Case Study Of Hotels Research Articles

Research on Marketing Strategies for Parent-Child Hotel Products Based on the Needs of the 'New Middle Class' Family"-A Case Study of Hotel A

Research on Marketing Strategies for Parent-Child Hotel Products Based on the Needs of the 'New Middle Class' Family"-A Case Study of Hotel A

A Novel Approach to Determine Multi-Tiered Nearly Zero-Energy Performance Benchmarks Using Probabilistic Reference Buildings and Risk Analysis Approaches

The Energy Performance of Buildings Directive (EPBD) mandates European Union Member States (MS) to conduct cost-optimal studies using the national calculation methodology (NCM), typically through non-calibrated asset-rating software. Nearly zero-energy building (NZEB) levels must be derived for each chosen Reference Building (RB), which are generally defined using deterministic parameters. Previous research proposed an innovative cost-optimal method that replaces ‘non-calibrated deterministic RBs’ with ‘probabilistically Bayesian calibrated reference building (RB)’ to better handle building stock uncertainties and diversities when deriving benchmarks. This paper aims to develop a framework to address two research gaps necessary for the successful application of the innovative cost optimal method: (1) providing objective criteria for defining NZEB benchmarks and (2) propagating uncertainties and financial risk for each defined benchmark. A robust approach for defining NZEB benchmarks according to four different ambition levels (low, medium, high, and highest) was developed by objectively considering distinct points from multiple cost-optimal plots employing different financial perspectives. Risk analysis is then performed for each defined benchmark by propagating risk from the posterior calibration parameter distributions to visualize and statistically quantify the financial risk, including robust risk, that the private investor could face for reaching each derived benchmark ambition level. The innovative cost-optimal methodology that incorporates the developed framework was applied to a hotel RB case study. The results showed that the developed framework is capable of deriving distinct benchmarks and quantitatively uncovering the full financial risk levels for the four different renovation ambition levels. The current cost-optimal method was also performed for the hotel case study with the RB defined determinitically and using the non-calibrated NCM software, SBEM-mt v4.2c. It was found that the financial feasibility and energy-saving results per benchmark are significantly more realistic and transparent for the proposed innovative cost-optimal method including a better match between the simulated and metered energy consumption with a difference of less than 1% in annual performance. Thus, the performance gap between calculated and actual energy performance that is synonymous with the EPBD methodology, as reported in the literature, is bridged. The case study also showed the importance of the risk analysis. Performing the cost-optimal analysis for a Bayesian calibrated RB using the mean value of the posterior calibrated parameter distributions without propagating uncertainty produced highly optimistic results that obscured the real financial risk for achieving the higher ambition levels of the NZEB benchmarks. Consequently, the developed framework demonstrated a time-bound tightening approach to achieve higher energy performance ambitions, improve risk transparency to private investors, and facilitate more targeted policies towards a net zero-carbon status. Thus, the proposed method considering parameter uncertainty and calibrated RBs is instrumental for devising robust policy measures for the EPBD, to achieve a realistic and long-lasting sustainable energy goal for European buildings.

The influences of hotel characteristics on the risk impacts and effectiveness of crisis management: A case study of hotels in Phuket, Thailand

The influences of hotel characteristics on the risk impacts and effectiveness of crisis management: A case study of hotels in Phuket, Thailand

Local Government Taxing Power for Digital Consumption: A Case Study of Hotel, Restaurant, and Entertainment Taxes in Indonesia

Limited tax collection authority in local self-governments hampers revenue generation in rural regions with smaller populations and limited commercial activity, while the growth of the digital economy further complicates tax collection for local governments. The objective of this study is to examine the challenges encountered by both the central and local tax administrations in Indonesia when implementing consumption-based taxation, especially in light of the increasing prevalence of digital transactions. The study reveals that the shift from traditional to digital transactions is likely to result in conflicting taxing rights between central and local governments. Local governments are typically entitled to a share of taxes on certain forms of consumption, such as accommodation, food delivery, and entertainment. However, the use of digital platforms to provide these services has significantly reduced the local government’s share of tax revenue. This issue is exacerbated when the central tax administration, with its competitive advantage, administers the transaction alongside the broader value-added tax object. In addition to the unclear tax-sharing arrangement, the underlying problem consists in the inadequate coverage of all digital transactions, potentially leading to revenue leakage and double non-taxation.

Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca.

Big social data and user-generated content have emerged as important sources of timely and rich knowledge to detect customers' behavioral patterns. Revealing customer satisfaction through the use of user-generated content has been a significant issue in business, especially in the tourism and hospitality context. There have been many studies on customer satisfaction that take quantitative survey approaches. However, revealing customer satisfaction using big social data in the form of eWOM (electronic word of mouth) can be an effective way to better understand customers' demands. In this study, we aim to develop a hybrid methodology based on supervised learning, text mining, and segmentation machine learning approaches to analyze big social data on travelers' decision-making regarding hotels in Mecca, Saudi Arabia. To do so, we use support vector regression with sequential minimal optimization (SMO), latent Dirichlet allocation (LDA), and k-means approaches to develop the hybrid method. We collect data from travelers' online reviews of Mecca hotels on TripAdvisor. The data are segmented, and travelers' satisfaction is revealed for each segment based on their online reviews of hotels. The results show that the method is effective for big social data analysis and traveler segmentation in Mecca hotels. The results are discussed, and several recommendations and strategies for hotel managers are provided to enhance their service quality and improve customer satisfaction.

Hotel food waste in Cyprus: An exploratory case study of hotels in Limassol

Hotel food waste in Cyprus: An exploratory case study of hotels in Limassol

Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman

Climate change is the most serious threat that the modern world has ever faced. This has led to increasing attention from the government, industries, researchers, and practitioners on the theme of green practice. Due to the heightened awareness of climate change, the hospitality industry is under pressure to implement green practices and reduce the environmental impact of their operation. The research aims at understanding the indicators that define green practice in the hospitality industry and then developing a model that can be used to measure the green score. The research identifies twenty-six indicators of green practice in the hotel industry. These indicators were clustered into six different criteria. Based on the identified indicators and criteria, an integrated fuzzy AHP-TOPSIS method is proposed to calculate the green score. The fuzzy AHP method is used to calculate the weight of the criteria and indicators, while the fuzzy TOPSIS method is used to calculate the green score and rank hotels. The fuzzy AHP result shows that the criterion “Recycling and Reuse” has the highest weight among the identified criteria, while “Green Training and Incentives” has the lowest weight. The application of the proposed method is demonstrated by using a case study of hotels situated in the Sultanate of Oman. The result shows that the 4-star and 5-star hotels in the Sultanate have green scores between 0.56 and 0.641 out of 1.0 at a 95% confidence interval. The results further show that having a high star ranking hotel does not necessarily mean that the hotel is better in terms of green practice. The developed model helps the hotel industry to understand the indicator and criteria, as identified in this research work, they need to improve in order to improve their overall green management practice.

THE MODERATING EFFECT OF COVID-19 ON THE RELATIONSHIP BETWEEN WORK-LIFE BALANCE AND HOTEL EMPLOYEES’ FEARS

Purpose - The hotel environment has changed dramatically during the COVID-19 and has brought many negative social consequences for employees. Among them are employee fears of COVID -19. One of the coping strategies for the consequences of COVID -19 is the Work-Life Balance (WLB). This research mainly examined the influence of WLB on employees’ fears of the threat of COVID-19. The objectives were: (1) Evaluating to what extent the hotel managers practice WLB amid COVID-19; (2) Describing the relationship between WLB and hotel employees’ fears; (3) Identifying the moderating effect of COVID-19 in the relationship between WLB and hotel employees’ fears. Design/methodology - A multiple hotel case study with an online questionnaire (n=370) complemented with seven semi-structured interviews was applied with hotel managers in Egypt. Findings - The results showed that WLB reduced hotel employees’ fear of COVID -19. COVID -19 positively moderated the relationship between WLB and employee fears. Originality - The value of this research expands our knowledge regarding the social outcomes of COVID-19 among hotel staff by offering empirical evidence of the WLB mechanism in reducing fears of COVID-19 depending on social support theory and theory of risk. Critical implications for the hotel managers are highlighted to understand the inevitability of WLB initiatives to overcome staff perceived fears.

Model of Quality Management Systems adoption in the hotel industry: A case study of hotels in Zimbabwe

Abstract The article is the construction of a model of quality management system (QMS) adoption in the hotel industry grounded on a case study of multiple hotels in Zimbabwe. QMSs in the hotel industry are adopted to guarantee that certain levels of quality required by customers are achieved. Achievement of certain levels of quality can result in better customer satisfaction, which is important to ensure sustainable operations for hotels. The study was concerned with the late adoption of QMSs in the hotel industry due to a number of internal and external factors. This study is an extract from a PhD project, which investigates external and internal factors affecting QMS adoption in hotel industry. To attain the objectives, interviews were conducted with hotel managers and key stakeholders, while focus groups were conducted with hotel staff to outline the factors affecting the adoption of QMSs and to get general enablers for adopting these systems. Directed content analysis and NVivo 12 were used to analyse data. The Eisenhardt's Model of developing theory from case studies was used. The study draws upon QMSs from 1970s to 2020s. The main factors affecting adoption of QMSs were established and their interrelatedness established. The BASERA-MWENJE model of QMS adoption was developed. The model has not been tested, besides some parts of it, during work. Model differences and similarities were identified from literature to fortify the BASERA-MWENJE model of QMSs adoption. This model will be offered to the hotel industry and other industries in general to simplify and improve the adoption of QMSs under Zimbabwe's National Development Strategy 1 (NDS) to realise Vision 2030 ‘Towards a Prosperous and Empowered Upper Middle-Income Society’.

Applying Green Practices in Hotels Sector to Ensure Sustainable Development-Case Study of The Hotels in Siwa Oasis

Hotel sector is one of the most important factors affecting pollution globally, so the adoption of green practices (environmentally friendly practices) in that sector had a direct impact on sustainable development issues. Therefore, this research aims to present an overall approach to highlight, evaluate the green practices in Siwa hotels and their relationship to sustainable development. The data was collected by a questionnaire form by personal interview with hotel managers including 11 hotel intentionally selected who do green practices only out of total 20 hotel in Siwa Oasis. In addition to hotel case study and photographing. The Results shows significant correlation between green energy practices as a dependent variable and between the total number of hotel stars and ISO certificates only as independent variables at a significant level of 0.05 and the most positive results for Taziry Ecolodge hotel. These results support the application of green practices systems in the hotel sector to ensure sustainable development in water resources, energy, solid waste and food.

Importance of Garni Activities in the Sustainable Tourism: A Case Study of Hotels

This article provides a broad overview of sustainability in the hospitality and tourist business, as well as content information on sustainability that could be useful in hospitality and tourism education. The study focuses on the following question in particular: What role does sustainability education play in the hospitality and tourism industry? Themes in sustainability education are recognised in the accommodation, meetings and events, and food and beverage sectors, as well as implementations of sustainability principles in hospitality and tourism operations and perspectives on the future direction of sustainability education in this subject.

A Birandom Chance-Constrained Linear Programming Model for CCHP System Operation Management: A Case Study of Hotel in Shanghai, China

Due to its capability to reduce fuel consumption and increase energy efficiency, the combined cooling, heating, and power (CCHP) system has obtained great concern during the last decade. A large number of deterministic and stochastic optimization models were proposed for supporting the operation management of the CCHP system, but few studies noticed that users’ demands in the real world may be subjected to twofold randomness with incomplete or uncertain information. In this study, a birandom chance-constrained linear programming (BCCLP) model is developed for identifying optimal operation strategies under random uncertainties. Compared with traditional stochastic programming models, the BCCLP model made the improvement through describing the energy demands as the birandom variables firstly, instead of traditional random variables. This way effectively avoided potential imbalance between energy supply and demand caused by oversimplified expression of uncertain parameters. A gas-fired CCHP system of a hotel in Shanghai, China, was used as a study case for demonstration. A variety of operation strategies are obtained under specific constraints-satisfaction conditions. It is concluded that the BCCLP model was capable of generating the cost-effective operation strategies and evaluating the tradeoffs between system economy and reliability. The influence imposed by some critical parameters on the system performance was examined through the sensitivity analysis, which provided the important guidance to the design and operational management of other similar CCHP systems in the future.

Approximation from the Humanist Administration in a Case Study of Hotels in Villa De Leyva, Boyacá

Purpose: To learn about the interpretations that the internal actors of the hotels in Villa de Leyva have about business management, in the context of the humanist administration. Design: Based on qualitative research, a descriptive study was addressed. Methodology: The method used was the case study applied to a non-probabilistic sample of three organizations in order to get an approximation of the social reality and in this way, identify the management styles that are developed in the hotels of the municipality of Villa de Leyva, Boyacá . In this context, the information was collected through in-depth interview technique. Findings: It was evidenced that, most of Villa de Leyva hotels develop practices that are far from the humanist administration, this is why, it would have greater relevance to apply this type of postulates to improve the competitiveness and projection of this type of organizations, as well as, the stability and happiness of employees. Originality of the research: This research is a pioneer in the Boyacá region. The results show perceptions in the context of these hotels about the humanist administration, which, unfortunately, is not always taken into account.

Corporate Social Responsibility Communications on Social Media and Consumers’ Brand Engagement: A Case Study of Hotels in Hong Kong

ABSTRACT This paper aims to investigate how the communication of the three major types of corporate social responsibility (CSR) initiatives (i.e. environmental, societal and stakeholders’ CSR) on Facebook affect consumers’ brand engagement. A preliminary content analysis on 100 hotels’ Facebook was conducted to identify the current usage of Facebook for CSR communication among hotel firms in Hong Kong. Then, a consumer survey was conducted with 314 Facebook users in order to collect data for testing the conceptual framework. The empirical findings unveil that disclosure of societal CSR on Facebook has a strong explanatory power of consumer brand engagement, whereas that of environmental CSR was close to reasonable. This study provides insights into hotel firms’ usage of Facebook as a platform for CSR communication. The findings might ease industry practitioners’ apprehension of disclosure of CSR initiatives on Facebook.

Feasibility study for full-service independent hotel : A case study in hotel X Bandung, Indonesia

The purpose of this study is to show the implementation of a feasibility study for the hotel project by using Political, Economic, Social and Technology (PEST) analysis, Porter’s five forces and Resource-Based View (RBV). A case study was conducted in a full-service independent four-star hotel project in Bandung, Indonesia. Direct observation from the researchers in the hotel project and secondary data analysis from related documents are used in the feasibility study report to support the investigation. Finally, the capital budget calculation is being used to recommend the feasibility of the hotel project. As a result, it is apparent that the hotel X investment is feasible to proceed. Some recommendations are given for hotel owners related to the business environment analysis and in creating a feasibility study specially designed for the hotel business. Managerial implication of this study can be useful for companies in making the right decisions in the development or expansion, and to minimise the long-term losses. Limitation of this research is in only analysing one hotel in a four-star classification; further analysis can be applied in a different location, classification, and different types of hotel service.

Service Quality in Northern Region Tourism Industry: A Case Study of Hotels in Tamale Metropolis in the Northern Region of Ghana

Service Quality in Northern Region Tourism Industry: A Case Study of Hotels in Tamale Metropolis in the Northern Region of Ghana

Thermal Performance Analysis of an Absorption Cooling System Based on Parabolic Trough Solar Collectors

Solar radiation intensity significantly influences the cooling loads of building, and the two are correlated and accorded to a certain extent. This study proposes a double effect LiBr–H2O absorption cooling system based on the parabolic trough collector (PTC) of solar heat energy. Thermodynamic models including PTC and absorption chiller are constructed, and their accuracy is verified by comparing the simulation results and the experimental data. Subsequently, the impact of variable design parameters on the thermodynamic performance is analyzed and discussed. The analysis of a solar cooling system in a hotel case study is related to its operation in a typical day, the average coefficient of performance of the absorption chiller is approximately 1.195, and the whole solar cooling system achieves 61.98% solar energy utilization efficiency. Furthermore, the performance comparison of a solar cooling system in different types of building indicates that higher matching and a higher correlation coefficient between the transient solar direct normal irradiance and cooling load is helpful in decreasing the heat loss and improving systemic performance. The solar cooling system in the office building exhibits a correlation coefficient of approximately 0.81 and achieves 69.47% systemic thermal efficiency.

Emotional Labor within Hotel Industry – A Case Study of Hotels in Ranchi

Emotional Labor within Hotel Industry – A Case Study of Hotels in Ranchi

A Study of the Impact of Business Strategy on Customers Tourism Behaviors, Motivation, and Satisfaction -A Case Study of Hotels at Kenting, Taiwan

A study was conducted via questionnaire to explore the impact of business strategy of hotels at Kenting Area on customers’ tourism behaviors, motivations, and satisfaction. The results of the research were as follows: the most were tourists visit Kenting on holidays, the majority of the tourists were males, aged 21-30, students, general and vocational high schools, from the southern Taiwan, with personal monthly income of NT$20,001 - NT$40,000, the most were tourists visit this hotel for the first time as individual tourist. The features of tourists was went to Kenting to play and stay overnight, and the critical for the business management of hotels was aim to leading innovation and sustainable development, followed by the most important strategy for learning experienced activities, we recommend to have such package tour for the hotel marketing, to mainly focus on the professional manpower training of hotels, and the partnership of hotels were alliance strategy to create the profit maximization.

Application of Conjoint Analysis in Improving the Value of New Product Development

One of the most important elements of economic and business activity is developing a strategic marketing plan to improve growth prospects. One of the most important aspects of this in marketing is to understand the behavioral patterns of customers, in order to meet their needs and achieve business objectives. The consumer behavior analysis is key to establish the level of preferences expressed by the consumer towards a product or service. For this reason, conjoint analysis (CA) is one of the main models in the field of consumer research. This paper identifies the usefulness of CA as a marketing strategy in new product development (NPD). An application to “Forte Hotel Design” (presented by Lilien and Rangaswamy, 2004) is developed to highlight how CA can be an effective tool for marketing new products/services. Forte Hotels is a European hotel chain that wants to open a new facility in the United States. This research demostrates that there are multiple ways to conduct marketing research for any product or service. While the Forte Hotel case study used segmentation and targeting tools in its original analysis, the study shows that CA can also be used to analyze this marketing problem and can lead to similar decisions. This study highlights the value of CA as a tool to evaluate product attributes and shows its value in helping to make marketing decisions. It also shows that there is more than one way to dissect a marketing problem. The original case was solved using segmentation and targeting marketing tools, but this study shows that CA can be used to effectively make marketing decisions on new product development that lead to the same results/decisions as other marketing tools. This study shows original ways of using CA, to dissect a service design problem in new product development and to facilitate both product management and project management.