通过预测移动旅游应用程序的采用,发现其对环境挑战的影响:SEM-NCA 方法

Q2 Environmental Science Environmental Challenges Pub Date : 2024-10-09 DOI:10.1016/j.envc.2024.101028
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引用次数: 0

摘要

本研究调查了孟加拉国采用移动旅游应用程序的影响因素及其对免受环境挑战的影响。研究利用结构方程建模(SEM)和必要条件分析(NCA),探讨了各种预测因素如何影响旅游应用程序的采用意向(IATA),并进而影响免受环境挑战的结果(FEC)。SEM 结果显示,感知有用性 (PU)、技术文化交流 (CET)、社交娱乐 (SAE) 和游客生活方式 (TL) 显著增强了 IATA,而 IATA 对 FEC 有很大的积极影响。相反,对技术的态度(ATT)和政府支持角色(GSR)对采用的影响有限。NCA 将 CET、IATA、SAE 和 TL 确定为关键预测因子,具有中等至较大的效应大小,尤其是在较高阈值时,表明它们是主要瓶颈。政府支持作用和游客技术准备程度的影响较小。这些发现为开发者和政策制定者提供了宝贵的见解,使他们能够专注于提高移动旅游应用程序的感知价值、文化交流和生活方式兼容性,从而提高采用率并有效应对环境挑战。
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Uncovering the impact on environmental challenges through the predictors of m-tourism apps adoption: SEM-NCA approaches
This study investigates the factors influencing the adoption of m-tourism apps in Bangladesh and their impact on being free from environmental challenges. Utilizing Structural Equation Modeling (SEM) and Necessity Condition Analysis (NCA), the research explores how various predictors affect the Intention to Adopt Tourism Apps (IATA) and, subsequently, the outcome of being free from environmental challenges (FEC). SEM results reveal that Perceived Usefulness (PU), Cultural Exchange of Technology (CET), Social Amusement and Entertainment (SAE), and Tourists' Lifestyles (TL) significantly enhance IATA, with IATA having a strong positive impact on FEC. Conversely, Attitudes Towards Technology (ATT) and Government Supportive Roles (GSR) show limited influence on adoption. NCA identifies CET, IATA, SAE, and TL as critical predictors with medium to large effect sizes, particularly at higher thresholds, indicating their role as major bottlenecks. Government Supportive Roles and Tourist Technology Readiness are less influential. These findings offer valuable insights for developers and policymakers to focus on enhancing the perceived value, cultural exchange, and lifestyle compatibility of m-tourism apps to improve adoption rates and effectively address environmental challenges.
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来源期刊
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
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