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Data analysis for digital entrepreneurship and well-being of entrepreneurs (Advert Ref: SF22/EE/CIS/ANWAR)


   Faculty of Engineering and Environment

  Dr MN Anwar  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

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.

Suggested Methodology

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

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 

https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/  

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 

Northumbria University takes pride in, and values, the quality and diversity of our staff and students. We welcome applications from all members of the community.


Funding Notes

Please note this is a self-funded project and does not include tuition fees or stipend.

References

• F. K. F. Kunju, N. Naveed, M. N. Anwar and & MIU Haq, “Production and Maintenance in Industries: Impact of Industry 4.0”. Industrial Robot, Emerald Insight. https://doi.org/10.1108/IR-09-2021-0211 (accepted)
• S. A. Khatib, N. Naveed, and M. N. Anwar, “The Study of Diverse Personalities that Hinder Harmony across Engineering Team”. Open Access Journal of Biogeneric Science and Research, Vol. 5, No. 1, pp. 1-11, 2020. ISSN 2692-1081
• K. Kirby and M. N. Anwar, “An application of activity theory to the “problem of e-books””. Heliyon, Vol. 6, No. 9, e04982, 2020.
• E. M. Daniel, A. Henley and M. N. Anwar, “Contemporary Ethnic Minority Entrepreneurship in the UK: A Quantitative Exploration of Break Out and Entrepreneurial Quality”. International Journal of Entrepreneurial Behavior & Research, Vol. 19, No. 3, pp. 310-338, 2019.
• A. Abusukhon, M. N. Anwar, Z. Mohammad, and B. Alghannam, “A hybrid network security algorithm based on Diffie Hellman and Text-to-Image Encryption algorithm”. Journal of Discrete Mathematical Sciences and Cryptography, Vol. 22, No. 1, pp. 65-81, 2019.
• M. N. Anwar and E. M. Daniel, “Ethnic Entrepreneurs and Online Home-based Businesses: An Exploratory Study”, Journal of Global Entrepreneurship Research, SpringerOpen, 7:6, 2017.
• M. N. Anwar and E. M. Daniel, “The Role of Entrepreneur-Venture Fit in Online Home-based Entrepreneurship: A Systematic Literature Review”, Journal of Enterprising Culture, World Scientific, Vol. 24, No. 4, pp. 419-451, 2016.
• M. N. Anwar and E. M. Daniel, “Entrepreneurial Marketing in Online Businesses: The Case of
Ethnic Minority Entrepreneurs in the UK”, Qualitative Market Research: An International Journal, Emerald, Vol. 19, No. 3, pp. 310-338, 2016.

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