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This study aims to investigate the recent changes in the strategies of international hotel chains in the Russian market, as well as their role in the sustainable development of small and medium towns as prospective local tourism destinations.

General observation of the local environment, statistical analysis and a qualitative approach were used to reveal current developments in international hotel chains’ strategy in Russia, and new opportunities for a number of small towns to be embedded in the development of the Russian tourism market. The current scenarios were examined using the available secondary data, including federal statistics and relevant empirical studies, as well as case studies and personal interviews with industry experts that allowed access to respondents’ opinions and market knowledge.

In recent years, investment in the Russian regions has become more attractive for international hotel chains. Findings of the study add to the literature on emerging markets by presenting an overview of the main challenges facing international hotel chains in the Russian market and by stressing the facilitating effect of foreign hotel chains’ upon tourism infrastructure development in small and medium towns in Russian regions. The statistics presented, as well as key opinions of hoteliers and local authorities, contribute to an understanding of the strategies used by international hotel operators in emerging economies with reference to new evidence from Russia.

The main output of this study is that it yields a better understanding of the strategic movement of international hotel chains into the Russian regions and new opportunities to develop tourism infrastructure in small and medium cities situated in Russian regions as prospective tourism destinations.

The purpose of this paper is to develop a framework for identification, categorization and prioritization of lean techniques adopted in a hotel supply chain.

A survey tool is used for the identification of lean techniques that are relevant to a hotel supply chain. The targeted sample includes experts from 50 four- and five-star hotels in the United Arab Emirates (UAE) that confirmed experience in implementing lean practices across hotels supply chain. A Supplier-Inputs-Process-Outputs-Customers (SIPOC) chart and experts’ opinion are used to allocate and categorize the identified lean techniques across the construct of the hotel supply chain. Finally, analytical hierarchy process (AHP) is used to prioritize the criteria and sub-criteria of adopted lean techniques.

Study results have identified six main categories of lean practices and 19 specific lean techniques as relevant to a hotel supply chain. The identified categories include JIT, Kaizen, Quality, Inventory, Maintenance and Standardization. The study found that JIT and Kaizen take the top priority among the identified categories of lean practices. In line with that, on-time service to customers, effective improvement system and on-time delivery from suppliers were found to be the three most relevant lean techniques to a hotel supply chain.

The study has targeted a representative sample of hotels with experience in implementing lean practices. Study findings have several implications to researchers and practitioners for effective adoption of lean techniques within a hotel supply chain. However, the accuracy and credibility of results obtained from this research including SIPOC allocation and lean categorization are highly dependent on the accuracy and credibility of collected empirical data from surveyed hotels within the study context. Results of AHP prioritization also depend on the credibility of judgements made by the hotels’ supply chain experts.

The study provides the hospitality industry with a structured approach that can help in a prioritized adoption of most relevant lean techniques across the hotel supply chain to reduce wastes, create value, increase efficiency and improve the service level. Study findings can be used by hotel management to direct and focus the effort of lean capacity building, resources allocation and implementation plans.

Limited research is available on lean management in the context of a hotel supply chain. Also, most of the previous research is focused on lean impacts, while academics and practitioners agree that the identification and prioritization of most relevant lean techniques is crucial to the successful implementation of lean management for waste reduction and value creation. This research addresses this important issue in hotel supply chains and proposes a structured approach for effective lean adoption.

The purpose of this paper is to better understand the future of hotel chains by exploring the evolving expectations of guests, potential innovations, emerging opportunities, and likely future scenarios.

A literature review consisting of current events, industry reports, and recent trends is utilized to summarize and categorize the challenges and opportunities facing hotel chains.

The future of hotel chains will be driven by the convergence of an increasingly competitive landscape, along with a diverse evolving customer base seeking out unique and individualized experiences. In order to survive in the future hotel chains will have to: listen to and learn from guests incorporating big data insights, go beyond segments to provide personalized services, continuously develop the brand through signature experiences, utilize collaboration and open innovation to maintain an edge in technology and service, and through total revenue management generate ancillary revenues and maximize guest spend.

This paper provides a comprehensive set of recommendations to hotel chains highlighting opportunities related to: financing, revenue generation, personalization, and co-creation.

This paper aims to analyse customer experience in a hotel and its impact on customer attitudes to both the individual hotel and the hotel chain. Specifically, the study focuses on the effects of service perceptions on emotions, satisfaction, attitude to hotel chain, intention to return, scepticism towards negative information and Word of Mouth (WOM).

An empirical study was carried out on a sample of 300 individuals. Data were analysed through structural equation modelling.

Service perceptions and emotions elicited by an individual hotel influence the customer response towards the hotel chain. Among all the outcomes considered, the strongest effects are found on WOM.

This paper develops and empirically tests an original model that integrates the customer experience in an individual hotel and the customer response to the hotel chain. This model includes variables that have recently been considered in the literature, such as scepticism towards negative information, in combination with more traditional outcomes such as intention to return or WOM.

The purpose of this paper is to empirically assess the impact of integrated lean and green practices on the sustainable (environmental, economic and social) performance of a hotel supply chain.

Literature review and previous exploratory studies were used to develop a hypothesized model that characterizes the integrated lean and green (LeGreen) impact on supply chain sustainability. A case study of a large sample of the UAE hotels is used to collect and analyze empirical data, validate the measurement model and test study hypotheses using structural equation modeling (SEM).

The results showed that three major lean techniques (Kaizen, quality and productive maintenance) and three green techniques (health and safety, waste disposal and green certifications) have substantial impact on the sustainable performance of hotel supply chains. Further results revealed that LeGreen impacts are complementary. Lean techniques have the highest impact on the economic performance of the hotel supply chain and the least impact on the environmental performance. Green practices, on the other hand, have opposite impacts.

Although the study findings may vary in different contexts, study methodology and measurement model can be adapted to assess the LeGreen impact on the sustainable performance of hotel supply chains, as well as other service industries such as banking and health care.

The proposed assessment model is expected to be of great value toward the effective implementation of LeGreen practices across hotel supply chains in the UAE and globally. The study findings also provide guidelines for practitioners within the hospitality sector to undertake the proposed model and to adapt it for assessing and enhancing sustainable performance in other sectors of the service industry.

There is a growing emphasis by practitioners and academics on measuring the impact of LeGreen on the sustainable performance of service supply chains. However, the assessment of LeGreen impacts within the context of a hotel supply chain remains unexplored with a scarcity of comprehensive assessment frameworks. This study aims to fulfill this gap in literature and provide directions for researchers to expand the proposed model and to further analyze the integrated lean-green impact on the sustainability of supply chains of hotels and the service industry.

This paper aims to analyze the antecedents of two variables concerning the presence of quality certifications in hotel chains: the (ex ante) decision to become a member of the quality system and the (ex post) trend to increase or decrease the number of certified properties. Six hypotheses are posed and tested.

The empirical investigation is carried out on the Spanish Q for Quality in Tourism using a database including 295 hotel chains and 2,727 hotels.

The results evidence the presence of differences in the behavior of hotel chains relative to certification depending on their size, market segment, customer origin and the geographical concentration of their establishments.

This research deepens in how the hotel chain characteristics affect the effectiveness of a quality certification. The consideration of two stages in investment decisions allows the authors to identify differences in the ex ante and ex post decision processes. As a result, one factor (geographical concentration) has been detected as being underrated by managers in the first stage.

Este artículo analiza los antecedentes de dos variables relacionadas con las certificaciones de calidad en cadenas hoteleras: La (ex-ante) decisión de formar parte de un sistema de calidad, y la (ex-post) tendencia a incrementar o reducir el número de establecimientos certificados. Seis hipótesis han sido propuestas y contrastadas.

La investigación empírica ha sido desarrollada en el marco de la marca Q de calidad para el turismo en España usando una base de datos que incluye 295 cadenas hoteleras y 2,727 hoteles.

Los resultados ponen de manifiesto la presencia de diferencias en el comportamiento de las cadenas hoteleras en materia de certificación dependiendo de su tamaño, segmento de mercado atendido, origen de la clientela y del grado de concentración geográfica de sus establecimientos.

El artículo profundiza en cómo las carfacterísticas de la cadena hotelera afectan a la eficacia de la certificación de calidad. Tener en consideración la existencia de dos etapas en las decisones de inversión nos permite identificar diferencias entre los procesos de decisión ex-ante y ex-post. Como resultado, hemos observado que un factor (la concentración geográfica) está siendo infravalorado por parte de os directivos en sus decisiones en la primera etapa.

The hotel and tourism industry forms a crucial economic sector for all the economies around the world. However, it suffered the worst hit during the COVID-19 outbreak. Considering the hotel and tourism sector's critical situation, this manuscript aims to emphasise the importance of resilience in the hotel and tourism supply chain (HTSC) and explores the crucial barriers that tend to disturb the inculcation of stability in the hotel and tourism sector. The present research analyses the factors influencing the hotel and tourism sector's resilience and also takes into consideration the various critical success factors (CSFs) needed to build a resilient HTSC.

A two-phase research approach has been proposed and used in this study. In the first phase, eight CSFs and sixteen factors influencing the hotel and tourism sector's resilience during the COVID-19 pandemic were identified. The basis of the identification of the CSFs and factors was literature and inputs received from experts. In the second phase, the grey-Entropy-EDAS, a qualitative and quantitative analysis, was used to analyse the identified CSFs and factors to determine the priority of concern.

In this research, the most imperative facet influencing the hotel and tourism sector's resilience has been identified, and the findings will assist hotel and tourism sector in managing and mitigating the repercussions of the COVID-19 pandemic. The analysis of the results indicates that out of all the critical success factors, supply chain visibility is the most crucial aspect in building HTSC's resilience, whereas economic catastrophe is the most influential factor. Sensitivity analysis is also conducted to examine the priority ranking stability.

The results of this study can be used by the hotel supply chain managers and policymakers to plan for various challenges faced by them as they try to implement resilience-based strategies in their supply chain.

This research is unique as it analyses the general factors hindering the pathway of resilience in the hotel and tourism supply chain. This is also the first kind of study that has used grey-Entropy to analyse the critical success factors and grey-EDAS for analysing the impact of various factors influencing the hotel and tourism sector's resilience.

This paper aims to focus on supply chain quality (SCQ) in the hospitality industry in China, and to stress the importance of the synergy of quality management (QM) and supply chain management (SCM). The authors have investigated the relationship among QM practices, SCM practices, SCQ and hotel performance, and examined the effect of contextual variables.

This study mainly uses a questionnaire survey to collect data relating to the research hypotheses. Structural equation model technique is suited for our research purposes, and the LISREL software is implemented to test the conceptual model.

The results show that QM practices and SCM practices are significantly correlated. QM practices/SCM practices are positively related to SCQ, and consequently influence hotel performance. SCQ has the mediating effect between QM/SCM practices and hotel performance. Contextual variables truly play a moderator between QM/SCM practices and SCQ.

Hotel managers should look beyond their own hotels into supply chain to manage quality, highlight the importance of interdepartmental or external (i.e. customers or suppliers) connectedness, such as building close and long-term relationships with well-chosen suppliers, encouraging customer involvement and establishing an effective interface for accumulating information regarding customers’ needs and feedback. Hotel managers are also able to realize the influence of contextual variables (e.g. the new normal state of the Chinese economy), and further to gain chance of hotel’s survival.

This study focuses on SCQ and tries to fill a gap in the exiting literature on SCQ management in hospitality industry.

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.

This paper is based on findings from a two‐year MPhil research project that aimed to examine the development of hotel chains in China since 1978 and to recommend policy and operational guidelines for their further expansion. The study confirmed the unique nature of the hotel industry in China, existing as it does in a country moving from a centrally planned economic system that is strongly influenced by communist dogma towards a Western‐style market economy. This paper identifies and discusses four main categories of barriers to chain development, namely: economic and political systems; hotel ownership; hotel management capability and resources; and competition between local and foreign firms. Massive growth in China’s hotel industry is forecast, and this presents a great attraction for hotel companies. However, the need to understand and appreciate these barriers is recommended to any company, local or foreign, contemplating doing business in this unusual but potentially very large market place.