Search Results (387)

The colonization of Legionella spp. in engineered water systems constitutes a major public health threat. In this study, a six-year environmental surveillance (2020–2025) of Legionella colonization in five different types of facilities in Crete, Greece is presented, including hotels, passenger ships, primary healthcare facilities, public hospitals, and private clinics. A total of 1081 water samples were collected and analyzed, and the overall positivity was calculated using culture-based methods. Only 16.46% of the samples exceeded the regulatory limit (>10³ CFU/L) in the total sample, with 44.59% overall Legionella positivity. Colonization by facility category showed the highest rates in primary healthcare facilities with 85.96%, followed by public hospitals (46.36%), passenger ships with 36.93%, hotels with 38.08%, and finally private clinics (21.42%). The association of environmental risk factors with Legionella positivity revealed a strong effect at hot water temperatures < 50 °C (RR = 2.05) and free chlorine residuals < 0.2 mg/L (RR = 2.22) (p < 0.0001). Serotyping analysis revealed the overall dominance of Serogroups 2–15 of L. pneumophila; nevertheless, Serogroup 1 was particularly prevalent in hospitals, passenger ships, and hotels. Based on these findings, the requirement for continuous environmental monitoring and risk management plans with preventive thermochemical controls tailored to each facility is highlighted. Finally, operational disruptions, such as those experienced during the COVID-19 pandemic, especially in primary care facilities and marine systems, require special attention. Full article

This study focuses on a profound paradox in eco-hotel evaluations: why do consumer ratings for location, a static asset, exhibit dynamic fluctuations? To solve this puzzle, we construct a two-stage signal-processing theoretical framework that integrates Signaling Theory and the Elaboration Likelihood Model (ELM). This framework posits that the dynamic trajectory of a hotel’s green attributes (encompassing eco-facilities, sustainable practices, and ecological experiences) constitutes a high-fidelity market signal about its underlying quality. We utilized natural language processing techniques (Word2Vec and LSA) to conduct a longitudinal analysis of over 60,000 real consumer reviews from Booking.com between 2020 and 2023. This study confirms that continuous improvements in green attributes result in significant positive spillovers to location scores, while any degradation triggers strong negative spillovers. More critically, consumer environmental involvement (CEI) acts as an amplifier in this process, with high-involvement consumers reacting more intensely to both types of signals. The research further uncovers complex non-linear threshold characteristics in the spillover effect, subverting traditional linear management thinking. These findings not only provide a dynamic and psychologically deep theoretical explanation for sustainable consumption behavior but also offer forward-thinking practical implications for hoteliers on how to strategically manage dynamic signals to maximize brand value. Full article

Online reviews play a critical role in shaping consumer decisions and providing valuable insights to enhance the products and services for businesses. As visual content becomes increasingly prevalent in reviews, it is essential to understand how image complexity influences review helpfulness. Despite the growing importance of images, the impact of color diversity and texture homogeneity on review helpfulness remains underexplored. Grounded in Information Diagnosticity Theory and Dual Coding Theory, this study investigates the relationship between image complexity and review helpfulness, as well as the moderating role of review text readability. Using a large-scale dataset from the hotel and travel sectors, the findings reveal that color diversity has a positive effect on review helpfulness, while texture homogeneity follows an inverted U-shaped relationship with helpfulness. Furthermore, text readability strengthens the positive impact of texture homogeneity, making moderately homogeneous images more effective when paired with clear and well-structured text. Heterogeneity analysis demonstrates that these effects vary across product categories. The results advance the understanding of multimodal information processing in online reviews, providing actionable guidance for platforms and businesses to refine the review systems. Full article

This study addresses a gap in hospitality research by investigating how employees’ perceptions of green intellectual capital (GIC) influence their satisfaction with both career and life. Although sustainability has become increasingly relevant in organizational strategies, limited research has examined how such job resources affect employees’ attitudes. Guided by the Job Demands–Resources (JD-R) framework, the study proposes a model in which organizational embeddedness (OE) mediates the relationship between green intellectual capital (GIC) and satisfaction outcomes, while thriving at work (TAW) moderates this pathway. The analysis is based on data collected from 371 employees working in four- and five-star hotels in Turkey. Structural equation modeling was used to test the hypotheses. The findings show that positive perceptions of green intellectual capital (GIC) are associated with stronger embeddedness, which, in turn, enhances career and life satisfaction. Moreover, this indirect effect is more pronounced among employees who report higher levels of thriving. The results emphasize how sustainability-oriented practices can serve as meaningful resources that improve employee outcomes in the hospitality industry. Full article

Tourist satisfaction models typically assume that service performance dimensions carry the same weight for all travelers. Drawing on Bourdieu, we reconceptualize age, gender, and region of origin as demographic capital, durable resources that mediate how visitors decode service cues. Using a SERVPERF-based survey of 407 international travelers departing Quito (Ecuador), we test measurement invariance across six sociodemographic strata with multi-group confirmatory factor analysis. The four-factor SERVPERF core (Access, Lodging, Extra-hotel Services, Attractions) holds, yet partial metric invariance emerges: specific loadings flex with demographic capital. Gen-Z travelers penalize transport reliability and safety; female visitors reward cleanliness and empathy; and Latin American guests are the most critical of basic organization. These patterns expose a boundary condition for universalistic satisfaction models and elevate demographic capital from a descriptive tag to a structuring construct. Managerially, we translate the findings into segment-sensitive levers, visible security for youth and regional markets, gender-responsive facility upgrades, and dual eco-luxury versus digital-detox bundles for long-haul segments. By demonstrating when and how SERVPERF fractures across sociodemographic lines, this study intervenes in three theoretical conversations: (1) capital-based readings of consumption, (2) the search for boundary conditions in service-quality measurement, and (3) the shift from segmentation to capital-sensitive interpretation in emerging markets. The results position Ecuador as a critical case and provide a template for destinations facing similar performance–perception mismatches in the Global South. Full article

As environmental sustainability becomes a central strategic priority in the hospitality industry, understanding the mechanisms that enhance employees’ green behavior is increasingly essential. This study investigates the influence of Green Transformational Leadership (GTL) on employees’ green resilience (GR), exploring the sequential mediating roles of employee environmental commitment (ECOM), environmental engagement (EENG), and Green High-Performance Work Practices (GHPWPs). Drawing on data from 475 full-time employees working in green-certified hotels in Izmir, Türkiye, the proposed model was tested using partial least squares structural equation modeling (PLS-SEM). The findings reveal that GTL significantly enhances employees’ green resilience, both directly and indirectly, through its positive impact on their environmental attitudes and the implementation of green-oriented work practices. This research contributes to leadership and sustainability research by integrating affective, cognitive, and behavioral pathways. It offers practical insights for hotel managers aiming to build a resilient and environmentally engaged workforce. Full article

The field of tourism economics has consistently attracted big attention from scholars across various countries. Tourism is inherently linked to economic aspects. Concurrently, Indonesia has relocated its Ibu Kota Negara/National Capital City, now named “IKN”, from Jakarta to East Kalimantan. In addition to extensive public infrastructure development, the Indonesian government is also working to revitalize the tourism sector in IKN. To assess the economic feasibility of this sector, an in-depth study is necessary. This research aims to examine labor absorption, tourist visits, and economic growth as indicators of successful tourism economic performance. It also analyzes the variables that influence these indicators, including (1) wages, (2) occupancy rates, (3) room rates, (4) food and beverage facilities, (5) inflation, (6) hotel and lodging taxes, (7) restaurant and eating-house taxes, and (8) investment. The regression testing method employs Ordinary Least Squares (OLS). According to the data analyzed from 2013 to 2024, the authors identified three main points: First, tourist visits and inflation have positive and significant impacts on labor absorption. Second, labor absorption, wages, occupancy rates, economic growth, and investment positively and significantly influence tourist visits. Third, tourist visits, room rates, food and beverage facilities, and inflation have positive and significant effects on economic growth. The implications of this research can be enlightening for regulators and future initiatives. This is particularly important for guiding further empirical investigations and policy planning aimed at accelerating economic development in the tourism sector. Full article

This study highlights the importance of managing and analyzing customer reviews to gain a competitive advantage and improve customer experience in the hospitality industry. In this context, a deep learning-based sentiment analysis system of hotel customer reviews is developed to evaluate service quality within the scope of sustainable tourism. The study analyzed 15,522 customer reviews of five-star hotels in Antalya using text mining, topic modelling, and deep learning-based sentiment analysis. The reviews were classified as positive, negative, or neutral. The findings show that Hotel HB2 has the highest performance, with an F1 score of 97.9%. Overall customer satisfaction is 91%, while emotional satisfaction stands at 77%. Key factors, such as cleanliness, food quality, and staff professionalism, were found to play a critical role in customer loyalty. Additionally, this study integrates sustainability-orientated themes by identifying customer feedback related to environmentally friendly practices and sustainable hotel operations. The results provide evidence that customer satisfaction is not only influenced by service quality but also by the perceived environmental and social responsibility of the hotel. Machine learning techniques have emerged as effective tools for analyzing large-scale customer reviews, offering valuable insights to rapidly and accurately capture customers’ emotions, expectations, and perceptions. As a comprehensive application of sentiment analysis and text mining, this research offers hotel managers a practical framework to enhance service quality, foster customer loyalty, and develop sustainability-orientated strategies. This study contributes to the literature by linking AI-driven sentiment analysis with sustainability practices in the tourism sector. Full article

As sustainability becomes an essential approach in the USA hospitality sector, green certifications like Leadership in Energy and Environmental Design (LEED) are increasingly adopted by hotel developers. However, the extent to which different LEED certification levels influence guest satisfaction remains unclear. This study investigates how the LEED certification level interacts with the relationship between a hotel’s sustainability performance and guest satisfaction in the United States. A mixed-methods approach was used, combining Random Forest Regression and the Process macro on a dataset of LEED-certified USA hotels with normalized guest satisfaction scores. The Random Forest model identified Energy and Atmosphere (EA) and Indoor Environmental Quality (EQ) as the most influential LEED categories in predicting satisfaction. Additionally, the results reveal that the positive effect of sustainability on satisfaction is strongest at the lower LEED levels (Certified and Silver), but shows diminishing returns at higher levels (Gold and Platinum), suggesting that an increased sustainability performance does not uniformly improve guest experience. These findings support all three hypotheses and offer practical insights for hotel developers, operators, and certification bodies seeking to align sustainability strategies with guest expectations. Full article

Work–family conflict (WFC) is a common issue faced by employees balancing work and family roles, but research exploring individual strategies to reduce its negative effects has been limited. Leaders’ positive humor is a mutually (leader–subordinates) amusing communication tool in the workplace. It has been shown to enhance peer relationships (coworker socializing (CWS)) and may serve as an effective coping mechanism that mitigates the adverse effects of workplace stress (work–family conflict). This study strives to examine the relationship between leaders’ positive humor (LPH) and work–family conflict (WFC), with coworker socializing (CWS) mediating this relationship and sensitivity to favorable interpersonal treatment (SFIT) moderating the relationship between leaders’ positive humor and coworker socializing in the tourism and hospitality industry. The research addresses a significant gap in previous studies by investigating these variables together. A total of 387 valid questionnaires were collected from employees of five-star hotels and tourism organizations in Egypt. This study employed PLS-SEM to analyze the data. The results showed that leaders’ positive humor negatively impacts work–family conflict, positively influences coworker socializing and that coworker socializing negatively affects work–family conflict. Additionally, coworker socializing mediated the association between leaders’ positive humor and work–family conflict, and sensitivity to favorable interpersonal treatment moderated the relationship between leaders’ positive humor and coworker socializing. This study provides theoretical and practical insights by validating the proposed model based on the Stimulus–Organism–Response (S-O-R) framework and the Conservation of Resources (COR) theory. Regarding practical implications, the study recommends leadership training on the effective use of humor to foster follower socialization and promote work–family balance. Full article

The widespread deployment of service robots in industries such as hospitality has significantly transformed service delivery, influencing not only customers but also employees. This study examines the multi-dimensional impact of service robots on hotel employees, focusing on their attitudes, emotional responses, and willingness to collaborate, as shaped by perceived benefits (service reliability, process efficiency, and job crafting) and risks (inefficiency, insufficient intelligence, and privacy concerns). Data were collected from 471 hotel employees in South Korea with experience working alongside service robots, and Hayes’ Process Macro Model 4 was employed for hypothesis testing. The findings reveal that perceived benefits positively influence employees’ attitudes, emotions, and willingness to collaborate, while perceived risks exert a negative impact. Furthermore, attitudes and emotional responses mediate these relationships. These findings provide theoretical and practical insights for managers, policymakers, and service robot manufacturers to address employee concerns, improve human–robot collaboration, and promote sustainable technological integration within the service industry. Full article

In response to escalating societal and environmental expectations, corporate social responsibility (CSR) has evolved into a strategic imperative rather than a voluntary or peripheral activity. This study investigates the effect of employees’ CSR perceptions on job performance, with corporate reputation (CR) examined as a mediating variable. Drawing on Social Identity and Social Exchange Theories, the research explores how CSR, as an element of business innovation and sustainable organizational practices, fosters internal stakeholder engagement and performance enhancement. Data were collected from five-star hotel employees in İstanbul/Türkiye, a service sector context where customer satisfaction is highly dependent on frontline employee behavior. Using PROCESS Macro for SPSS 27, the findings reveal that CSR perceptions significantly and positively influence employee performance both directly and indirectly through the enhancement of CR. This mediating effect underscores the role of CSR not only as an ethical framework but also as an internal mechanism that strengthens employee commitment and output. The study contributes to CSR and the organizational behavior literature by empirically validating that internal CSR perceptions shape strategic outcomes such as employee performance, especially within high-contact service environments. Theoretical implications emphasize CSR’s integrative function in reputation-building and performance systems, while practical insights recommend embedding socially responsible practices into HR and internal communication strategies to achieve sustainable outcomes and societal well-being. These findings offer meaningful contributions to the scope of business innovation by linking CSR with strategic performance indicators in labor-intensive industries. Full article

Objectives: Endometriosis is a common gynecologic condition characterized by the presence of endometrial-like tissue outside the uterus, often leading to pelvic pain and infertility. Diagnosis is frequently delayed, with prolonged diagnostic wandering that could be improved through enhanced first-line radiologic assessment. The uterosacral ligament (USL) is the most frequent site of deep infiltrating endometriosis (DIE). The Hôtel-Dieu (HTD) MRI classification, published in 2024, offers a structured framework for evaluating USL involvement by correlating MRI findings with the diagnostic certainty of endometriosis. Key Findings: This pictorial essay provides a practical guide for applying the HTD MRI classification, presenting key imaging criteria with illustrative examples for each USL type. The classification distinguishes between “linear” and “nodular” USL lesions, with implications for diagnostic confidence. “Nodular“ types demonstrate a 100% positive predictive value (PPV), while “linear“ types may yield higher false positive rates (FPR). The HTD MRI classification may also be complemented by innovative biomarker testing, such as microRNA signatures, especially in cases with “linear“ USL involvement. Conclusions: By standardizing the assessment of USL lesions, the HTD MRI classification enhances diagnostic accuracy, improves MRI reproducibility, and supports earlier identification of endometriosis in first-line settings. Its integration into radiologic workflows can contribute to reduced diagnostic delays. Implications for practice: The HTD MRI classification is a valuable screening tool for first-line radiologists and clinicians. Incorporating it into routine pelvic MRI interpretations may streamline diagnostic pathways, promote consistency across readers, and guide additional testing strategies, such as microRNA assays, for cases where MRI alone is less definitive. Full article

The application of intelligent robots will change the service model of hotels. However, users’ willingness to use robots in hotels is not so strong. The research aims to identify the factors influencing potential consumers’ intention to use hotel robots. Based on the technology acceptance model and social presence theory, this study constructs a hotel robot acceptance model (HRAM), and this model includes seven variables: social presence, perceived playfulness, trust, perceived ease of use, perceived usefulness, attitude, and willingness to use hotel robots. The research involved a combination of quantitative (N = 261) and qualitative (N = 20) methods used to collect data on potential hotel customers in China, and structural equation modeling was applied for verification. The research results showed that social presence positively influences perceived playfulness, attitude, and trust, with an indirect influence on users’ behavioral intention to use hospitality robots. Perceived ease of use has a positive impact on perceived usefulness; it also positively affects users’ attitudes. Perceived playfulness, perceived usefulness, attitude, and trust positively influence consumers’ behavioral intention to use hospitality robots. This research reveals the influence of social presence, perceived playfulness, trust, perceived ease of use, perceived usefulness, and attitude on users’ willingness to use hotel robots. This research expands the technology acceptance model and its application fields so that the model can serve as a theoretical framework for studies on hotel user behaviors. The findings can provide reference and guidance for the design of hospitality robots, the innovation of hospitality service models, and the decision-making of hospitality managers. The R&D of new hotel robots can lead to higher user acceptance and expand the model applications, thus advancing the sustainable development of hotel tourism. Full article

Previous discussions on customer injustice and emotional labor have primarily focused on employee–customer dyads, often neglecting the role of service co-workers in shaping emotional labor dynamics. To address this gap, the current study integrates intrapersonal and interpersonal factors to explore their joint effects on employees’ emotional labor strategies when encountering customer injustice. A full-factorial experimental design with 2 (self-construal: independent vs. interdependent) × 3 (service co-workers: alone vs. positive attitudes vs. negative attitudes toward customer injustice) is employed, using data from 179 frontline service employees at high-star hotels in Shanghai, with self-construal and service co-workers operationalized as manipulated conditions. Results reveal that self-construal significantly influences surface acting: interdependent individuals are more inclined to engage in surface acting than independent individuals. By contrast, self-construal has no direct effect on deep acting. While service co-workers do not moderate the relationship between self-construal and surface acting, they play a critical role in the relationship between self-construal and deep acting: for interdependent employees, service co-workers’ attitudes (rather than their mere presence) decisively impact deep acting, with positive attitudes promoting deeper emotional engagement and negative attitudes reducing it. This study advances a dual-path framework highlighting how intrapersonal dispositions (self-construal) and interpersonal impression cues (service co-workers’ attitudes) interact to shape emotional labor. By expanding the traditional employee–customer dyad to a triadic model, the study bridges impression management theory and workplace injustice research, offering theoretical insights into how intrapersonal traits and interpersonal dynamics jointly shape contextualized emotional labor. This thereby provides a theoretical foundation for nuanced management strategies in service organizations. Full article