Professor Youngseok Thomas Choi

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Youngseok Thomas Choi
About
Teaching and learning
Research
Business, knowledge transfer and international
Professional practice, knowledge exchange and impact
Leadership and management

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: Article | Book Section | Conference or Workshop Item
Number of items: 20.

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

Moon, Jung Oh, Lee, Habin, Kim, Jong Woo, Aktas, Emel, Tsohou, Aggeliki and Choi, Youngseok (2015) Customer satisfaction from open source software services in the presence of commercially licensed software. Asia Pacific Journal of Information Systems, 25(3), pp. 473-499. ISSN (print) 2288-5404

Park, Jinsoo and Choi, Youngseok (2014) Economic recession and Hyundai heavy industries : strategies to cope with the risk factors of heavy industry. Korea Business Review, 18(4), pp. 81-104.

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

Book Section

Choi, Youngseok, Oh, Jungsuk and Park, Jinsoo (2020) A novel approach to managing the dynamic nature of semantic relatedness. In: Information Resources Management Association, ., (ed.) Natural language processing : Concepts, methodologies, tools and applications. IGI Global. pp. 1085-1114. ISBN 9781799809517

Conference or Workshop Item

Suh, Changwoo, Lee, Byungtae, Lee, Habin, Choi, Youngseok and Ryu, Sunghan (2020) What to be disclosed? Attributes of online games for the market transparency policy. In: 12th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2020; 31 Aug - 02 Sep 2020, Linköping, Sweden (Held online). (Lecture Notes in Computer Science)

Suh, Changwoo, Bahja, Mohammed, Choi, Youngseok, Nguyen, Truong and Lee, Habin (2019) Optimising e-government data centre operations to minimise energy consumption : a simulation-based analytical approach. In: 18th IFIP WG 8.5 International Conference, EGOV 2019; 02-04 Sep 2019, San Benedetto Del Tronto, Italy.

Zhang, Zhewei, Choi, Youngseok, Lee, Habin and Yoo, Youngjin (2016) The organizing of online community : fluid and structuring organizing. In: International Conference on Information Systems (ICIS 2016); 11-14 Dec 2016, Dublin, Ireland.

Löhe, M.G., Glikman, Y., Gordon, T.F., Lee, H. and Choi, Youngseok (2015) Navigation in politics – fuzzy cognitive map and argumentation approach for policy modelling and analytics. In: European, Mediterranean and Middle Eastern Conference on Information Systems (EMCIS 2015); 01-02 Jun 2015, Athens, Greece.

Choi, Youngseok (2013) DYMS (dynamic matcher selector) - scenario-based schema matcher selector. In: Pacific Asia Conference on Information Systems (PACIS) 2013; 18-22 Jun 2013, Jeju Island, Korea.

This list was generated on Sat Dec 21 03:44:23 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. 

Leadership and management

.