The present study investigates the impact of natural environments on tourism destinations in a holistic approach. Specifically, the impact of accessibility to beaches and environmental quality aspects (temperature, visibility, air quality, and water quality) on tourism businesses can be accessed based on a natural-resource-based view. Dynamic panel estimation is employed to analyze the financial performance of U.S. coastal hotels between 2008 and 2017. By employing the Generalized Method of Moments (GMM) analysis, this aims to estimate coefficients consistently and impartially, thereby addressing endogeneity issues. According to findings of the present study, as hotels are close to beaches, they earn higher revenues and higher revenue per-available-room. Also, all four environmental factors are significant on coastal hotels’ financial performance. These findings underscore the importance of beach and environmental factors as location-specific tourism resources that provide a competitive advantage and demonstrate the application of natural-resource-based view to tourism destinations.

In the fiercely competitive peer-to-peer accommodation business, it is critical that hosts advertise their homes effectively. This study aims to investigate, in a peer-to-peer accommodation context, the listing title’s impact on a property’s financial performance. Drawing on language expectancy theory, this work examines the linguistic styles of listing titles. Based on multiple analyses of 110,167 observations of seven Asian countries, this study found each country has significantly different linguistic styles that maximize financial performance. The findings of the study suggest that consumers’ expectation on listing titles varies by location; meeting such expectations is linked to higher financial performance.

Due to service product characteristics and a mix of complex sales, it is crucial for hotel firms to efficiently design limited physical spaces that serve multiple purposes to optimize revenue and maximize profit. Since luxury hotel properties have different operation strategies than limited-service hotels, their operational efficiency should be a reference during strategic decision-making processes. Primary research purpose is to identify the most efficient operation model for luxury hotel properties. The study computed operation efficiency scores using the data envelopment analysis approach to rank the property efficiency of 37 fully equipped luxury hotels in the United States. Each property can utilize slack analysis to discover a strategic benchmarking company (best efficient frontier) and intuitive strategic recommendations and gain superior input and output productivity. Tobit model analysis provides supplemental understandings regarding the additional operational factors impacting luxury hotel properties’ efficiency score variations. Operating efficiency was found to be achieved by multiple operating inputs and influenced by relative price, fixed costs, and management systems. Theoretical comprehensiveness of luxury service mix has been empirically tested by highlighting efficiency as a key measure. In addition, RevPAR’s ratio on TRevPAR further highlights the importance for luxury hotels to increase non-room sales and revenues to accomplish efficiency.

Drawing on selective attention theory and language expectancy theory, and using a mixed method of text analysis and spatial analysis, this study examined the impacts of listing titles and locations on the financial performance of Airbnb properties. Guests’ preferred words and expected informative cues about property, location, and environment in Airbnb titles were first captured by a qualitative study. The results of the second study, which controlled for the spatial dependency based on the Hotspot analysis and geographically weighted regression for 14,938 property-level data in Phuket and Bangkok in Thailand, revealed that the linguistic styles and characteristics affecting the properties’ financial performance were significantly different between the two cities. For hosts in hot spots, affective and perceptive linguistic styles on the titles are recommended, while function-oriented information and photos should be highlighted for the cold spot areas.

Amid Covid-19, restaurant customers have substantially turned to delivery services. Given that table service and ambience are absent in the delivery service mode, cue utilization for restaurant delivery could be different from that in dine-in consumption. Furthermore, increased hygiene and health concerns may lead to changes in cue utilization patterns after the pandemic. Therefore, we explored how restaurant type and its interactions with brand and review rating affected delivery sales and whether their sales effects changed according to the severity of infection risk. Fixed-effects estimation and marginal analysis were employed to investigate 579,858 observations from 193,286 restaurants in China between 2019 and the second quarter of 2020. The findings revealed that full-service and/or branded restaurants had higher delivery sales than other groups. Interaction effects between restaurant type and brand as well as restaurant type and review rating were also found. Theoretical and practical implications for effective cue utilization are discussed.