In the field of tourism, casino hotels consume considerable energy and water resources. They differ from general hotels due to their specific features; consequently, the environmental practices of casino hotels differ from those of general hotels. Thus, the application of a general hotel’s environmental management system (EMS) to a casino hotel is not suitable. To this end, in this study we developed an EMS for green casino hotels in Macau. We selected the casino hotel EMS indicators from ISO 14000 and nine representative green hotel evaluation systems. We additionally employed the Delphi method to determine the preliminary EMS evaluation framework. Based on our findings, indicators in 10 dimensions were identified and prioritized according to their relative importance and feasibility. The EMS developed in this study provides management suggestions for governments, hoteliers, and consumers to improve environmental management.

COVID-19 presents a formidable challenge to global tourism. One of the emergency measures adopted by the Macau restaurant industry has been to increase its revenue by joining an online-to-offline (O2O) platform. Nevertheless, are there any risks that follow these opportunities? This article aims to explore whether any risks follow these opportunities, which could extend the literature. Study 1 explores the key factors that customers focus on by analyzing the content of customer reviews published on the Aomi platform through Python. Results show that brand credibility, freshness, and taste remained prominent in the customers’ dining experience. Packaging, delivery quality, and hygiene emerged as new factors due to the COVID-19 pandemic and the popularity of the O2O platform. Customers and staff continued to participate in service interactions through these online channels. Meanwhile, Study 2 contributes to the present understanding of O2O services in restaurants by interviewing catering professionals, and the results highlight how restaurateurs adopt their strategies on O2O platforms.

Introduction: The occlusal force of the teeth in the dental arch and the remaining adjacent natural teeth will change after implant restoration with a free-end missing tooth. This study intends to use the T-SCAN III scanner to collect dynamic quantitative data before and after the restoration of free-end implants and to explore the application of the T-SCAN III in redistributing the occlusal force of free-end implants.Methods: In this study, 24 patients with free-end implant restoration were selected, and their occlusion was tested before, immediately after, and 3 months after implant restoration.Results: In all 24 cases, the bite force of the first natural tooth adjacent to the implanted tooth after restoration changed from 19.12% ± 9.48%–12.93% ± 11.47% (p < 0.01). For additional data analysis, all cases were further subdivided by single implant and fixed bridge restorations. In 17 cases, there was a successful follow-up after 3 months. The percentage of the total bite force of dental arch with implant increased from 41.92% ± 10.78%–53.06% ± 10.71% (p < 0.01).Discussion: This study shows that the free-end implant restoration protects the remaining natural teeth, and the patient’s missing dental arch bite force improves within 3 months of implant restoration.

No abstract