This age of big data gives a great opportunity to turn large-size datasets with high-velocity and diverse structures into real advantage in many fields, such as health, economics, education and disaster prevention. This research proposal focuses on in-depth analysis of ‘publicly available large datasets’. Digital entrepreneurship is a broad domain and includes businesses predominantly operating online. The data analysis will be performed to explore one of the following aspects of digital entrepreneurship such as online retailers, portals, community sites and also businesses providing services to enable other businesses to operate online, such as web designers, platform providers and operators. This research will also to explore the well-being of these entrepreneurs.
Potential Areas of Study
We are particularly interested in research in the following areas:
The quantitative exploration of online entrepreneurship in publicly available large datasets, for example GEM (Global Entrepreneurship Monitor), longitudinal household survey - Understanding Society and UK census data.
Digital entrepreneurship with an explicit link to the developing world. This could either focus on digital entrepreneurship in developing countries or migrants from developing countries operating in their destination/host country.
The use of digital technologies and entrepreneurship by craft /artisanal businesses, for example, potters, jewellers, small scale food and drink producers. The research could explore how they combine the contrasting logics of craft and modern technology.
The final methodology will reflect the detailed research topic, research question and strengths of the student, but it is envisaged that this research will make use of both quantitative and qualitative approach. The main focus will be on quantitative research approach for processing large dataset such as longitudinal household survey - Understanding Society. The qualitative research approach will also be used based on case studies or in-depth interviews with practising entrepreneurs to support the quantitative work.
This project seeks candidates having interest, background and skills in big data/data science and entrepreneurship.
For informal enquiries please contact [Email Address Removed]
Eligibility and How to Apply:
Please note eligibility requirement:
· Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
· Appropriate IELTS score, if required.
For further details of how to apply, entry requirements and the application form, see
Please note: Applications that do not include a research proposal of approximately 1,000 words (not a copy of the advert), or that do not include the advert reference (e.g. SF22/…) will not be considered.
Start Date: 1 October 2022
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