Usage patterns of advanced analytical methods in tourism research 1988-2008: a six journal survey

Mazanec, Josef A., Ring, Amata, Stangl, Brigitte and Teichmann, Karin (2010) Usage patterns of advanced analytical methods in tourism research 1988-2008: a six journal survey. Information Technology and Tourism, 12 1: 17-46. doi:10.3727/109830510X12747489979583


Author Mazanec, Josef A.
Ring, Amata
Stangl, Brigitte
Teichmann, Karin
Title Usage patterns of advanced analytical methods in tourism research 1988-2008: a six journal survey
Journal name Information Technology and Tourism   Check publisher's open access policy
ISSN 1098-3058
1943-4294
Publication date 2010-01
Sub-type Article (original research)
DOI 10.3727/109830510X12747489979583
Open Access Status
Volume 12
Issue 1
Start page 17
End page 46
Total pages 30
Place of publication Putnam Valley, NY, United States
Publisher Cognizant Communication Corporation
Language eng
Abstract Advanced analytical methods alone do not warrant progress in scientific discovery. But their frequency of use, whether individually or in combination, and their variation over time reflect the researchers' perceived benefit. This survey covers more than 4,600 articles with more than 2,000 applications of advanced (multivariate) methods. Regression-Based Methods and Exploratory Factor Analysis account for 45% of all applications. In third place and by far the fastest growing analytical instrument is Structural Equation Modeling (SEM), followed by clustering techniques. Numerous other methods are in occasional use. Best practice examples, smart combinations of analytical methods, and underutilized methods with a promising application potential are identified. Typical pitfalls and shortcomings get diagnosed. Three of the most popular method classes and application areas, viz. scale development, SEM, and classification methods, are portrayed in greater detail and highlighted regarding their tourism-specific mode of employment.
Keyword Tourism research
Tourism journals
Analytical methods
Quantitative methods
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: UQ Business School Publications
 
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Created: Fri, 21 Mar 2014, 10:59:52 EST by Amata Ring on behalf of UQ Business School