International Tourism Advertisements on Social Media: Impact of Argument Quality and Source

被引:6
作者
Lee, Un-Kon [1 ]
机构
[1] Univ Suwon, Dept Business Adm, 17,Wauan Gil, Hwaseong Si 18323, Gyeonggi Do, South Korea
关键词
international tourism advertising; Toulmin's model of argument; knowledge adoption model; tourist-created international tourism advertisement; consumer behavior; MCLEAN MODEL; E-COMMERCE; INFORMATION; ACCEPTANCE; FEEDBACK; DELONE; TRUST; RISK;
D O I
10.3390/su9091537
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To guarantee sustainable international tourism market growth, challenges for international tourism advertisements (ITAs) include how and by whom they are made. Different to traditional ITAs, a new type of ITA has been created by the international tourists themselves; it contains not only pictures but also their own tour stories, and it is distributed via social media (e.g., Youtube.com). However, few studies have investigated the impacts of this type of ITA. I was challenged to empirically validate the impacts on potential tourist reactions of argument quality and the peer tourist source of ITAs. I developed my research model based on Toulmin's model of argument, institution-based trust, the information adoption model, and consumer reaction literature. I conducted the quasi-experiment using three types of ITAs that vary by argument quality and advertisement source. A total of 387 data were collected and analyzed using ANOVA and the partial least squares (PLS) analysis. The results indicate that argument quality and peer tourist source significantly increase perceived ITA quality, ITA fit-to-task and trusting belief, and decrease perceived risk. Argument quality and peer tourist source could also significantly increase tourist reactions, such as ITA adoption, planned/unplanned visit, and word-of-mouth intention. These findings could make ITAs more persuasive on social media.
引用
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页数:18
相关论文
共 56 条
[1]  
[Anonymous], 2014, TOUR HIGHL 2014 ED
[2]   DEVELOPMENT OF A TOOL FOR MEASURING AND ANALYZING COMPUTER USER SATISFACTION [J].
BAILEY, JE ;
PEARSON, SW .
MANAGEMENT SCIENCE, 1983, 29 (05) :530-545
[3]  
Barclay D., 1995, Technology Studies
[4]   From Point of Purchase to Path to Purchase: How Preshopping Factors Drive Unplanned Buying [J].
Bell, David R. ;
Corsten, Daniel ;
Knox, George .
JOURNAL OF MARKETING, 2011, 75 (01) :31-45
[5]   Understanding information systems continuance: An expectation-confirmation model [J].
Bhattacherjee, A .
MIS QUARTERLY, 2001, 25 (03) :351-370
[6]  
Bovee M. W., 2004, THESIS
[7]  
Butterfield D. W., 1998, Journal of Travel Research, V37, P12, DOI 10.1177/004728759803700102
[8]  
Campbell DT., 1963, EXPT QUASIEXPERIMENT
[9]  
Chai Sangmi, 2011, Asia Pacific Journal of Information Systems, V21, P1
[10]  
Chin W.W., 2010, HDB PARTIAL LEAST SQ, DOI [10.1007/978-3-540-32827-88, DOI 10.1007/978-3-540-32827-88, DOI 10.1007/978-3-540-32827-8_8]