基本信息
views: 6
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
Eric See-To is Assistant Professor at Department of Industrial and Systems Engineering, Hong Kong Polytechnic University. Prior to the current appointment, Eric served as Senior Lecturer in the Business School, University of Newcastle-upon-Tyne, UK, and as Lecturer in Department of Management Science, Lancaster University Management School, UK. Eric’s research focuses on strategy and consumer behaviors in mobile and digital environments, and business intelligence and knowledge mining. He studies the role of information and digital interaction, empowered by technology, in formulating business model and marketing strategy, and the practical applications of business intelligence and knowledge mining. His work has been published in international journals such as Journal of Management Information Systems (JMIS), Research Policy, Technological Forecasting and Social Change, Electronic Markets, Information Systems Frontiers, and Journal of Electronic Commerce Research.
Research Interests
Papers共 60 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Llewellyn E. van Zyl, Rebecca Shankland, Jeff Klibert,Nicolas B. Verger,Sebastiaan Rothmann,Vincent Cho, Katherine Feng, Eric W. K. See-To,Lara C. Roll,Anindita Ghosh,Leander van der Meij,Diane Arijs,
FRONTIERS IN EDUCATION (2024)
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCEno. 1 (2024): 377-388
PATTERN RECOGNITION (2024): 110125-110125
Information & Managementno. 8 (2023): 103886-103886
APPLIED SOFT COMPUTING (2023): 110962-110962
arXiv (Cornell University) (2021)
Cited0Views0EIBibtex
0
0
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn