userdocs/web/apply.html?CourseID=1191

Please use the Online Application (Funded PHD) application form. When asked to specify funding select “other” and enter ‘RDS’ and the title of the PhD project that you are applying for. You should ensure that you clearly indicate that you are applying for a Funded Studentship and the title of the topic or project on the proposal that you will need to upload when applying. If you would like to apply for more than one project, you will need to complete a further application form and specify the relevant title for each application to a topic or project.

Applications for studentships that do not clearly indicate that the application is for a Funded Studentship and state the title of the project applied for on the proposal may mean that your application may not be considered for the appropriate funding.

For academic enquiries, please contact Dr Sina Joneidy – Email: [Email Address Removed]  

For administrative enquiries before or when making your application, contact [Email Address Removed]


Funding Notes

The Fees-Paid PhD studentship will cover all tuition fees for the period of a full-time PhD Registration of up to four years. Successful applicants who are eligible will be able to access the UK Doctoral Loan scheme https://www.gov.uk/doctoral-loan to support with living costs. Applicants who are employed and their employer is interested in funding a PhD, can apply for a Collaborative Studentship
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