60 research outputs found
A Review of Past Research and Recommendations for Future Applications
No full textAlthough the number of empirical applications of partial least–squares structural equation modeling (PLS-SEM) in tourism has increased in the last two years, Assaker, Huang, and Hallak have conducted the only assessment on the use of PLS-SEM in four studies and with a limited number of criteria. Thus, this study aims to critically analyze how the PLS-SEM method has been applied in 44 articles published in 11 leading tourism journals from 2000 to 2014 in terms of four key criteria: (1) themes explored and main motivations for using PLS-SEM; (2) characteristics of proposed models; (3) how the models were evaluated; and (4) the use of more advanced analyses within the method. The findings revealed that although applications in tourism have improved in recent years, problematic aspects in the application of PLS-SEM in tourism research still exist. The article provides suggestions on how to improve the use of PLS-SEM in future tourism applications.PublishedN/
What Drives Faculty Publication Citations in the Business Field? Empirical Results from an AACSB Middle Eastern Institution
No full textThis paper examines how journal-, article-, and author-related factors influence citation counts in the business field using 236 journal articles collected from an AACSB medium research output business school in the Middle East between 2017 and 2021. Results from association tests demonstrated that journal rank and format, the subfield of the article, and author prestige are significantly related to the number of citations. Results from CHAID further demonstrated the presence of an interaction/joint effect among variables; in particular: (1) articles published in Q1 WoS journals that are also authored/co-authored by prestige authors resulted in the highest number of citations; (2) articles published in Q2–Q3 WoS journals that also belonged to the business and management domain resulted in an average number of citations, and (3) articles published in Q4 or unranked journals in WoS also ranked Q3–Q4 or unranked in Scimago resulted in the lowest number of citations. These results provide theoretical implications and practical recommendations for faculty and business schools interested in enhancing their scholarly impact and rankings
Examining a hierarchical model of Australia’s destination image
No full textThis study presents a hierarchical model of a country’s destination image (DI). The model is empirically tested in the context of Australia as a tourism destination. Data were collected from 600 residents in four countries representing Australia’s main market segments for inbound visitors – China, the United Kingdom, the United States and South Korea. Partial least squares structural equation modelling confirmed that DI is best operationalized as a second-order factor model, which is formed by six first-order factors (destination attributes) of natural and well-known attractions, variety of tourist services and culture, quality of general tourist atmosphere, entertainment and recreation, general environment and accessibility. More specifically, the cross-sectional standardized regression/loadings demonstrate that ‘natural and well-known attractions’ as well as ‘accessibility’ had the largest effects on overall image formation. The attribute of ‘general environment’, on the other hand, had lowest effect on the country’s DI. Thus, the findings from this study advance existing knowledge on DI formation. Through a greater understanding of how DI is formed, the findings are of benefit to both tourism researchers and destination managers. New insights into how DI is formed among Australia’s key inbound markets present opportunities for new and effective marketing strategies.PublishedN/
Four papers using multiple perspectives and structural equation modeling
No full textChapter 4 uses advanced Latent-Growth sampling in AMOS 16.0 to validate the proposed model on the effects of novelty-seeking, destination image, and overall satisfaction levels across intent to revisit trajectories, using data collected online in February 2009, among French, English, and German travelers, who flew for more than two hours to visit a sun-and-sand destination during the past six months. [...] Chapter 4 explores the individual differences in re-visiting choice over time, in contrast to the previous two chapters, which follow a supply-side perspective to analyze tourism demand.PublishedN/
Insights into tourism demand and tourism behavior / four papers using multiple perspectives and structural equation modeling
No full textRapid industry expansion has elevated research on tourism demand to an important area of inquiry. This work examines the topic through four interconnected studies. It starts by reviewing statistical methods previously used in tourism demand forecasting and how structural equation modeling (SEM) has typically been applied. Twenty-one papers published in tourism and service industry journals are reviewed, culminating with guidelines for how SEM’s use in tourism research could be improved. Best practice SEM techniques are then applied to data on 162 countries to validate the relationships between supply-side factors and tourist inflows. Supply-side variables are incorporated into demand equations to understand the factors that develop a country’s tourism. Next, multigroup analysis in SEM was used to test whether a country’s level of economic development moderates the previously validated relationships. Findings show that relationships between tourism and supply-side variables hold true regardless of the level of economic development. A final study examines tourists’ behavior across time. It uses the latent growth curve model of SEM to estimate the impact of different predictors on how individual return behavior develops. Together, these papers’ findings help enhance readers’ comprehension of tourism demand forecasting and provide insights to practitioners on factors they can use to drive tourisms to their destinations.N/Axi, 194 p. : ill.Includes bibliographical reference
Moderating Effects of Tourists’ Novelty-Seeking Tendencies on Destination Image, Visitor Satisfaction, and Short- and Long-Term Revisit Intentions
No full textA Structural Model Approach
No full textThis study aims to empirically examine the antecedents of film tourism experience associated with a serialized TV drama. Drawing on film tourism and media-communication studies, a theoretical model for the causal interrelationship between production values of the TV drama, audience involvement with it, and film tourism experience at its filmed location was tested empirically using structural equation modeling (SEM) methodologies. Responses were drawn from a cross-sectional data sample of international visitors via a survey executed at Daejanggeum Theme Park in Korea. The results indicate that production values and audience involvement have a direct, positive impact on film tourism experience. Moreover, the production values have a mediating, positive impact on film tourism experience through the audience involvement construct.PublishedN/
An empirical analysis of sports events spectators
No full textA study was conducted to develop a scale to measure place attachment at sports venues. A total of sixty-five questionnaire responses were analysed using exploratory factor analysis to test the validity of a four factor structure. Sixteen items were used to measure emotional engagement, place identity, place dependence and place symbolism. It was found necessary to amend the initial measures for place dependence and to focus on spectator evaluations of their event experience rather than the functionality of venues for competitors. The study was completed at two events in Adelaide, South Australia. Opportunities to use the scale at different types of events and to examine relationships between place attachments and other factors influencing the event experience are discussed.N/
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