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Open AccessJournal ArticleDOI

Planning a wine tourism vacation? Factors that help to predict tourist behavioural intentions

Beverley Sparks
- 01 Oct 2007 - 
- Vol. 28, Iss: 5, pp 1180-1192
TLDR
In this paper, a large cross-sectional survey was undertaken within Australia to investigate potential wine tourists' intentions to take a wine-based vacation, and three wine tourism attitudinal dimensions were identified and confirmed using exploratory and confirmatory factor analyses.
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This article is published in Tourism Management.The article was published on 2007-10-01 and is currently open access. It has received 487 citations till now. The article focuses on the topics: Wine & Theory of planned behavior.

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Citations
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Antecedents of Tourists’ Loyalty to Mauritius: The Role and Influence of Destination Image, Place Attachment, Personal Involvement, and Satisfaction

TL;DR: In this article, a theoretical model based on hypothesized relationships among four constructs, namely, destination image, place attachment, personal involvement, and visitors' satisfaction as antecedents of loyalty is evaluated.
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Risk, uncertainty and the theory of planned behavior: A tourism example

TL;DR: In this paper, the authors explored the differential impacts risk and uncertainty have on travel decision-making by examining the constructs' influence on the antecedents of intentions to visit Australia using the theory of planned behavior.
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Building a model of local food consumption on trips and holidays: A grounded theory approach

TL;DR: In this article, the authors used grounded theory to obtain insight into the local food experiences though interviews with 20 individuals and used these data to propose a model of local food consumption, which constitutes three categories: Motivational factors, demographic factors, and physical factors.
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A structural model to examine how destination image, attitude, and motivation affect the future behavior of tourists.

TL;DR: This article examined a behavioral model of wetlands tourism using variables of destination image, attitude, motivation, satisfaction and future behavior for tourists at Cigu, Sihcao and Haomeiliao in southwestern Taiwan.
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The impact of electronic word of mouth on a tourism destination choice

TL;DR: This paper investigates the impact of electronic WOM (eWOM) on a tourism destination choice, using the theory of planned behaviour (TPB), and an effort was employed to determine the effect of past travel experience on using eWOM and TPB constructs.
References
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Journal ArticleDOI

The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
Book

Principles and Practice of Structural Equation Modeling

TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI

Multivariate data analysis

TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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Frequently Asked Questions (6)
Q1. What have the authors contributed in "Planning a wine tourism vacation? factors that help to predict tourist behavioural intentions author" ?

In this paper, structural equation modeling was employed to test a model, based on Theory of Planned Behaviour, predicting tourist intentions. 

The construct of perceived behavioural control strongly predicted intention and is an area worthy of further research. Whilst this is consistent with Theory of Planned Behaviour, it may be useful to look at alternative models in future research given the complexity of tourist destinations. Similarly, to determine causality it would be useful to undertake further research of a longitudinal and/or experimental nature. Although sample size did not allow for tests of two groups ( previous wine visit and no wine visit ), it would be useful to compare the model with respondents who have never visited a wine region in future research. 

Principal Axis Factoring was used as it is recommended for consumer or behavioural research (see Iacobucci, 2001) and is the most appropriate approach for use when developing factors for structural equation modelling (Garson, 2006). 

The measure of emotional attitude was based on a six item sub-set of the Pleasure, Arousal & Dominance (PAD) scale (see, Mano & Oliver, 1993; Mehrabian & Russell, 1974). 

The subjective norms measure, not unrelated to interpersonal barriers (see Crawford et al. 1991), was also a significant predictor of intentions in the mediated structural model. 

Due to the structural model being tested, only respondents who have experienced wine tourism sometime in the past were used for analysis (N = 1089).