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The purpose of the study was to discover the relative importance of influencing factors toward booking a cruise vacation. Based on a review of literature, this study focused on exploring the relative importance of six influential factors in cruise customers’ decision-making process: cruise vacation price, cruise duration, distance from the cruise port, itineraries, environmental friendliness of cruise line and cruise online reviews.

The complexity of cruise customers’ decision-making process for involving these six attributes with several levels was examined with choice-based conjoint (CBC) analysis. CBC was selected due to its realistic approach to purchase decisions, in the form of trade-offs. The online survey collected data anonymously. The survey was distributed through Amazon’s Mechanical Turk (Mturk) platform. The sample consisted of 450 cruise customers, who had experienced a cruise vacation before.

The findings of the study showed that online reviews were the most influential attribute for cruise customers in their cruise decision, followed very closely by the environmental friendliness of the cruise line. The next influential factor was the duration of the cruise vacation, which was followed by distance from the cruise port, cruise itinerary and cruise vacation price. The best and the worst cruise vacation profiles were generated based on the CBC analysis.

The findings of this study provide some insights with regard to cruise customers’ importance about influencing factors when deciding on a cruise vacation.

The research provides insides in understanding the influential factors at the last stage of cruise customers’ decision-making process. In this regard, cruise industry can pay more attention in promoting the attributes of a cruise offer as influential factors. Additionally, the findings of this study contribute to the general knowledge about cruise customers’ decision-making process.

This paper aims to provide a comprehensive review of research on robotics in travel, tourism and hospitality, and to identify research gaps and directions for future research.

This paper analyzes 131 publications published during 1993-2019, identified via Scopus, Web of Science, ResearchGate, Academia.edu and Google Scholar. It offers quantitative analysis of frequencies and cross-tables and qualitative thematic analysis of the publications within each of seven identified domains.

The paper identifies “Robot,” “Human,” “Robot manufacturer,” “Travel/tourism/hospitality company,” “Servicescape,” “External environment” and “Education, training and research” as the research domains. Most research studies are dedicated to robots in restaurants, airports, hotels and bars. Papers tend to apply engineering methods, but experiments and surveys grow in popularity. Asia-Pacific countries account for much of the empirical research.

The analysis was limited to publications indexed in four databases and one search engine. Only publications in English were considered. Growing opportunities for those who are anxious to publish in the field are identified. Importantly, emerging research is branching out from the engineering of robots to the possibilities for human/robot interactions and their use for service providers, opening up new avenues of research for tourism and hospitality scholars.

The paper identified a myriad of application areas for robots across various tourism and hospitality sectors. Service providers must critically think about how robots affect the servicescape and how it needs to be adjusted or re-imagined to ensure that robots and employees can augment the service experiences (co-)created within it.

This is the first study to systematically analyze research publications on robotics in travel, tourism and hospitality.

本论文全面评论了在旅游酒店业中的机器人技术的研究, 并指出文献缺口和未来研究方向。

本论文分析了在1993年至2019年发布在Scopus、Web of Science、ResearchGate、Academia.edu、和Google Scholar的131篇文献。本论文对文献做了一系列定量分析, 包括频率分析、交叉表、定性文本分析、在七大确立的领域中对每个领域的文献进行分析。

本论文确立了七个研究领域：机器人、人类、机器生产者、旅游酒店企业、Servicescape、外部环境、和教育培训和研究。大多数文献集中在对饭店、机场、酒店、和酒吧的机器人研究。文献往往采用工程手段进行研究, 但是实验和问卷方式正在呈增长趋势。亚太国家占据大多数实证研究作品。

本论文样本库局限于四个数据库和一个搜索引擎。只有英文文献被采样。本论文为对相关领域感兴趣的学者指出研究方向。重要的是, 本论文发现用工程角度研究机器人的文献有了分支, 有一小部分文献开始着手研究人/机器人交互和其在服务过程中的使用的研究, 这对旅游酒店学者提供新研究视角。

本论文指出了一系列有关旅游酒店领域中机器人的应用。服务商必须重视机器人如何影响Servicescape以及如何审视机器人与人的交互, 确保其与员工加强消费者的服务体验（价值共创）。

本论文是首篇系统评论旅游酒店领域中机器人研究文献的文章。

关键词：机器人、机器人经济、机器人设计、机器人使用、Servicescape、rService、人-机器人交互、研究议程

The purpose of this study is to explain the impact of innovation characteristics (relative advantage, compatibility, complexity and perceived risk) and individual differences (inertia, technology anxiety, need for interaction and previous experience) on customer intentions to adopt tablet-based menus in various restaurants settings.

An experimental design was used in this study to explore tablet-based menu acceptance intentions across three restaurant settings: quick-service, midscale and upscale. A total of 415 participants were randomly assigned to one of the three scenarios describing a dining experience. Each scenario placed participants in a restaurant setting where a tablet-based menu was a part of the guests’ dining experience.

The study results indicated that out of the four innovation characteristics, compatibility and relative advantage are strong predictors of adoption intention of tablet-based menus. Among customer individual differences, technology anxiety and need for interaction were not found to have a statistically significant impact on intentions to adopt tablet-based menus. It was also found that customers dining at quick-service and midscale restaurants are more likely to adopt tablet-based menus than customers dining at upscale restaurants.

Managers in quick-service and midscale restaurants may consider investing in tablet-based menus, as customers of these restaurant types demonstrate higher adoption intentions compared to the customers of upscale dining establishments. The results of this study suggest that upscale restaurants should plan carefully before switching to table-based menus.

The findings of this study may assist restaurant managers in recognizing the importance of customer acceptance of new technologies such as tablet-based menus, which will lead to informed decisions about implementing tablet-based menus in their establishments.

This study aims to explore virtual site visit adoption patterns of US convention facilities based on the diffusion of innovation (DOI) theory. Additionally, it offers predictive models of virtual site visit tool adoption by applying probability distributions.

The study used content analysis of 369 US convention facility websites. Data collected from the websites recorded the presence or absence of the following tools facilitating virtual site visits: photos, floor plans, videos, 360-photos, 360-tours and virtual reality (VR)-optimized tours. The website content analysis was followed by application of the DOI theory and predictive modeling.

According to the DOI theory, the use of VR-optimized tours (4.34%) is still in the early adoption stage, followed by 360-degree tours (12.74%) and standard videos (17.89%) that have transitioned into the early majority stage of adoption and photos (72.09%) and floor plans (84.82%) that represent a late majority stage. Three predictive models with shifted Gompertz, Gumbel and Bass distributions forecasted that convention centers would achieve a 50% adoption rate of 360-degree tools (photos and tours) in 4.67, 4.2 and three years, respectively. The same models predicted a 50% adoption rate of 360-degree tours in 6.62, 5.81 and 4.42 years.

The research indicates that most US convention facilities have not taken full advantage of their websites as a sales and marketing tool.

This study is the first comprehensive attempt to evaluate the adoption rate of VR and other technologies enabling virtual site visits by using content analysis of US convention facility websites. Additionally, it is the first attempt to apply probability distributions to predict technology adoption in the convention industry context.

The purpose of this paper is to compare customer perceptions of hotel and peer-to-peer (e.g. Airbnb) accommodation advantages and disadvantages and examine their influence on customer satisfaction and repurchase intentions. The advantages of each accommodation type are conceptualized through perceived travel experience authenticity, whereas the disadvantages are evaluated through the risks associated with staying at each accommodation type, including product performance risk, time/convenience risk and safety and security risk.

A cross-sectional survey was designed and disseminated to gather the data necessary to fulfill the study objectives. A total of 391 usable responses were collected for a multi-group analysis of the structural model designed to test the proposed relationships.

The multi-group comparison revealed similarities between the peer-to-peer (Airbnb) and hotel guest structural models. Model testing revealed a strong positive relationship between satisfaction and repurchase intention. Perceived authenticity was identified as a statistically significant satisfaction predictor for both accommodation types. Time/convenience and product performance risks were found to be insignificant predictors of guest satisfaction, while safety and security risk appeared to be statistically significant only in the Airbnb sample.

This study’s recruited sample represented a higher concentration of younger travelers, and, therefore, might only be generalized to the corresponding US traveler group population. Additionally, samples recruited via Amazon’s MTurk may be subject to self-selection bias as any other non-probability samples. Consequently, further research with a larger and more diverse sample is recommended.

It is recommended for both hotels and Airbnb to strengthen the authenticity of their accommodation offerings to provide a better guest experience and increase consumer satisfaction.

To develop the authenticity component, Airbnb hosts and hotels may offer local experiences to their customers, where guests would be able to engage with the community and to see and feel how the city lives. Such partnerships may not only improve the traveler experiences but also support the local community and strengthen the ties between local businesses.

This study contributes to the literature by advancing understanding of peer-to-peer (Airbnb) versus hotel accommodation consumer preferences. This study offers relevant theoretical constructs for assessing both accommodation types’ advantages and disadvantages.

Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

The purpose of this paper is to explore the main barriers and key issues that the hotel industry professionals face during the Payment Card Industry Data Security Standards (PCI DSS) compliance process. This paper will help to understand weaknesses and gaps in the PCI compliance process within the hotel industry that will provide a foundation to develop strategies and methods to address those issues in the future.

The paper presents an exploratory study using a two‐stage design. The first stage of the study was designed utilizing the Delphi technique to identify the issues that take place in the PCI compliance process in hotels. After analyzing the results of the first stage of the study, a list of PCI issues was compiled and incorporated in the web hosted questionnaire. In total, 30 hotel executives participated in the second stage of the study providing their evaluation of the importance of the identified PCI compliance issues.

A list of 20 PCI compliance issues that hotel executives face during the process was compiled as an outcome of the first stage of the study. The second stage of the study showed high‐financial cost of implementing and maintaining, lack of qualified staff, inadequate staff training, ambiguous terms in PCI DSS language, and lack of vendors' support and compliance to be the top five issues in PCI compliance in hotels.

The paper provides a useful insight into the issues that take place in the hotel industry during the PCI compliance process. This field has not been studied well in the literature. This paper presents the problems in PCI compliance that need to be addressed in order to make the process more efficient and effective.

Extended research efforts have been dedicated to understanding how different aspects of online surveys impact the response rate and quality of collected data. With the hope to yield higher response rates, leading survey software solutions (e.g., SurveyMonkey, Qualtrics, QuestionPro) introduced a new technique of embedding a question from an online survey into invitation emails sent to the respondents. The purpose of this chapter is to examine the impact of embedded questions on survey response rate and quality. The results of two experimental studies show that respondents are more likely to respond to a survey with an embedded question compared to an email without one. No statistically significant differences were discovered regarding data quality that was assessed via survey completion rate, respondent bias, and attention check questions. The chapter provides suggestions and guidelines for increasing online surveys' response rate and quality.

The primary purpose of this study is to investigate the impact of information security breaches on hotel guests' perceived service quality, satisfaction, likelihood of recommending a hotel and revisit intentions.

Five‐hundred seventy‐four US travelers participated in this experimental study. The respondents were exposed to one of three different scenarios: “negative”, where an information security breach happened in the hotel where a person stayed last and guest information was compromised; “neutral”, where an information security breach happened and guest information remained safe; and “positive”, where participants were told that the hotel where they last stayed successfully passed a comprehensive security audit, meaning that their guest information is properly handled and secured.

The results of the study revealed a significant impact of the treatments on three of the four outcome variables: satisfaction, likelihood of recommending a hotel, and revisit intentions. Information security breach scenarios resulted in a negative impact on the outcome variables regardless of whether or not the guest's credit card information was compromised. A positive scenario revealed a significant increase in guest satisfaction and revisit intentions scores.

The findings of the study provide clear indication that hotel operators must continually strive to keep the sensitive data that is collected from their guests secure, and that failure to do so can have significant negative ramifications on current and future guests. The results also suggest that hotels should openly publicize their achievements in the field of PCI compliance.

The study contributes to the body of knowledge on the importance of credit card information security breaches to hotel guest satisfaction and future behavior. To date, this is the only study that has investigated this topic in the hospitality industry, and it therefore makes a significant improvement towards the understanding of the impact of information security breach on hotel guest perceptions and future intentions.