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

  • 2023 - present
    Head, Artificial Intelligence for Business, Singapore University of Social Sciences
  • 2019 - 2022
    Senior Lecturer, Singapore University of Social Sciences
  • 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:

  • Zhang Y., Ren J., Liu W., Ding, D., Int. J. of Data Analysis Techniques and Strategies, accepted.
  • Mou, J., Liu, W., Guan, C., Westland, J. C., & Kim, J. (2024). Predicting the cryptocurrency market using social media metrics and search trends during COVID-19. Electronic Commerce Research, 1-27.
  • Guan, C., Liu, W., Yu, Y., & Ding, D. (2024). Tokenomics in the Metaverse: understanding the lead-lag effect among emerging crypto tokens. Financial Innovation, 10(1), 88.
  • Lin, H., Wu, S., Zhang, S., & Liu, W. (2023). Design of Reverse Network for Recyclable Packaging Boxes under Uncertainties. Sustainability, 15(15), 11781.
  • Guan, C., Hung, Y. C., & Liu, W. (2022). Cultural differences in hospitality service evaluations: mining insights of user generated content. Electronic Markets, 32(3), 1061-1081. < abdc="" rating:="" a;="" impact="" factor="" 8.5="">
  • Guan, C., Liu, W., & Cheng, J. Y. C. (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, 1-27.
  • Ding, D., Guan, C., Chan, C. M., & Liu, W. (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(1), 1-21.

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:

  • Wang, W. J., Wu, C. K., Liu, W., Hung, Y. C., Ren, J., & Horng, J. T. (2023). Public Sentiment Toward ChatGPT on Social Media X: An Evidence of Mixed Emotions. 34th Australasian Conference on Information Systems, Wellington, New Zealand, Dec 5-8.
  • Chang, H. and Liu, W. (2023). Balancing Short-Term Earnings Pressure with Long-Term Socially Responsible Behavior: An Examination of Managerial Cognitive Biases. 15th CEA (Europe) and 34th CEA (UK) 2023 Annual Conference, Gottingen, Germany, Jul 14-16.
  • 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 W (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 W (2019). Marketing Strategy of Organic Agricultural Products on E-Commerce Platforms, ICEB 2019 Proceedings.
  • Liu W, 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, Thailand
  • The Academic Council of the Risk and Insurance Management Association of Singapore (RIMAS) (actively involved in advancing risk-focused education and certification initiatives, encompassing various areas such as AI Risk, Cybersecurity, Sustainability, Green Data Center Risk, Generative AI Risk, among others.)
  • 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

Utilizing Big Data and Machine Learning Models for Pricing in the Food and Beverage Industry, with Revenue Management Solutions, 2019

  • Predict price elasticities using big data, discrete choice models and Markov chain Monte Carlo model
  • Develop recommender engine on next best purchase by collaborative filtering
  • Optimise profitability using genetic algorithm based quadratic optimisation model
  • Natural Language Processing/Natural Language Inference/LDA/ABSA/BERT
  • Deep Learning and Image Recognition Model
  • Machine Learning Models (gradient boosting machines, random forest, recommender engine)
  • Genetic-algorithm-based Quadratic Optimisation Model
  • Multivariate Time Series/Vector Auto Regression (VAR)
  • MOE Start-up Research Funding, Free-to-Play or Play-to-Earn? Understanding GameFi's Mass Players and Market using Text Analytics. Co-Principal Investigator. 31 July 2023 to 30 June 2024. Reference number: RFE23006
  • 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

  • “Unleashing Creativity: Exploring Generative AI for Business Innovation”, SkillsFuture Festival@IHL 2024, July 29, 2024
  • “Unravelling Donor Engagement on Donation-based Crowdfunding platform”, WWF Singapore, Jul 26, 2023
  • “Unleashing the Future: Blockchain and AI in Entertainment”, SkillsFuture Festival@IHL 2023, Aug 3, 2023
  • “Analytics-driven pricing strategy in big data context”, Critical Core Skills Workshops, Lifelong Learning Institute & HeadHunt, 2020
  • “Big data driven pricing strategy”, Department of Economics, National University of Singapore, 2019
  • “Price sensitivity measurement via MCMC and Bayesian Modeling”, School of Management, Zhejiang University, 2018
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