Rungting Tu
information
基本資料
| 姓名Name | 涂榮庭 Rungting Tu |
| 職稱Title | Associate Professor |
| 辦公時間Office Hour | - |
| 聯絡方式Contact | Tel : (04)23590121#35127 |
| Fax : (04)23594107 | |
|---|---|
| E-mail : jungting@thu.edu.tw | |
| Office : M602 | |
| 個人網站Personal Website | 無 |
| 學歷Academic Degrees | PhD /博士 Business Administration at University of North Carolina Chapel Hill 1998.09 ~ 2004.08 |
| MS /碩士 Operations Research at Stanford Univerisity 1994.09 ~ 1996.04 | |
| BS /學士 Department of Industrial Engineering at Tunghai University 1988.09 ~1992.06 | |
| 經歷Experience | Associate Professor, College of Management, Shenzhen University 2014.07 ~ 至今 |
| Adjunct Professor, HSBC Business School, Peking University 2019.09 ~ 至今 | |
| Visiting Professor, Faculty of Business, The University of Hong Kong 2011.08 ~ 2012.08 | |
| Assistant Professor, Guanghua School of Management, Peking University 2004.07~ 2011.07 | |
| 經歷Experience | Outstanding Undergraduate Course Award (2018-2019) |
| Undergraduate Teaching Practice Contribution Award (2017-2018) | |
| Undergraduate Course Appreciation Award (2017-2018) | |
| Outstanding Undergraduate Teacher Award (2016-2017) | |
| Outstanding Undergraduate Professional Course Award, College of Management (2015-2016) | |
| Undergraduate Course Appreciation Award, College of Management (2015-2016) | |
| MBA Distinguished Teacher (2017-2018) | |
| MBA Outstanding Teacher (First in Profession) (2017-2018) | |
| MBA Outstanding Teacher (First in Profession) (2016-2017) | |
| MBA Teaching Award (Second in Profession) (2015-2016) | |
| MBA Outstanding Teacher (First in Profession) (2014-2015) | |
| 2010 Best Teaching Award, Guanghua School of Management, Peking University | |
| 2009 Best Teaching Award, Peking University | |
| 2008 Industrial and Commercial Bank of China Teaching Award, Peking University | |
| 授課領域Discipline | Marketing Intelligence and Data Analytics, Operations Management |
| 研究專長Speciality | Consumer Behavior, Services Marketing Customer Satisfaction, Customer Loyalty, Service Recovery, Customers Relationship Management Marketing Strategy, Consumer Decisions Luxury Consumptions Research Methodologies Social Media |