Nottingham University Business School China

Research Bio

I am a PhD student of the Nottingham University Business School China (NUBS China) and fully funded by the International Doctoral Innovation Centre (IDIC). My PhD project studies why some online rumours are shared more than others in social media. I develop my research model based on rumour, persuasion and emotion theories, and uses social media data to test  the model. My research interests include online information sharing, e-commerce, electronic word-of-mouth (eWOM), emotion, and big data

Publication

1. Fangfang Hou, Boying Li, Alain Yee-Loong Chong, Natalia Yannopoulou, Martin Liu, and Eugene Ch’ng (Accepted) Understanding and predicting what influence online product sales? A neural network approach. Production Planning & Control. (SCI, ABS 3)
2. Boying Li, Eugene Ch’ng, Alain Yee-Loong Chong, and Haijun Bao (2016). Predicting online e-marketplace sales performances: A big data approach. Computers & Industrial Engineering, 101: 565-571. (SCI, EI, ABS 2)
3. Alain Yee-Loong Chong, Boying Li, Eric W. T. Ngai, Eugene Ch’ng, Filbert Lee (2016). Predicting online product sales via online reviews, sentiments, and promotion strategies: A big data architecture and neural network approach. International Journal of Operations and Production Management (IJOPM), 36 (4): 358-383. (SSCI, ABS 4)
4. Haijun Bao, Boying Li, Jiaying Shen, Fangfang Hou (2016). Repurchase intention in the Chinese e-marketplace: Roles of interactivity, trust and perceived effectiveness of e-commerce institutional mechanisms. Industrial Management & Data Systems (IMDS), 116 (8): 1759 – 1778. (SCI, ABS 2)
5. Fangfang Hou, Alain Yee-Loong Chong, and Boying Li (2016). Factors determining a firm’s innovativeness: an empirical study of Chinese e-commerce industry. The 20th Pacific Asia Conference on Information Systems (PACIS 2016), Chiayi, Taiwan, 27 June- 1 July, 2016.
6. Alain Yee-Loong Chong, Eugene Ch’ng, Martin J. Liu and Boying Li (2015). Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews. International Journal of Production Research (IJPR), 1-15. (SCI, ABS 3)
7. Boying Li, Alain Yee-Loong Chong and Eugene Ch’ng (2015) What triggers sharing in viral marketing? The role of emotion and social feature. The 19th Pacific Asia Conference on Information Systems (PACIS 2015), Singapore, 5-9 July, 2015.
8. Boying Li, Martin J. Liu, Alain Yee-Loong Chong, Filbert Lee and Eugene Ch’ng (2015) The Role of Service Recovery in Negative Word of Mouth Communication. The 9th International Conference on Operations and Supply Chain Management, Ningbo, P.R. China, 12-15 July, 2015, pp. 199-203.
9. Boying Li, Ke Li, Meijiang Li, Wen Li, Youran Liu (2015) How does computer-mediated communication influence e-commerce repurchase intention? The role of perceived effectiveness of e-commerce institutional mechanism. The9th International Conference on Operations and Supply Chain Management, Ningbo, P.R. China, 12-15 July, 2015.
10. Mengdi Li, Eugene Ch’ng, Boying Li, and Shunyi Zhai (2015) Social-cultural monitoring of smart cities using big data methods: Alcohol consumption and sentiments. The 3rd International Conference on Smart Sustainable City and Big Data (ICSSC), Shanghai, P.R. China, 27-28 July, 2015.
11. Mengdi Li, Eugene Ch’ng, Shunyi Zhai, Boying Li, and Simon See (2015) Monitoring alcohol consumption and online sentiment using big data. The 9th International Conference on Operations and Supply Chain Management, Ningbo, 12-15 July, 2015, pp. 193-198.
12. Anders Örtenblad, Ziyun Fan, Chenghao Peng, and Boying Li et al. (2013) Putting the learning organization into context: contributions from previous works. In Örtenblad, A. (Ed.) Handbook of Research on the Learning Organization: Adaptation and Context. Edward Elgar Publishing.

Research Bio

I am a Ph.D. Candidate in Information Systems at Nottingham University Business School China. She is now in her second year of the three-year program which is fully funded by the Arts and Humanities Research Council (AHRC). My research interests include e-commerce, social media, innovation and intellectual property. My Ph.D. project aims to analyze the internal and external determinants of the ICT firm’s innovativeness in China and how they can interact with each other.

Publication List

1. Bao, H., Li, B., Shen, J., and Hou, F. 2016. “Repurchase Intention in Chinese E-marketplace: Roles of Interactivity, Trust and Perceived Effectiveness of E-commerce Institutional Mechanisms,” Industrial Management & Data Systems (116:8), pp. 1759–1778.
2. Hou, F., Chong, A. Y.-L., and Li, B. 2016. “Factors determining a firm’s innovativeness: an empirical study of Chinese e-commerce industry,” in PACIS 2016 Proceedings, p. 84.
3. Hou, F., Li, B., Chong, A. Y., Yannopoulou, N., Liu, M. J., and Ch’ng, E. 2017. “Understanding and predicting what influence online product sales? A neural network approach,” Production Planning & Control (forthcoming).

Research Bio

I am a PhD student of the Nottingham University Business School China (NUBS China) and I am now in the second year of the programme. My PhD project studies whether disclosure really matter as in an empirical study of earnings management in private subsidiaries of publicly traded companies. My research interests include influence of accounting standards, earnings management, financial reporting quality and corporate governance.

Research Bio

I am a PhD student of the Nottingham University Business School China (NUBS China) and fully funded by the International Doctoral Innovation Centre (IDIC). My research interests include supply chain management, data mining, decision support system, time series, and big data.

Publication List

Conference Paper

1. Chan, H. K., & Xu, S. (2017). Data driven port management system,  the 1st International Symposium on Supply Chain and Service Innovation, South China University of Technology, Guangzhou, 6th – 7th April 2017
2. Chan, H. K., & Xu, S. (2017). Intelligent Port Data Management Systems to Improve Capability, (NO. 152), the 14th International Conference on Service Systems and Service Management (ICSSSM 2017), Dongbei University of Finance and Economics, Dalian, Liaoning, 16th - 18th June 2017. [EI indexed]
3. Chan, H. K., & Xu, S. (2017). Port Data Management Systems to Improve Capability, the 22nd International Symposium on Logistics (ISL 2017), Ljubljana, Slovenia, 9th-12th July 2017

Book Chapter

1. Xu, S., & Tan, K. H. (2016). Data-Driven Inventory Management in the Healthcare Supply Chain. Supply Chain Management in the Big Data Era.

Research Bio

I am a PhD student of the Nottingham University Business School China (NUBS China). My PhD project studies how multinational enterprises choose their establishment modes in foreign markets, and how these choices may affect their performance. I develop my research model based on transaction cost and resource based view theories, and use value chain perspective to explain the establishment mode choice behavior. I use Chinese on-list enterprises’ data to test the model. My research interests include position movement on global value chain, the host and home country environment, and industry characteristics.

Publication List

1. Boateng, A., Wang, Q., and Yang, T. 2008. “Cross-Border M&As by Chinese Firms: Analysis of Strategic Motives and Performance,” Thunderbird International Business Review (50:4), pp. 259-268.

Research Bio

I’m a first year PhD student at The University of Nottingham Ningbo China. I received my bachelor degree from The University of Nottingham Ningbo China in 2015, and my current research project is Application of model selection in quantitative finance on Chinese market.

Research Interests

I am currently interested in Markov chain Monte Carlo (MCMC) approach theory and application in model selection in finance, which is a research discipline that combines both intensive computational Bayesian statistics approach using MCMC and stochastic financial modelling.

Current Research Project

Quantitative finance has been well developed in western countries. The majority trading (over 70%) have been implemented in quantitative approach. However, the choice of good algorithms/models has caused practitioners unexpected challenges during the crisis time. Topics on model selection is an important part of any statistical analysis, and indeed is central to the pursuit of science in general. Many authors have examined this question, from both frequentist and Bayesian perspectives, and many tools for selecting the “best model" have been suggested in the literature. Quantitative trading is just in its initial developing stage in China due to the immature finance market and limited products to trade (The 1st quantitative fund just started to trade in China from 2009). Hence the study of model selections in quantitative finance for Chinese markets has both great scientific and economy values. The expected outcome will provide criteria of models selections for trading and investment in Chinese finance market.

Topics on model selection in quantitative finance involve analysing and studying partial observed big data from finance market. Various analysis methods such as data mining, computational statistics and machine learning will be used to study the observed big data. It is innovative multidisciplinary research areas, including finance, machine learning techniques and applied mathematics.