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Journal of Hospitality Marketing & Management Volume 22, 2013 - Issue 4
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Articles

The Accuracy of Tourism Forecasting and Data Characteristics: A Meta-Analytical Approach

Namhyun Kim Department of Recreation, Sport and Tourism, University of Illinois, Champaign, Illinois, USACorrespondence[email protected]
&
Zvi Schwartz Department of Hospitality and Tourism Management, Virginia Tech, Blacksburg, Virginia, USA
Pages 349-374 | Published online: 26 Mar 2013

Citations (16)

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Read on this site (3)

Dan Zhu, Tin Doan, Pattamol Kanjanakan & Peter B. Kim. (2022) The impact of emotional intelligence on hospitality employees’ work outcomes: a systematic and meta-analytical review. Journal of Hospitality Marketing & Management 31:3, pages 326-347.
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Xingbao (Simon) Hu & Yang Yang. (2021) What makes online reviews helpful in tourism and hospitality? a bare-bones meta-analysis. Journal of Hospitality Marketing & Management 30:2, pages 139-158.
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Catherine Prentice, Sergio Dominique Lopes & Xuequn Wang. (2020) Emotional intelligence or artificial intelligence– an employee perspective. Journal of Hospitality Marketing & Management 29:4, pages 377-403.
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Articles from other publishers (13)

Ching-Yi Tan & Siew-Voon Soon. (2023) Tourism demand for Malaysia: Further evidence from panel approaches. Asia Pacific Management Review 28:4, pages 459-469.
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Yang Yang, Yawen Fan, Lan Jiang & Xiaohui Liu. (2022) Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?. Annals of Tourism Research 93, pages 103365.
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Anyu Liu, Vera Shanshan Lin, Gang Li & Haiyan Song. (2020) Ex Ante Tourism Forecasting Assessment . Journal of Travel Research 61:1, pages 64-75.
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Yang Yang & Honglei Zhang. (2019) Spatial-temporal forecasting of tourism demand. Annals of Tourism Research 75, pages 106-119.
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Irem Önder. (2017) Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities. International Journal of Tourism Research 19:6, pages 648-660.
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Bing Pan & Yang Yang. (2016) Forecasting Destination Weekly Hotel Occupancy with Big Data. Journal of Travel Research 56:7, pages 957-970.
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Doris Chenguang Wu, Haiyan Song & Shujie Shen. (2017) New developments in tourism and hotel demand modeling and forecasting. International Journal of Contemporary Hospitality Management 29:1, pages 507-529.
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Oscar Claveria, Enric Monte & Salvador Torra. (2015) A new forecasting approach for the hospitality industry. International Journal of Contemporary Hospitality Management 27:7, pages 1520-1538.
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Oscar Claveria, Enric Monte & Salvador Torra. (2015) Common trends in international tourism demand: Are they useful to improve tourism predictions?. Tourism Management Perspectives 16, pages 116-122.
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Oscar Claveria, Enric Monte & Salvador Torra. (2015) Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information. International Journal of Tourism Research 17:5, pages 492-500.
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Ulrich Gunter & Irem Önder. (2015) Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data. Tourism Management 46, pages 123-135.
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Sivakumar Pertheban, Mohd Naz'ri Mahrin & Bharanidharan Shanmugam. (2015) A Framework for Information Accuracy (IA) Assurance Practices in Tourism Business (TB). Journal of Advances in Information Technology, pages 207-211.
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Oscar Claveria, Enric Monte & Salvador Torra. (2014) A Multivariate Neural Network Approach to Tourism Demand Forecasting. SSRN Electronic Journal.
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