Demonstration of exponential random graph models in tourism studies: Is tourism a means of global peace or the bottom line?

•Presents the applications of exponential random graph models (ERGMs) to tourism context.•Demonstrates dyadic hypotheses testing in tourism social network analysis.•Explains that prejudicial attitudes are among the major reasons for which visitors do not travel to a particular destination.•Shows tha...

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Published inAnnals of tourism research Vol. 69; pp. 31 - 41
Main Author Khalilzadeh, Jalayer
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.03.2018
Elsevier Science Ltd
Subjects
Online AccessGet full text
ISSN0160-7383
1873-7722
DOI10.1016/j.annals.2017.12.007

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Abstract •Presents the applications of exponential random graph models (ERGMs) to tourism context.•Demonstrates dyadic hypotheses testing in tourism social network analysis.•Explains that prejudicial attitudes are among the major reasons for which visitors do not travel to a particular destination.•Shows that tourism is not the cause of peace and mutual understanding; rather, it is an outcome. Most social network analyses conducted in hospitality and tourism studies are merely descriptive. Despite the recent popularity of exponential-family of random graph models (ERGMs) in various scientific investigations, no studies have utilized these inferential methods of network analysis in hospitality and tourism studies. In some contexts, the power of these methods is undeniably superior to those of conventional statistical tests. Accordingly, in the current study, by using the controversial subject of tourism-peace, I demonstrated how ERGMs can be used in hypotheses testing and statistical modeling in hospitality and tourism context. The results of this study suggest that a change of perspective in tourism-peace discourse from tourism as a peacemaker to tourism as a peacekeeper can be a valid approach concerning the long-lasting debates on the relationship between tourism and peace.
AbstractList Most social network analyses conducted in hospitality and tourism studies are merely descriptive. Despite the recent popularity of exponential-family of random graph models (ERGMs) in various scientific investigations, no studies have utilized these inferential methods of network analysis in hospitality and tourism studies. In some contexts, the power of these methods is undeniably superior to those of conventional statistical tests. Accordingly, in the current study, by using the controversial subject of tourism-peace, I demonstrated how ERGMs can be used in hypotheses testing and statistical modeling in hospitality and tourism context. The results of this study suggest that a change of perspective in tourism-peace discourse from tourism as a peacemaker to tourism as a peacekeeper can be a valid approach concerning the long-lasting debates on the relationship between tourism and peace.
•Presents the applications of exponential random graph models (ERGMs) to tourism context.•Demonstrates dyadic hypotheses testing in tourism social network analysis.•Explains that prejudicial attitudes are among the major reasons for which visitors do not travel to a particular destination.•Shows that tourism is not the cause of peace and mutual understanding; rather, it is an outcome. Most social network analyses conducted in hospitality and tourism studies are merely descriptive. Despite the recent popularity of exponential-family of random graph models (ERGMs) in various scientific investigations, no studies have utilized these inferential methods of network analysis in hospitality and tourism studies. In some contexts, the power of these methods is undeniably superior to those of conventional statistical tests. Accordingly, in the current study, by using the controversial subject of tourism-peace, I demonstrated how ERGMs can be used in hypotheses testing and statistical modeling in hospitality and tourism context. The results of this study suggest that a change of perspective in tourism-peace discourse from tourism as a peacemaker to tourism as a peacekeeper can be a valid approach concerning the long-lasting debates on the relationship between tourism and peace.
Author Khalilzadeh, Jalayer
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Keywords Tourism
Peace
Prejudice
Social network analysis
Racism
Exponential-family random graph models (ERGMs)
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SSID ssj0001679
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Snippet •Presents the applications of exponential random graph models (ERGMs) to tourism context.•Demonstrates dyadic hypotheses testing in tourism social network...
Most social network analyses conducted in hospitality and tourism studies are merely descriptive. Despite the recent popularity of exponential-family of random...
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elsevier
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StartPage 31
SubjectTerms Exponential-family random graph models (ERGMs)
Graph theory
Peace
Peace studies
Popularity
Prejudice
Racism
Social network analysis
Tourism
Tourist attractions
Title Demonstration of exponential random graph models in tourism studies: Is tourism a means of global peace or the bottom line?
URI https://dx.doi.org/10.1016/j.annals.2017.12.007
https://www.proquest.com/docview/2124117274
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