Amjad Abu Elsamen , Anestis Fotiadis , Ali Abdallah Alalwan , Tzung-Cheng Huan
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引用次数: 0
Abstract
This research utilizes the Norm Activation Theory to explore tourists' pro-environmental behavior. The study has two parts: the first qualitatively explores constructs predicting visitors' pro-environmental behavior, while the second quantitatively measures pro-environmental behaviors and individual attitudes through a survey. Since augmented reality (AR) is transforming sustainable tourism by offering interactive educational experiences, during EXPO 2020 in Dubai, 1506 participants who engaged with AR were surveyed electronically from October 2021 to May 2022. Partial least squares structural equation modeling (PLS-SEM) was used to test hypotheses. The results suggest that tourists' environmental values and sensitivity enhance their responsibility aspirations, with awareness of tourism's negative environment and mitigation knowledge moderating the effects of responsibility aspirations on personal norms and pro-environmental behavior, respectively, while personal norms mediate the relationship between responsibility aspirations and pro-environmental behavior. These insights are valuable for tourism stakeholders, policymakers, and organizations aiming to promote environmental sustainability in the industry.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.