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Dr Changwon Park

"Lecturer in Marketing, Enterprise & Tourism"

Changwon Park

  • School Faculty of Business and Law

  • Department Marketing, Enterprise & Tourism

  • Location London

Research activities

Dr Park’s research investigates digital marketing analytics, consumer and visitor behaviour, and the use of AI and machine learning in marketing contexts. His work focuses on understanding how individuals and crowds behave in complex environments, particularly through the analysis of digital trace data, visitor pathways, engagement duration, and crowding effects.

He is currently developing a portfolio of studies targeting ABS-ranked journals, including research on AI-driven creativity, cross-level crowding dynamics, and predictive modelling of visitor movements using sequence analysis and deep learning techniques such as LSTM. His research combines advanced quantitative modelling with behavioural theory to generate theoretical contributions and practical insights for marketing strategy.

Dr Park has published in international peer-reviewed journals and serves as an Editorial Board Member of the International Journal of Trade Fairs and Exhibition Studies. His research has received competitive funding and early-career academic awards, and he is actively involved in international and interdisciplinary research collaborations.


Current Teaching

MKT4466 Customer Experience Strategy and UX Design (Module Leader)

MKT4646 Business Digital Environment (Module Leader)

MKT4433 Omnichannel Marketing Strategy (Seminar Tutor)


Biography

Dr Changwon Park is a Lecturer at Middlesex University London, specialising in digital marketing, data analytics, and consumer behaviour. His interdisciplinary academic background spans business analytics, hospitality and tourism, political science, and law, providing a distinctive foundation for research and teaching at the intersection of marketing, technology, and data-driven decision-making.

He completed his first PhD in Hospitality and Tourism at Kyung Hee University in South Korea, where his doctoral research examined exhibitions, trade shows, and industry-level transformation. He is currently pursuing a second PhD in Business Analytics and Marketing at Brunel University London.

His work explores how digital technologies, behavioural data, and analytical methods can be used to better understand consumer behaviour and support more effective marketing strategy and managerial decision-making.

Research interests

- Digital Marketing and Marketing Analytics

- Digital Trace Data and Behavioural Analytics

- AI and Machine Learning in Marketing

- Computational Behavioural Science

- AI in Business: Innovation, Creativity, and Labour Market Transformation

- Data Visualisation and Data-Driven Decision-Making

- Philosophy of AI in Business

- Qualitative and Quantitative Research Methods

Qualifications

Title: PhD Candidate in Business Analytics and Marketing

Institution: Brunel University London, UK


Title: PhD in Hospitality and Tourism Management

Institution: Kyung Hee University, South Korea


Title: MA in Political Science

Institution: Yonsei University, South Korea


Title: BA in Law

Institution: Sungkyunkwan University, South Korea


Title: Higher Education Teaching and Learning (HETL)

Institution: Brunel University London


Title: Certified in Exhibition Management (CEM)

Institution: International Association of Exhibitions and Events (IAEE), USA


Prizes and Awards

  • Early-Career Researcher Award, The Tourism Sciences Society of Korea (TOSOK),

    • Publications

    View publications