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Departing from previous studies, this paper aims to explore the predictive roles of financial indicators on diversity.

Data on all companies that are publicly traded was acquired from the Refinitiv Eikon database. The final list, which comprises 873 worldwide business data from 2021, composed the dataset. We used fundamental forward selection techniques, multiple regression and best subset regression in R programming to look at the data and find the most critical factors.

We found support for the predictive roles of financial indicators on total diversity score and its three components in global companies. In addition, bagging and random forest algorithms were able to find a predictor role of total liability on the diversity pillar score and inclusion score. In contrast, the people development score was best estimated by R. The boosted regression algorithm was also able to find evidence of the predictor role of total liability for people development and inclusion score but not for diversity pillar score.

This study is one of the first to examine financial predictors of firms’ diversity scores using machine learning algorithms. The discussion section offers theoretical and practical implications and directions for further research.

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.

Current research aims to explore the dominant themes shared in online reviews by customers visiting chain coffee shops as well as which of these themes were linked with satisfaction and dissatisfaction.

The data for the current research was gathered from TripAdvisor using a Python-based web crawler. In total, 20,499 online reviews were scrapped and analyzed using Leximancer software.

The analyses revealed six themes describing chain coffee shop experiences. These are “product quality,” “ambiance and atmosphere,” “customer service,” “menu variety,” “location and convenience” and “price and value.” Dissatisfaction factors are sourced from issues such as “price and value,” “ambiance and atmosphere as well as “menu variety.”

This study fills a research lacuna by using a large dataset of online reviews to comprehensively analyze customer experiences in chain coffee shops, identifying critical themes and sentiment trends. This novel approach offers valuable insights for improving service strategies within the competitive coffee chain industry.

The present study sought to determine the main themes employees discussed in online reviews associated with satisfaction (pros) and dissatisfaction (cons).

This study used qualitative content analysis to examine employee reviews working in India's largest food delivery company.

The analyses revealed the existence of seven themes: company environment, employees, salary, work–life balance, company culture and values, flexibility and favoritism. Negative themes were associated with the “work-life balance” and “favoritism” themes. The results provided valuable insights into online food delivery platform employees' overall experiences based on social media information and aided in identifying key themes associated with various satisfaction levels.

This study contributes to the literature by uniquely utilizing user-generated content from an employment search engine as a novel data source to investigate the factors influencing satisfaction and dissatisfaction among online food delivery employees. This approach represents a significant departure from traditional survey-based methods, filling a gap in the literature by offering insights directly from employees' unfiltered perspectives. By leveraging this innovative methodology, our research provides a fresh and nuanced understanding of the experiences and concerns of online food delivery workers, thereby adding substantial value to the fields of organizational behavior and human resource management.

This research aims to investigate the motivations and perspectives of festival tourism in Northern Cyprus, emphasizing its economic, cultural, and social impacts in the post-pandemic era.

A qualitative approach was used to find out themes from semi-structured face-to-face interviews with twenty visitors who attended various festivals in North Cyprus.

The results of this research uncover that festivals considerably contribute to the local economy by attracting tourists, which boosts sales for local businesses and promotes traditional Cypriot cuisine. Additionally, festivals play a crucial role in preserving and promoting cultural heritage through traditional music, dance, and crafts, fostering community engagement and cultural exchange. The study also identifies key challenges and opportunities, such as the need for improved marketing strategies, enhanced infrastructure, and sustainable practices to mitigate environmental impacts.

This study provides a comprehensive analysis of festival tourism in Northern Cyprus, offering novel insights into its economic, cultural, and social impacts while proposing innovative strategies to enhance its post-pandemic recovery and sustainability.

Horse-based tourism stands at the intersection of cultural heritage, leisure activities, and eco-friendly travel, captivating enthusiasts and researchers alike with its diverse facets and impacts. This study examines the horse-based tourism literature to provide an overview of horse-based tourism publications.

Using a systematic literature review (SLR) method, pertinent journal articles published over the past 3 decades were retrieved and analyzed. Based on the review process, 44 papers were identified and analyzed by publication year, journal distribution, research method, and lead author. Using Leximancer software, a thematic analysis was undertaken to determine the major themes of horse-based tourism.

The findings revealed a rising trend of horse-based tourism articles and the appearance of an increasing number of studies in tourism-oriented journals. In addition, it was discovered that the majority of available studies are qualitative, whereas quantitative research is few and limited.

Our research establishes a foundational resource for future studies and scholarly discourse on the multifaceted contributions of horse-based tourism.

This study can assist decision-makers in understanding the potential of horse-based tourism in the sustainable development of destinations. Moreover, it provides clear direction on implementing appropriate strategies to manage horse-based tourism.

This study distinguishes itself as the inaugural comprehensive literature review encompassing the breadth of horse-based tourism publications and research domains. By pioneering this endeavor, we not only contribute a unique perspective to the existing body of knowledge in the field but also emphasize the vital role of horse-based tourism in fostering economic and social sustainability for the countries involved.

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.

Environmental, social and governance (ESG) scores are compelling for firm strategy and performance. Thus, this study aims to explore ESG scores’ predictive roles on global firms’ diversity scores.

A total of 1,114 global firm-year data from the Thomson Reuters Eikon database was analyzed using machine learning algorithms like rpart, support vector machine, partykit and evtree.

The results reveal a positive association between diversity, resulting in greater comprehensiveness and relevance. Broadly speaking, the two factors with the most significant values for calculating the overall diversity scores of businesses are ESG scores and social scores. ESG scores and environmental scores are the most effective predictors for the diversity pillar and people development scores. In contrast, community and social scores are the most important predictor factors for the inclusion scores.

The research is particularly pertinent to managers and investors considering ESG issues while making decisions. The results indicate that leaders and practitioners should prioritize ESG elements and diversity problems to enhance performance.

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.