Hotel Performance in the UK: The Role of Information Entropy in a Novel Slack-Based Data Envelopment Analysis

Tan, Yong; Jamshidi, Ali; Hadi-Vencheh, A.

doi:10.3390/e23020184

Cited by 5 publications

(3 citation statements)

References 78 publications

(99 reference statements)

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“…Liquidity was also related to best practices on performance in the hotel industry (Tan et al 2021). Results of this study showed that market dynamics explain the cash flow generation potential and liquidity.…”

Section: Net Profit Margin Net Income Total Salesmentioning

confidence: 73%

Impact Factors on Portuguese Hotels’ Liquidity

Santos

Gomes

Malheiros

et al. 2021

JRFM

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As a core activity in the tourism sector, hospitality accounts for the largest share of the sector’s revenue. The last few years, prior to the COVID-19 pandemic, have been years of strong growth both in the number of hotel companies and in the number of available rooms. The hospitality industry has also been betting on diversification as well as on the quality of its services. This activity has a strong impact on the various agents in the sector, thus it makes it essential to measure and analyze the sustainability of these hotels. One of the indicators that proficiently measure short-term sustainability is the company’s liquidity level, as it demonstrates its ability to meet short-term financial obligations. This type of indicator is useful since it provides relevant information not only for managers, but also for banks and lenders, and investors. Volatility is a characteristic of hotels which are associated with geographic location, implying changes in the main operating revenue indicators. In this sense, this research aimed to investigate if the ability to reimburse short-term responsibilities differs according to the geographic location, food and beverage service existence, official stars classification, and hotel size. Portuguese hotels with and without restaurants were analyzed in the 2013–2017 period and the number of available rooms and star rating were included in the database. All the information was obtained on SABI (a database of detailed financial information of Portuguese and Spanish companies) and RNET (the Portuguese Register of Tourist Enterprises). Findings show that the behavior of some hotels concerning short-term obligations does not differ much considering the location of the hotels. However, the Algarve and the North region have the highest values. In fact, the official star rating proved to have the greatest influence. The size of the hotels, as well as the existence of restaurants negatively influences liquidity. This information is very important for hotel investors. This study can also provide management information that allows more informed decision-making as well as the definition of corrective measures if necessary.

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Section: Net Profit Margin Net Income Total Salesmentioning

confidence: 73%

Impact Factors on Portuguese Hotels’ Liquidity

Santos

Gomes

Malheiros

et al. 2021

JRFM

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“…Also, Tan et al (2021) considered hotel performance. They investigated the role of information entropy in feedback processes between input and output management as well as evaluated the level of super efficiency with negative values and liquidity variables.…”

Section: Introductionmentioning

confidence: 99%

Using slacks-based model to solve inverse DEA with integer intervals for input estimation

Younesi

Lotfı

Arana‐Jiménez

2023

Fuzzy Optim Decis Making

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This paper deals with an inverse data envelopment analysis (DEA) based on the non-radial slacks-based model in the presence of uncertainty employing both integer and continuous interval data. To this matter, suitable technology and formulation for the DEA are proposed using arithmetic and partial orders for interval numbers. The inverse DEA is discussed from the following question: if the output of $$DMU_o$$ D M U o increases from $$Y_o$$ Y o to $$\beta _o$$ β o , such the new DMU is given by $$(\alpha _o^*,\beta )$$ ( α o ∗ , β ) belongs to the technology, and its inefficiency score is not less than t-percent, how much should the inputs of the DMU increase? A new model of inverse DEA is offered to respond to the previous question, whose interval Pareto solutions are characterized using the Pareto solution of a related multiple-objective nonlinear programming (MONLP). Necessary and sufficient conditions for input estimation are proposed when output is increased. A functional example is presented on data to illustrate the new model and methodology, with continuous and integer interval variables.

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“…Despite the current developments in FDI, MCDM is a growing field of study, and various approaches are continually being developed and combined to provide a fundamental basis for weighting criteria for ranking alternatives with underlying epistemic uncertainty and measuring performance (Tan et al, 2021;Wanke et al, 2023a). Therefore, this paper fills in the literature gaps by proposing a Robust Compromise (RoCo) MCDM model based on non-linear programming and building upon the findings derived from various other appraoches with regard to alternative rankings and criteria weighting.…”

mentioning

confidence: 99%

Foreign Direct Investment Performance Drivers at the Country Level: A Robust Compromise Multi-Criteria Decision-Making Approach

Wanke,

Tan,

Antunes

et al. 2024

Technological and Economic Development of Economy

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This paper focuses on the performance drivers of Foreign Direct Investment (FDI) at the country level, exploring the socio-demographic specifics of donor and receiver countries. To this end, a novel Robust Compromise (RoCo) Multi-Criteria Decision-Making (MCDM) model is proposed using non-linear programming solved by genetic algorithms. The model builds upon established traditional models for alternative ranking and criteria weighting. Subsequently, a stochastic robust regression is performed, building upon previously computed bootstrapped Tobit, Simplex, and Beta regressions to handle performance scores ranging between 0 and 1. The goal is to test FDI performance against a set of contextual variables. The findings suggest that the performance of FDI is relatively low, and relevant improvements should be made. Our second stage analysis reports that higher GDP per capita and good social welfare, including lower infant mortality and higher life expectancy, contribute to the improvement in FDI performance. Furthermore, it is found that a large percentage of women in the total population, wealth concentration in the destination country, as well as the degree of urbanization, are helpful to improve FDI performance. Finally, we find that FDI performance is mainly concentrated on industries that are high-tech and high value-added.

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Hotel Performance in the UK: The Role of Information Entropy in a Novel Slack-Based Data Envelopment Analysis

Cited by 5 publications

References 78 publications

Impact Factors on Portuguese Hotels’ Liquidity

Impact Factors on Portuguese Hotels’ Liquidity

Using slacks-based model to solve inverse DEA with integer intervals for input estimation

Foreign Direct Investment Performance Drivers at the Country Level: A Robust Compromise Multi-Criteria Decision-Making Approach

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