手法を比較

	Destination Competitiveness Index	Tourism Product Conjoint Analysis
分野	Tourism Recreation	Tourism
系統	MCDM	Regression model
提唱年	2003	1978
提唱者	J. R. Brent Ritchie & Geoffrey I. Crouch	Paul Green & V. Srinivasan (conjoint analysis); applied to tourism products
種類	Multi-attribute composite index of destination competitiveness	Decompositional part-worth model of multi-attribute travel-product preference
原典	Ritchie, J. R. B., & Crouch, G. I. (2003). The Competitive Destination: A Sustainable Tourism Perspective. Wallingford, UK: CABI Publishing. ISBN: 9780851996646	Green, P. E., & Srinivasan, V. (1978). Conjoint Analysis in Consumer Research: Issues and Outlook. Journal of Consumer Research, 5(2), 103-123.
別名	Ritchie-Crouch Competitiveness Model, Tourism Destination Competitiveness Index, Crouch-Ritchie Competitiveness Framework	Travel Package Conjoint Analysis, Tourism Product Profile Analysis, Holiday Package Part-Worth Estimation, Tourism Attribute Decompositional Preference Analysis
関連	3	4
概要	The Destination Competitiveness Index operationalizes the Ritchie-Crouch model, the most influential conceptual framework for understanding why some tourism destinations outperform others. Crouch and Ritchie argued in 1999, and elaborated in their 2003 book The Competitive Destination, that a destination's ability to attract visitors and deliver lasting prosperity depends on a structured set of determinants: core resources and attractors, supporting factors and resources, destination management, destination policy and planning, and qualifying and amplifying determinants that set the ceiling on what is achievable. The index turns this framework into a multi-attribute composite: each destination is scored on attributes within each determinant, the attributes are weighted by importance, and the weighted scores are aggregated into an overall competitiveness score that can be benchmarked against rival destinations to reveal where advantage is won or lost.	Tourism product conjoint analysis is a decompositional preference-measurement technique that breaks travellers' overall judgments of holiday packages into the separate contributions, or part-worths, of each package attribute. Building on the conjoint framework articulated by Green and Srinivasan (1978), the method presents respondents with whole travel-package profiles, each combining levels of attributes such as price, trip duration, board basis, accommodation class and included activities, and asks them to rate or rank the packages. From these holistic evaluations it statistically recovers how much each attribute level adds to or subtracts from preference, and how important each attribute is overall. Unlike choice-based methods that model selection among alternatives, traditional ratings-based conjoint treats preference as a quantity to be decomposed, making it a natural tool for designing and optimising tourism products and bundles.