arrow
Return

Modeling reference experience in destination choice

delete2018-09-01
delete39
delete
OA
AI
L
Lorenzo Masiero *
Q
Qiu, Richard T. R.
DOI:10.1016/j.annals.2018.06.004delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
The complexity underlying the destination decision-making of tourists has prompted abundant research from various academic disciplines. This paper proposes the integration of the leisure tourists' past reference experience into a model for long-haul destination choice. By analyzing the preference of tourists regarding various attributes of a tourist destination, this study consolidates the concept of reference-dependent behavior in the context of tourist destination choice and introduces the concept of reference-level bias. The research findings provide theoretical and managerial implications.
Keywords:
Destination choice
Discrete choice model
Reference-dependent behavior
Reference-level bias
Long-haul leisure travel
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Annals of Tourism Research cover
Annals of Tourism Research
IF:
7.8
Papers:
4.5K
Citations:
1.8W

Organization

H
hong kong polytechnic university
Scholars:
3.0W
Papers: 4.1W
Citations: 921
Cited Papers

Cited Papers

errShare
errSave
err
IF0
err
err0
PREAI
err
errShare
errSave
errShare
errSave
Multilingual Semantic Parsing And Code-Switching
err2017-01-01
err0
errOAAI
errLong Duong; Hadi Afshar; Dominique Estival; Glen Pink; Philip Cohen; Mark Johnson
errShare
errSave
The Predictive Value of Golgi Protein 73 in Differentiating Benign from Malignant Liver Tumors
err2014-07-17
err0
errOAAI
errMirelle E. E. Bröker; Jan N. M. Ijzermans; Caroline D. M. Witjes; Hanneke J. van Vuuren; Robert A. de Man
errShare
errSave
The SOAR Optical Imager
err2003-03-07
err0
errOAAI
errAlistair R. Walker; Maxime Boccas; Marco Bonati; Ramon Galvez; Manual Martinez; Patricio Schurter; Ricardo E. Schmidt; Michael C. Ashe; Francisco Delgado; Roberto Tighe
errShare
errSave
researcher View more