马世罕
时间:2024-04-23 15:59 来源: 作者: 点击:次
个人简介 马世罕博士现任浙江大学管理学院百人计划研究员，博士生导师。主要研究方向为社交媒体和数字营销、文旅数字化技术运用、文旅大数据分析、旅游规划与开发，先后主持或参与国家自然科学基金、美国国家自然科学基金、美国工程部及佛罗里达交通局基金等海内外机构资助的研究课题，并为包括浙江省文旅厅、阿勒泰市、东营市、洛阳市、美国佛罗里达旅游局等多个国内外政府部门与机构提供研究、规划与咨询服务，拥有丰富的课题和项目经验。在旅游领域顶刊Annals of Tourism Research，Tourism Management、Journal of Travel Research等发表论文10余篇，会议论文近二十篇，研究成果曾获2022年文化和旅游优秀研究成果一等奖、ENTER2021最佳论文奖、ENTER2020数据科学竞赛一等奖等，相关决策建议报告获得教育部和中共中央办公厅采纳。工作经历 2021 -至今 百人计划研究员，浙江大学管理学院 旅游与酒店管理学系2016 - 2020 研究助理，佛罗里达大学 旅游酒店与节事管理学系2015 - 2016 旅游策划总监 ，上海金翅鸟文化旅游发展有限公司2013 - 2015 旅游咨询规划师，阿特金斯（ATKINS）上海分公司教育经历2016 - 2020 美国佛罗里达大学，旅游酒店与节事管理，博士2010 - 2013 北京大学，城市与区域规划（旅游规划），硕士 2006 - 2010 复旦大学，旅游管理，学士 研究与成果 期刊论文（*代表通讯作者）Ying, T., Zhou, B., Ye, S., Ma, S.*, & Tan, X. (2024). Oops, the price changed! Examining tourists’ attribution patterns and blame towards pricing dynamics. Tourism Management, 103(104890), 104890 (A+, SSCI Q1; IF=12.7).Wu, M.-Y., Wang, Y., Li, Q., Wu, X., & Ma, S. (2023). The Community Social Responsibility of Rural Small Tourism Enterprises: Scale Development and Validation. Journal of Travel Research, 00472875231204183 (A+, SSCI Q1; IF=10.982).Li, X., Ma, S.*, & Wu, M. (2023). What makes social media branding more effective in shaping pre-visit image: Information quality or source credibility? Tourism Management Perspectives, 46, 101084. https://doi.org/10.1016/j.tmp.2023.101084 (SSCI Q1; IF=7.608)Wu, L., Liu, S. Q., Ma, S.*, & Hanks, L. (2022). Platform-centric vs. multi-party service failure: an examination of consumers’ negative word of mouth about sharing economy platforms. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-12-2021-1559 (A+, SSCI Q1; IF=6.514).Wu, L., Yang, W., Gao, Y., & Ma, S.*. (2022). Feeling Luxe: A Topic Modeling × Emotion Detection Analysis of Luxury Hotel Experiences. Journal of Hospitality & Tourism Research, https://doi.org/10.1177/10963480221103222 (SSCI Q1; IF=5.161).Li, Y., Li, Y., Li, J., Ma, S., & Gao, P. (2022). Tourism demand forecasting from the perspective of mobility: a brand-new predictive variable generated from intercity population mobility big data. Asia Pacific Journal of Tourism Research. https://doi.org/10.1080/10941665.2022.2091941 (SSCI Q2; IF=4.074).Xue, L., Leung, X. Y., & Ma, S.*. (2022). What makes a good “guest”: Evidence from Airbnb hosts’ reviews. Annals of Tourism Research. http://dx.doi.org/10.1016/j.annals.2022.103426 (A+, SSCI Q1; IF=12.853).Kirilenko, A, Ma, S., Stepchenkova, S. O., Su, L., & Waddell, T. F. (2021). Detecting Early Signs of Overtourism: Bringing Together Indicators of Tourism Development With Data Fusion. Journal of Travel Research, https://doi.org/10.1177/00472875211064635 (A+, SSCI Q1; IF=10.982).Ma, S.*, Kirilenko, A., and Stepchenkova, S. (2020). Special interest tourism is not so special after all: Big data evidence from the 2017 Great American Solar Eclipse. Tourism Management. 77, 104021. http://dx.doi.org/10.1016/j.tourman.2019.104021 (A+, SSCI Q1; IF=10.967).Ma, S.*, and Kirilenko, A. (2020). Climate change and tourism in English language newspaper publications. Journal of Travel Research, 59 (2): 352-366. https://doi.org/10.1177/0047287519839157 (A+, SSCI Q1; 2021 IF=10.982).Ma, S.*, & Kirilenko, A. P. (2020). Automated identification of tourist activities in social media photographs: A comparative analysis using visual-based, textual-based and joint-based methods. E-review of Tourism Research, 17(4).Liang, Y., Kirilenko, A.*, Stepchenkova, S., and Ma, S. (2019). Using social media to discover unwanted behaviors displayed by visitors to nature parks: comparisons of nationally and privately-owned parks in the Greater Kruger National Park, South Africa. Tourism Recreation Research, 45(2): 271-276. 王锴云, 何宗威, 赵晓优, 马世罕, 叶顺, & 应天煜. (2023). 共享住宿场景下旅游者难忘体验的形成路径研究 旅游导刊, 7(5), 23–42.马世罕, 戴林琳*, 吴必虎. (2012). 北京郊区乡村旅游季节性特征及其影响因素. 地理科学进展, 31(6), 817-824.书籍/Proceedings章节Xu Y., Ma S., Li X. (2022). A Framework of Resilience for Peer-to-Peer Accommodation Hosts Under COVID-19. In: Stienmetz J.L., Ferrer-Rosell B., Massimo D. (eds) Information and Communication Technologies in Tourism 2022. Springer, Cham. Ma S., & Kirilenko, A. (2021). How reliable is social media data? Validation of TripAdvisor tourism visitations using independent data sources. In Information and Communication Technologies in Tourism 2021 (pp. 286-293). Springer, Cham.马世罕. (2012). 城市游憩与旅游功能组织. // 吴必虎, 丛丽等编. 多途径城市化 (pp. 149-157). 中国建筑工业出版社.科研项目国家自然科学基金青年项目，72202208，消费者视角下旅游目的地适应气候变化的市场策略研究：基于多源社交媒体的大数据分析，2023-2025（在研），主持EFTI基金，Economic and Social Value of Tourism Industry for Florida Communities: Objective Measures and Local Perceptions, 2020，子课题负责佛罗里达州交通局基金项目，Identification of tourist flows in Florida to support development of tourist travel module for Transportation Model，2019-2020，子课题负责美国陆军工程兵部队基金，Feasibility of using social media and mobile phone data to evaluate public attitudes toward recreation areas，2017-2018，参与美国国家自然科学基金，Public discourse on climate change in social media and newspapers，2016-2017，子项目参与国家自然科学基金面上项目，41271151，城郊旅游综合体形成机制与发展模式研究, 2012-2013，参与国家自然科学基金青年项目，40801048，事件及事件旅游（E&ET）作用下的京郊村镇空间、文化及经济响应研究，2010-2011，参与会议报告/论文Kirilenko, A., Ma, S., Stepchenkova, S., and Su, L. (2022). Are we facing hidden overtourism? The 29th Annual International eTourism Conference (ENTER 2022), January 12-14, 2022(virtually held)Xu Y., Ma S., Li X. (2022). A Framework of Resilience for Peer-to-Peer Accommodation Hosts Under COVID-19. The 29th Annual International eTourism Conference (ENTER 2022), January 12-14, 2022(virtually held)Ma, S., and Kirilenko, A. (2021). How reliable is social media data? Validation of TripAdvisor tourism visitations using independent data sources. The 28th Annual International eTourism Conference (ENTER 2021), January 19-22, 2021 (virtually held).Kirilenko, A., Ma, S., Stepchenkova, S., and Su, L. (2021). Investigating tourism destination water consumption and wastewater implementation. The 28th Annual International eTourism Conference (ENTER 2021), January 19-22, 2021 (virtually held).Ma, S., and Kirilenko, A. (2020). Review of tourism-oriented travel flows based on social media: reliability and validation. American Association of Geographers Annual Meeting (AAG 2020), April 6-10, 2019. Denver, USA (virtually held).Ma, S., and Kirilenko, A. (2020). Automated identification of tourist activities in social media photographs: a comparative analysis using visual-based, textual-based and joint-based methods. The 27th Annual International eTourism Conference (ENTER 2020), January 8-10, 2020. Guildford, UK.Ma, S., and Kirilenko, A. (2019). Usage of Social Media to Track Tourist Origin and Spatial Movement during 2017 Solar Eclipse. TTRA Annual International Conference (TTRA 2019), June 26-28, 2018. Melbourne, Australia.Ma, S., and Kirilenko, A. (2019). Spatial Movement and Travel Network in Astro-Tourism: Evidence from Social Media during 2017 Eclipse. American Association of Geographers Annual Meeting (AAG 2019), April 3-7, 2019. Washington, DC, USA.Ma, S., and Kirilenko, A. (2018). Identify Tourist Activities and Spatial Distributions from Geotagged Instagram Photos. TTRA Annual International Conference (TTRA 2018), June 26-28, 2018. Miami, USAMa, S., and Kirilenko, A. (2018). Integration of social media from multiple platforms for destination research. American Association of Geographers Annual Meeting (AAG 2018), April 9-14, 2018. New Orleans, LA, USAKirilenko, A., and Ma, S. (2017). Climate Change and Tourism in English Language Newspaper Publications. 7th Advances in Hospitality & Tourism Marketing and Management (AHTMM) Conference, July 10-15, 2017. Famagusta, Cyprus. 教学与课程 正在讲授：管理统计（英文），博士生管理统计，本科生管理沟通，本科生曾经讲授：HLP6515 Evaluation Procedures 数据统计基础，本科生、研究生（佛罗里达大学）LEI4880 Research Methods in Tourism 旅游研究方法，本科生（佛罗里达大学）LEI6931 Introduction of Data Mining with Social Data 数据挖掘，研究生（佛罗里达大学） |