Prioritizing destination attributes for optimal resource allocation: A study of Chinese tourists visiting Britain

Lin, Z.; Vlachos, I.; Ollier, J.

doi:10.1080/10548408.2018.1468854

Prioritizing destination attributes for optimal resource allocation: A study of Chinese tourists visiting Britain

Lin, Z.; Vlachos, I.; Ollier, J.

Authors

Professor Zhibin Lin zhibin.lin@durham.ac.uk
Professor

I. Vlachos

J. Ollier

Abstract

This study assesses the importance, performance and the interrelationships of key destination attributes for marketing managers to prioritize resource allocation. A three-dimensional analysis of Importance-Performance-Impact factors (IPIA), based upon a survey sample of 275 Chinese tourists to Britain and an expert panel interview with 10 destination marketing managers. Data analysis was based upon a mix of multi-criteria decision-making methodologies, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytic Network Process (ANP) method. The framework can be applied for prioritizing resources allocation to improve customer satisfaction in other contexts, such as a sector or a specific business.

Citation

Lin, Z., Vlachos, I., & Ollier, J. (2018). Prioritizing destination attributes for optimal resource allocation: A study of Chinese tourists visiting Britain. Journal of Travel and Tourism Marketing, 35(8), 1013-1026. https://doi.org/10.1080/10548408.2018.1468854

Journal Article Type	Article
Acceptance Date	Apr 18, 2018
Online Publication Date	May 11, 2018
Publication Date	Apr 1, 2018
Deposit Date	Apr 18, 2018
Publicly Available Date	Nov 11, 2019
Journal	Journal of Travel and Tourism Marketing
Print ISSN	1054-8408
Electronic ISSN	1540-7306
Publisher	Taylor and Francis Group
Peer Reviewed	Peer Reviewed
Volume	35
Issue	8
Pages	1013-1026
DOI	https://doi.org/10.1080/10548408.2018.1468854
Keywords	Resource allocation; Tourist satisfaction; Importance-Performance Analysis; Importance-Performance-Impact Analysis, Multi-Criteria Decision Making; Decision-Making Trial and Evaluation Laboratory (DEMATEL); Analytic Network Process; Chinese tourists
Public URL	https://durham-repository.worktribe.com/output/1328979

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Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Travel & Tourism Marketing on 11 May 2018 available online: http://www.tandfonline.com/10.1080/10548408.2018.1468854