University of Edinburgh Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
Life Science Zurich Graduate School Featured PhD Programmes

Big Data Modelling the Knowledge Economy


Faculty of Science, Engineering and Computing

About the Project

Life would be much easier if organisations had a 3D map of the business landscape showing owners and entrepreneurs where best to go, how much they could benefit when they get there, as well as how much it would cost them along the way. Just as astronomers find out about our Universe by looking at lots of stars, and in different wavelengths, we are looking at lots of organisations and using metrics that are different to the ones that are normally visible. To do this we need to have a lot of information, this is called a "Big Data" approach. Unfortunately the metrics that are available in the UK, such as company annual returns, don’t tell us a lot. Indeed our previous research indicates that some important factors can be quite basic, e.g. the number of employees each year within an organisation, and these figures are simply not collected centrally in the UK. Thus we have teamed up with several international partners to obtain Big Data. Feeding this information into the computer model that we have developed in the UK, we can produce not only a user-friendly and very practical 3D map of the "Business Universe", but also academically to reveal hidden insights into how humans cluster in organisations and indeed how clusters cluster. This approach is very relevant not only to consultants, owners, entrepreneurs and academics, but also to everyone who has a job. The proposed research involves:

(1) How do economic laws determine the development and shape of organisations?
(2) When organisations cluster in e.g. tech hubs or science parks, what is the best shape for them to organise their structure into, and
(3) Create a computer model for business clusters feasibility; what metric(s) can be used to stipulate the distance between clusters and how do age, size and stage in the maturity cycle affect this distance?

Funding Notes

No funding is available - only self-funded applications can be considered

References

Further reading:
Mellor, R. B. (2015) Modelling the value of external networks for knowledge realisation, innovation, organisational development and efficiency. International Journal of KnowledgeBased Development, 6, 3­14.
Mellor, R. B. (2014) The use of knowledge assets: Modelling the potential effect of adding innovators to low­innovation and high­innovation SMEs. International Journal of Knowledge­Based Development, 5, 367­380.
Mellor, R. B. (2014) Knowledge valley theory. International Journal of Knowledge­Based Development, 5, 5­16.
Mellor, R. B. (2011) Knowledge management and information systems: Strategy for growing organizations. Basingstoke, Palgrave.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to Kingston University will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2020
All rights reserved.