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Predicting the intentions to use chatbots for travel and tourism

机译:预测使用聊天旅游和旅游的意图

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摘要

As with other businesses, tourist companies are taking advantage of modern technologies. Chatbots are a recent technology that hotels, travel agencies, and airline companies are adopting. Despite this industry-wide implementation, there is no evidence about the factors that explain why consumers are willing to interact with chatbots. This work proposes a model to explain chatbot usage intention. The model and its hypotheses were tested by structural equations with the PLS technique. The study was conducted on a sample of 476 individuals who had travelled on vacation in the previous 12 months. The study reveals that the intentions behind using chatbots are directly influenced by the following factors: the chatbots' expected performance, the habit of using chatbots, the hedonic component in using them, the predisposition to using self-service technologies, the social influences, and the fact that the chatbot behaves like a human. The inconvenience and problems related to communicating with the chatbot were found to have a negative influence. Lastly, the possibility that chatbots could replace jobs had a surprisingly positive influence, and not a negative one.
机译:与其他企业一样,旅游公司正在利用现代技术。聊天是最近的一项技术,酒店,旅行社和航空公司正在采用。尽管实现了这种行业的实施,但没有证明为什么消费者愿意与聊天互动互动的因素。这项工作提出了一种解释Chatbot使用意图的模型。通过具有PLS技术的结构方程测试模型及其假设。该研究进行了在前12个月在假期旅行的476个人的样本上进行的。该研究表明,使用Chatbots背后的意图直接受到以下因素的影响:聊天的预期绩效,使用聊天的习惯,使用它们,使用自助技术,社会影响的易感性,以及使用自助技术,社会影响和社会影响Chatbot表现得像人类一样。发现与聊天沟通有关的不便和问题具有负面影响。最后,聊天人可以取代工作的可能性令人惊讶的积极影响,而不是消极的影响。

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