The application of moderated hierarchical regression to the pond ecotourism development in Taiwan

NCUIR > School of Management at National Central University > Graduate Institute of Industrial Management > journal & Dissertation > Item 987654321/99899

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Title:	The application of moderated hierarchical regression to the pond ecotourism development in Taiwan
Authors:	何應欽;Shieh, Wen-Ling;Lin, Wen-Chin;Ho, Ying-Chin;Wang, Wen-Bo
Contributors:	管理學院工業管理研究所
Date:	2012-10-01
Issue Date:	2026-04-21 13:40:24 (UTC+8)
Publisher:	Advanced Institute of Convergence Information Technology Research Center
Abstract:	摘要： It is difficult to maintain long-term tourism development if without local residents 'supporting, and without understanding residents' attitudes and opinions. This paper is a case study that sets out to explore the extent to which the pond residents of Taoyuan have attitudes and behavior intentions towards pond ecotourism ventures for sustainable development. The investigation of the attitudes and behavior intentions of the pond community residents was carried out using a questionnaire as research tool that was drawn up specifically for the needs of this study, and moderated hierarchical regression analysis. We investigated how two primary types of psychological philosophies, subjective norm and perceived difficulty, influence the relationship between the attitudes and behavior intentions. Significant findings were determined for these relationships. Age of pond resident doesn't affect to these relationships. The moderating effects of subjective norm and perceived difficulty showed that in some cases with certain attitudes, the inclusion or exclusion of subjective norm and perceived difficulty might cause worse or better behavior intention. Moreover, pond ecotourism development implications were also identified in this study. 出版日期： 2012-10 出處： Advances in Information Sciences and Service Sciences, 2012-10, Vol.4 (19), p.496-504 識別號： ISSN: 1976-3700 識別號： EISSN: 2233-9345 識別號： DOI: 10.4156/aiss.vol4.issue19.62
Appears in Collections:	[Graduate Institute of Industrial Management] journal & Dissertation

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