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Archaeological heritage tourism has great potential for development in numerous destinations. However, literature on archaeological heritage tourism is scarce and empirical data are minimal. This paper aims to identify the main themes shared in online reviews by tourists, as well as identify factors known as satisfiers and dissatisfiers based on Herzberg’s two-factor theory among tourists who visited Petra UNESCO heritage site.

The research used content analyses to analyse 1,419 tourist’s online reviews on TripAdvisor. Leximancer software provided computer-assisted qualitative data analysis that pinpoint the dominant themes, after which further qualitative analysis found the main narratives associated with different satisfaction groups.

Successively, seven themes were revealed: entrance, trip, monastery, buildings, animal, carriage and safe. Furthermore, a four-dimensional model was postulated to help understand the components and flow of visitors’ experiences in an archaeological heritage site. In addition, the findings of the study revealed that tourists who scored their experience as 4 (very good) or 5 (excellent) (satisfiers) commonly shared perceptions about architecture, buildings, safe, temples, monasteries, tours, tombs and helpful. Contrarily, reviewers that rated their experience as 1 (terrible) or 2 (poor) (dissatisfiers) shared narratives around concepts such as expensive, animals, carriages, locals and shops.

The results offer valuable understandings of cultural heritage tourists’ overall experiences based on TripAdvisor reviews and facilitate the identification of the dominant themes associated with drivers of tourists’ satisfaction/dissatisfaction.

Sustainable tourism is becoming more popular all over the world. Eco-friendly (green) hotels are properties that are friendly to the environment and are becoming increasingly popular among green travellers. Electronic word-of-mouth is a technique of communicating with consumers in order to share their experiences, and it is a significant marketing tool for hotels. This paper aims to identify the main themes shared in online reviews by tourists visiting eco-friendly hotels, and which of these themes were associated with satisfaction and dissatisfaction ratings.

The research used qualitative content analyses to analyse 1,202 user-generated content of the top 10 hotels in UK shared by guests on an online platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are “hotel amenities”, “services”, “location”, “staff”, “eco” (eco-friendly activities), “value” and “recommend/revisit” (intentions). Negative comments are associated with the “bathroom”, “mattress”, “water”, “bed”, “price”, “shower”, “Wi-Fi” and “restaurant” concepts.

This study differs from previous research in which it aims to address a void in the literature on the shortcomings of research focused on finding the dominant themes expressed in online reviews by tourists visiting eco-friendly hotels, and it does so using data mining approach.

This study aims to explore the perspectives of patrons and the underlying factors influencing luxury consumption in British Michelin-starred restaurants. While numerous studies have investigated consumers' purchase behavior of luxury items, there is limited research focusing on the utilization of premium restaurant services. Additionally, the hospitality literature has rarely addressed the emergence of discreet luxury consumption. Therefore, this research aims to examine the experiences of British Michelin-starred restaurants by incorporating online reviews from some of the most renowned establishments in the country. The initial objective of this study was to identify the predominant themes within British Michelin-starred restaurant experiences. Furthermore, the authors sought to analyze whether these main themes varied across different market segments based on guest types.

Using text mining tools, the authors analyzed a sample of 4,393 online reviews. Qualitative data analysis was conducted using the Leximancer program, which identified the dominant themes. Additionally, the authors performed an analysis to identify the major narratives associated with different types of guests.

The results of this analysis demonstrate that guests express a high level of satisfaction with their experiences at British Michelin-starred restaurants. The dominant themes within the narratives include food, wine, restaurant, time, reservation and innovation. It is important to note that these narratives vary depending on the type of guest.

Previous studies have highlighted the importance of market segmentation in Michelin-starred restaurants. This research addresses this need by specifically categorizing British Michelin-starred restaurants based on traveler type and the main concerns of their customers. The extensive data the authors collected and the authors' approach to utilizing guests' testimonials instead of traditional surveys contribute significantly to the field of academia and restaurant management.

Following the remarkable debut of ChatGPT and its rapid adoption by a global audience since its launch in November 2022, this study delves into educators' perceptions of ChatGPT within the specialized domains of tourism and hospitality education. While acknowledging ChatGPT’s swift rise and advanced capabilities, this research aims to comprehensively explore educators' perspectives, advantages and concerns regarding its integration into academic settings.

A qualitative approach was utilized to reveal dominant themes from in-depth, semi-structured face-to-face interviews with twenty lecturers in tourism faculties in North Cyprus. Collected responses from respondents were subjected to analysis using Leximancer software.

Our analysis unearthed seven significant themes encapsulating educators' perceptions of ChatGPT: 1 – “reliability and accuracy concerns”; 2 – “dependency”; 3 – “student engagement”; 4 – “ethical considerations”; 5 – “time efficiency and productivity”; 6 – “teacher-student interaction” and 7 – “learning flexibility”. Noteworthy positive perceptions emerged regarding “student engagement,” “time efficiency and productivity,” and “learning flexibility.”

This study contributes to the originality of research by addressing the underexplored aspect of educators' perceptions of ChatGPT within the domains of tourism and hospitality education, shedding light on its potential implications, advantages and drawbacks in a specialized educational context. Furthermore, it aims to offer insights into educators' recommendations for the effective incorporation of ChatGPT technologies into this specific educational setting, filling a crucial gap in understanding the integration of artificial intelligence (AI) in specialized fields of study.

Although a vast amount of research has been started to gauge customer satisfaction using surveys, the influence of COVID-19 on passengers' satisfaction has not received enough attention. Hence, the primary purpose of this research is to determine the dominant themes that emerged from airline travelers' online reviews and to determine attributes that are pertinent to the satisfaction of passengers flying with low-cost carriers (LCC) during the COVID-19 outbreak. In addition, this study investigates whether the salient themes of passengers' overall experiences vary by traveler origin, which may give more insight into airline sector market segmentation.

Leximancer software was used to construct concepts from words, followed by themes in the data analysis.

The analyses revealed eight themes in descriptions of “travel experiences” for airline passengers. These are “flights,” “staff,” “service,” “hygiene,” “cancellations,” “legroom,” “COVID-19” and “test”. Negative reviews associated with “cancellations,” “refund,” “waiting” and “baggage” (handling) concepts.

The findings provide important information about airline passengers' overall experiences. Limited studies have comprehensively considered various satisfaction categories of airline travelers using online reviews.

Capsule hotels are a revolutionary Japanese concept of lodging that dates back over four decades. On the other hand, capsule hotels are a relatively new concept for most travelers outside of Japan. Organizations within this target segment are starting to recognize the critical role that an excellent customer experience management (CEM) strategy offers in improving competitiveness and organizational success. Thus, this research provides scholastic insight into the framework of CEM by evaluating the user-generated content at capsule hotels.

This study inspected 1,304 online user-generated content from the top 10 capsule hotels from Booking.com. Leximancer 4.5 was deployed to analyze the data.

The analyses revealed nine key themes to CEM of capsule hotels which are “staff,” “hotel,” “area,” “location,” “bed,” “capsule,” “check-in,” “noisy” and “luggage”.

This research encourages hospitality and tourism executives to develop specific strategies for capsule hotels.

This research differs from previous writings in that it attempts to fill a gap in the research by offering insight into the issue in the low-budget hotel industry and by identifying key indicators that influence customer experience.

This paper investigates the consequences of job insecurity among hotel employees during the COVID-19 pandemic.

Data were obtained from the employees of two five-star chain hotels in Turkey. The study hypotheses were tested via structural equation modeling.

The research findings demonstrate that job insecurity exacerbates job tension. Job tension erodes employees’ trust in organization and aggravates their propensity to leave work early and be late for work. As hypothesized, job tension mediates the effect of job insecurity on organizational trust and the abovementioned outcomes.

This study adds to the hospitality literature by assessing the interrelationships of job insecurity, job tension, organizational trust and nonattendance intentions.

Heritage tourism is vital to the preservation of cultural resources and economic growth and tourism can be utilized to protect and promote cultural heritage. However, if cultural heritage tourism is not developed following sustainable development principles, it can negatively affect a region's cultural legacy. This study aims to analyze expert opinion on sustainable heritage tourism in the geographical setting of North Cyprus.

A qualitative method was used to conduct in-depth semi-structured face-to-face interviews with seven heritage tourism experts in North Cyprus. Theme analysis of the transcripts was undertaken and triangulated utilizing the automated content and thematic analysis capabilities of the Leximancer software program.

The analysis revealed six themes in descriptions of sustainable cultural heritage tourism provided by the experts. These are “history”; “promotion”; “institutions”; “protection and maintenance”; “museums” and “technology”.

This is one of the first studies to analyze the key aspects affecting the long-term viability of cultural heritage tourism in North Cyprus.

The interconnected challenges of climate change and social inclusivity have placed unprecedented pressure on businesses to adopt responsible practices. While previous research has explored the individual impacts of environmental, social, and governance (ESG) performance and diversity initiatives, there remains a dearth of comprehensive investigations into how these factors collectively influence carbon emission scores. Drawing on the legitimacy theory, we explore whether ESG and diversity scores predict global companies' carbon emission scores. As concerns about the environmental impact of businesses grow, understanding the relationships between ESG performance, diversity management, and carbon emissions becomes imperative for sustainable corporate practices.

The primary dataset for this study includes 1,268 worldwide firm-year data for 2021. The sample is subjected to missing data examination as a component of the filtration process. Data preprocessing is performed before machine learning analysis, including verifying missing data. Our research resulted in the final sample, which includes 627 worldwide firm data from 2021. Data regarding all publicly traded companies was obtained from Refinitiv Eikon.

Our findings showed that corporate carbon emission performance in global corporations is influenced by ESG performance and total diversity score.

Firms involve in ESG as well as diversity practices to be able to achieve sustainable success. Yet, the forecasting of carbon emissions based on ESG scores and diversity scores remains inadequately established due to conflicting findings and enigmas prevalent in the literature.

Online food delivery service has evolved swiftly and stretched the bounds of the catering business. In the gig economy, being a food delivery rider draws employees with the promise of flexibility and independence. To this end, the purpose of this paper is to explore the main themes shared in online reviews by food delivery riders and which of these themes are linked to positive and negative ratings.

The authors used 729 employee reviews posted on the Glassdoor website. In addition, they used content analysis to examine reviews of Uber Eats online food ordering company shared by food delivery riders on an online platform.

The results of this study include seven main themes: “earning,” “customers,” “orders,” “tips,” “car,” “flexible schedule” and “app” (navigation). Positive concepts are associated with “earning,” “orders,” “tips” and “flexible schedule.” Negative themes are linked to the “app” (navigation), “car” and “customers.”

Management should consider online reviews as employees’ opinions and voices. Specifically, management should provide financial support to employees for car maintenance, offer insurance for income stability and arrange training programs to enable them to use several tip-enhancing behaviors.

No research has been conducted using online reviews from an employment search engine to investigate employees’ experiences of online food delivery. To the best of the authors’ knowledge, this study is one of the first attempts using user-generated content from an employment search engine to explore employees’ experiences.