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作 者:张梦[1] 郭养红 付晓蓉[1] ZHANG Meng;GUO Yanghong;FU Xiaorong(School of Business Administration,Southwestern University of Finance and Economics,Chengdu 611130,China)
机构地区:[1]西南财经大学工商管理学院,四川成都611130
出 处:《旅游学刊》2018年第7期119-132,共14页Tourism Tribune
基 金:国家自然科学基金项目"消费者服务购买决策过程的框架效应研究"(71372207);四川省教育厅"西部旅游发展研究中心""旅游消费者创新理论团队"(JBK150507);中央高校基本科研业务费专项资金(No.JBK170921)共同资助~~
摘 要:旅游消费者行为是旅游研究最重要的研究领域之一,以往学术界对此领域的研究缺乏全面梳理和深入解读。为了了解旅游消费者行为研究现状,把握其理论研究演化脉络和发展趋势,文章采用引证研究法,选取社会科学引文索引(SSCI)数据库"接待业、休闲、体育和旅游"类18种期刊,通过对2000—2015年间发表全部论文的引用文献进行深度扫描,构建旅游消费者行为研究文献的引证-同被引矩阵,运用LEM软件包,梳理旅游消费者行为研究领域的先驱贡献者和最具影响力的文献,提炼旅游消费者行为研究聚焦领域和议题,分析过去16年不同时期研究议题的影响力和空间演进过程及关系,预测旅游消费者行为研究的未来趋势。文章勾勒了旅游消费者行为研究的全貌,为学术界深化相关研究提供参考,并推动旅游消费者行为理论的实践运用。Although consumer behavior(CB) is one of the most studied areas in tourism research, there are few systematic analyses or extensive reviews of it. In order to understand the research status of CB in tourism, and to trace its theoretical research evolution and development trends, we examined the CB literature published in 18 journals from 2000 to 2015, using a citation-based approach. These 18 journals, all related to hospitality, leisure, sport, and tourism, were selected from the Social Sciences Citation Index. We conducted a thorough analysis based on all the papers cited by the CB literature published in 18 journals between 2000 and 2015, and then constructed a citation-cocitation matrix.LEM software was then used to identify the most cited researchers and the most influential CB papers in tourism, to detect the main research fields and topics, to analyze the influence and evolutionary process of these research topics during different periods in the past 16 years, and to forecast future research trends.The findings are as follows:(1) Urry's study remains the most influential work on CB in tourism,followed by Mac Cannel's study and then Baloglu's study. In terms of the 40 most influential papers,Crompton appears the most frequently. Cohen is one of the pioneers in this field. Other scholars who have made important contributions include Echtner, Ritchie, Butler, and Wang. Some scholars are still active, such as Bigné, Gallarza, and Chen.(2) We identify five fields and twelve topics for CB in tourism. In the field of tourist characteristics, tourist segmentation is the main topic. In the field of influence factors, motivation, destination image, and tourism context are the three main topics. In the field of tourist decision making, information search, perceived risk, and behavioral intention are the three main topics. In the field of tourist experience, experience and experience design, experience quality, and satisfaction and loyalty are the three main topics. In the field of specific CB in
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