Dr Yingsha Zhang
Senior Lecturer in Tourism & Hospitality Management
Consumer Behaviour; Data mining; Human Geography; Machine Learning; Management; Marketing; Statistics; Tourism; Tourism and Accommodation; Tourism Development; Tourism Impacts
Qualifications: PhD in Hospitality Management at the University of South Carolina; Master of Science in Human Geography at Anhui Normal University; Bachelor of Management at South China Normal University
Personal Website: https://yingshazhang.weebly.com/
Contact DetailsEmail: [email protected]
Phone: +64 7 837 9292
Yingsha holds a PhD in hospitality management; a master’s degree in human geography; a bachelor’s degree in tourism management; a graduate certificate in applied statistics; and multiple certificates in computer programming (e.g., Python, Visual FoxPro). Yingsha is also a certified hospitality educator, a certified Chinese tour guide, and a certified AutoCAD designer.
Yingsha's research interests include destination marketing and management, consumer behaviour and decision making, tourism and hospitality analytics, and tourism geography, with a focus on theme parks and new research techniques (e.g., big data, machine learning, and computer simulation).
Yingsha has published many articles in top-tier tourism journals, such as Tourism Management, Journal of Travel Research, and Annals of Tourism Research. She has presented articles at many international tourism and hospitality conferences, including TTRA, ICHRIE, CAUTHE, ApacCHRIE, and Grad Conference.
Yingsha has led or participated in 27 tourism projects funded by governments, tourism companies, and institutions throughout China, the United States, New Zealand, and Canada. As a principal investigator or associate investigator, she has received funding totalling US$1,832,360.
Yingsha has worked in the tourism and hospitality industries in China and New Zealand for more than five years (across full-time, part-time, internship, and volunteer experiences). Specifically, she has spent time in tourism agencies, hotels, tourism consultation institutions, an event company, and a museum.
Social media and external research profiles:
PhD students, Master students, and undergraduate students
Destination Marketing and Management
Tourist Behavior and Decision Making
Special Focus: Theme Park, Big Data
Chen, Z., Ryan, C., & Zhang, Y. (2021). Transgenerational place attachment in a New Zealand seaside destination. Tourism Management, 82, 11 pages. doi:10.1016/j.tourman.2020.104196
Zhang, Y., Li, X., Cárdenas, D., & Liu, Y. (2021). Calculating theme parks’ tourism demand and attractiveness energy: A reverse gravity model and particle swarm optimization. Journal of Travel Research, online, 004728752097770. doi:10.1177/0047287520977705
Chen, Z., Ryan, C., & Zhang, Y. (2021). Cross-generational analysis of residential place attachment to a Chinese rural destination. Journal of Sustainable Tourism, online, 21 pages. doi:10.1080/09669582.2021.1890095
Hokowhitu, B., Oetzel, J., Simpson, M., Nock, S., Reddy, R., Meha, P., . . . Ruru, S. (2020). Kaumātua Mana Motuhake Pōi: a study protocol for enhancing wellbeing, social connectedness and cultural identity for Māori elders. BMC Geriatrics, 20(1), 15 pages. doi:10.1186/s12877-020-01740-3
Find more research publications by Yingsha Zhang