Professor Youngseok Thomas Choi

Contact

Email: y.choi@kingston.ac.uk
Location: Kingston Hill
Faculty: Faculty of Business and Social Sciences
School: Kingston Business School
Department: Department of Strategy, Marketing and Innovation

About

I am a Professor of Marketing and Data Analytics at Kingston Business School. Previously he was an Associate Professor/Reader at the University of Southampton and had held Senior lectureship at Brunel University London, lectureship at Loughborough University and Coventry University. Also, I was working as a research fellow funded by several EU projects (PolicyCompass, FP7, etc).

My research interests cover various digital data analytics topics based on advanced machine learning approaches that can derive hidden value from different data types. My research topics include:

Computational behavioural science (behavioural sequencing).
Marketing analytics and Data Visualisation with storytelling
Data-driven Decision Making
Energy data analytics (green IT).
The philosophy of Artificial Intelligence within business contexts.

My work has been published in leading journals such as the Journal of the Association for Information Systems, Annals of Tourism Research, Computers and Operation Systems, Annals of Operation Research, Government Information Quarterly, and others. I also actively collaborate with Martech company dealing with consumer data and digital footprints.

Academic responsibilities

Professor of Marketing and Data Analytics

Qualifications

PhD in Management Information Systems, Seoul National University, Republic of Korea
BEng in Electrical Engineering and Computer Science, Seoul National University, Republic of Korea
BEng in Technology Management, Seoul National University, Republic of Korea

Teaching and learning

I have extensive experience teaching various undergraduate, postgraduate and doctoral-level marketing, information system, and operation research course. The main teaching areas cover marketing analytics, data visualisation, digital marketing, the application of AI for business, marketing technology, and so on.

Research

My research interests lie in computational behavioural science in the business context. My works try to find the meaning of human behaviour and theorise it through the computational model of human behaviour from different types of digital footprints. My data analytics expertise makes my research more interdisciplinary across the different domains so I can cover various research topics such as data-driven decision-making, eGovernment, consumer behavioural, etc.

Areas of specialism

Digital Data Analytics
AI Application for Marketing
Computational Behavioural Science
Marketing Technologies

Scholarly affiliations

Association for Information Systems

Publications

Jump to:

Number of items: 12.

Article

Zhang, Zhewei, Lee, Habin, Yoo, Youngjin and Choi, Youngseok Thomas (2022) Theorizing routines with computational sequence analysis : a critical realism framework. Journal of the Association for Information Systems, 22(2), pp. 589-630. ISSN (online) 1536-9323

Jang, Seongsoo, Park, Jin Suk and Choi, Youngseok Thomas (2022) Organizational resource and resilience in tourism. Annals of Tourism Research, 93, p. 103322. ISSN (print) 0160-7383

Lee, Habin, Choi, Youngseok, Van Nguyen, Truong, Hai, Yang, Kim, Junchul, Bahja, Mohammed and Hocaoğlu, Hakan (2020) COVID19 led virtualization : green data center for information systems research. Information Systems Management, 37(4), pp. 272-276. ISSN (print) 1058-0530

Choi, Youngseok, Lee, Habin and Irani, Zahir (2018) Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector. Annals of Operations Research, 270(1-2), pp. 75-104. ISSN (print) 0254-5330

Lee, Habin, Aydin, Nursen, Choi, Youngseok, Lekhavat, Saowanit and Irani, Zahir (2018) A decision support system for vessel speed decision in maritime logistics using weather archive big data. Computers & Operations Research, 98, pp. 330-342. ISSN (print) 0305-0548

Lee, Kyuhan, Park, Jinsoo, Kim, Iljoo and Choi, Youngseok (2018) Predicting movie success with machine learning techniques : ways to improve accuracy. Information Systems Frontiers, 20(3), pp. 577-588. ISSN (print) 1387-3326

Lee, Habin, Tsohou, Aggeliki and Choi, Youngseok (2017) Embedding persuasive features into policy issues : implications to designing public participation processes. Government Information Quarterly, 34(4), pp. 591-600. ISSN (print) 0740-624X

Choi, Youngseok and Lee, Habin (2017) Data properties and the performance of sentiment classification for electronic commerce applications. Information Systems Frontiers, 19(5), pp. 993-1012. ISSN (print) 1387-3326

Choi, Youngseok, Oh, Jungsuk and Park, Jinsoo (2016) A novel approach to managing the dynamic nature of semantic relatedness. Journal of Database Management, 27(2), pp. 1-26. ISSN (print) 1063-8016

Sivarajah, U., Weerakkody, V., Waller, P., Lee, H., Irani, Z., Choi, Youngseok, Morgan, R. and Glikman, Y. (2016) The role of e-participation and open data in evidence-based policy decision making in local government. Journal of Organizational Computing and Electronic Commerce, 26(1-2), pp. 64-79. ISSN (print) 1091-9392

Choi, Youngseok and Park, Jinsoo (2013) The need for paradigm shift in semantic similarity and semantic relatedness : from cognitive semantics perspective. Journal of Intelligence and Information Systems, 19(1), pp. 111-123. ISSN (print) 2288-4866

Baek, Hyunmi, Ahn, JoongHo and Choi, Youngseok (2012) Helpfulness of online consumer reviews : readers' objectives and review cues. International Journal of Electronic Commerce, 17(2), pp. 99-126. ISSN (print) 1086-4415

This list was generated on Wed Nov 20 07:02:06 2024 GMT.

Business, knowledge transfer and international

I actively collaborate with many industry partners from marketing technology, data platform, and other sectors. Still open for further collaboration.

Areas of interest

data analytics
marketing technologies
consumer data analytics

Professional practice, knowledge exchange and impact

I have been involving different type of research project with industry partners through the EU funded projects.