心理学
计划行为理论
集体主义
结构方程建模
社会心理学
规范(哲学)
透视图(图形)
价值论
价值(数学)
环境保护主义
控制(管理)
个人主义
数学
经济
市场经济
政治
政治学
统计
管理
法学
几何学
作者
Cen-Peng Wang,Qi Zhang,Philip Pong Weng Wong,Lei Wang
标识
DOI:10.3389/fpsyg.2023.1139116
摘要
The theory of planned behavior (TPB) has dominated the limited number of green hotel visitation studies; however, those studies' findings are often inconclusive or even controversial. Thus, research needs to move beyond using the TPB to measure consumers' intention and behavior, and to experiment with alternative theoretical frameworks to explain behavioral change. Value-belief-norm theory of environmentalism (VBN) proposed that various facets of values can influence individuals' beliefs, subsequently effecting their moral obligations, ultimately, their pro-environmental behaviors. Hence, this study aims to examine the relationship between value components (i.e., biospheric, altruistic, collectivistic), beliefs (i.e., explicit and implicit attitude), norms (i.e., social and personal norm), and green purchase intention to visit green hotels.An online survey of convenience sampling technique was adopted for data collection. A total of 373 valid questionnaires were subjected to descriptive analysis, and confirmatory factor analysis and structural equation modeling were performed for the testing of the hypotheses.The results suggested that biospheric and collectivistic value positively influence explicit environmental attitude while altruistic value positively influences intrinsic environmental attitude, but negatively influences extrinsic environmental attitude. Social norm was shown to have a positive impact on personal norm and green purchase intention. Furthermore, implicit environmental attitude was shown to influence personal norm and intention, while personal norm positively influences green purchase intention to visit green hotels.This study provided an alternative perspective on the selection of green hotels among consumers based on value-belief-norm theory in the tourism literature. These empirical findings would greatly benefit green hotel managers and other key stakeholders in the hospitality industry.
科研通智能强力驱动
Strongly Powered by AbleSci AI