Hotel Supply Chain Research Articles

Risk management strategies for smart hotel supply chain

<p>In the dynamic and interconnected world of hospitality, smart hotel supply chains play a pivotal role in maintaining operational efficiency and service excellence. However, these supply chains are susceptible to many risks, including transportation disruptions, supplier insolvencies, and cybersecurity threats, which can severely impact business continuity and degrade service quality. This conceptual paper proposes a holistic framework for identifying, assessing, and mitigating supply chain risks within the context of smart hotels. By integrating advanced technologies and strategic management practices, this study aims to reinforce smart hotel supply chains against potential vulnerabilities, ensuring sustainable business operations and superior guest satisfaction. The paper explores various risk management measures and leverages supply chain management, hospitality, and cybersecurity insights to develop a robust risk management strategy tailored for smart hotels.<strong></strong></p>

Risk management of green supply chains for agricultural products based on social network evaluation framework

AbstractThe green supply chain of agricultural products (GSCAP) is a key link for rural revitalization and sustainable development in China. However, it faces various risks from internal and external environments that threaten its performance and stability. This paper proposes a novel framework and system for identifying and evaluating the main risks in the GSCAP from the perspective of agricultural enterprises. The framework combines social network analysis (SNA) and an improved technique for order preference by similarity to an ideal solution (TOPSIS) method. SNA is used to analyze the correlations and influences among different types of risks, while the improved TOPSIS method is used to rank the risks of different GSCAPs and identify the key risks in each supply chain. The framework and system are verified by a case study of CDYBIT, a leading platform of food safety big data service in China. The results show that the supermarket supply chain has the highest risk, followed by the group catering supply chain, and the five‐star hotel supply chain has the lowest risk. The main risk factors for each supply chain are also discussed, and some suggestions for risk management are provided. This paper contributes to the literature by providing a comprehensive and systematic risk assessment framework and system for the GSCAP, which can help agricultural enterprises improve their risk awareness and response capabilities.

Retraction Note: Research on heterogeneous customer hotel supply chain channel selection model based on game theory

Retraction Note: Research on heterogeneous customer hotel supply chain channel selection model based on game theory

Effects of resource orchestration, strategic information exchange capabilities, and digital orientation on innovation and performance of hotel supply chains

Supply chain (SC) innovation has become a competitive source for hotels to enhance performance in the turbulent business environment. Drawing on the resource orchestration (RO) and information sharing (IS) theories, we propose an integrated theoretical framework delineating how strategic information exchange (SIE) and RO capabilities and digital orientation of a hotel foster innovation and enhance the performance of its SC. Based on PLS-SEM analysis of data collected from 281 hotels in the United Arab Emirates, our findings indicate that RO and SIE capabilities of hotels influence the performance of SCs, whereas SC innovation mediates the said relationships. However, contrary to the expectations, digital orientation did not moderate the relationships between RO and SIE capabilities and SC innovation of hotels.

Advertising fee as a new supply chain coordination approach between hotels and online travel agencies

PurposeChannel coordination has become an essential part of researching hotel supply chain management practices. This paper develops an improved channel coordination approach to coordinate the profit distribution between hotels and online travel agencies (OTAs) achieved through an introduction of advertising fees. This direction further improves the decentralization of cooperation and achieves Pareto improvement to achieve mutual profitability.Design/methodology/approachThe methodology used in this study involves Stackelberg game theory employed for the decision-making and analysis of both the hotel and OTA. The OTA, acting as the leader, offers a hotel a contract specifying the commission rate that the hotel will pay to the respective OTA. The hotel, acting as a follower, sets a self-interested room rate as a given response. A deterministic, price-sensitive linear demand function is utilized to derive possible analytical solutions once centralized, noncooperative decentralization and cooperative decentralized channel occurs.FindingsResults show that a new channel coordination approach is possible, namely via advertising fees. Prior to channel coordination, the OTA tends to set a higher commission rate, and the hotel sets a higher room rate in response under noncooperative decentralization. As such, this results in a lower channel-wide profit for all. One way to reduce channel-wide profit loss is to use a method of cooperative decentralization, which can, and will result in optimal profit as centralization takes place. However, the lack of incentives makes cooperative decentralization unfeasible. Further improvement is possible by using advertising fees based on a cooperative decentralization agreement, which can reach Pareto improvement.Practical implicationsThis paper helps the OTA industry and hotel owners cooperate by way of smoother coordination. This study provides practitioners with two important practical implications. The first one is that the coordination between the hotel industry and OTA through cooperative decentralization allows for the achievement of higher profitability than that of noncooperative decentralization. The second one is that this paper solves the outstanding problem of insufficient incentives characteristic of cooperative decentralization by means of an advertising fee as a new supply chain coordination approach.Originality/valueThis paper offers both the problem and solution regarding the lack of incentives that hamper cooperative decentralization without the use of advertising fees. This paper is unique in that it derives analytical solutions regarding commissions levied in a typical hotel supply chain under noncooperative decentralization.

Research on Improvement of Hotel Supply Chain Resource Management Decision in the Era of Big Data

Hotel supply chain management (SCM) refers to the material service that takes a hotel as the core object. At present, the main method is centralized SCM, which uses integer programming or mixed integer programming to establish and solve the allocation management of various resources among hotels in the supply chain. In this article, based on ant colony algorithm (ACA), the hotel SCM mode is studied and optimized. The research shows that the convergence path is A-S4-M3-L3-D1-R1-T. Therefore, the optimal partner combination meeting the requirements of the supply chain is S4, M3, L3, D1 and R1. The experiment shows that the max-min ACA is effective to solve the problem of partner selection in hotel supply chain. By using enterprise management technology, information technology, network technology and SCM technology under ACA, the effective rules and control of information flow, logistics, capital flow, business flow and value flow in the whole supply chain can be achieved, and the maximum benefit of the whole hotel supply chain can be realized.

Green Supply Chain Management Practices as a Determinant of Organisational Competitiveness: An Empirical Study Among Hotels in India

Manuscript type: Research paper Research aims: The main aim of this study is to identify the indicators of green supply chain management (GSCM) practices for hotels that have an impact on environmental sustainability and organisational competitiveness. Design/Methodology/Approach: This study employs a survey methodology with data collected from hotels in India. A structural equation modelling using warp partial least squares method (SEM) is used for data analysis and to test the hypotheses of the research model. Research findings: The results of the study indicate that the three antecedents have a positive impact on environment sustainability, which in turn positively influence the competitiveness of the hotels. Theoretical contribution/Originality: The study identifies the three GSCM antecedents that will impact environmental sustainability and organisational competitiveness, i.e., eco-friendly products, green internal environment and green management policy. Practitioner/Policy implications: The hotel industry has begun to recognise that going green can result in higher initial costs, but can lower overall operating costs. The findings of the study indicate that the three green factors identified in the upstream, midstream and downstream of the hotel supply chain are necessary for hotels to survive in the long run. Research limitation: The study can be expanded to restaurants and fast food chains in other parts of the country to measure the adoption of green practices. As more hotels and restaurants spring up in developing countries, more research in green practices along the entire supply chain is essential to for environmental preservation.

Scheduling Optimization of hotel supply chain based on heterogeneous multipopulation ant colony algorithm

Abstract A hotel supply chain management system is distributed with considerable computation. In this paper, a multi-colony ant algorithm based on heterogeneous is designed. An optimal scheme based on distributed programming is proposed. A heterogeneous multi-colony ant algorithm is a kind of ant colony with multiple characteristics. Different ant species have other population characteristics and apparent advantages and complementarity. Several heterogeneous ants with optimized performance were studied. In this paper, the collaboration is carried out on several computing nodes. The algorithm of this model can satisfy the characteristics of multiple orders. This algorithm can optimize distributed computing resources in the hotel supply chain to the maximum extent for large and complex suppliers and collaborative time ordering problems. Simulation results show that the proposed method achieves good efficiency, stability and order adaptability.

ANALYSIS OF SUPPLY CHAIN SOCIAL SUSTAINABILITY IN HOTEL INDUSTRY

Social sustainability is a beneficial approach to tracking and comprehending the effects of business on representatives, value chain employees, consumers, and nearby networks. Organizations that promote social sustainability value their relationships with people, networks, and communities. Social responsibility has proven to be critical for their core business operations, and they understand how their activities affect people. Collaboration has a human cost. A socially responsible organisation would value the safety and security of its employees in a specific industry. It will not jeopardise the health and safety of its employees by requiring them to work in an unsafe structure. This study focuses on the social sustainability in the hotel industry. According to the studys findings, many employees do not receive their pay cheques on time. Some hotels should ensure that their employees work in a secure environment. People have also agreed that they are capable of being socially sustainable. They have stated that social sustainability in the industry is extremely important to their company. Proper working conditions, as well as providing employees with health insurance, will motivate and encourage them. As social sustainability is important in all industries because it aids in long-term development, having social sustainability in the hotel supply chain can help the organisation reach great heights, as there is a saying that treat employees well they are the ones who get you the business.

RETRACTED ARTICLE: Research on heterogeneous customer hotel supply chain channel selection model based on game theory

In the context of the epidemic of New Coronavirus, customers have a heterogeneous preference for hotel consumption channels. Based on this, the hotel supply chain channel selection model was established, and the wholesale of hotels and online travel agencies (OTA) under the single-channel and dual-channel structures was analyzed. The optimal pricing under the cooperation mode with the agent provides a basis for the hotel’s channel and business model selection decision. On the basis of theoretical derivation, the use of Ctrip data to conduct numerical analysis and research found that: the choice of hotel channel structure and cooperation mode is affected by a variety of factors; when the hotel service capacity is low, the hotel will not cooperate with OTA, only Implement single-channel sales through direct sales channels; conversely, hotels will tend to cooperate with OTAs to implement dual-channel sales; when online shopping customers have a higher level of acceptance of online channels and a higher proportion or a lower commission rate, the agency model is better than wholesale Mode; otherwise, the wholesale mode is most beneficial to the hotel.The analysis shows that when the hotel service capacity is lower, the hotel only conducts direct sales through a single channel; otherwise, the hotel will tend to cooperate with OTA to sell as many rooms as possible through dual channels.

How do dynamic capabilities enable hotels to be agile and resilient? A mediation and moderation analysis

PurposeThis paper aims to empirically assess the impact of Dynamic Capabilities (DC) on the agility and resilience of hotel Supply Chains (SCs) during the COVID-19 pandemic. Design/methodology/approachWe adopted a covariance-based structural equation modeling (CB-SEM) approach. Survey data from 268 respondents of various hotels in the United Arab Emirates (UAE) was collected by operationalizing the theoretical constructs using established scales. FindingsResults showed complete mediation of SC agility for the relationship between seizing, transformation, and resilience. We did not find any support for the mediation of SC agility for the relationship between sensing and resilience. Besides, the moderation of Digital Orientation (DO) for the relationship between SC agility and resilience is also an interesting fining. Research limitations/implicationsThe primary limitation of our study is that it utilizes cross-sectional data from a single geographic location, and the data was collected at the peak of the pandemic. Practical implicationsThe empirical support for the generic DCs process's relationship with the adaptive response of hotels during the Covid-19 pandemic underscores the importance of developing organization-wide sensing, seizing, and transformation capabilities Originality/valueThe proposed model responds to the recent literature that suggests that a direct measurement of sensing, seizing, and transforming would give a complete picture of how generic DC processes shape the organizational responses to market uncertainties. Also, our conceptualization that SC agility is a necessary intervening step between the DCs sensing seizing and transforming processes and firm resilience is a novel contribution to the literature.

The Impact of COVID-19 Disruptions on Hotel Supply Chain Resilience and Robustness: The Role of Risk Alleviation Practices

The Impact of COVID-19 Disruptions on Hotel Supply Chain Resilience and Robustness: The Role of Risk Alleviation Practices

Koristi od korišćenja tehnologija za menadžment lancima snabdevanja u hotelskim preduzećima

Information and communication technologies (ICTs) have a significant role in contemporary business activities, helping companies to improve quality, efficiency, flexibility and learning capacity, to reduce costs, and finally, to achieve competitive advantage. The aim of this paper is to examine the extent of implementation, as well as the benefits of ICTs used for the hotel supply chain management (SCM). A survey has been conducted involving 40 hotels in Serbia categorized as four- and five-star. The results reveal modest to scanty adoption of SCM-related ICTs among hotels in Serbia. Hotel managers find ICTs they use as very beneficial regarding: (1) more efficient and faster guest attraction, (2) more efficient communication with suppliers, (3) increased speed, (4) increased flexibility, (5) reduced costs and (6) improved guest services. It was also found that the size and affiliation of hotels do not impact the benefits, while the category is positively associated with benefits from using the SCM technologies.

Resilience against the COVID-19 pandemic: is the hotel and tourism supply chain on the right path?

PurposeThe 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.Design/methodology/approachA 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.FindingsIn 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.Practical implicationsThe 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.Originality/valueThis 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.

Transforming Hotel Supply Chain Using Intelligent Decision Support System: Prospects and Challenges

Modern technological innovations are driving the trends to digitalize the hotel supply chains. The most famous and used technologies are artificial intelligence, robotics, blockchain, and advanced predictive analytics. These technologies provide the tools that will inevitably redesign and transform many aspects of the hotel supply chains. Thus, this study aims to investigate the opportunities and chart the path to adopt the Intelligent Decision Support System (IDSS) in hotel supply chain management. IDSS is a computerized information system that facilitates the decision-making process by creating alternatives, which can then be evaluated using a set of predetermined patterns to make reliable and fact-based decisions. To that end, this study engaged in 12 Delphi survey with hotel managers and key industry experts in Egypt and received additional inputs from 70 structured surveys conducted amongst four and five-star hotels located in Cairo, Giza, Alexandria, Sharm El-Sheikh, and Hurghada which allow a deeper insight into the prospective scenarios of how IDSS could be applied in hotel supply chain management. The results unveiled that the hotel supply chains in Egypt are moving towards digital transformation, albeit with slow steps. Also, the results revealed that data quality, analytical decision-making capabilities, and transformational impacts appear to be critical factors that influence the adoption of IDSS. A key finding of this study is that Egyptian hotels cannot reap the integration advantage of IDSS technology without additional engagement with supply chain partners.

Modeling a green supply chain in the hotel industry: An evolutionary game theory approach

Abstract Despite extensive discussion of environmental management for hotels, little research has been done on the hotel industry’s green supply chain management. This study uses the evolutionary game approach to examine the generation of green behaviors and a green supply chain by hotels. Results show that most hotels do have an incentive mechanism for green growth; hotels with green behaviors are more profitable than those that are not. Furthermore, governments and hotel customers are critical in the “greening” of traditional hotel supply chains. The findings can assist governments in formulating effective environmental policies, provide a theoretical avenue in governing green practice, and guide stakeholders to understand the formation and evolution of green development in the hotel industry.

Relationship quality and supply chain quality performance: The effect of supply chain integration in hotel industry

AbstractThis study investigates the relationship between relationship quality and supply chain quality performance in hotel supply chain, through the mediating effect of supply chain integration. A questionnaire survey is used to collect data relating to the research hypotheses. Structural equation model technique is suited for our research goals, and the SmartPLS software is implemented to test the conceptual model. The results show that relationship quality has a direct and positive impact on supply chain quality performance; but after introducing mediating variable—supply chain integration, relationship quality indirectly affects supply chain quality performance through supply chain integration. This means that a good relationship quality can promote supply chain integration and ultimately improve supply chain quality performance.

Dual-channel environmental hotel supply chain network equilibrium decision under altruism preference and demand uncertainty

To study the influence of the altruistic preference of decision makers and the low-carbon preference of consumers on decision-making behaviour in all layers of a dual-channel environmental hotel supply chain, this paper constructs a dual-channel supply chain network equilibrium model comprising hotels, online travel agent(OTA) platforms and demand markets. Under the condition of uncertain demand from the merchant and agency mode perspectives, variational inequalities are used to describe the altruistic preference of each layer of agents and their mutual influence and the low-carbon preference of consumers. Then the equilibrium conditions of the system are obtained and the optimal decision-making results are obtained by using the improved projection gradient algorithm. Finally, the effectiveness of the model is verified through a numerical case analysis. It is found that the increase effort in carbon emission reduction has a significant impact on the profits of hotels and online travel agency platforms. The altruistic preferences of decision makers have different impacts on the supply chain under the merchant mode and the agency mode. When the altruistic preference for the OTA platform increases, the OTA platform model is more profitable than the merchant model. The deeper the degree of hotel altruism preference is, the greater the intra-hotel cooperation, which may lead to the rise of an Environmental Tourism Products and Service(ETP&S) volume in the direct selling market of hotels and make the profit of the OTA platform decrease slightly; however, the profit under the OTA platform is still higher than that under the merchant mode.

Research on hotel supply chain risk assessment with dual generalized triangular fuzzy Bonferroni mean operators

In this paper, we investigate the multiple attribute decision making (MADM) problems with triangular fuzzy information. Motivated by the ideal of dual generalized Bonferroni mean and dual generalized geometric Bonferroni mean, we develop two aggregat

A service-oriented material management model with green options

The debate on the sustainability of service supply chain has recently become notorious with the increased environmental and economic impacts of service materiality. Cost-effective material management in the service domain has, therefore, become a competitive priority and a means for sustainability. This essentially requires the development of quantitative models with green options for optimizing material sourcing, transportation, inventory, processing, and reverse logistics. It is, however, a challenge to assess and integrate the economic and environmental costs of material procurement and consumption within service systems. The gap is more evident in service-only supply chains such as tourism, finance, and healthcare. Thus, this paper develops a service-oriented optimization model with green options for effective material management in a service environment. The developed model is focused on managing the material procurement and processing across the supply chain of a service firm (a hotel supply chain as an example). Mathematical formulation is first provided for a deterministic single-order model and this is then extended to a multi-period comprehensive material planning model. Proposed formulations are demonstrated through a simulated supply chain of accommodation services in a hotel. The theoretical and practical implications of the results are discussed along with directions for future research. The value-added of this research is providing insight into material management across service supply chains, optimizing material assignment to offered services, and extending the impacts of green options to the whole supply chain of hotels and accommodation services.