Wenting Liu

Dr Liu Wenting

Head, Artificial Intelligence for Business Programme

School of Business

Tel: +65 6240 8862

Email: d2VudGluZ2xpdUBzdXNzLmVkdS5zZw==

Educational Qualifications

  • 2014
    PhD, Industrial Systems Engineering and Management, National University of Singapore
  • 2008
    MSc, Information Systems, Beijing University of Aeronautics and Astronautics

Academic and Professional Experience

  • 2017 - 2019
    Director, Revenue Management Solutions, Singapore
  • 2013 - 2017
    Business Analytics Manager, Procter & Gamble, Singapore
  • 2008 - 2012
    Research Scholar, National University of Singapore, Singapore

Journal Papers:

  • Guan Chong, Hung Yu-chen. & Liu Wenting. Cultural differences in hospitality service evaluations: mining insights of user generated content. Electron Markets (2022). https://doi.org/10.1007/s12525-022-00545-z
  • Ding Ding, Guan Chong, Calvin Chan & Liu Wenting (2020) Building Stock Market Resilience Through Digital Transformation: Using Google Trends to Analyze the Impact of COVID-19 Pandemic, Frontiers of Business Research in China, 14(21), 1-21.
  • Guan Chong, Liu Wenting & Cheng, J.YC. (2021) Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital 'Haves' and 'Have-mores', Annals of Data Science.

Books/Book Chapters:

  • Liu Wenting (2021). Digital Payment, in Lee David Kuo Chuen, Ding Ding & Guan Chong. (Eds). Financial Management in the Digital Economy (Singapore University of Social Sciences - World Scientific Future Economy Series). vol. 6, World Scientific Publishing.

Conference Papers:

  • Guan, C., Liu, W., Cheng, J. and Heng, B. (2022). Using A Personality-profiling To Investigate Online Retail Targeting: Mining The Digital Ad Contents, Proceedings of the Colloquium on European Research in Retailing (CERR) 2022, Zagreb, Croatia (ISBN978-953-346-184-7), Sep 8-10.

  • Hung, Y., Ding D., Liu W., Guan, C. (2022). Overjoyed By Customised Service? The Role Of Individualism, Australian & New Zealand Marketing Academy (ANZMAC) 2022, Perth, Australia, Dec 5-7.

  • Ren J., Zhang Y., Liu W., Lo S. (2022). Is All-Win Possible? A Novel Recommendation System for Music NFT Platform, The 22nd International Conference on Electronic Business (ICEB) 2022, Bangkok, Thailand, Oct 13-17.

  • Mou Jian, Guan Chong, & Liu Wenting (2021). Predicting Cryptocurrency Market Using Social Media Sentiments and Search Trends during Covid-19. The 22nd International Conference on Electronic Commerce (ICEC 2021), Chengdu, China.

  • Xiao Tong Yu, Guan Chong & Liu Wenting (2019). Marketing Strategy of Organic Agricultural Products on E-Commerce Platforms, ICEB 2019 Proceedings.
  • Liu Wenting, Chai Kah-Hin (2010). Identifying and measuring Reach and Richness: Toward a knowledge sharing mechanism selection model. Portland International Conference on Management of Engineering and Technology 2010, Phuket, Thailands
  • Reviewer, Asia Pacific Journal of Information Systems
  • Reviewer, Electronic Commerce Research and Applications
  • Reviewer, International Journal of Internet Marketing and Advertising
  • Reviewer, Journal of Electronic Business & Digital Economics

2019 Revenue Management Solutions

  • Measuring price elasticities via discrete choice models and MCMC models
  • Making recommendations on next best purchase by collaborative filtering
  • Optimising profitability using genetic algorithm based quadratic optimisation model
  • Machine Learning (gradient boosting machines, random forest, recommender engine)
  • Natural Language Processing/Natural Language Inference/ABSA/BERT
  • Deep Learning/Image Recognition Model
  • Genetic-algorithm-based Quadratic Optimisation Model
  • Multivariate Time Series/Vector Auto Regression (VAR)
  • MOE Start-up Research Funding, Is All-Win Possible? A Novel Recommendation System for Music NFT Platform, Co-Principal Investigator, Sep 2022 to Mar 2024
  • 2020 - "Analytics-driven pricing strategy in big data context", Critical Core Skills Workshops, Lifelong Learning Institute & HeadHunt
  • 2019 - "Big data driven pricing strategy", Department of Economics, National University of Singapore
  • 2018 - "Price sensitivity measurement via MCMC and Bayesian Modeling", School of Management, Zhejiang University
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