Chenxi Zhang, Assistant Professor (Ph.D Supervisor)


 

Office:  4F, Building N                                                                 

Tel.:      8590-2713                                                                 

E-mail: cxzhang@cityu.edu.mo                                                               

                                                                               

Academic Qualification:                                                                               

Doctor Degree           Ph.D. in Management Science and Engineering, Sichuan University, China.

Doctor Degree           Join PhD in Department of Digitalization, Copenhagen Business School, Denmark

   

Working Experience                                                                             

From 2024/01 to Present              Assistant Professor in Faculty of International Tourism and Management,

                                                         City University of Macau, Macau

From 2024/09 to Present              Director of Computational Tourism Science Laboratory, Faculty of International Tourism

                                                         and Management, City University of Macau, Macau

     

Teaching Area

International Hotels: Development and Management

Tourism Destination Planning and Conservation

Travel and Hospitality Operations Decision Making

Travel and Hospitality Resource Management

Project Management for E-Tourism

Visitor Management and Interpretation

                                                                                                                                                 

Research Area

Smart Tourism

Service Innovation and Redesign

Social Media Mining

The Application of LLMs in Service Management
 
 

Professional Certification and Awards

2025  First-Class Research Award of City University of Macau

2024  Outstanding Mentor Teacher for the 2th National Virtual Hotel Management Competition

2024  Outstanding Mentor Teacher for the 14th National Student Red Tourism Creative Planning Competition

2023  Outstanding Graduate Master Student of Sichuan University

2022  First-Class Academic Scholarship of Sichuan University

2021  Outstanding Master Student of Sichuan University

2020  Outstanding Graduate of Liaoning Province

2019  He-Gang Scholarship

2019  Outstanding Master Student Leader of Northeastern University

2018  First-Class Academic Scholarship of Northeastern University

 

Professional Society Membership

Ad-hoc Journal Reviewer:

  • Tourism management (SSCI, ABS4);
  • Risk Analysis (SSCI, ABS4);
  • Annals of Tourism Research (SSCI, ABS4);
  • International Journal of Contemporary Hospitality Management (SSCI, ABS3);
  • IEEE Transactions on Cybernetics (SCI, ABS3);
  • Journal of Retailing and Consumer Services (SSCI, ABS2);
  • Information Processing & Management (SSCI, ABS2);
  • Journal of Hospitality and Tourism Management (SSCI, ABS2);
  • Current Issues in Tourism (SSCI, ABS2);
  • International Journal of Tourism Research (SSCI, ABS2);
  • Total Quality Management & Business Excellence (SSCI, ABS2)
  • IEEE/CAA Journal of Automatica Sinica (SCI);
  • Humanities and Social Sciences Communications (SSCI);
 

Conference paper Reviewer:

  • The annual Pacific Asia Conference on Information Systems
  • Annual Pre-ICIS Workshop on HCI Research in MIS
  • China Summer Workshop on Information Management 
 

Academic Publication

Journal Paper

  • Zhao, M., Zhang, Y., Zhang, C., & Wang, Y. (2025). An innovative method for improving hotel service using implicit requirement generation and quality function deployment. Journal of Retailing and Consumer Services, 84, Article 104251. *Corresponding Author (SSCI, JCR Q1, ABS 2, ABDC-A)
  • Wang, X., Zhang, C., & Xu, Z. (2024). A product recommendation model based on online reviews: Improving PageRank algorithm considering attribute weights. Journal of Retailing and Consumer Services, 81, Article 104052. *Corresponding Author (SSCI, JCR Q1, ABS 2, ABDC-A)
  • Zhao, M., Meng, X., Zhang, C., & Zhang, Y. (2024). Making platform recommendations more responsive to the expectations of different types of consumers: A recommendation method based on online reviews. Applied Intelligence, 54(22-24), 13075–13100. *Corresponding Author (SCI, JCR Q2)
  • Pu, Z., Zhang, C., & Xu, Z. (2024). Review of consumer preference mining research based on online reviews. Chinese Journal of Management Science, 1-13. https://doi.org/10.16381/j.cnki.issn1003-207x.2024.0483 (CSSCI, FMS T1)
  • Zhang, C., & Xu, Z. (2024). An online review-based method for dealing with health-related crises in the hospitality industry: A case of the COVID-19 pandemic. Total Quality Management & Business Excellence, 35(13–14), 1611–1639. (SSCI, JCR Q1, ABS 2)
  • Zhang, C., & Xu, Z. (2024). Gaining insights for service improvement through unstructured text from online reviews. Journal of Retailing and Consumer Services, 80, Article 103898. (SSCI, JCR Q1, ABS 2, ABDC-A)
  • Chen, C., Zhang, C., & Xu, Z. (2024). An online reviews-driven Kano-QFD method for service design. IEEE Transactions on Engineering Management, 71, 8153-8165. *Corresponding Author (SSCI, JCR Q1, ABS 3, FMS A, ABDC-A)
  • Zhao, M., Liu, M., Xu, C., & Zhang, C. (2024). Classifying travelers’ requirements from online reviews: An improved Kano model. International Journal of Contemporary Hospitality Management, 36(1), 91-112. *Corresponding Author (SSCI, JCR Q1, ABS 3, FMS B, ABDC-A)
  • Pu, Z., Xu, Z., Zhang, C., Zeng, X.-J., & Gan, W. (2024). An online review-driven two-stage hotel recommendation model considering customers' risk attitudes and personalized preferences. Omega, 131, Article 103197. (SSCI, JCR Q1, ABS 3, FMS B, ABDC-A)
  • Pu, Z., Zhang, C., Xu, Z., & Wang, X. (2024). Hotel selection based on online reviews: A novel fuzzy decision support model considering risk attitudes of customers. Journal of the Operational Research Society, 75(7), 1407-1420. (SSCI, JCR Q2, ABS 3, ABDC-A)
  • Zhang, C., Xu, Z., Gou, X., & Škare, M. (2023). The dynamic impact of inflation on supply chain and competitiveness: Bibliometric and econometric analysis. Journal of Competitiveness, 15(1), 146-167. (SSCI, JCR Q1)
  • Chen, S., Ngai, E. W. T., Ku, Y., Xu, Z., Gou, X., & Zhang, C. (2023). Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction. Decision Support Systems, 170, Article 113959. (SCI, JCR Q1, ABS 3, ABDC-A*)
  • Chen, S., Xu, Z., Wang, X., & Zhang, C. (2022). Ambient air pollutants concentration prediction during the COVID-19: A method based on transfer learning. Knowledge-Based Systems, 258, Article 109996. (SCI, JCR Q1, ABDC-A)
  • Zhang, C., Xu, Z., Gou, X., & Chen, S. (2021). An online reviews-driven method for the prioritization of improvements in hotel services. Tourism Management, 87, Article 104382. (SSCI, JCR Q1, ABS 4, FMS A, ABDC-A*, ESI Highly Cited Paper)
  • Zhang, C., Zhao, M., Zhao, L., & Yuan, Q. (2021). A consensus model for large scale group decision making based on the trust relationship considering leadership behaviors and non cooperative behaviors. Group Decision and Negotiation, 30(3), 553-586. (SSCI, JCR Q1, ABS 2, FMS B, ABDC-A)
  • Zhao, M., Zhang, C., Hu, Y., Xu, Z., & Liu, H. (2021). Modelling consumer satisfaction based on online reviews using the improved Kano model from the perspective of risk attitude and aspiration. Technological and Economic Development of Economy, 27(3), 550-582. (SSCI, JCR Q1)
  • Zhao, M., Zhang, C., Qin, J., & Zhang, B. (2021). Multi-criteria decision-making method with probabilistic linguistic weighted information based on experimental design. Operations Research and Management Science, 30(01), 50-56. (CSSCI, FMS T2)
  • Zhang, C., Zhao, M., Cai, M., & Xiao, Q. (2020). Multi-stage multi-attribute decision making method based on online reviews for hotel selection considering the aspirations with different development speeds. Computers & Industrial Engineering, 143, Article 106421. (SCI, JCR Q1, ABS 2, ABDC-A)
  • Zhao, M., Zhang, C., Hu, Y., & Li, G. (2020). Multi-attribute group decision-making method based on aspiration satisfaction function]. Chinese Journal of Management Science, 28(02), 220-230. (CSSCI, FMS T1)

Conference Paper

  • Zhang, C., Xiong, B., Lim, E., Tan, C.-W., & Xu, Z. (2021, December). Classification of online customer reviews for digital product innovation: A motivation perspective. Paper presented at the 20th Annual Pre-ICIS Workshop on HCI Research in MIS (Pre-ICIS SIGHCI 2021).

 

Research Project

  • Youth Project of National Natural Science Foundation of ChinaIntelligent Decision-Making Methods for Tourism Service Optimization Driven by Multimodal Data and Based on Large Language Models, Principal Investigator, 2026
  • Macau Foundation: Research on Optimizing Tourist Experience and Enhancing Residents' Happiness in the Guangdong-Hong Kong-Macao Greater Bay Area under the Background of Smart Tourism, Project participant, 2025.
  • General Project of National Natural Science Foundation of ChinaThe Theory And Application of Probabilistic Preference Intelligent Decision Making for Medical Auxiliary Diagnosis, Project participant, 2023.
  • Humanities and Social Sciences Youth Foundation of Ministry of Education of China: Emergency medical resource demand prediction and intelligent decision making driven by multi-source heterogeneous cognitive information, Project participant, 2022.
  • Soft Science Research Program Project of Sichuan Province: "Double Carbon" target under sichuan province energy transformation path methods and optimization, project participants, 2022
  • Natural Science Foundation of Sichuan Province: Complex cognitive information driven by sichuan provincial emergency medical resource management decision problem research, project participants, 2022
  • General Project of National Natural Science Foundation of China: Probabilistic Preference Decision Theory and its Application in Water Resources Emergency Management, Project participants, 2021
  • Fundamental Research Funds for the Central Universities: Online product recommendation methods considering consumer behavior factors, Project participant, 2019.
  • Youth Project of National Natural Science Foundation of China: Hybrid Multi-Attribute Decision Making Method Based on Aspiration Satisfaction Function, Project participant, 2018.