z-logo
Premium
Development and validation of the ecotourism behavior scale
Author(s) -
Lee Tsung Hung,
Jan FenHauh
Publication year - 2017
Publication title -
international journal of tourism research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.155
H-Index - 58
eISSN - 1522-1970
pISSN - 1099-2340
DOI - 10.1002/jtr.2172
Subject(s) - ecotourism , construct (python library) , delphi method , scale (ratio) , reliability (semiconductor) , tourism , delphi , empirical research , construct validity , environmental resource management , marketing , field (mathematics) , computer science , management science , business , geography , environmental science , engineering , mathematics , artificial intelligence , cartography , archaeology , operating system , power (physics) , quantum mechanics , programming language , statistics , physics , pure mathematics , patient satisfaction
This study conceptualizes ecotourism behavior as a multidimensional construct and develops a framework that offers a reliable and valid scale to assess ecotourism behavior; the framework is based on an empirical survey using 3 studies. In Study 1, measurement items are established and refined using a literature review, content analysis, and the fuzzy Delphi method. In Study 2, a research instrument is developed, and its reliability and validity are tested. In Study 3, cross‐validation of this research instrument is employed to assess ecotourism behavior using two populations of ecotourists. A reliable and valid 30‐item scale with a seven‐construct model is developed based on Taiwan's forests and wetlands as ecotourism destinations. This research instrument provides researchers with an invaluable instrument to accurately measure ecotourism behavior and offers a theoretical framework for researchers, decision makers, managers, and tourists in the field of ecotourism; thus, it makes a significant contribution to the literature.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom