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首页> 外文期刊>International Journal Modelling in Operations Management >Predictors of the intention to adopt mobile tourism shopping among Malaysian consumers: a partial least squares-structural equation modelling (PLS-SEM) approach
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Predictors of the intention to adopt mobile tourism shopping among Malaysian consumers: a partial least squares-structural equation modelling (PLS-SEM) approach

机译:马来西亚消费者中采用移动旅游购物的意愿的预测因素:偏最小二乘结构方程模型(PLS-SEM)方法

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摘要

>The main objective of this research is to investigate the predictors affecting the adoption of mobile tourism shopping among Malaysian consumers, which is an emerging new trend to shop for tourism products and services. Constructs from mobile technology acceptance model (MTAM), unified theory of acceptance and use of technology model (UTAUT) and theory of planned behaviour (TPB) were incorporated in the research model with the ultimate aim of investigating which factors have a significant impact on the adoption of mobile tourism shopping. Using empirical data from 271 completed responses and partial least squares-structural equation modelling (PLS-SEM) approach, only attitude, environment factor and mobile usefulness are significant with adoption. The findings of this research have provided practical and valuable insights to the hospitality industry by shedding light on which factors best serve as motivators for consumers to adopt mobile tourism shopping.
机译:>这项研究的主要目的是调查影响马来西亚消费者采用移动旅游购物的预测因素,这是购物旅游产品和服务的新兴趋势。从移动技术接受模型(MTAM),技术模型接受和使用的统一理论(UTAUT)以及计划行为理论(TPB)的构建被纳入研究模型,其最终目的是调查哪些因素对项目的影响重大。通过移动旅游购物。使用来自271个完整响应的经验数据和偏最小二乘结构方程模型(PLS-SEM)方法,只有态度,环境因素和移动有用性才被采用。这项研究的发现通过揭示哪些因素最能促使消费者采用移动旅游购物的动机,为酒店业提供了实用且有价值的见解。

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