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林珊珊博士,浙江大学管理学院旅游管理系,副教授,博士生导师,她的研究主要发表在旅游学术界顶刊《旅游研究记事》(Annals of Tourism Research),《旅游管理》(Tourism Management)、《旅行研究》(Journal of Travel Research)和预测领域顶刊《国际预测期刊》(International Journal of Forecasting)等。主持或参与国际、国家级和省部级多个科研项目(以旅游需求建模和预测为主要研究目标),曾参与过亚太旅游协会(Pacific Asia Travel Association,PATA)、香港旅游事务署(Tourism Commission,Commerce and Economic Development Bureau)、香港旅游发展局(Hong Kong Tourism Board)、香港海洋公园、香港迪斯尼公园等多项国际咨询项目。 工作经历 2015/12-至今:副教授,浙江大学管理学院旅游与酒店管理学系 2013/07-2015/12:讲师,浙江大学管理学院旅游与酒店管理学系 2014/10-2015/01:访问学者,香港理工大学酒店及旅游业管理学院 2012/09-2013/06:高级研究助理,香港理工大学酒店及旅游业管理学院 2008/11-2009/06:研究助理,香港理工大学酒店及旅游业管理学院 教育经历 2009/06-2013/06:香港理工大学酒店及旅游业管理学院博士 2011/05-2011/09:英国巴斯大学访问博士 2006/09-2008/12:中国东北财经大学统计学院硕士(经济学) 2002/09-2006/07:中国东北财经大学统计学院学士(经济学) 教学与课程 博士生课程: 管理统计(Managerial Statistics)(全英文) 旅游经济学(Tourism Economics)(全英文) D.HTM课程(香港理工大学-浙江大学联合博士项目): 酒店与旅游管理定量研究方法(Quantitative Research Methods for Hotel and Tourism Management)http://www.zju-polyucenter.org/html/20141028111287.html 本科课程: 管理统计(Managerial Statistics)(本科必修课) MBA课程: 商务统计 概率论(公开课地址:http://sommis.zju.edu.cn:85/open) 科研 (一)主持项目 2020.1-2023.12:基于系统模型的全域旅游动态监测评价体系的理论框架与实证研究,2019年国家自然科学基金面上项目(项目批准号:71973126)[在研] 2019.1-2021.12:基于行为主义理论的旅游大数据现时预测研究,2019年度浙江省自然科学基金一般项目(项目批准号:LY19G030029)[在研] 2018.1-2020.12:基于LDA主题发现模型的在线点评数据分析,2017年浙江大学文科教师教学科研发展专项[在研] 2016.1-2018.12:旅游需求组合预测的理论研究和实证检验——基于贝叶斯理论的视角,2015年国家自然科学基金青年项目(项目批准号:71503231)[已结项] 2018.5-2018.10:全域旅游运行监测项目,企事业单位委托研究项目[子课题负责人][已结项] 2014.1-2017.12:中国入境旅游需求的定量和定性组合预测模型的实证研究,2014年度浙江省自然科学基金青年项目(项目批准号:LQ14G010005)[已结项] 2015.1-2015.12:基于贝叶斯框架的德尔菲预测的实证研究——以中国入境旅游需求预测为例(The application of Bayesian techniques in Delphi forecasts:The case of inbound tourism demand forecasting in China),浙江大学中央基本科研业务费专项资金(2015)[已结项] 2020.10-2020.11:Shanghai Visitor Arrival Forecasting Consultancy Project 2020(上海访客预测咨询项目)企事业单位委托研究项目[在研] 2019.9-2019.11:Shanghai Visitor Arrival Forecasting Consultancy Project 2019(上海访客预测咨询项目)企事业单位委托研究项目[已结项] 2018.9-2018.10:Shanghai Visitor Arrival Forecasting Consultancy Project 2018(上海访客预测咨询项目)企事业单位委托研究项目[已结项] 2017.8-2017.10:Shanghai Visitor Arrival Forecasting Consultancy Project 2017(上海访客预测咨询项目)企事业单位委托研究项目[已结项] 2016.8-2016.10:Shanghai Visitor Arrival Forecasting Consultancy Project 2016(上海访客预测咨询项目)企事业单位委托研究项目[已结项] 2015.8-2015.10:Shanghai Visitor Arrival Forecasting Consultancy Project 2015(上海访客预测咨询项目)企事业单位委托研究项目[已结项] (二)参与项目 2019.1-2021.12:P2P情境下用户生成内容可信度及影响机制研究:以在线短租为例,国家自然科学基金青年项目(项目批准号:71802179)[参与人,2/6] 2017.1-2019.12:创新公共服务方式背景下旅游公共营销协同创新机制及其绩效评价,国家社会科学基金青年项目(项目批准号:16CJY061)[参与人,3/6] 1.Asia Pacific Visitor Forecasts 2021-2025亚太旅游地区访客预测2020-2024年 October 2020-March 2021 2.Asia Pacific Visitor Forecasts 2020-2024亚太旅游地区访客预测2020-2024年 October 2019-March 2020 3 Asia Pacific Visitor Forecasts 2019-2023亚太旅游地区访客预测2019-2023年 October 2018-March 2019 4.Asia Pacific Visitor Forecasts 2018-2022亚太旅游地区访客预测2018-2022年 October 2017-March 2018 5.Asia Pacific Visitor Forecasts 2017-2021亚太旅游地区访客预测2017-2021年 October 2016-March 2017 6.Asia Pacific Visitor Forecasts 2016-2020亚太旅游地区访客预测2016-2020年 September 2015-March 2016 7.Asia Pacific Visitor Forecasts 2015-2019亚太旅游地区访客预测2015-2019年 October 2014-May 2015(http://www.patastore.com/asia-pacific-visitor-forecasts-2015-2019/) 8.Asia Pacific Visitor Forecasts 2014-2018亚太旅游地区访客预测2014-2018年 October 2013–June 2014(http://www.patastore.com/asia-pacific-visitor-forecasts-2014-2018/) 9.Asia Pacific Visitor Forecasts 2013-2017亚太旅游地区访客预测2013-2017年 January 2013–August 2013(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)released their joint publication,the Asia Pacific Visitor Forecasts 2013-2017,April 25,2013.The new forecasts on the complete visitor economy will make it easier for tourism organisations to anticipate demand trends and manage supply. Source:http://www.pata.org 10.PolyU Tourist Satisfaction Index and PolyU Service Quality Index香港理工大学游客满意度指数和服务质量指数(www.touristsatisfaction.org/OR http://hotelschool.shtm.polyu.edu.hk/tsi/welcome/welcome.jsp) September 2012–January 2013 The PolyU TSI evaluates the satisfaction levels of Hong Kong inbound tourists across six tourism-related sectors and integrates them into an overall index.The six tourism related sectors in Hong Kong evaluated by PolyU TSI are(1)attractions,(2)hotels,(3)immigration services,(4)restaurants,(5)retail shops,and(6)transportation.Since its launch in 2009,this innovative project has created a comprehensive system to provide authorities and industry personnel with much needed information for decision making and planning. 11.The Hong Kong Tourism Demand Forecasting System香港理工大学旅游需求预测系统(www.tourismforecasting.net) Period:November 2008–Present It is a web-based tourism demand forecasting system(TDFS)that is designed to forecast the demand for Hong Kong tourism,as measured by tourist arrivals,total and sectoral tourist expenditures,and the demand for hotel rooms. 12.Development and Maintenance of Tourism Forecasting SIG(http://tourism.forecastingprinciples.com/) Period:June 2009–Present 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. 出版著作 出版书籍(章节) Lin,V.S.,&Song,H.(2014).Judgmental 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] Lin,V.S.,&Song,H.(2012).A review of qualitative forecasting in tourism,In C.Cooper(Ed.).Contemporary tourism reviews,Oxford:Goodfellow. 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] Liu,A.,V.S.Lin&H.Song(2018).Analysing and Forecasting Tourism Demand,The SAGE Handbook of Tourism Management,202-221. 奖励/荣誉 2020年12月:浙江大学2019-2020学年优秀班主任 2016年3月:本科生优秀论文三等奖,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(作者:武靳淞,林珊珊) 2014年10月:浙江大学求是学院优秀班主任,浙江大学优秀班主任 2014年1月:浙江大学求是青年学者 2013年6月:The International Symposium on Forecasting(ISF)2013 Travel Award,granted by the ISF 2013会议委员会 2013年1年: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 2009年6月-2012年6月:博士奖学金,香港理工大学 2009年1月:基于GM(1,1)模型的城镇非正规就业规模估测,第四届全国统计学专业学位论文一等奖(学士学位论文),第四届全国统计学专业学位论文评奖委员会办公室 国际学术会议 Lin,V.S.,Yang,Y.&Li,G.(2016).Where does tourism-led growth occur?Empirical evidence from China.International Tourism,Hospitality&Events Conference,University of Surrey,UK,July 19-22,2016. 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. 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. 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. 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. 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 2,2014. 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. Lin,S.,&Song,H.(2013).Judgmental forecasting in tourism:Experts’insights.The 33rd International Symposium on Forecasting.Seoul,Korea,June 23-26,2013. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 指导学生论文/项目 博士论文 2019.9-(在读的博士生) 江帆 张欣怡 本科论文 2019.10-2020.5(2016级旅游管理): 王胜叶:距离对国内旅游需求的影响——基于OTA来杭旅游数据的实证分析 刘芷云:国内旅游消费行为特征分析基于OTA数据的杭州 黄晸佑:短视频对大学生旅游产品购买意图的影响:以抖音为例 崔宁圭:基于TAM模型的短视频感知价值对90后大学生旅游购买意愿的影响:以抖音为例 2018.10-2019.5(2015级旅游管理): 郭涵雨:杭州游客消费特征分析 江帆:基于在线OTA数据的杭州老年群体游客行为特征分析 刘佩仪:国内游客旅游消费影响因素分析——以杭州为例 徐融(2015级人力资源管理):基于CFPS的中国人力资本回报率差异研究 2017.10-2018.5(2014级旅游管理): 1.王露彬,基于内容分析法提取在线评论主题——以杭州三星级至五星级酒店为例 2.葛鸣宇,基于家庭住户调查数据的中国家庭旅游消费特征研究 3.贺雪菲,海南省国内旅游需求的建模和预测研究 4.马嘉欣,骑行休闲旅游需求研究:基于共享经济的视角 2015.10-2016.5(2012级旅游管理): 武靳淞,中国家庭旅游消费的影响因素分析——基于CFPS数据的实证分析 黄勇,中国分省市国内旅游需求的建模与预测——基于ARIMAX模型的实证分析 王思艺,中国经济增长与旅游发展的关系研究 侯昀佑,空气污染对中国国内游和入境游的影响分析 2014.10-2015.5(2011级旅游管理): 任航,在线宾客评论感知与管理实践研究——基于中国高星级酒店高管视角的分析 宋欢欢,在线宾客评论感知与管理实践研究 王宇婷,社交网络媒体在在线旅游信息搜索中的作用——以我国90后大学生的微信使用情况为例 周乐,微信营销对中国80、90后消费者在线酒店预订的影响 马牧笛,空气污染对我国入境旅游需求影响的实证研究 学生科研项目 浙江大学管理学院院系级第十七期SRTP学生立项,《微信营销对消费者的在线酒店预订决策的影响研究——以80、90后游客为例》,2014-2015,学生成员:王思艺、徐文、吴双熠,优秀 浙江大学管理学院学生素质训练计划(SQTP)项目,《红酒文化及应用&社交礼仪提升计划》,2014-2015,学生成员:孔祥兰坤等 浙江大学管理学院香港交流项目,《基于感知价值的出境游学质量提升研究——以浙大管院2015香港游学项目为例》,2015,学生成员:侯昀佑等。 研究及咨询报告 PATA and PolyU(2017).Asia Pacific Visitor Forecasts 2017-2021.亚太旅游协会(PATA)和香港理工大学酒店及旅游业管理学院(PolyU)合作项目[项目主要参与人] PATA and PolyU(2016).Asia Pacific Visitor Forecasts 2016-2020.亚太旅游协会(PATA)和香港理工大学酒店及旅游业管理学院(PolyU)合作项目[项目主要参与人,负责模型的自动化编程实现的改进,报告撰写[https://pata.org/store/publications/asia-pacific-visitor-forecasts-2016-2020/]. PATA and PolyU(2015).Asia Pacific Visitor Forecasts 2015-2019.亚太旅游协会(PATA)和香港理工大学酒店及旅游业管理学院(PolyU)合作项目[项目主要参与人,负责模型的自动化编程实现的改进,报告撰写[链接:http://www.patastore.com/asia-pacific-visitor-forecasts-2015-2019/] PATA and PolyU(2014).Asia Pacific Visitor Forecasts 2014-2018.亚太旅游协会(PATA)和香港理工大学酒店及旅游业管理学院(PolyU)合作项目[项目主要参与人,负责模型的自动化编程实现的改进,报告撰写[链接:http://www.patastore.com/asia-pacific-visitor-forecasts-2014-2018/] PATA and PolyU(2013).Asia Pacific Visitor Forecasts 2013-2017.Available at:http://www.patastore.com/asia-pacific-visitor-forecasts-2013-2017/.亚太旅游协会(PATA)和香港理工大学酒店及旅游业管理学院(PolyU)合作项目.[项目主要负责人和联络人,负责模型的自动化编程实现,报告撰写].[链接:http://www.patastore.com/asia-pacific-visitor-forecasts-2013-2017-digital/] Tourist Satisfaction Index and Tourism Service Quality Index.(2013).Tourist Satisfaction Index and Tourism Service Quality Index(http://www.touristsatisfaction.org/).香港理工大学.March 2013(34页).[项目主要参与人之一]. 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),香港理工大学,June 2012(46页).[报告撰写人和项目联络人].[链接:http://158.132.104.67/hktdfs/home/project/document.jsp] HKTDFS.(2010b).Tourist arrivals forecasts updates.Hong Kong Tourism Forecasting Report,Vol.2(3).香港理工大学,December 2010(24页).[报告撰写人和项目联络人].[链接:http://158.132.104.67/hktdfs/home/project/document.jsp] 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),香港理工大学,March 2010(31页).[报告撰写人和项目联络人].[链接:http://158.132.104.67/hktdfs/home/project/document.jsp] 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),香港理工大学,October 2009(26页).[报告撰写人和项目联络人].[链接:http://158.132.104.67/hktdfs/home/project/document.jsp] 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),香港理工大学,April 2009(46页).[报告撰写人和项目联络人][链接:http://158.132.104.67/hktdfs/home/project/document.jsp] 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),香港理工大学,December 2008(40页).[报告撰写人之一][链接:http://158.132.104.67/hktdfs/home/project/document.jsp] 旅游研究 旅游研究网站[国内] 中国旅游网www.cnta.com(国家旅游局网站) 旅研网www.cotsa.com(高校旅游研究网) 中国旅游智网www.davost.cn 广东旅游发展研究网www.tourism-research.com 活力广东网www.visitgd.com 旅游研究网站[国外][待补充] 旅游期刊列表 国内期刊: 《旅游学刊》,北京联合大学主办,中国旅游权威期刊 《旅游科学》,上海师范大学主办,中国旅游核心期刊 《旅游论坛》,桂林旅专主办,中国旅游重要期刊 国际期刊 Annals of Tourism Research Tourism Management Journal of Travel Research Journal of Sustainable Tourism Journal of Travel&Tourism Marketing International Journal of Tourism Research Tourism Economics Asia Pacific Journal of Tourism Research Journal of China Tourism Research Journal of Teaching in Travel and Tourism Journal of Convention&Event Tourism Tourism Recreation Research Journal of Vacation Marketing Scandinavian Journal of Hospitality and Tourism Tourism Geographies Current Issues in Tourism Cornell Hotel and Restaurant Administration Quarterly International Journal of Hospitality Management Journal of Hospitality&Tourism Research International Journal of Contemporary Hospitality Management Journal of Hospitality&Tourism Education FIU Hospitality Review Journal of Hospitality&Leisure Marketing(title changed to Journal of Hospitality Marketing&Management,new title effective spring 2008,Volume 18,Issue 1) Journal of the American Dietetic Association Journal of Hospitality,Leisure,Sports&Tourism Education International Journal of Hospitality and Tourism Administration 全球旅游高校列表 http://www.ciret-tourism.com/

研究领域

旅游经济学(偏重旅游需求预测) 智慧旅游和大数据 数字文旅服务 中国游客消费行为

旅游经济学,并以旅游需求的建模和预测为核心。

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期刊论文 Yi,X.,Fu,X.,Lin,V.S.,&Xiao,H.(2021).Integrating authenticity,well-being,and memorability in heritage tourism:A two-site investigation.Journal of Travel Research.[SSCI].https://doi.org/10.1177/0047287520987624(First Published January 24,2021)[Output of Grant 71973126 and LY19G030029 and 71973126] Lin,V.S.,Qin,Y.,Li,G.,&Wu,J.(2020).Determinants of Chinese households’tourism consumption:Evidence from China Family Panel Studies.International Journal of Tourism Research[SSCI].http://dx.doi.org/10.1002/jtr.2425.[Output of Grant 71973126 and LY19G030029] Liu,A.,Lin,V.S.,Li,G.,&Song,H.(2020).Ex-ante Tourism Forecasting Assessment.Journal of Travel Research[A+,SSCI].https://doi.org/10.1177/0047287520974456. 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] 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] 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] 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] 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] 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] 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] 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). 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 学位论文 博士论文:Lin,S.(2013).Integrating statistical and judgmental tourism demand forecasting approaches:The case of Hong Kong(Supervisor:Prof.Haiyan Song宋海岩教授),The Hong Kong Polytechnic University(香港理工大学),Retrieved fromhttp://repository.lib.polyu.edu.hk/jspui/handle/10397/6485?mode=full&submit_simple=Show+full+item+record 硕士论文:林珊珊(2008).基于农村住户调查数据的中国农村贫困和收入不平等的实证分析(导师:白雪梅教授),东北财经大学优秀硕士论文 学士论文:林珊珊(2006).基于GM(1,1)模型的城镇非正规就业规模估测——对辽宁省城镇非正规就业规模估测的实证分析(导师:白雪梅教授),东北财经大学优秀本科论文,第四届全国统计学专业学位论文(学士学位论文组)一等奖

学术兼职

2018-2-至今:Associate Editor 副编辑,Annals of Tourism Research 2018-11-至今:Editorial Board Member编委会成员,Journal of Travel Research 2018-2-至今:Editorial Board Member编委会成员,Journal of Destination Marketing & Management 2017-12-至今:Editorial Board Member编委会成员,Tourism Economics 2017-09-至今:Editorial Board Member编委会成员,Tourism Management Perspectives 2016-09-至今:Editorial Board Member编委会成员,Tourism Review 2016-01-至今:Editorial Board Member编委会成员,Asia Pacific Journal of Tourism Research 2017-09-至今:Reviewer 匿名审稿人,International Journal of Hospitality Management 2015-12-至今:Reviewer 匿名审稿人,Tourism Economics 2015-09-至今:Reviewer 匿名审稿人,Annals of Tourism Research 2015-09-至今:Reviewer 匿名审稿人,Current Issues in Tourism 2015-03-至今:Reviewer 匿名审稿人,Tourism Management 2014-11-至今:Reviewer 匿名审稿人,Big Data Research 2013-10-至今:Reviewer 匿名审稿人,Journal of Travel Research 2012-11-至今:Reviewer 匿名审稿人,Asia Pacific Journal of Tourism Research 2012-08-至今:Reviewer 匿名审稿人,Journal of Travel & Tourism Marketing 2012-06-至今:Reviewer 匿名审稿人,Journal of Chinese Economic and Business Studies

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