Developing a Case-based Reasoning System of Leisure Constraints

Chiu, Fei-Rung; Chen, Ming-Fong; Huang, Yucheng; Chen, Yan‐Kwang

doi:10.3923/itj.2011.541.548

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…This practice is in line with previous approaches. For instance, Chiu, Wang, Huang, and Chen (2011) classified visitors based on the mean score of constraints. Table 4 shows the classification, according to which the highly constrained ski resort tourist segment includes individuals with greater intrapersonal and family and friends-related constraints while the less constrained ski resort tourist segment consists of individuals with greater financial cost and skiing-related constraints.…”

Section: Chaid Analysismentioning

confidence: 99%

Exploring the Negotiation Thesis Application Among Ski Resort Tourists: A Segmentation Approach

Vassiliadis

Bellou

Priporas³

et al. 2015

Journal of Hospitality & Tourism Research

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The negotiation thesis offers a framework for understanding the participation decision making of tourists. Unlike previous studies that investigate the causal relationship between constraints and tourists' revisit intention, this study identified distinct segments of ski tourist based on the relative strength of constraints experienced and then investigated their decision-making process across a sample of 1,348 tourists of ski resorts. Chi-Squared Automated Interaction Detection (CHAID) analysis revealed that the decision making process regarding intention to revisit a ski destination varies between highly versus less constrained ski tourists, indicating different relative strengths of interpersonal, intrapersonal and structural constraints and different interactions among them when predicting revisit intention. On a practical basis, albeit the vast majority of participants were willing to repeat its visit, we offer customized per segment recommendations on increasing frequency of visitation and spending levels.

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Section: Chaid Analysismentioning

confidence: 99%

Exploring the Negotiation Thesis Application Among Ski Resort Tourists: A Segmentation Approach

Vassiliadis

Bellou

Priporas³

et al. 2015

Journal of Hospitality & Tourism Research

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“…GAs Based on the theory of CBR, Chiu et al [9] constructed a cased-based reasoning system of leisure constraints in four steps: Step 1. Case representation: Use individual characteristics (including demographic variables and family life-cycle) and leisure constraint type (including intrapersonal, interpersonal, structural, and no constraint) as features to represent each selected case of leisure constraint.…”

Section: The Cbr System Proposed By Chiu Et Almentioning

confidence: 99%

“…Hence, if we can predict the type of leisure constraints that visitors may encounter, we can adopt effective negotiation strategies to help them overcome the constraints and have higher behavioral intention for leisure participation. Chiu et al [9] applied the case-based reasoning technique (CBR) to develop a case repository-based leisure constraints inference system, in which the type of leisure constraints that visitors encounter can be predicted to help leisure service providers in negotiation of the constraints and strategic marketing. CBR is one of the techniques of artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

“…Chiu et al [9] pioneered in application of CBR to leisure research, in an attempt to predict the type of leisure constraints that low-participation visitors (new cases) may encounter. In applications of CBR, comparison of past instances stored in the database is usually required, and this process may drag down the performance of the inference system if the case database is too huge.…”

Section: Introductionmentioning

confidence: 99%

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A Case-Based Reasoning System With Two-Dimensional Reduction Techniques For Classification Of Leisure Constraints

Chen¹,

Chiu²,

Wang³

et al. 2012

JCIT

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Chiu et al. recently published an article entitled "Developing a case-based reasoning system of leisure constraints" in volume 10 of the Information Technology Journal. In this article, they applied the case-based reasoning technology to predicting the type of leisure constraints that visitors encounter to assist leisure services providers in negotiation of the constraints. Unfortunately, the inference relies on all instances in the database and features of these instances (or cases). Inaccurate results may be obtained if the instances or features are not representative. A plan of simultaneously selecting representative instances and features through GA optimized training with random combinations of instances or features is proposed and expected to improve the performance of the existing system.

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Integrating a CBR Mechanism and ISO Standards for Dispute Resolution

Hwang¹,

Yau²

2014

Information Technology J.

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Developing a Case-based Reasoning System of Leisure Constraints

Cited by 3 publications

References 19 publications

Exploring the Negotiation Thesis Application Among Ski Resort Tourists: A Segmentation Approach

Exploring the Negotiation Thesis Application Among Ski Resort Tourists: A Segmentation Approach

A Case-Based Reasoning System With Two-Dimensional Reduction Techniques For Classification Of Leisure Constraints

Integrating a CBR Mechanism and ISO Standards for Dispute Resolution

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