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This study aims to examine technology adoption practices in Chinese theme parks by leveraging text mining and sentiment analysis approaches on actual theme park customers’ online reviews.

The study text mined a total of 65,518 reviews of 490 Chinese theme parks with the aid of the Python program. Further, it computed sentiment scores of the customer reviews associated with the ratings of each categorized technology practice applied in the theme parks.

The study identified two major categories of technology applications in theme parks: supporting and experiential technologies. Multiple statistical tests confirmed that supporting technologies consisted of three types: intelligent services, ticketing and in-park transportation. Experiential technologies further included five aspects of technologies according to Schmitt’s strategic experiential modules (SEMs): sense, feel, act, think and relate.

The study findings contribute to the current understanding of theme park visitors’ perceptions of technology adoption practices and provide insightful implications for theme park practitioners who intend to invest in high technology solutions to deliver a better customer experience.

通过对游客的在线评论进行文本挖掘和情感分析, 本研究论旨在探索在中国主题公园中科技采用的行为。

本研究运用Python 程序一共挖掘了来自490 中国主题公园的65,518 条评论。本研究进一步计算了在主题公园中与科技运用有关在线评论的情感指数。

本研究发现了在主题公园科技应用的两大主要分类：辅助和体验科技。辅助科技包括三种：智慧服务, 售票, 和园中运输。根据Schmitt 战略体验模块（SEMs): 体验科技进一步包括科技的五大方面：感官, 感觉, 思考, 和联系。

本研究对了解目前主题公园游客对科技使用行为的看法提供了见解, 以及对主题公园有意向投资科技来提高客户体验的从业人员提供了深远意义。

This study aims to identify travelers’ motivational factors to adopt augmented reality (AR) applications at tourism destinations. Furthermore, this study seeks to investigate the role of personal innovativeness as a moderator in the relationships between motivations and travelers’ behavioral outcomes.

Building upon two theories, cognitive evaluation theory and self-presentation theory, this study developed a conceptual framework to identify travelers’ inclination to use AR applications at tourism destinations. A sample size of 473 was collected through an online self-administered survey. Using partial least square (PLS) analysis, the proposed model was examined. To examine the moderating effect of personal innovativeness, a multi-group analysis was conducted with two groups: high-innovative and low-innovative. PLS method is used to test the study’s theoretical model.

Findings of this study indicate that both hedonic and utilitarian motivations significantly influenced travelers’ attitudes toward AR applications at tourism destinations. Self-presentation motivation appears to have a significantly positive impact on travelers’ attitudes toward AR applications only for the highly innovative group.

This study helps a better understanding of what motivates travelers to adopt AR applications at tourism destinations by integrating preeminent theories and applying them to the tourism context.

本论文旨在指出游客在旅游目的地使用AR的驱动因素。此外, 本论文旨在研究个人创新性在驱动因素与游客行为结果之间的调节作用。

本论文采用认知评价理论和自我表现理论作为理论基础, 建立了一个显示游客在旅游目的地使用AR应用的驱动力理论模型。本论文通过在线问卷共搜集473份数据。样本分析采用PLS分析法来验证理论模型。为了检验个人创新性的调节作用, 多组分析法在高创新性vs低创新性两组中进行。

研究论文结果显示享乐型价值和实用型价值都对游客在旅游目的地使用AR的态度有显著作用。自我表现激励因素只对高创新性游客组对AR态度有着显著作用。

本论文通过整合理论, 将其应用到旅游情境中, 解释了游客为何在旅游目的地使用AR的行为。