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Leisure Tourism

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Abstract

We utilize the Internet search data from Google Trends to provide short-term forecasts for the inflow of Japanese tourists to South Korea. We construct the Google variable in a systematic way by combining keywords to minimize mean squared or mean absolute forecasting errors. We augment the Google...

Author(s)
Park SangKon; Lee JungMin; Song WonHo
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2017, 34, 3, pp 357-368
Abstract

This research empirically tested a tourism behaviour model explaining tourists' intentions to vacation for the first time in selected countries extending image research by Baloglu and McCleary [(1999). U.S. international pleasure travelers' images of four Mediterranean destinations: A comparison of ...

Author(s)
Noh JeongHee; Vogt, C.
Publisher
Routledge, Abingdon, UK
Citation
Current Issues in Tourism, 2013, 16, 5, pp 455-476
Abstract

The purpose of this article is to model and forecast the seasonal variation, the fluctuations in tourist numbers from season to season in Australian inbound holiday tourism, using climate variables such as maximum temperature, humidity, and hours of sunshine. For estimation purposes this study uses ...

Author(s)
Kulendran, N.; Dwyer, L.
Publisher
Cognizant Communication Corporation, Elmsford, USA
Citation
Tourism Analysis, 2012, 17, 2, pp 121-137
Abstract

This paper investigates the expenditure allocation of Japanese international tourism in its five major Asian destinations, China, Hong Kong, Korea, Taiwan, and Thailand. The dynamic of linear approximation the almost ideal demand system is used to determine the long-run equilibrium while the...

Author(s)
Kuo HsiaoI; Liu, K. E.; Chen ChiChung
Publisher
Routledge, Abingdon, UK
Citation
Asia Pacific Journal of Tourism Research, 2014, 19, 1, pp 86-102
Abstract

Understanding the sense of authenticity of heritage attractions is important for tourism management and marketing because presentation, interpretation and verification has a direct bearing on motivations to visit and engage with heritage tourism sites. This paper establishes relationships among the ...

Author(s)
Bryce, D.; Curran, R.; O'Gorman, K.; Taheri, B.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2015, 46, pp 571-581
Abstract

International travel and tourism are among the most dynamic sectors in the modern economy. The phenomenal growth in international tourist arrivals has significantly outpaced global economic growth over the previous five decades, with particularly strong growth in the Asia and Pacific regions. Among ...

Author(s)
Lim, C.; Min, J. C. H.; McAleer, M.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2008, 29, 6, pp 1099-1109
Abstract

Wildlife sightings are not always guaranteed. To address this risk, tour operators often offer a money-back guarantee as a refund mechanism. However, studies have overlooked the influences of such refund mechanisms on tourists' tour participation decisions and tourism revenue. We conducted choice...

Author(s)
Kubo, T.; Mieno, T.; Kuriyama, K.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2019, 70, pp 49-55
Abstract

This study extends the leisure constraint model by examining the role that popular nationalism has in Chinese outbound travel. Using a case study approach based on the 2012 Diaoyu/Senkaku Island Incident between China and Japan, the study demonstrates how Chinese popular nationalism has the...

Author(s)
Cheng MingMing; Wong IpKin [Wong, I. K. A. ]; Prideaux, B.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2017, 34, 3, pp 383-397
Abstract

Tourism price has been extensively used to predict tourism demand. However, there is no agreement on the proper indicators of its components. Use of different price indicators may be the reason for researchers' apparently inconsistent results. The purpose of this study was to identify proper price...

Author(s)
Kim JeWoo; Lee ChoongKi
Publisher
Elsevier, Amsterdam, Netherlands
Citation
Journal of Destination Marketing & Management, 2017, 6, 1, pp 76-83
Abstract

This study introduces bootstrap aggregation (bagging) in modeling and forecasting tourism demand. The aim is to improve the forecast accuracy of predictive regressions while considering fully automated variable selection processes which are particularly useful in industry applications. The...

Author(s)
Athanasopoulos, G.; Song HaiYan; Sun, J. A.
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Journal of Travel Research, 2018, 57, 1, pp 52-68

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