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The dynamics of a co-working market - investigating the dynamics of the coworking space as an alternative real estate investment and the urban effects of such working space.

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  • Full or part time
    Miss N Lui
    Prof N E Hutchison
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

The growth of the post-industrial knowledge-based economy is changing how people work and live in modern cities, and emerging from the new urban forms, coworking spaces have become a fast growing feature. Analysis of coworking spaces has so far focused on agglomeration economies (such as knowledge spill-over) and the social benefits of flexible working space, and there is scope for further research in the dynamics of the coworking space as an alternative real estate investment and the urban effects of such working space.

We are seeking to supervise a PhD who are interested in topic with the aims of:

i) Developing an economic model of coworking places;
ii) Assessing performance and riskiness of coworking spaces;
iii) Investigating the pricing and valuation of coworking spaces; and
iv) Evaluating the impact of coworking spaces on urban economies.

Applicants should include a research outline on the area described above. This should include draft research questions, a brief synopsis of the relevant literature, possible sources of data and research methodology (ies) to be adopted and anticipated timeline for the project.

Funding Notes

Applicants interested in this research project should submit a more detailed research proposal (of a maximum of 2000 words)

This project is funded by a University of Aberdeen Elphinstone Scholarship. An Elphinstone Scholarship covers the cost of tuition fees, whether Home, EU or Overseas. Selection will be made on academic merit.

Related Subjects

How good is research at Aberdeen University in Business and Management Studies?

FTE Category A staff submitted: 13.30

Research output data provided by the Research Excellence Framework (REF)

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