University of Nottingham Ningbo China
Nottingham University Business School China
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Alain Yee Loong Chong

Professor in Information Systems
Faculty Director of Research and Knowledge Exchange , Nottingham University Business School China 

Qualifications

Doctor of Philosophy in IT Management,
MSc (Distinction) in E-Commerce,
BSc (Hons) in Computer Science

Contact

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Biography

Biography

Alain is a Professor of Information Systems at Nottingham University Business School China (NUBS).  Prior to joining NUBS, Alain has worked in the United Kingdom, Malaysia, and Hong Kong as a software engineer, postdoctoral fellow and Associate Professor in Computer Science.  Alain’s research interests are in the areas of e-business, technology acceptance and healthcare information systems.  Alain has published over 100 articles and was a recipient of the 2012 Ten Outstanding Young Malaysian Award conferred by Junior Chamber International.  He was also named as one of the Most Cited Chinese Researchers in 2015 and 2016 by Elsevier Scopus database and is a recipient of the Ningbo 3315 Individual Talent Scheme. To date, he has received more than RMB 2 million funding for various research projects (E.g. HK General Research Fund, Royal Society, National Natural Fund of China, Malaysia Fundamental Research Grant Scheme etc.). 

He is currently the co-editor of Industrial Management & Data Systems (SCI and ABS level 2) and Senior Editor of Decision Support Systems (ABS Level 3 and ABDC A*).  He serves or has served as an editorial board member (or equivalent) of International Journal of Mobile Communications, Online Information Review and Journal of Computer Information Systems.  He has held visiting research positions at Nanyang Technological University, Hong Kong Polytechnic University and Greenwich University.

 

Teaching

UG Programme: The Digital Economy, Computers in Business

PG Programme: E-business

Executive Education: Data analytics, data science

 

Awards and Recognitions

Ten Outstanding Young Malaysian 十大杰出青年 2012

Most Cited Scholar Based in China, 2015 and 2016, Elsevier

Ningbo 3315 Individual Talent Scheme

Mentioned as one of the most productive authors in m-commerce in Hew, J.J., 2017. Hall of fame for mobile commerce and its applications: a bibliometric evaluation of a decade and a half (2000–2015). Telematics and Informatics, 34(1), pp.43-66.

 

Recent News

http://daily.cnnb.com.cn/nbrb/html/2017-03/03/content_1035541.htm?div=-1

http://zj.zjol.com.cn/news/570721.html

http://nb.cutv.com/new/nb/2017/03/03/2017030310641864.html

 

Research Summary

My projects are mainly in the areas of information systems and operations management.  I have several projects underway, many of which are in collaborations with my doctoral students. 

1. Electronic word of mouth and social media: Together with colleagues in computer science and my Phd students, we developed big data architecture that capture live social media contents to understand the formation of online community in social media, as well as social media and eWOM’s implications to businesses (e.g. branding, negative word of mouth) and society (e.g. terrorism, elections). 

2. Online reviews and decisions making: We are capturing online data such as review sentiments and use them to predict sales performances.  My doctoral student (Shasha Teng) also worked extensively on how different attributes of online reviews can influence users’ online behaviour.

3. Information systems acceptance: I am working on the factors that influence the acceptance of new information systems, with a keen interest in e-logistic standards.  I have several funding (e.g. NSFC and HK GRF) which support work in this area.

 

Rencent Publications

Chong, A.Y.L., Ch’ng, E., Liu, M.J. and Li, B., 2017. Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews. International Journal of Production Research, 55(17), pp.5142-5156.

Chong, A.Y.L., Li, B., Ngai, E.W., Ch'ng, E. and Lee, F., 2016. Predicting online product sales via online reviews, sentiments, and promotion strategies: A big data architecture and neural network approach. International Journal of Operations & Production Management36(4), pp.358-383. 

Balaji, M.S., Khong, K.W. and Chong, A.Y.L., 2016. Determinants of negative word-of-mouth communication using social networking sites. Information & Management.

Hu, N., Dow, K.E., Chong, A.Y.L. and Liu, L., 2016. Double learning or double blinding: an investigation of vendor private information acquisition and consumer learning via online reviews. Annals of Operations Research, pp.1-22. 

Lacka, E. and Chong, A., 2016. Usability perspective on social media sites' adoption in the B2B context. Industrial Marketing Management54, pp.80-91. 

Teng, S., Khong, K.W., Chong, A.Y.L. and Lin, B., 2016. Examining the Impacts of Electronic Word-of-Mouth Message on Consumers’ Attitude. Journal of Computer Information Systems, pp.1-14. 

For more please visit http://scholar.google.com/citations?user=7pwsrLAAAAAJ&hl=en&oi=ao