当前位置: X-MOL 学术Tour. Manag. Perspect. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An intelligent travel technology assessment model for destination impacts of tourist adoption
Tourism Management Perspectives ( IF 7.3 ) Pub Date : 2021-10-09 , DOI: 10.1016/j.tmp.2021.100882
Noppadol Phaosathianphan 1 , Adisorn Leelasantitham 1
Affiliation  

As intelligent travel technology creates a business trend to support the travel and tourism industry, it is necessary to create a complete model to assess the users in terms of continuous user acceptance and destination impacts which are Competitiveness, Loyalty, and Sustainability with entire stakeholders (travellers, service providers, and destinations). The proposed conceptual model is formulated based on four studies: A Plenary Free Individual Traveler Life Cycle, IS Success, IS Continuance, and Destination Impacts of Travel and Tourism. The sample and data collections were done through the online questionnaire and survey via social media platforms such as Facebook and Line with individuals who have used intelligent personal assistants such as Google Assistant, Apple Siri, Microsoft Cortana, Amazon Alexa, and Samsung Bixby for travel and tourism. 400 respondents were analyzed with descriptive statistics and inferential statistics using the measurement model and the structural model by PASW Statistics and SmartPLS.



中文翻译:

旅游采用目的地影响的智能旅游技术评估模型

由于智能旅行技术创造了支持旅行和旅游业的商业趋势,因此有必要创建一个完整的模型来评估用户的持续用户接受度和目的地影响,即与所有利益相关者(旅行者)的竞争力、忠诚度和可持续性、服务提供商和目的地)。提议的概念模型是基于四项研究制定的:全会自由个人旅行者生命周期、IS 成功、IS 延续以及旅行和旅游的目的地影响。样本和数据收集是通过在线问卷和调查通过 Facebook 和 Line 等社交媒体平台与使用过智能个人助理(例如 Google Assistant、Apple Siri、Microsoft Cortana、Amazon Alexa、和三星 Bixby 用于旅行和旅游。使用 PASW Statistics 和 SmartPLS 的测量模型和结构模型,对 400 名受访者进行了描述性统计和推理性统计分析。

更新日期:2021-10-09
down
wechat
bug