Dr. Shanshan Lin is an Associate Professor, PhD supervisior, at the School of Management, Zhejiang University. Her major research interests are smart tourism, digital life service in tourism,·tourism economics (with a special focus on tourism demand modelling and forecasting) and Chinese tourists behavior. Her research has been published in top tourism and forecasting journals such as Annals of Tourism Research, Tourism Management and Journal of Travel Research and International Journal of Forecasting. She is currently the Associate Editor of Annals of Tourism Research and editorial board members of Tourism Management , Journal of Travel Research, Asia Pacific Journal of Tourism Research, Journal of Destination Marketing & Management, and Tourism Review. She is the principal investigator for several international, national and regional research projects with the focus of research objectives on tourism demand modeling and forecasting. She has been involved in a number of research/consultation projects related to tourism forecasting and tourist satisfaction index, including Hangzhou Asian Games, Pacific Asia Travel Association (PATA), Tourism Commission, Commerce and Economic Development Bureau, Hong Kong Tourism Board, Ocean Park (Hong Kong), Hong Kong Disneyland and Shanghai Disneyland. 

ACADEMIC APPOINTMENTS

• 2015/12-Present:  Associate Professor, Department of Tourism and Hotel Management, School of Management, Zhejiang University

• 2013/07-2015/12:  Lecturer, Department of Tourism and Hotel Management, School of Management, Zhejiang University

• 2014/10-2015/01: Visiting Scholar , School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong

• 2012/09-2013/06: Research Associate, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong

• 2008/11-2009/06: Research Assistant, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong

EDUCATION EXPERIENCES 

• 2009/06-2013/06: PhD, Tourism Management , The Hong Kong Polytechnic University, Hong Kong

• 2009/05-2009/09: Visiting PhD,  University of Bath, UK

• 2006/09-2008/12: MSc, Economics (Statistics) , Dongbei University of Finance and Economics, China

• 2002/09-2006/07: Bachelor, Economics (Statistics), Dongbei University of Finance and Economics, China

Areas of Teaching Expertise

• Tourism Economics

• Statistics

• Quantitative Research Methods in Tourism

Doctoral Courses

• Managerial Statistics

D.HTM Courses (Joint Ph.D program by The Hong Kong Polytechnic University and Zhejiang University)http://zupuc.zju.edu.cn/curriculum/xwkc/category/D.HTM.html  :

• Quantitative Research Methods for Hotel and Tourism Management

MBA Courses

• Managerial Statistics

• Probability (Website: http://sommis.zju.edu.cn:85/open)

Undergraduate Courses

• Managerial Statistics

  
  

Projects [Principal investigator]

1. 2026.1-2029.12: Unveiling the Dynamics of Digital-Intelligent Transformation in Cultural-Tourism Systems: A Complex Adaptive Systems Approach, National Natural Science Foundation of China 2019, Grant No.: 72572153  [Role: Principal investigator]

2. 2025.11-2027.8.30：Theory Construction and Empirical Study on the Evolutionary Dynamics of the Digital-Intelligence–Enabled Cultural and Tourism Industry Complex System, 2026 Zhejiang Provincial Federation of Social Sciences (Grant No.: 2026N021) [Role: Principal investigator]

3. 2026.2-2028.1：A Multi-Dimensional Mechanism Study on How Data Technologies Empower the Evolution of Tourism and Cultural Enterprises’ Dynamic Capabilities and Enhance Performance， Zhejiang University–The Hong Kong Polytechnic University Joint Center, Discipline and Student Development Support Fund （Grant No.:  ZUPUC-2025-04HT）

4. 2022.11-2024.1：Tourism Development and Quality-and-Efficiency Improvement in Small and Medium-Sized Enterprises (SMEs)， Zhejiang University–The Hong Kong Polytechnic University Joint Center, Discipline and Student Development Support Fund （Grant No.:  ZUPUC-2022-01HT）

5. 2020.1-2023.12: A System-Model Based Dynamic Evaluation System of Holistic Tourism Development: The Theoretical Framework and Empirical Study, National Natural Science Foundation of China 2019, Grant No.: 71973126  [Role: Principal investigator]

6. 2021.9-2024.5: Monitoring and Evaluating Digital Cultural and Tourism Consumption, Philosophy and Social Science Planning Project of Zhejiang Province 2021, Grant No.:  22NDJC049YB [Role: Principal investigator]

7. 2019.1-2021.12 : Nowcasting of “Big” Tourism Flows Based on Tourist Behavior Modeling Theory, Zhejiang Province Natural Science Foundation 2019, Grant No.: LY19G030029  [Role: Principal investigator]

8. 2016.1-2018.12 : A Theoretical and Empirical Study of Tourism Demand Combined Forecasting: The Perspective of Bayesian Theory, National Natural Science Foundation of China (Youth Foundation) 2015, Grant No.: 71503231 [Role: Principal Investigator]

9. 2018.5-2018.10: Evaluate the Contribution of Holistic Tourism Industry to Hangzhou, Hangzhou Tourism Commission [Role: Investigator of the sub-project]

10. 2014.1-2017.12 : Combining quantitative and qualitative forecasts in modelling China's international tourism demand, Zhejiang Province Natural Science Foundation (Youth Foundation) 2014, Grant No.: LQ14G010005  [Role: Principal investigator]

11. 2015.1-2015.12 :The application of Bayesian techniques in Delphi forecasts: The case of inbound tourism demand forecasting in China, The Fundamental Research Funds for the Central Universities 2015 [Role: Principal investigator]

12. 2025.11-2026.3 :Shanghai Visitor Arrival Forecasting Consultancy Project 2025 [Role: Principal Investigator]

13. 2024.11-2025.1 :Shanghai Visitor Arrival Forecasting Consultancy Project 2024 [Role: Principal Investigator]

14. 2023.11-2023.12 :Shanghai Visitor Arrival Forecasting Consultancy Project 2023 [Role: Principal Investigator]

15. 2022.11-2022.12 :Shanghai Visitor Arrival Forecasting Consultancy Project 2022 [Role: Principal Investigator]

16. 2021.11-2021.12 : Shanghai Visitor Arrival Forecasting Consultancy Project 2021 [Role: Principal Investigator]

17. 2020.10-2021.1 : Shanghai Visitor Arrival Forecasting Consultancy Project 2020  [Role: Principal Investigator]

18. 2019.9-2019.10 : Shanghai Visitor Arrival Forecasting Consultancy Project 2019  [Role: Principal Investigator]

19. 2018.9-2018.10 : Shanghai Visitor Arrival Forecasting Consultancy Project 2018  [Role: Principal Investigator]

20. 2017.8-2017.10 : Shanghai Visitor Arrival Forecasting Consultancy Project 2017  [Role: Principal Investigator]
    

21. 2016.8-2016.10 : Shanghai Visitor Arrival Forecasting Consultancy Project 2016  [Role: Principal Investigator]

22. 2015.8-2015.10 : Shanghai Visitor Arrival Forecasting Consultancy Project 2015  [Role: Principal Investigator]

Projects [Key project memeber]

1. Asia Pacific Visitor Forecasts 2023-2027， Period: October 2022  - March 2023

2. Asia Pacific Visitor Forecasts 2022-2026， Period: October 2021  - March 2022

3. Asia Pacific Visitor Forecasts 2021-2025， Period: October 2020  - March 2021

4. Asia Pacific Visitor Forecasts 2020-2024， Period: October 2019  - March 2020

5. Asia Pacific Visitor Forecasts 2019-2023， Period: October 2018  - March 2019

6. Asia Pacific Visitor Forecasts 2018-2022， Period: October 2017  - March 2018

7. Asia Pacific Visitor Forecasts 2017-2021， Period: October 2016  - March 2017

8. Asia Pacific Visitor Forecasts 2016-2020， Period: October 2015  - March 2016

9. Asia Pacific Visitor Forecasts 2015-2019，  Period: October 2014 - May 2015， Available at: http://www.patastore.com/asia-pacific-visitor-forecasts-2015-2019/

10. Asia Pacific Visitor Forecasts 2014-2018 (Volume II)， Period: October 2013 – June 2014

    Available at: http://www.patastore.com/asia-pacific-visitor-forecasts-2014-2018/

11. Asia Pacific Visitor Forecasts 2013-2017 (Volume I)， Period: January 2013 – August 2013

12. PolyU Tourist Satisfaction Index and PolyU Service Quality Index (www.touristsatisfaction.org/  ORhttp://hotelschool.shtm.polyu.edu.hk/tsi/welcome/welcome.jsp)
    Period: September 2012 – January 2013 
    

13. The Hong Kong Tourism Demand Forecasting System ( www.tourismforecasting.net)，Period: November 2008 – 
    

14. Development and Maintenance of Tourism Forecasting SIG ( http://tourism.forecastingprinciples.com/)
    Period: June 2009 – 
    The Tourism Forecasting special interest group (SIG), a useful platform for industry managers, practitioners, and researchers concerned with tourism forecasting, offers an overview of the basic concepts and methods of tourism modelling and forecasting, the most popular tourism forecasting methodologies.

期刊论文

 【英文】

1. Qin, Y.,  Li, G., Lin, V. S.* & Wu, D. C. (2026). The asymmetric and nonlinear effects of multi-dimensional distance on international tourism demand. Journal of Travel Research. [Accepted on Feb. 2026] [Output of 72572153 and 2026N021]

2. Zhang, H., Liu, Y., Liu, X., Liu, A., & Lin, V. S.* (2026). Forecasting Chinese Outbound Tourism Recovery. Annals of Tourism Research [A+, SSCI], 116, 104079. https://doi.org/10.1016/j.annals.2025.104079. [Output of 72572153]

3. Lin, V. S., Ren, Y., Ye, S., Ma, S., & Hu, X. (2025). How interactive videos shape travel intentions of generation Z: An extension of presence theory. Journal of Hospitality and Tourism Technology.https://doi.org/10.1108/JHTT-03-2025-0264  [Output of 72572153]
   

4. Liu, A., Qin, Y., & Lin, V. S.  (2025). Local leaders’ promotion pressure and tourism development: Evidence from China. Journal of Travel Research. 64(6), 1464-1479.  https://doi.org/10.1177/00472875241253008.  [Output of 71973126]

5. Lin, V. S., Zhang, X., Ren, Y., Huang, W.-J., & Xiao, H. (2024). Tourists’ value co-creation with service robots: Antecedents and mechanisms. Journal of Hospitality and Tourism Research. 48(6), 949-963. https://doi.org/10.1177/10963480231197091 [Output of grant 22NDJC049YB]

6. Huang, W.-J., Zhang, J., Lin, V. S., & Zhang, X. (2023). Traveling Virtually amid the Pandemic: Antecedents and Moderating Effects of Past Visitation Experience. Asia Pacific Journal of Tourism Research [SSCI], 28(7): 745-762. http://dx.doi.org/10.1080/10941665.2023.2264970. [Output of grant 22NDJC049YB and Grant 71973126]

7. Lin, V. S., Jiang, F. ,  Li, G., &  Qin, Y.(2023). Impacts of Risk Aversion on Tourism Consumption. Annals of Tourism Research [A+, SSCI], 101, 103607. https://doi.org/10.1016/j.annals.2023.103607.  [Output of Grant 71973126].
   

8. Lin, V. S., Qin, Y.,  Li, G., & Jiang, F. (2022). Multiple effects of “distance” on domestic tourism demand. Annals of Tourism Research [A+, SSCI], 95, 103440 https://doi.org/10.1016/j.annals.2022.103440. [Output of Grant 71973126].

9. Liu, A., Lin, V. S.,  Li, G., & Song, H. (2022). Ex-ante Tourism Forecasting Assessment.  Journal of Travel Research [A+, SSCI]. 61(1), 64-75. https://doi.org/10.1177/0047287520974456. 

10. Lin, V. S., Qin, Y., Ying, T., Shen, S., Lyu, G. (2022). Night-time Economy Vitality Index: Framework and Evidence. Tourism Economics [SSCI]. 28(3): 665-691. https://doi.org/10.1177/13548166211042970 [Output of Grant 71973126 and LY19G030029].

11. Yi, X., Fu, X., Lin, V. S., & Xiao, H. (2022). Integrating authenticity, well-being, and memorability in heritage tourism: A two-site investigation. Journal of Travel Research [SSCI]. 61(2), 378-393. https://doi.org/10.1177/0047287520987624 [Output of Grant 71973126 and LY19G030029]

12. Lin, V. S.,  Qin, Y., Li, G., & Wu, J. (2021). Determinants of Chinese households’ tourism consumption: Evidence from China Family Panel Studies.  International Journal of Tourism Research [SSCI], 23,542-554. http://dx.doi.org/10.1002/jtr.2425. [Output of Grant 71973126 and LY19G030029]

13. Lin, V. S. (2019). Judgmental Adjustments in Tourism Forecasting Practice: How Good Are They? Tourism Economics. 25(3), 402-424. https://doi.org/10.1177/1354816618806727.[Output of Grant 71503231]

14. Lin, V. S., Yang, Y., & Li, G. (2019).  Where can tourism-led growth and economic-driven tourism growth occur? Journal of Travel Research. 58(5), 760-773.  http://journals.sagepub.com/doi/full/10.1177/0047287518773919 .[Output of Grant 71503231]

15. Yi, X., Lin, V. S., Jin, W., & Luo, Q. (2017). The authenticity of heritage sites, tourists’ quest for existential authenticity, and destination loyalty. Journal of Travel Research [A+, SSCI]. 56(8), 1032-1048.(http://jtr.sagepub.com/content/early/2016/10/17/0047287516675061.abstract)[Output of Grant 71503231]

16. Lin, V. S., Mao, R., & Song, H. (2015). Tourism expenditure patterns in China. Annals of Tourism Research [A+, SSCI], 54 (September), 100-117. (www.sciencedirect.com/science/article/pii/S016073831500095X) [Output of Grant LQ14G010005]

17. Lin, V. S.,  Liu, A., & Song, H. (2015). Modeling and forecasting China outbound tourism: An econometric approach. Journal of Travel and Tourism Marketing [SSCI], 32(1-2), 34-49. (http://www.tandfonline.com/doi/abs/10.1080/10548408.2014.986011#.VSNuMiuUd8F)  [Output of Grant LQ14G010005]

18. Lin, V. S., & Song, H. (2015). A review of Delphi forecasting research in tourism, Current Issues in Tourism [A, SSCI]. 18(2),1099-1131. http://www.tandfonline.com/eprint/Eew998guzrTYcsetddKS/full).  [Output of Grant LQ14G010005]

19. Lin, V. S.,  Goodwin, P., &  Song, H. (2014). Accuracy and bias of experts' adjusted forecasts. Annals of Tourism Research [A+, SSCI]. 48(September), 156-174.(              http://www.sciencedirect.com/science/article/pii/S0160738314000814)  [Output of Grant LQ14G010005]

20. Jin, T., Lin, S., & Hung, K. (2014). China’s Generation Y’s expectation on outbound group package tour, Asia Pacific Journal of Tourism Research [SSCI],19(6), 617-644. (http://www.tandfonline.com/doi/abs/10.1080/10941665.2013.806939).

21. Lin, S. (2013). Improving forecasting accuracy by combining statistical and judgmental forecasts in tourism. Journal of China Tourism Research, 9(3), 325-352.(www.tandfonline.com/doi/abs/10.1080/10941665.2013.806939#.VeWclvmqpBc)

22. Tukamushaba1, E., Lin, V. S., & Bwire, T. (2013). Modeling and forecasting inbound tourism demand for long-haul markets of Beijing, Journal of China Tourism Research, 9(4), 489-506.(http://www.tandfonline.com/doi/pdf/10.1080/19388160.2013.841505)

23. Song, H. Gao, Z, & Lin, S. (2013). Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system, International Journal of Forecasting [A, SSCI], 29(2), 295-310.  (http://www.sciencedirect.com/science/article/pii/S0169207012000064)

24. Song, H., Gao, Z, Zhang, X., & Lin, S. (2012). A web-based Hong Kong tourism demand forecasting system. International Journal of Networking and Virtual Organizations [EI], 10(3/4), 275-291.(www.inderscienceonline.com/doi/abs/10.1504/IJNVO.2012.046451)

25. Yankholmes, A. K. B., & Lin, S. (2012). Leisure and education in Ghana: An exploratory study of university students’ leisure lifestyles, World Leisure Journal, 54(1), 58-68.(www.tandfonline.com/doi/abs/10.1080/04419057.2012.668044)

26. Song, H., Lin, S., Witt, S. F., & Zhang, X. (2011). Impact of financial/economic crisis on demand for hotel rooms in Hong Kong. Tourism Management [A+, SSCI], 32(1), 172-186.(www.sciencedirect.com/science/article/pii/S0261517710000907)

27. Ayeh, J. & Lin, S. (2011). 'Estimating tomorrow's tourist arrivals: Forecasting the demand for China's tourism using the general-to-specific approach. Tourism and Hospitality Research, 11(3), 203-212.(thr.sagepub.com/content/11/3/197.short)

28. Chon, K., Li, G., Lin, S., & Gao, Z. (2010). Recovery of tourism demand in Hong Kong from the global financial and economic crisis. Journal of China Tourism Research, 6(3), 259-278.(www.tandfonline.com/doi/abs/10.1080/19388160.2010.503916)

29. Song, H, & Lin, S. (2010). Impacts of the financial and economic crisis on tourism in Asia. Journal of Travel Research [A+, SSCI], 49(1), 16-30.(jtr.sagepub.com/content/early/2009/12/03/0047287509353190.short)

30. Song, H., Lin, S., Zhang, X., & Gao, Z. (2010). Global financial/economic crisis and tourist arrival forecasts for Hong Kong. Asia Pacific Journal of Tourism Research [SSCI], 15(2), 223-242. (www.tandfonline.com/doi/abs/10.1080/10941661003687431)

【中文】

1. 林珊珊，谢慧敏，应天煜. (2026). 数智时代文旅行业治理的系统挑战与路径选择. 旅游学刊. 41(3). DOI: 10.19765/j.cnki.1002-5006.2026.03.005 [Output of 72572153]

2. 王媛媛，林珊珊，叶顺，周玲强，任玉婷. (2023). 三元交互视角下民族村寨居民旅游支持行为意愿形成机理. 旅游学刊. 38(4): 26-37. DOI:10.19765/j.cnki.1002-5006.2022.00.022 
   

3. 江帆，林珊珊，应天煜，潘冰，周亚庆. (2022). 中国旅游大数据研究：二十年回顾与展望. 旅游导刊. 6(4): 68-104. Doi:10. 12054/lydk. bisu. 204

Qualifications

[ Academic Qualifications ]

• 2009/06-2013/06: Ph.D, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong SAR

• 2011/05-2011/09: Visiting Ph.D, School of Management, University of Bath, UK

• 2006/09-2008/12: MSc in Economics, School of Statistics, Dongbei University of Finance and Economics, China

• 2002/09-2006/07: BSc in Economics, School of Statistics, Dongbei University of Finance and Economics, China
          

[Professional Qualifications]

• International Institute of Forecasters (IIF) member 

• International Association for Tourism Economics (IATE) member

• Qiushi Scholar, Zhejiang University

[Other Part-time/Professional Appointments]

• Board Member, Zhejiang Leisure Association (2024–present)

• Executive Board Member, Hangzhou Tourism & Leisure Talent Association (2016–present)

• Executive Board Member, Culture and Tourism Branch, China Society for Futures Studies (2024–present)

• Member Representative (Liaison), China Tourism Education Cooperation Alliance (2024–present)

• Core Team Member, Zhejiang University Undergraduate Business Administration Program Team (Student internship coordination, 2019–present)

• Program Director (Undergraduate), Tourism Management, School of Management, Zhejiang University (2016–2021)

• Research Fellow, Zhejiang Provincial Key Think Tank (New Type): Zhejiang Digital Development and Governance Research Center (2024–2026)

• Special Advisor on Culture and Tourism Development, Longquan City (2024–2026)

Other Professional Activities

         Title                                       Journal

2018-2-Present：Associate Editor ，Annals of Tourism Research

2022-12-Present：Editorial Board Member，Tourism Management

2018-11-2026：Editorial Board Member，Journal of Travel Research

2018-2-Present：Editorial Board Member，Journal of Destination Marketing & Management 

2016-01-Present：Editorial Board Member，Asia Pacific Journal of Tourism Research

2016-09-Present：Editorial Board Member，Tourism Review

2017-12-2025：  Editorial Board Member，Tourism Economics

2017-09-2024：Editorial Board Member，Tourism Management Perspectives

2021-09-Present:  Reviewer ，Journal of Sustainable Tourism

2017-09-Present：Reviewer ，International Journal of Hospitality Management

2015-12-Present：Reviewer ，Tourism Economics

2015-09-Present：Reviewer ，Annals of Tourism Research

2015-09-Present：Reviewer ，Current Issues in Tourism

2015-03-Present：Reviewer ，Tourism Management

2014-11-Present：Reviewer ，Big Data Research

2013-10-Present：Reviewer ，Journal of Travel Research

2012-11-Present：Reviewer ，Asia Pacific Journal of Tourism Research

2012-08-Present：Reviewer ，Journal of Travel & Tourism Marketing

2012-06-Present：Reviewer ，Journal of Chinese Economic and Business Studies

2011-08-Present：Reviewer ，Journal of China Tourism Research

Books & Chapters in Books

1. Lin, V. S.(2025). Co-integration. In J. Jafari & H. Xiao (Eds.), Encyclopedia of Tourism (pp. 172-173). Cham: Springer Nature Switzerland. EID: 2-s2.0-105004119649, DOI: 10.1007/978-3-030-74923-1_497

2. Lin, V. S., & Qin, Y. (2022). Judgmental forecasting. In D. C. Wu, G. Li, & H. Song (Eds.), Econometric modelling and forecasting of tourism demand: Methods and applications. London, UK: Routledge.

3. Lin, V. S., Zhang, X., & Qiu, R. T. R. (2022). Theoretical foundations, key concepts, and data description. In D. C. Wu, G. Li, & H. Song (Eds.), Econometric modelling and forecasting of tourism demand: Methods and applications. London, UK: Routledge.

4. Lin, V. S. (2015) Co-integration, tourism, In J. Jafari and H. Xiao (Ed.). Encyclopedia of Tourism. Frankfurt: Springer, DOI 10.1007/978-3-319-01669-6_1-1. [Link: www.springer.com/business+%26+management/marketing/book/978-3-319-01383-1 ]

5. Liu, A., V.S. Lin & H. Song (2018). Analysing and Forecasting Tourism Demand, The SAGE Handbook of Tourism Management, 202-221.

6. Lin, V. S., & Song, H. (2014). Judgment forecasting in tourism, In C. Cooper (Ed.). Contemporary tourism reviews, Oxford: Goodfellow. [Link: http://goodfellowpublishers.com/academic-publishing.php?promoCode=&partnerID=&content=story&storyID=333]

7. Lin, V. S., & Song, H. (2012). A review of qualitative forecasting in tourism, In C. Cooper (Ed.). Contemporary tourism reviews, Oxford: Goodfellow. 

 Conference Papers

1. Lin, V. S., Yang, Y. & Li, G. (2016). Where does tourism-led growth occur? Empirical evidence from China. International Tourism, Hospitality & Events Conference 2016, University of Surrey, UK, July 19-22, 2016.

2. 林珊珊. (2025). 期刊主编面对面（《前行之路：学术发表的五个阶段》），第六届江苏省旅游学会青年分会&第四届青年旅游研究前沿论坛，东南大学人文学院&南京师范大学地理科学学院，江苏南京, 2025年12月14日。
   

3. 林珊珊. (2025). 数智时代文旅治理的范式变革【主旨演讲】,数字经济与旅游产业发展学术年会，广东海洋大学， 广东珠海阳江，2025年11月29日-30日. 

4. Guo, K.,  Liu, A., Lin, V.S., & Song, H. (2025). Government-Facilitated Strategic Alliances in Rural Tourism: Leadership Models and Their Impact on B&Bs’ Development. 30th Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism . University of Houston, Houston, United States, January 4th, 2025.

5. Guo, K.,  Liu, A., Lin, V.S., & Song, H. (2025). B&B Alliance and Rural Tourism Industry Development .  The International Forum on Quantitative Research in Tourism 2025. Zhejiang University, Hangzhou, China, August 10th, 2025.

6. Guo, K.,  Liu, A., Lin, V.S., Song, H., & Zhang, W. (2025). The Impact of Digital Platform Participation on B&B Performance . The 21st Asia Pacific Forum for Graduate Students Research in Tourism. The Hong Kong Polytechnic University, Hong Kong SAR, May 15th, 2025.

7. Jin, Y., Lin, V.S. (2025). Decoding Tourist Expectations: An Exploratory Qualitative Inquiry into the True - to - ideal Authenticity of Virtual Influencers in Tourism. The Asia Pacific Tourism Association Annual Conference 2025. Busan, South Korea, July 8, 2025.

8. Lin, V. S., Ren, Y. (2025). Examining Customer Engagement in Location-Based VR Entertainment: A Gamification Affordance Perspective. The International Forum on Quantitative Research in Tourism 2025. Zhejiang University, Hangzhou, China, August 10, 2025.

9. Lin, V.S., Ren, Y. (2025). Examining Customer Engagement in Location-Based VR Entertainment: A Gamification Affordance Perspective. The Asia Pacific Tourism Association Annual Conference 2025. Busan, South Korea, July 8, 2025.

10. Lin, V.S., Ren, Y., Ma, S. (2025). Market Resilience in P2P Accommodation Markets: A Survival Analysis of Incumbents and New Entrants Established Before and During COVID-19. The Asia Pacific Tourism Association Annual Conference 2025. Busan, South Korea, July 8, 2025.

11. Lin, V. S., Xie, H., Liu, A., & Lin, R. (2025). Influencer Directors and Tourism Demand: The Role of Short Video Marketing in China’s Urban Tourism Economy. the Asia Pacific Tourism Association Annual Conference 2025. Busan, South Korea, July 8, 2025.

12. Lin, V. S., Xie, H., Liu, A., & Lin, R. (2025). Influencer Directors and Tourism Demand: The Role of Short Video Marketing in China’s Urban Tourism Economy. The International Forum on Quantitative Research in Tourism 2025. Zhejiang University, Hangzhou, China, August 10, 2025.

13. Zhang, X. (2025). Hotel employees' perceived service robot support and its impact on  individual performance: Base on the job demand-resource theory. The International Forum on Quantitative Research in Tourism 2025. Zhejiang University, Hangzhou, China, August 10, 2025.
    

14. Guo, K.,  Liu, A., Lin, V.S., Zhang, W., & Kim Y. (2024). The Impact of Entrepreneurs’ Learning Ability on SME’s Recovery from the Pandemic—A longitudinal Study of B&Bs in Zhangjiajie, China. The 9th conference of the International Association for Tourism Economics, University of Central Florida, Orlando, Florida, United States, May 24th, 2024.

15. 林珊珊, 谢慧敏, 刘安禹, 林容容. (2024). 文旅局长”出圈”能否带来城市”破圈”?——一项准自然实验. 《旅游科学》2024年会. 华南理工大学, 广州, 中国, 4月13日, 2024.

16. 金烨华,林珊珊. (2024). “虚拟”也是“真实”：旅游目的地虚拟影响者 理想真实性的质性研究 . 《旅游学刊》2024年会. 华侨大学, 厦门, 中国, 10月26日, 2024.Zhang, X. & Lin, V. S. (2022). Effects of value co-creation on tourists' satisfaction and loyalty. ENTER22 e-Tourism Conference [ZOOM meeting]. Nankai University, Tianjin, China, January 11, 2022.

17. 林珊珊，任玉婷，叶顺，马世罕，胡欣雨. (2024). 互动短视频对Z世代旅游者出游意愿的影响研究——基于临场感的理论视角. 《旅游科学》2024年会. 华南理工大学, 广州, 中国, 4月13日, 2024.

18. 张欣怡, 林珊珊, 叶顺. (2024). 基于社会认知理论的酒店员工与机器人协作研究 ——纵向视角. 《旅游科学》2024年会. 华南理工大学, 广州, 中国, 4月13日, 2024.

19. Lin, V.S., Ren, Y., Ye, S., Ma, S., Hu, X. (2023). How interactive video shapes travel intention of Generation Z: An extension of presence theory.  The Asia Pacific Tourism Association Annual Conference 2023. ChiangMai, Thailand, July 6, 2023. (Poster)

20. Lin, V. S., Zhang, X., Ren, Y., Huang, S., & Xiao, H. (2023). Tourists' value co-creation with service robots. The 29th Asia Pacific Tourism Association (APTA) Annual Conference. Chiang Mai University, Chiang Mai, Thailand, July 3 - July 5, 2023.

21. Zhang, X. & Lin, V. S. (2022). Effects of value co-creation on tourists' satisfaction and loyalty. ENTER22 e-Tourism Conference [ZOOM meeting]. Nankai University, Tianjin, China, January 11, 2022.
    

22. 吴晨光, 李辉, 林珊珊.  (2021). “旅游大数据预测与决策”分论坛[11月14日]联合召集人和主持人. 2021《旅游学刊》中国旅游研究年会. 上海, 中国, 11月11日-14日, 2021.

23.  Jiang, F. & Lin, V. S. (2021). Impact of risk aversion on tourism consumption: a hierarchical age-period-cohort analysis. The 27th Asia Pacific Tourism Association Annual Conference Online Conference. Chiang Mai University, Chiang Mai, Thailand, June 30 - July 2, 2021.

24.  Lin, V. S.，Jiang, F., Ying, T. Y., et al. (2021). Tourism big data research in China: a twenty-year review. Tourism Tribune China Tourism Research Conference 2021. Shanghai, China, 2021 November 11-14, 2021. 江帆, 林珊珊, 应天煜 等. (2021). 中国旅游大数据研究：二十年回顾与展望. 2021《旅游学刊》中国旅游研究年会. 上海, 中国, 11月11日-14日, 2021.

25. Lin, V. S., Qin, Y., & Li, G. (2021). Measuring multiple effects of “distance” on domestic hotel demand: The panel gravity modelling approach. The 27th Asia Pacific Tourism Association (APTA) Annual Conference. Chiang Mai University, Chiang Mai, Thailand, June 30 - July 2, 2021.

26. Qin, Y., & Lin, V. S. (2021). Daily hotel demand forecasting using a hybrid deep learning approach. The 41th International Symposium on Forecasting, University of Virginia, USA, Jun 27–Jun30, 2021.

27. Wang, Y. Y. & Lin, V. S. (2020). A study on the mechanism of residents’ intention to support for tourism: Tiadic Reciprocal Determinism theory Perspective. Tourism Tribune China Tourism Research Conference 2021. Shanghai, China, 2021 November 11-14, 2021. 王媛媛,林珊珊. 三元交互视角下民族村寨旅游居民支持行为意愿形成机制研究. 2021《旅游学刊》中国旅游研究年会. 上海, 中国, 11月11日-14日, 2021.

28. Zhang, X. & Lin, V. S. (2021). Effects of value co-creation on tourists' satisfaction and loyalty. International Federation for IT and Travel & Tourism Talk @Nankai [ZOOM meeting https://surrey-ac.zoom.us/j/96532212743]. Nankai University, Tianjin, China, September 10, 2021. 获得会议最佳论文（Best Proposal）.

29. Wu, J. , & Lin, V. S. (2016).  Determinants of China’s Household Tourism Expenditure: Evidence from the China Family Panel Studies. The 15th Asia Pacific Forum for Graduate Students Research in Tourism. Hong Kong, May 15-18, 2016.

30. Lin, V. S. & Song, H. (2015). An empirical study on judgmental forecasting behaviour in tourism. The 35th International Symposium on Forecasting. Riverside, California, USA, June 21- 24, 2015.

31. Yang, Y., & Lin, V. S. (2015). Where can tourism-led growth occur? Evidence from the Chinese regional data. The Fifth Conference of the International Association for Tourism Economics (IATE 2015) , Hong Kong, June 30- July 3, 2015.

32. Lin, V.S., Mao, R., & Song, H. (2015). Household Expenditure Patterns for Tourism in China. The Fifth Conference of the International Association for Tourism Economics (IATE 2015) , Hong Kong, June 30- July 3, 2015.

33. Lin, S., Goodwin, P. & Song, H. (2014). Accuracy and Unbiasedness of Judgmentally Adjusted Forecasts in Tourism. The 34th International Symposium on Forecasting. Rotterdam, The Netherlands, June 29-July 2.

34. Lin, S. & Song, H. (2014). An empirical study on judgmental forecasting behaviour in tourism, Global Tourism & Hospitality Conference and 11th Asia Tourism Forum, Hong Kong, May 18-20.

35. Lin, S., & Song, H. (2013). Judgmental forecasting in tourism: Experts’ insights. The 33rd International Symposium on Forecasting. Seoul, Korea, June 23-26, 2013.

36. Lin, S., & Song, H. (2012). Improving forecasting accuracy by combining econometric and judgmental forecasts in tourism: The case of Hong Kong. The 32nd International Symposium on Forecasting. Boston, USA, June 24-27, 2012.

37. Song, H., Gao, B., & Lin, S. (2012). Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system. The 32nd International Symposium on Forecasting. Boston, USA, June 24-27, 2012.

38. Lin, S., & Song, H. (2012). Improving forecasting accuracy by combining econometric and judgmental forecasts in tourism: The Case of Hong Kong. The 10th Biennial Conference on Hospitality and Tourism Industry in Asia. Bandung, West-Java, Indonesia, May 8-10.

39. Lin, S., & Song, H. (2011). Improving forecasting accuracy by combining statistical and judgmental forecasts in tourism. The 7th China Tourism Forum. Haikou, Hainan Province, China, October 23-25.

40. Lin, S., & Song, H. (2011). An examination of Delphi forecast accuracy. Proceedings of the 31st International Symposium on Forecasting (p. 38), Prague, Czech Republic. June 26-29.

41. Girardin, E., Lin, S., & Song, H. (2011). Forecasting hotel room rates in Hong Kong, Singapore and Taiwan. Proceedings of the 31st International Symposium on Forecasting (pp. 150-151), Prague, Czech Republic. June 26-29.

42. Song, H., Witt, S. F., & Lin, S. (2010). Forecasting the demand for Hong Kong tourism: The views of experts. 20th Annual Conference of Council for Australian University Tourism and Hospitality Education (CAUTHE). CD Rom (22 pages). 8-11 February 2010, Tasmania, Australia.

43. Bai, X., & Lin, S. (2009). Poverty, income inequality and income growth in rural China: An empirical study using rural household survey data. The 9th China Economics Annual Conference. Hangzhou, Zhejiang Province, China, December 12-13.

44. Girardin, E., Song, H., & Lin, S. (2009). The Law of One Price for hotel rooms: Does it hold in Greater China and is it useful for forecasting? The 29th International Symposium on Forecasting (ISF2009), Hong Kong SAR, China, June 21-24.

45. Lin, S., Song, H., Zhang, X., & Gao, Z. (2009). Global financial crisis and Hong Kong tourism demand forecast. The 29th International Symposium on Forecasting, Hong Kong SAR, China, June 21-24.

46. Gao, Z., Song, H., Zhang, X., & Lin, S. (2009). An advanced web-based tourism demand forecasting system. The 29th International Symposium on Forecasting, Hong Kong SAR, China, June 21-24.

47. Song, H., Lin, S., Zhang, X., & Gao, Z. (2009). Global financial crisis and the forecasts of tourism demand in Hong Kong. The 6th China Tourism Forum. Chengdu, Sichuan Province, China, May 12-13.
            

Consulting and research reports

1. PATA and PolyU (2018). Asia Pacific Visitor Forecasts 2018-2022. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on March, 2018] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report] 

2. PATA and PolyU (2017). Asia Pacific Visitor Forecasts 2017-2021. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on May, 2017] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report] 

3. PATA and PolyU (2016). Asia Pacific Visitor Forecasts 2016-2020. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on May, 2016] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report] Link: https://pata.org/store/publications/asia-pacific-visitor-forecasts-2016-2020/.

4. PATA and PolyU (2015). Asia Pacific Visitor Forecasts 2015-2019. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on May, 2015] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report].Link: http://www.patastore.com/asia-pacific-visitor-forecasts-2015-2019/ [Research Associate]

5.  PATA and PolyU (2014). Asia Pacific Visitor Forecasts 2014-2018. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on June 20, 2014] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report]. Link: http://www.patastore.com/asia-pacific-visitor-forecasts-2014-2018/ [Research Associate]

6. PATA and PolyU (2013). Asia Pacific Visitor Forecasts 2013-2017. Available at: http://www.patastore.com/asia-pacific-visitor-forecasts-2013-2017/. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's School of Hotel and Tourism Management (PolyU). [Project contact person and team leader with the main responsibility of realizing automatic modeling and forecasting procedure via R program, conducting data analysis, and writing final report]. Link: http://www.patastore.com/asia-pacific-visitor-forecasts-2013-2017-digital/

7. Tourist Satisfaction Index and Tourism Service Quality Index. (2013). Tourist Satisfaction Index and Tourism Service Quality Index (http://www.touristsatisfaction.org/). The Hong Kong Polytechnic University. March 2013 (34 pages). [Project assistant].

8. HKTDFS. (2012). Updates of tourist arrival forecasts 2012 – 2020. Hong Kong Tourism Forecasting Report, Vol. 2 (4). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, June 2012 (46 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

9. HKTDFS. (2010b). Tourist arrivals forecasts updates. Hong Kong Tourism Forecasting Report, Vol. 2 (3). The Hong Kong Polytechnic University, December 2010 (24 pages). [Project contact person and research assistant]. [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

10. HKTDFS. (2010a). Tourism in Hong Kong Recovers from the Global Financial/Economic Crisis. Hong Kong Tourism Forecasting Report, Vol. 2 (2). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, March 2010 (31 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

11. HKTDFS. (2009b). Forecasting the Demand for Hong Kong Tourism: The Views of Experts. Hong Kong Tourism Forecasting Report, Vol. 2 (1). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, October 2009 (26 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

12. HKTDFS. (2009a). Global Financial Crisis and Demand for Hotel Rooms in Hong Kong. Hong Kong Tourism Forecasting Report, Vol. 1 (4). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, April 2009 (46 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

13. HKTDFS. (2008). Global Financial Crisis and Hong Kong Tourism Demand. Hong Kong Tourism Forecasting Report Vol. I (3). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, December 2008 (40 Pages). [Research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

 Theses

1. PhD thesis: Lin, S. (2013). Integrating statistical and judgmental tourism demand forecasting approaches: The case of Hong Kong (Supervisor: Prof. Haiyan Song), The Hong Kong Polytechnic University, Retrieved from http://repository.lib.polyu.edu.hk/jspui/handle/10397/6485?mode=full&submit_simple=Show+full+item+record
2. Master thesis: Lin, S. (2008). Measuring and modeling poverty and income inequality in rural China − An empirical study using rural household survey data (Supervisor: Prof. Xuemei Bai, Level: Outstanding Master’s thesis), Dongbei University of Finance and Economics, China
3. Bachelor thesis: Lin, S. (2006).Estimation on the scale of informal employment based on GM (1, 1) model: The case of Liaoning Province, China (Supervisor: Prof. Xuemei Bai, Level: Outstanding Bachelor’s thesis, First Prize Award on The 4th National Thesis Awards for BSc in Statistics), Dongbei University of Finance and Economics, China

Awards

1. Jun 2025: Zhang, H., Liu, Y., Liu, X., Liu, A., Lin, V. S.  (2025). First Runner-Up Prize, Point Forecasting Track, Tourism Forecasting Competition II (Global Tourism Forecasting Competition – Second Prize), International Institute of Forecasters.

2. Nov 2025: Outstanding Class Advisor (College-level), Danyang College, Zhejiang University (AY 2024–2025).

3. 2025: Third Prize (China Division), The 17th Peak Time National Business Simulation Competition & Cesim Elite China Competition; Outstanding Instructor: Shanshan Lin, 2025.

4. 2024: Guo Junfeng & Shanshan Lin, China Graduate Innovation & Practice Series Competitions – 2nd China Graduate Enterprise Management Innovation Competition: Second Prize; Outstanding Instructor, 2024.

5. Dec 2024: Supporting Xitou Village, Longquan City to be selected as “Best Tourism Villages” (UNWTO) (Wu Maoying, Chen Jian, Ying Tianyu, Yang Zheshuai, Zhao Song, Li Yi, Wang Longjie, Zhou Yongguang, Huang Liuying, Shanshan Lin, Xu Yaying). Innovative Case of the 2024 “Social Sciences Empowering High-Quality Development in Mountainous & Island Counties” Initiative, Zhejiang Federation of Humanities and Social Sciences Associations.

6. Dec 2023: Half Mountain, Half Water—A New Look; Half Farming, Half Reading—A New Symphony: An Analysis of the Industrial Evolution Path Behind Dongheng Village’s Poetic Transformation (Shanshan Lin, Ren Yuting, Huang Liuying, Tan Xiaoyuan, Ma Shihan, Ye Shun, Ying Tianyu). Zhejiang Provincial Outstanding Graduate Teaching Case, Zhejiang Graduate Education Association.

7. Dec 2023: Breaking Through with a Bottle of Water: Lishui’s Path to Realizing the Value of Ecological Products (Ma Shihan, Wang Kaiyun, Ye Shun, Huang Liuying, Ying Tianyu, Shanshan Lin). Zhejiang Provincial Outstanding Graduate Teaching Case, Zhejiang Graduate Education Association.

8. Dec 2023: Muya Village: Young Entrepreneurs’ Dreams in the Mountains (Huang Liuying, Tang Jingyi, Ying Tianyu, Ye Shun, Shanshan Lin, Ma Shihan). Zhejiang Provincial Outstanding Graduate Teaching Case, Zhejiang Graduate Education Association.

9. Dec 2023: A Path Through the “Book Mountain” via “Integration”: Jingshan Academy and an Alternative Practice of Revitalizing Rural Culture (Ying Tianyu, Zhou Sixiao, Huang Liuying, Wang Hongxing, Ye Shun, Ma Shihan, Tan Xiaoyuan, Shanshan Lin). Zhejiang Provincial Outstanding Graduate Teaching Case, Zhejiang Graduate Education Association.

10. Dec 2023: From “Villagers” to “Community”: How Lianzhong Culture & Tourism Group Builds a “Rural Community” (Ye Shun, Li Qin, Ma Shihan, Huang Liuying, Shanshan Lin, Zhou Yongguang, Ying Tianyu). Zhejiang Provincial Outstanding Graduate Teaching Case, Zhejiang Graduate Education Association.

11. Sep 2022: Zhejiang Night-time Culture & Tourism Consumption Index Research Series Report. First Prize (Research Report), 2022 Outstanding Research Achievements in Culture and Tourism, China Tourism Academy (Data Center of the Ministry of Culture and Tourism).

12. Nov 2021: Zhejiang Night-time Economy Index Series Research (Team members: Ying Tianyu, Shanshan Lin, Ye Shun, Huang Liuying, et al.). Youth Award, 21st Zhejiang Provincial Outstanding Achievement Award in Philosophy and Social Sciences (Applied Policy Research & Science Popularization Category), Zhejiang Federation of Humanities and Social Sciences Associations.

13. Dec 2020: Outstanding Class Advisor, Zhejiang University (AY 2019–2020).

14. Nov 2016: Outstanding Class Advisor, Zhejiang University (AY 2015–2016).

15. 201603: The 2nd Runner-up Award, Undergraduate Student Best Research Paper Award, granted by the 15th Asia Pacific Forum for Graduate Students Research in Tourism, "Determinants of China’s Household Tourism Expenditure: Evidence from the China Family Panel Studies” (Jinsong Wu and Shanshan Lin)

16. 2014: Qiushi Young Scholar, Zhejiang University 

17. 201306: The International Symposium on Forecasting (ISF) 2013 Travel Award, granted by the ISF 2013 committee

18. 201301: Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system, Second place in the Journal Paper of the Year Award (IFITT Awards 2013), granted by IFITT @ENTER2013 Prizes and Awards

19. 200901: Estimation on the scale of informal employment based on GM(1, 1) model: The case of Liaoning Province, China, First Prize Award on The 4^th National Thesis Awards for BSc in Statistics, granted by The national statistics professional dissertation committee office

ORCID: https://orcid.org/0000-0003-4434-3729

Twitter: hmvera (https://twitter.com/hmvera)

Linkedin: http://www.linkedin.com/pub/vera-shanshan-lin/15/895/95

Research Gate: https://www.researchgate.net/profile/Vera_Shanshan_LIN/

PhD Dissertation Supervision

Sep 2019–present (Full-time PhD students)

• Cohort 2018: Qin Yuan (graduated Jun 2024)

• Cohort 2019: Jiang Fan

• Cohort 2020: Zhang Xinyi (graduated Dec 2025)

• Cohort 2021: Ren Yuting

• Cohort 2022: Guo Kexin

• Cohort 2022: Jin Yehua

• Cohort 2022: Xie Huimin

Undergraduate Thesis Supervision

Oct 2025–Jun 2026 (Cohort 2020, Business Administration)

1. Cai Binqian

2. Cao Huien

3. Lin Qingchuan

4. Meng Jinzhu

5. Tang Jinwen

Oct 2024–Jun 2025 (Cohort 2021, Business Administration)

• Jiang Linke

• Liu Chang

• Shu Kexin

• Wang Andi

• Yang Ziyou

Oct 2023–Jun 2024 (Cohort 2020, Business Administration)

1. Wang Mengyu: The Impact of Service Robots on Hotel Employees’ Performance: A Social Cognitive Theory Perspective

2. Lu Ying

3. Zhang Nanxi

4. Xu Yishan

Oct 2022–Jun 2023 (Cohort 2019, Business Administration)

1. Chen Huilin: How Tourism Risk Perception Influences Gen Z’s Outbound Travel Intention in China (Outstanding Undergraduate Thesis, Business Administration)

2. Fang Zhiyun: Attitudes Toward and Adoption Intention of the Digital RMB

3. Huang Shida: Determinants of Digital Collectibles Purchase Intention: Evidence from China’s Gen Z

4. Ruan Yuxiao: Determinants of Intention to Use Hotel Service Robots

Oct 2021–Jun 2022 (Cohort 2018, Business Administration)

1. Cheng Xiayu: How Influencer Characteristics Affect Gen Z Tourists’ Purchase Intention

2. Hu Xinyu: How Interactive Short-Video Marketing Influences Gen Z’s Travel Intention (Outstanding Undergraduate Thesis, Business Administration)

3. Li Xiaomeng: Luxury Hotel Employees’ Attitudes Toward Service Robots and Their Usage Intention

4. Wang Ziyi: Factors Influencing High-End Hotel Customers’ Acceptance and Usage Intention of Service Robots

Oct 2020–Jun 2021 (Cohort 2017, Tourism Management)

1. Xia Yidan: Perceived Risk and Travel Intention Among Young Tourists in the Post-Pandemic Era

2. Wang Jianqin: Wealth and Subjective Well-Being: The Mediating Role of Tourism Consumption

3. Park Jeonghyeon: Determinants of Travel Intention Among Korean Residents Under COVID-19 Normalization

Oct 2019–Jun 2020 (Cohort 2016, Tourism Management)

• Wang Shengye: Distance and Domestic Tourism Demand: Evidence from OTA Inbound-to-Hangzhou Tourism Data

• Liu Zhiyun: Domestic Tourism Consumption Behavior: An OTA Data Study in Hangzhou

• Huang Zhengyou: Short Videos and College Students’ Intention to Purchase Tourism Products: The Case of Douyin

• Choi Ninggyu: Perceived Value of Short Videos and Post-90s College Students’ Tourism Purchase Intention: A TAM-Based Study (Douyin)

Oct 2018–Jun 2019 (Cohort 2015, Tourism Management / Human Resource Management)

• Guo Hanyu: Tourist Consumption Patterns in Hangzhou

• Jiang Fan: Senior Tourists’ Behavioral Characteristics in Hangzhou Based on Online OTA Data

• Liu Peiyi: Determinants of Domestic Tourists’ Consumption: Evidence from Hangzhou

• Xu Rong (Cohort 2015, Human Resource Management): Heterogeneity in Returns to Human Capital in China: Evidence from CFPS

Oct 2017–Jun 2018 (Cohort 2014, Tourism Management)

1. Wang Lubin: Extracting Themes from Online Reviews via Content Analysis: Hotels in Hangzhou (3–5 Star) as an Example

2. Ge Mingyu: Household Tourism Consumption Characteristics in China: Evidence from Household Survey Data

3. He Xuefei: Modeling and Forecasting Domestic Tourism Demand in Hainan Province

4. Ma Jiaxin: Demand for Cycling Leisure Tourism: A Sharing Economy Perspective

Oct 2015–Jun 2016 (Cohort 2012, Tourism Management)

• Wu Jinsong: Determinants of Household Tourism Consumption in China: Evidence from CFPS

• Huang Yong: Modeling and Forecasting Provincial Domestic Tourism Demand in China: An ARIMAX-Based Study

• Wang Siyi: Economic Growth and Tourism Development in China

• Hou Yunyuo: Air Pollution and Its Impacts on Domestic and Inbound Tourism Demand in China

Oct 2014–Jun 2015 (Cohort 2011, Tourism Management)

• Ren Hang: Perceptions and Management of Online Guest Reviews: Insights from Senior Executives of High-End Hotels in China

• Song Huanhuan: Perceptions and Management of Online Guest Reviews

• Wang Yuting: The Role of Social Network Media in Online Travel Information Search: WeChat Use Among Post-90s Chinese College Students

• Zhou Le: The Impact of WeChat Marketing on Online Hotel Booking Among China’s Post-80s and Post-90s Consumers

• Ma Mudi: Air Pollution and Inbound Tourism Demand in China: An Empirical Study

Student Research Projects (Undergraduate Research Training)

• 2023–2024, SQTP (Qiushi College, Lantian College): “Young People, You Really Know How to Live” — A Market Research Study Based on University Students’ Consumption (Student team: Chen Jinghuan et al.)

• 2021–2022, SRTP (School-level, School of Management, Zhejiang University; 24th round): Transformation of Traditional Property Service Firms in the Context of Digitalization (Student team: Tao Huiziyu, Feng Yu, Sui Ke)

• 2014–2015, SRTP (School-level, School of Management, Zhejiang University; 17th round): How WeChat Marketing Influences Consumers’ Online Hotel Booking Decisions: Evidence from Post-80s and Post-90s Tourists (Student team: Wang Siyi, Xu Wen, Wu Shuangyi) (Outstanding Project)

• 2014–2015, SQTP (School of Management, Zhejiang University): Wine Culture & Application and Social Etiquette Enhancement Program (Student team: Kong Xianglankun et al.)

• 2015, School of Management, Zhejiang University (Hong Kong Exchange Program): Improving the Quality of Outbound Study Tours Based on Perceived Value: Evidence from the ZJU SOM 2015 Hong Kong Study Tour (Student team: Hou Yunyuo et al.)