Research Projects

Feel free to contact me if you have similar research interests. My email is mingming.cheng@otago.ac.nz


Areas of Research Expertise

Data science, Advanced Research Methods, Chinese generation Y, Tourism Marketing, Consumer Behavior, Sharing Economy

Research software

Excellent knowledge of Qualtrics, Nvivo, Leximancer, SPSS, R, Gephi, ArcGIS and a series of visual analytic tools: cartobd and google fusion table

Current Research Projects

The sharing economy
This is on-going research on many aspects of the sharing economy, generating a series of multidisciplinary research projects with researchers from a variety of backgrounds, including business, sociology, economics, environmental science, computer science and engineering.

Discrimination with Airbnb
Associate Professor Carmel Foley, University of Technology Sydney, Australia
Dr Yao-tai Li, Hong Kong Baptist University, Hong Kong, China

Airbnb users’ experiences
Dr Xin Jin, Griffith University, Australia
Kaikun Ma, Dr Jie Wang, Associate Professor Yunxia Zhu, University of Queensland, Australia

Airbnb’s economic, social-cultural, environmental and political impacts
Dr Guangwu Chen, University of New South Wales, Australia
Airbnb host’s strategies

Selected Publications:

  • Cheng, M., & Edwards, D. (2017). A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality. Current Issues in Tourism. doi:10.1080/13683500.2017.1361908 (SSCI) (ABDC: A)
  • Cheng, M. (2016). Sharing economy: A review and agenda for future research. International Journal of Hospitality Management, 57, 60-70. (SSCI) (ABDC: A*)
  • Cheng, M. 2016. Current sharing economy media discourse in tourism. Annals of Tourism Research, 60, 111-114. (SSCI) (ABDC: A*)

Chinese outbound tourists

Chinese outbound tourists has enjoyed a rapid growth in the last decade with the potential to grow much larger. In New Zealand, Chinese tourists have now became New Zealand’s second largest tourist market, with nearly 4000,000 Chinese tourists in 2016. However, many tourist destinations underestimate the importance of a culturally sensitive approach when servicing this group, particularly with the emerging young Chinese, who are gradually becoming the largest driving force for Chinese outbound travel. My current research examines various aspects of Chinese outbound tourists’ behaviour.

Selected Publications:

  • Cheng, M., & Foley, C. (2017). Understanding the distinctiveness of Chinese Post-80s tourists through an exploration of their formative experiences. Current Issues in Tourism. 10.1080/13683500.2017.1406462 (SSCI, ABDC: A)
  • Cheng, M., Wong, A., & Prideaux, B. (2017). Political Travel Constraint: The Role of Chinese Popular Nationalism. Journal of Travel & Tourism Marketing, 34(3), 383-397 (SSCI) (ABDC: A)
  • New Zealand Tourism Business Needs Research Report with Dr Craig Lee and Professor Neil Carr
  • Media coverage: How Nationalism Guides Chinese Outbound Travel.

Big data in tourism
Recent advances in technology and growing emphasis on internet of things have led to a big data era in tourism and hospitality. However, while big data has received considerable media coverage in highlighting the benefits of using big data, the tourism and hospitality research in this area lags behind. There is ongoing research that develops new methods in tapping the potential of big data in tourism by generating better answers to existing and new questions.

Spatial-temporal behaviour of tourists 
Associate Professor Deborah Edwards, University of Technology Sydney.

Measuring the impacts of 2018 Commonwealth Games in Gold Coast, Australia using non-traditional methods
Dr Xin Jin, Griffith University, Australia
Dr Ying Wang, Griffith University, Australia

Advanced sentiment Analysis
Dr Aaron Hsiao from Griffith University, Australia
Associate Professor Emily Ma from University of Massachusetts Amherst

Selected Publications:

  • Edwards, D., Cheng, M., Wong, I.A., Zhang, J., & Wu, Q. (2017). Ambassadors of Knowledge Sharing: Co-produced Travel Information Through Tourist-Local Social Media Exchange. International Journal of Contemporary Hospitality Management, 29 (2), 690-708. (SSCI) (ABDC: A)
  • Cheng, M. (2017). Big Data Management, edited by Fausto Pedro García Márquez and Benjamin Lev, Switzerland, Spring International Publishing. Information Technology & Tourism. 17(4), 455-456.(ABDC: B)

Consumer behaviour

There is on-going research collaboration on consumer behaviour.

Service Knockoffs in China
The most recent one is on service knockoffs in China with Professor Mark Rosenbaum from the University of South Carolina and Professor Anthony Ipkin Wong from the City University of Macau, China.

Selected Publications:
Rosenbaum, M.; Cheng, M.;. & Wong, I.A.(2016). Introducing Servicescape Knockoffs: Understanding consumer acceptance and rejection of inauthentic retail establishments. Journal of Business Research. (SSCI) (ABDC: A) doi.10.1016/j.jbusres.2016.01.015

Media coverage
https://www.frank.news/2017/01/12/fake-starbucks-of-apple-store-versterkt-de-echte/

Users’ experiences of fine dining Chinese restaurants
Dr Aaron Hsiao from Griffith University, Australia
Associate Professor Emily Ma from University of Massachusetts Amherst, US

 


Past Research Projects

  • Chinese incentive delegate expenditure in Australia (Business Event Sydney)
  • Customer Service Quality and Performance (UTSActivate gym)
  • The Royal Botanic Gardens and Domain Trust Master plan: The Effects of Cultural History and Stakeholder Power on the Nature of Controversy
  • Destination’s competitiveness from a bottom-up approach
  • Cross cultural analysis of SME corporate social responsibility engagement
  • Learning Analytics for Graduate Attributes: Business School Masters Research Project (capstone)
  • Using Smart Phones and Integrated Methodology in a Field Trial to Understand Tourist Dispersal Beyond Gateway Cities (Destination New South Wales)
  • The Full Value of Business Events: Incorporating Beyond Tourism Benefits (BTB) Outcomes
  • Measuring research impact beyond academic publications and citations
  • Identify Conations of Connectivity of City Space
  • CLARA – Learning Analytics Tool evaluation across UTS