Associate ProfessorQuan Vu
Associate Professor
Faculty of Business and Law/Deakin Business School
- Associate ProfessorFaculty of Business and Law/Deakin Business School
- +61 3 924 68881 (Work)
- Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125
BIO
Dr. Quan Vu is an Associate Professor at the Information Systems and Business Analytics Discipline, Deakin Business School, Deakin University. His research focuses on data science applications in tourism and hospitality management. He has published in and acted as a reviewer for the top quality journals (ABDC Ranked A*), such as Tourism Management, Journal of Travel Research, Annals of Tourism Research, Journal of Sustainable Tourism, International Journal of Hospitality Management, Information & Management, Decision Support Systems, and Journal of Association for Information Science and Technology.
Research Groups
* Centre for Cyber Security Research and Innovation (CSRI)
Editorial Board Member:
Information for prospective HDR (PhD or Masters by Research) students
DEAKIN UNIVERSITY CURRENT APPOINTMENT
- Associate ProfessorDeakin University, Information Systems and Business Analytics Discipline Group
ACADEMIC POSITIONS
- Senior LecturerDeakin University, Department of Information Systems and Business Analytics, Australia1 Jul 2019 - 31 Dec 2024
- LecturerCentral Queensland University, School of Engineering and Technology, Australia29 Jan 2018 - 30 Jun 2019
- Research Fellow / LecturerVictoria University, College of Engineering & Science, Australia23 Jul 2015 - 26 Jan 2018
DEGREES
- Doctor of PhilosophyDeakin University
FIELDS OF RESEARCH
- Marketing
- Commercial services
- Data management and data science
- Hospitality management
- Tourism marketing
- Tourism management
- Spatial data and applications
- Decision support and group support systems
AVAILABILITY FOR SUPERVISION
- Masters by Research supervision
AREA/FACULTY
- Faculty of Business and Law
DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE
- Deakin Business School
- Information Systems and Business Analytics Discipline Group