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Northumbria University, Faculty of Business and Law PhD Projects, Programs & Scholarships

We have 25 Northumbria University, Faculty of Business and Law PhD Projects, Programs & Scholarships

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  A multidisciplinary approach to stimulating Strategic Entrepreneurial Leadership for sustainable developmental innovation ecosystems in a post Brexit era (Advert Reference: SF19/BL/EIS/RUSK)
  Dr M Rusk
Applications accepted all year round

Funding Type

PhD Type

Contemporary change and the ensuing organisational redesign are fundamental to sustainability, relevance and even survival in terms of regional development.
  Artificial Intelligence Solutions for Home Healthcare Planning (Advert Reference: SF19/BL/MOS/QU2)
  Dr Y Qu, Prof X Bian
Applications accepted all year round

Funding Type

PhD Type

As populations age in developed countries such as the UK, so the demand increases on already overstretched healthcare services. One way that hospitals are reducing this pressure is by providing healthcare at patients’ homes.
  Branding destination image: Sustaining the UK’s competitive advantage as the ultimate international education destination (Advert Reference: SF19/BL/MOS/SHAMS)
  Dr R Shams, Mr N Coates
Applications accepted all year round

Funding Type

PhD Type

The USA is the most popular international education destination (IED)1. In 2018, Australia surpassed the UK and came second2. The UK experienced the lowest growth in recent years among the top nine most popular IEDs3.
  Business Analytics in the Internet of things (IoT) (Advert Reference: SF19/BL/MOS/QU3)
  Dr Y Qu, Prof C Cui
Applications accepted all year round

Funding Type

PhD Type

The proliferation of the Internet of things (IoT) has introduced new challenges of data efficiency, security and dynamic interface and communication for business users.
  Collaborative Leadership in Regional Governance Systems: Achieving Health and Social Care Outcomes (Advert Reference: SF19/BL/LHRM/ELLIOTT)
  Dr I Elliott
Applications accepted all year round

Funding Type

PhD Type

Across the North-East and North Cumbria region greater focus is being placed on integration across public services – particularly health and social care.
  Constructing Creative Industry Eco-Systems: Building Communities of Practice (Advert Reference: SF19/BL/MOS/WILSON)
  Dr S Wilson, Prof D Charles, Dr R Prescott
Applications accepted all year round

Funding Type

PhD Type

The creative industries employ over 3 million people in the UK and are recognised as essential to tourism development and urban regeneration in post-industrial cities, through contributions to the arts, heritage and cultural sector to local economic vitality and a sense of place in both cultural and economic terms.
  Courting Environmental Justice: Exploring the Adjudicatory Dimensions in a Globalised World (Advert Reference: SF19/BL/LAW/GILL)
  Prof G Gill
Applications accepted all year round

Funding Type

PhD Type

Access to justice rights, a strong procedural dimension, in environmental justice discourse requires fair, open, informed and inclusive state institutional processes.
  Cui bono?: Exploring the exchanges between universities, students and external partners (Advert Reference: SF19/BL/LAW/HALL)
  Prof E Hall
Applications accepted all year round

Funding Type

PhD Type

Clinical and experiential modules in Higher Education are designed to meet the complex needs of students - who need to absorb complex knowledge, disciplinary skills and graduate attributes - and employers – who need students fluent in the current lingua franca of the profession as well as equipped with both transferrable skills and flexibility to meet the pace of change.
  Digital Innovation Constellations as Strategic Entrepreneurship : building regional innovation networks through social influence (Advert Reference: SF19/BL/EIS/PEARCE)
  Dr A Pearce
Applications accepted all year round

Funding Type

PhD Type

The rapid adoption and normalisation of new digital technologies has significantly affected the ways in which we live and work in the 21st century.
  Employee Engagement and Workplace Learning emerging from Matrix Structures in Digital Manufacturing Organisations (Advert Reference: SF19/BL/LHRM/ROCA)
  Dr T Roca, Dr D Bennett
Applications accepted all year round

Funding Type

PhD Type

International organisations are increasingly seeing changes to traditional operational procedures through innovative Digital Technology, due to continual developments in information technology and communication (Roca and Bennett, 2018).
  Expatriate leadership in the era of digitalization (Advert Reference: SF19/BL/LHRM/BADER)
  Dr K Bader
Applications accepted all year round

Funding Type

PhD Type

Digitalization is one of today’s ‘Grand Challenges’. It broadly refers to the integration of technology into all areas of our lives.
  Expert Witness Testimony – Evidence & Proof (Advert Reference: SF19/BL/LAW/KOTSOGLOU)
  Dr K Kotsoglou
Applications accepted all year round

Funding Type

PhD Type

This project will explore evidence-based proof and decision-making processes in law, especially the criminal justice system. Epistemological inquiries into the inferential structure and status of forensic fact-finding continue to be a hotly debated topic, with real world applications.
  Hate Propaganda in International Criminal Law: Current Socio-Legal and Evidentiary Challenges in Prosecuting Atrocity Speech at International Criminal Tribunals (Advert Reference: SF19/BL/LAW/BADAR)
  Prof M Badar
Applications accepted all year round

Funding Type

PhD Type

The aim of this research project is to provide a forum for a rigorous analysis and exploration of the necessity for an improved approach to dealing with the phenomenon of hate and fear propaganda at international criminal courts.
  Household Financial Forecasting and Planning: Biases and Support Tools (Advert Reference: SF19/BL/MOS/GONUL)
  Dr S Gonul, Prof D Onkal, Prof M Thomson
Applications accepted all year round

Funding Type

PhD Type

Arguments about money are a major cause of conflict in many households.
  Identifying information leaders and modelling information transmission in global financial markets: A machine learning approach (Advert Reference: SF19/BL/AFM/SZCZYGIELSKI)
  Dr K Szczygielski, Prof J Brzeszczyński
Applications accepted all year round

Funding Type

PhD Type

Machine learning (ML) offers a novel approach to the identification and selection of predictors in regression models. ML permits the consideration of large numbers of potential variables and the identification of a relevant and statistically workable feature set.
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