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As net-zero pledges gain momentum globally, more and more accommodation businesses seek to quantify their carbon emissions. Building on Chan (2021), this study aims to explore what drives Australian accommodation providers to measure the carbon footprint of their businesses and what barriers hinder them from doing so.

Empirical data were collected by conducting ten semi-structured interviews with owners, senior executives, consultants, certification bodies and hotel management companies. The set of interviews represented different segments of the hotel industry and various accommodation types. Data were analysed with thematic analysis.

The major drivers for adopting carbon footprint analysis are as follows: the analysis being perceived as an important contribution to a company's corporate responsibility, the owner or manager's environmental concern, the assessment being a requirement for obtaining an eco-certification and the business benefits associated with implementing the initiative. The major barriers hindering adoption include the following: difficulties with data gathering, the lack of a standard methodology, a lengthy decision-making process and a lack of resources.

Based on the empirical findings and three theories on ecological responsiveness, this study develops a conceptual framework for implementing carbon footprint analysis in the accommodation context and recommends strategies to increase the adoption of carbon footprint analysis.

This study responds to Chan and Hsu's (2016) call for further research on carbon footprint in the hotel context and represents the first attempt to explore the drivers and barriers specifically associated with implementing carbon footprint analysis in the accommodation sector.

This study aims to examine how hotel customer relationship management (CRM) practices affect tourist behavioural loyalty. This study also investigates the relationship quality (trust and satisfaction) as a mediator between CRM practices and tourist behavioural loyalty in Bangladesh’s hotel sector.

Data was collected through a survey using a standardized questionnaire that used a five-point Likert scale. A total of 411 respondents were selected using a convenient sampling method. The data was analysed and interpreted using Smart-PLS.

Relationship quality (both trust and satisfaction) partially mediates the relationship between hotel CRM practices and tourist behavioural loyalty in the hospitality industry.

The Bangladeshi hotel management can use the outcomes of this study to enhance tourist loyalty by implementing and maintaining better CRM features in the hotel.

The unique contribution to the hotel industry of Bangladesh is the role of relationship quality, which includes trust and customer satisfaction, as a mediator between hotel CRM practices and traveller behavioural loyalty.

Innovation in service, procedure and product design is essential for long-term success in today's fast-paced and cutthroat hospitality sector. This study aims to learn how innovation may revolutionise the hospitality sector and lead to memorable guest experiences.

The research delves into new ways of thinking about service design, emphasizing how to create engaging and individual customer experiences (CXs). In order to stand out in a crowded hospitality market and keep up with customers' ever-changing demands, businesses in the industry are experimenting with new approaches to service, like co-creation, personalisation and experience design.

The study also digs into process innovation in the hotel industry, looking at how the latest tech and automation are helping to streamline processes and boost productivity. Reservation systems, guest check-in and check-out, cleaning and supply chain management are just a few areas that get studied. The study delves into how thoughtful product design may enrich visitors' hotel stays. It explores new and interesting services like in-room entertainment, eco-friendly building techniques and creative cuisine. The study investigates how these unique items affect customers' opinions of the products' worth, satisfaction and loyalty.

Methods such as in-depth interviews with experts, guest surveys and the examination of case studies highlighting cutting-edge design in the hospitality industry are all part of the research strategy. This project seeks to provide useful insights and recommendations for hospitality firms that want to adopt innovative service, process and product design methods by analysing real-world instances and gathering empirical data.

The purpose of this study is to identify the characterizations of business process management (BPM) methodology in hotel industry through an aggregate processing of the core cyclesteps (CCCs) of the highly-cited BPM life-cycle models in the literature aiming to highlight the major issues of the current methodological approach of BPM in hotels when to put the notion of service process into practice.

The paper identifies and examines the most popular BPM life-cycles models in the literature and locates 15 life-cycles that are highly cited. The paper then focuses on applying the theory on nine listed hotel companies in Egypt using a questionnaire in the form of a semi-structured interview technique.

The CCSs of BPM life-cycle model applied in hotels revealed a gap between BPM theory and practice in this sector. Utilizing this model of BPM life-cycle, the paper focuses on describing several of the main problems or pitfalls found in the methodological approach of BPM in hotels, which brings the essence of the whole operation management problems.

In light of these findings, the paper discusses the practical implications and focuses on recommendations on how to properly improve the methodological approach of BPM in hotels in order to get better business results.

The paper bridges the gap between BPM theory and practice and suggests recommendations that will assist hotel companies to eliminate the problems of poor process management (PM). There are also future research recommendations to enhance the knowledge of BPM theory in the service sector.

This study explores the role of international tour operators as the agents assuming the governance and the upgrading of the tourism global value chains (TGVCs), with a special focus on their influence on the development of technological capabilities (TCs) in the hotel industry.

The data used in this article originates from a survey carried out in 2016 on Spanish small and medium-sized hotel companies. An ordinal regression analysis is employed to test the hypotheses proposed in this research.

This study finds that tour operators exert a positive effect on the technological upgrading process in the hotel industry by stimulating small and medium-sized enterprises (SMEs) to invest in TCs. The causal mechanisms through which these effects take place differ across the various stages of the relationship between hotel companies and tour operators.

The results have implications both for hotel management in terms of how hotels take advantage of technological upgrading to become more competitive, and for public administrations in terms of what measures can boost the development of hotel TCs in order to increase their added value.

To date, very few studies have analysed the tourism sector based on the influence on the development of TCs of SME hotels by combining GVC concepts and the resource-based view. It is also the first time that the causal mechanisms are shown to explain such influences.

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

This article examines dynamic volatility spillovers between stock index returns of four main hospitality sub-sectors in US during the coronavirus disease 2019 (COVID-19) pandemic. These are tourism and travel, hotel and lodging, recreational services and food and beverages. Volatility spillovers are explicitly used as accurate and informative proxies for risk contagion between sectors during turbulent times.

The authors employ dynamic conditional correlation-generalized autoregression heteroskedasticity (DCC-GARCH) and wavelet coherence analysis (WCA) to analyze the phenomenon. The authors’ timeframe is divided into three main sub-periods, namely the pre-pandemic, the first wave and the second wave periods.

This study’s results reveal immense negative shocks in returns of all four sub-sectors on the Black Monday (8th March 2020). Moreover, high volatility persistence was observed during both waves with an exception of tourism and travel which exhibited lower volatility persistence during the second wave. The authors discovered magnified contagion effects between tourism and travel, hotel and lodgment and recreational services during the first wave of the pandemic with tourism and travel being the main volatility transmitter. Lower magnitudes of spillovers were observed between food and beverages and other sub-sectors with a decoupling effect being evident during the second wave.

This study’s findings contribute to the contagion theory by providing evidence of disproportional volatility spillover among hospitality sub-sectors despite being exposed to similar turbulent economic conditions.

Crucial implications can be drawn from this study’s findings to assist in risk management, asset valuation and portfolio management. The importance of close monitoring, safety measures, international diversification and adequacy of liquid assets during health crises cannot be stresses enough for hospitality firms. Retail investors, speculators and asset managers can take advantage of this study’s findings to design trading strategies and hedge against risk.

A body of knowledge pertaining to effects of crises such as COVID-19 on hospitality stocks has been proliferating. Nonetheless, there is still a relative dearth of empirical literature on volatility spillover between hospitality sub-sectors especially during periods of rising economic uncertainties.

The purpose of this study is to investigate the effect of the COVID-19 pandemic on key performance metrics of accommodation properties by elaborating on the roles of business models (i.e. franchised, chain-managed and independent hotels, and the sharing economy) and state-level restrictions in the US.

The pandemic is considered a variable interference against the average daily rate, occupancy and revenue per available room, which permits the examination of the before and after effects of the pandemic. The panel data model is used to examine the effect of the recent pandemic on the accommodation sector in the USA.

The results showed that chain-managed hotels were the most adversely impacted by the COVID-19 pandemic, while independent hotels were the least adversely impacted. Interestingly, and consistent with emerging consumer needs suggested by spatial distance theory, the pandemic does not have significant negative effects on Airbnb. The adverse impact of the pandemic on hotels was exacerbated in more restrictive states, while Airbnb remained immune to regulatory differences.

This study addresses the dearth of research on the types, roles and efficacy of business models in the accommodation industry and makes important theoretical contributions to the study of business model resilience in the accommodation industry, leveraging the resource-based theory of the firm and spatial distance theory.

The findings of this study make a significant contribution to the extant literature on the resilience of business models in the accommodation industry and have important implications for hotels, Airbnb owners, accommodation brands and destination and health policymakers. They demonstrate that a lower level of corporate control and greater flexibility in brand and operational standards allow for a more effective response to business disruptions such as a global pandemic.

The study sought to examine the impacts of COVID-19 on tourism from the stakeholder perspective in the case of Famagusta town in Northern Cyprus.

Via a qualitative research approach, data are collected through face-to-face interviews from direct and indirect tourism stakeholders operating in Famagusta. A judgmental sampling strategy was employed to collect data from tourism stakeholders on the impacts of COVID-19 on tourism. Descriptive data analysis is engaged to report the results.

Results of the study showed that the novel coronavirus has hampered the tourism sector in Famagusta, Northern Cyprus. Indeed, as the globe suffered its effects in terms of economic gains, business and business closure. It has been the same with Famagusta, while a few private sectors positively gained (Internet and Technology), all other tourism-reliant sectors such as hotels, restaurants, travel agencies and the transport sector massively suffered as a result of the global lockdown due to COVID-19 pandemic.

Given the ever-changing state of knowledge and scarcity of literature, the current study seeks to summarize what has been learned from previous crises and back it up with qualitative research including senior industry stakeholders.

This study aims to explore the spatial impact of an increase in the minimum wage on the labor productivity of star-rated hotels in China.

The impact is analyzed by using the dynamic spatial Durbin model.

The authors find a U-shaped link between the increase in minimum wage and labor productivity of star-rated hotels. The long-term impact of a minimum wage increase has a greater influence on labor productivity than its short-term effects. While there is no notable spatial spillover impact observed in the sample of 31 provinces in China, the authors do identify a spatial spillover effect of the minimum wage rises on the labor productivity of star-rated hotels in the central area. Furthermore, they observe heterogeneity across China. The eastern and western regions exhibit a U-shaped relationship, whereas the central region exhibits an inverted U-shaped relationship.

The findings of this study allow government agencies to get a more comprehensive comprehension of the actual consequences of minimum wage hikes on the tourism and hospitality sector, thereby establishing a solid basis for them to develop appropriate policies. Moreover, it offers a variety of suggestions aimed at enhancing the quality and efficiency of hotel management.

Research on the effects of minimum wage standards is scant in the hospitality industry. Based on human capital investment theory, this study examines the effect of the minimum wage standard hikes on labor productivity of star-rated hotels from the spatial perspective, filling the existing research gap.