计划行为理论
答辩人
营销
款待
业务
技术接受模型
旅游
酒店业
知识管理
结构方程建模
新兴技术
计算机科学
控制(管理)
可用性
人机交互
人工智能
机器学习
政治学
法学
作者
Sujood Sujood,Naseem Bano,Samiha Siddiqui
出处
期刊:Journal of hospitality and tourism insights
[Emerald (MCB UP)]
日期:2022-11-19
被引量:25
标识
DOI:10.1108/jhti-06-2022-0267
摘要
Purpose This study used an integrated framework that incorporates the technology acceptance model (TAM) (Davis, 1989), the theory of planned behavior (TPB) (Ajzen, 1991) and trust to examine factors that mainly influence consumers' intention towards the use of smart technologies in tourism and hospitality (T&H) industry. The Internet of things (IoT), artificial intelligence (AI), virtual reality systems, augmented reality systems, etc. are the Smart 4.0 technologies generally used in T&H industry these days. Design/methodology/approach Convenience sampling approach was employed in this study. Data were collected over the Internet using a survey instrument by posting the questionnaire link on social network web pages of travel agencies from November 10, 2021, to December 30, 2021. In the opening statement of the questionnaire, we have explained about the Smart 4.0 technologies so that every respondent could understand what we mean by Smart 4.0 technologies. Findings The findings show that conjoining the TAM and the TPB with trust resulted in a robust model for explaining customers' intention toward using smart technologies in the T&H industry. Research limitations/implications Smart technologies have become one of the most profitable e-commerce applications. This study examines and integrates the various advantages of smart technologies for the consumers in T&H industry, as well as providing insight into the intentions of Indian consumers. Hence, this study gives significant information to IT companies, online travel agencies, tour operators, travel agents, T&H planners and other stakeholders on Indian consumers' behavioral intentions (BIs). Originality/value This study tested the utility of the extended model in predicting consumers' intention towards the use of smart technologies in T&H industry. As far as the authors' knowledge is concerned, this is the first study that predicted intention of Indian consumers towards the use of smart technologies in T&H industry by integrating TAM, TPB and trust.
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