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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 investigate the impact of the speed of change (trend) in information technology (IT) expenditures on performance risk indicated by revenue volatility in the US hotel industry.

To systematically investigate the impacts of IT expenditures on hotel performance risks, this study collects the same store proprietary data of 1,471 hotel properties from CBRE, a leading hotel consulting firm in the USA, from 2011 to 2017, with a total of 10,297 observations.

Econometric analyses are performed and results indicate a significant and positive impact of the speed of change of IT systems expenditures on the performance risk after comprehensively controlling for confounding factors following prior research.

With the increased importance of IT in day-to-day activities, hospitality business owners have started to quickly adjust their investment in IT infrastructure and superstructure to enhance their business performance. However, their fast-changing expenditures may introduce more risks to their businesses based on the speed–accuracy tradeoff, systems theory and the Schumpeterian Growth Model. This study is one of the pioneer projects that ever assessed the impact of IT expenditure and speed of change on performance risks of hotels.

科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。

本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。

科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。

研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。

大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not.

This study is based on an event study using data from two stock markets in China.

The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along.

This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets.

Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

Through a theoretical lens of psychological ownership, this study aims to investigate how technology mindfulness may stimulate metaverse tourism users’ feelings of individual psychological ownership, aesthetic value and conversational value, which in turn fosters intention to engage in prosocial behaviors.

The study used a scenario-based survey that allowed U.S.-based participants to create their own avatars and imagine using their avatars to explore heritage sites in the metaverse. Structural equality modeling was applied for data analysis.

The results from 357 valid responses indicate that technology mindfulness arouses tourists’ individual psychological ownership, aesthetic value, conversational value and prosocial behavioral intentions. The moderating role of biospheric value orientation on willingness to donate and intention to volunteer is investigated.

The research sheds light on the significance of technology mindfulness, conversational value and psychological ownership perspectives in the metaverse, which have been previously overlooked. The authors used a scenario-based survey for mental stimulation due to current metaverse technology limitations.

The study is one of the first to explore the possibility of encouraging prosocial behaviors using metaverse-facilitated technology. The research offers guidelines to engage hospitality and tourism customers in the metaverse that can blend their virtual experiences into the real world.

This study represents one of the pioneering efforts to gain an in-depth understanding of the application of metaverse in triggering prosocial behavior toward heritage sites, explained via a technology mindfulness-driven model with a psychological ownership perspective.

The purpose of this paper is to introduce and explore blockchain technology and its potential implementation to hospitality and tourism firms’ wide range of business operations and transactions from a technological and functional point of view. This study’s central interest is to produce novel and rigorous in-depth-review analysis and foundations for a broad discussion and outlook on the potential applications of blockchain technology benefiting hospitality and tourism research, as well as the industry as a whole.

This study identifies and proposes several potential areas of the adoption and implementation of blockchain technology to the hospitality and tourism industry, including payment and cryptocurrencies, tracking and service customization, the disintermediation of hospitality and tourism, innovative loyalty programs, smart contracts, integrated property management systems, verified rating and review systems, collaborative initiatives and due diligence and smart tourism, each of which represents fertile avenues for future research.

This paper provides extensive critical discussions, reviews and answers to a fundamental question: “What critical functions of Blockchain mechanisms can be implemented to the existing core operational (i.e. booking and reservation systems, guest management, etc.) and business functions (i.e. loyalty/reward programs, agent transactions, etc.) of hospitality and tourism companies?”.

Future studies should specifically delve further into various angles of this “BizTech” environment based not only on business operations and competition but also on vendor and customer collaboration.

This study intends to serve as a guidance for future research, facilitate knowledge accumulation and create a new understanding and awareness in both practice and academia. One of the most important applications of blockchain in this industry would be that pertaining to direct booking, online reservation systems (i.e. airlines and online travel agencies) and check-in/out with digital identities. With industry-wide blockchain adoption, guests’ personal information can be digitally validated, saved and secured as previously established cryptographically secured codes verify one’s identity without disclosing essential personal information.

It is obvious that the hospitality and tourism industry needs urgent technological transformation, industrial innovations and new growth avenues such as the adoption of blockchain technology and systems to maintain its global market share in the future. Therefore, the implementation of blockchain systems can promote the formation of multi-center (i.e. guest operations and customer service), weakly intermediated (i.e. loyalty programs and/or review and rating systems) areas in this industry.

This paper aims to explore the factors that influence Generation Y’s positive or negative electronic word-of-mouth (eWOM) behavior via social media and mobile technology in the foodservice sector. Three types of dining experiences were examined: positive and negative customer experiences and negative customer service followed by a satisfactory recovery package.

A survey was adopted to test the factors posited to influence Generation Y consumers in these service contexts. Participants were recruited through Amazon Mechanical Turk , and multi-group structural equation modeling was performed to analyze the data.

Active use of social media and peer influence had a sweeping influence on Generation Y’s intentions to engage in eWOM about their service experiences. Technological sophistication with mobile technology influenced Generation Y to spread positive or negative service experiences, rather than satisfactory recovery experiences. Family influence had a mixed influence on Generation Y subgroups (21-24 years old vs 25-35 years old) to engage in eWOM about their satisfactory or poor service experiences. In satisfactory recovery experiences, family influence showed no significant influence on Generation Y’s eWOM behaviors.

This study enriches online reviews and eWOM marketing theories, adds to service failure and recovery literature and enhances understanding of consumer behavior expressed by Generation Y through the empirical investigation of Generation Y consumers’ behavioral motivations to engage in eWOM through social media and mobile technology.

Engaging Generation Y consumers with social media campaigns and mobile technology development is not merely sufficient in eWOM marketing strategies. Instead, it is essential to create integrative peer communities to motivate Generation Y consumers to engage in eWOM marketing. Marketers need to pay attention to the mixed effects of family influences on the eWOM behaviors of subgroups of Generation Y in positive or negative service experiences.

Given the scarcity of consumer behavior research into Generation Y as an emerging market segment, this paper makes an incremental contribution by developing and validating a model of factors that influence Generation Y consumers’ eWOM intentions through social networking and mobile technologies in three major service contexts: positive, negative and recovery following a service failure.

In the contemporary hospitality industry, superior customer experiences are essential in gaining customer loyalty and achieving a competitive advantage. However, limited research addresses this subject. The purpose of this study is to advance scholarly research on customer experience management (CEM) in the hospitality field by providing a comprehensive overview of the key elements of CEM, a framework for managing customer experience and a rich agenda for research.

An extensive literature review produces a comprehensive overview of the existing knowledge of CEM. A synthesis of previous literature reveals the need for additional, contemporary information sources. The study is, therefore, supplemented by invited commentaries on CEM from senior scholars and hospitality managers.

The proposed model takes a holistic perspective on managing a positive customer experience, through collaboration among marketing, operations, design, human resources and strategy, in association with technology and social media.

The literature review and commentaries from leading experts reveal six areas for further research on CEM in the hospitality industry.

This study provides a comprehensive, systematic review of CEM literature and detailed understanding of the mechanisms for managing customer experiences in the hospitality industry. It integrates state-of-the-art CEM knowledge in the generic business context, along with principles of hospitality management, and advances CEM research by emphasizing the need for collaboration among marketing, operations and human resources.

This paper aims to explore theme park visitors’ attitudes toward interacting with robots and investigated the qualities and functions of robotic servers and their influence on customers’ loyalty. A structural equation modeling approach was used to identify the complex relationships among variables in the entire network.

An online survey randomly assigned respondents to four different robotic server scenarios with robots that look like humans, animals, cartoon characters and anime features. The influence of robot types was investigated by manipulating robot type with four different pictures; however, the data were analyzed with a structural equation modeling model to identify the complex relationships rather than one-way analysis of variance to identify influences of robot types on different variables in separate analyzes.

The data collected from the 385 experienced theme park visitors revealed that perception of robots with human orientation and safety qualities had the strongest effect on the perceived robotic functionality, while emotions and co-creation qualities hardly had any effect on the perceived functionality, which included utilitarian rather than experiential functions such as excitement. Human orientation qualities, regardless of the specific robotic design, had a significant impact on perceived robotic functionality. The study also revealed a strong positive influence of perceived robotic functionality on customer loyalty.

The debate of whether or not to introduce and blend the growing robotic technology into the theme park experience is in its infancy. The study contributes to the theory of how robotics qualities and functions can augment customer loyalty.

The purpose of this study is to present a holistic literature review on crime research in the hospitality and tourism field.

This literature review included 109 crime-related academic papers in seven primary sources, namely, ScienceDirect, EBSCOhost’s hospitality and tourism complete, Emerald Management eJournals, Sage Journals, Google Scholar, Scopus and Web of Science.

From the exploration and synthesis of 109 articles, the following categories of crime research in the hospitality and tourism field emerged as follows: classification of crime research in the hospitality and tourism field; diversity of tourists, crime and risk perceptions; the impacts of crime on the hospitality and tourism industry; and crime control from stakeholders’ papers. In addition, this study advances crime research by proposing six research priorities for future investigation.

Tourism stakeholders are advised to achieve better cooperation in crime control under the guidance of the crime prevention model. High-technology tools are encouraged to be applied to detect and track criminal activities. Meanwhile, diverse applications of the media should be used as useful tools to control criminal activities in the hospitality and tourism industry.

This paper fills a gap by presenting the first comprehensive overview of crime research in the hospitality and tourism field in the past few decades and proposing six priorities for this research stream.

This study aims to identify different approaches to conceptualize value co-creation and analysing firms’ co-creation strategies aided by various advancing technologies. This study further discusses the strengths and weaknesses of these strategies and suggests solutions to overcome the limitations.

Following a critical literature review, the authors propose a conceptual framework to denote the relations between evolving technologies and co-creation activities.

On one hand, technology influences the co-creation processes by empowering consumers, offering greater ability to connect, providing greater access to information and furnishing a platform that facilitates co-creation; on the other hand, technological advancements may add complexity, variability and lead to loss of control for service organizations. A role of customers and value definitions are identified and elaborated in the value co-creation process.

Advanced information and communication technologies transcend the traditionally defined service encounters by enabling co-creating actors to exchange resources through virtual interfaces, thus redefining the strategies of value co-creation. Though many studies have discussed value co-creation in diversified standpoints, a perspective from its relationship with technological progression over time remains nascent. The study contributes to a more comprehensive understanding of technology-enabled value co-creation in service ecosystems.