The Measurement of Efficiency in Portuguese Hotels Using Data Envelopment Analysis

Barros, Carlos; Santos, Carla Almeida

doi:10.1177/1096348006286798

Cited by 99 publications

(66 citation statements)

References 56 publications

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“…Hotel companies that concentrate on their core business and have a focused strategy perform better than companies that concentrate on diversified activities (Neves & Lourenco, 2009). Barros and Santos (2006) propose that for improving efficiency an enhanced-incentive policy should be implemented, as well as to upgrade the quality of hotel management practices, adjust prices according to market demands, ensure better labour controls and adopt procedures for benchmarking. Ashrafi, Seowb, Lee, and Lee (2013) tried a different approach.…”

Section: Data Envelopment Approach In the Hospitality Industrymentioning

confidence: 99%

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Efficiency in the hotel industry: an empirical examination of the most influential factors

Poldrugovac

Tekavčič

Janković

2016

Economic Research-Ekonomska Istraživanja

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The purpose of this article is to provide insights into hotel efficiency and investigate which hotels are performing better. Hotel efficiency is examined using data envelopment analysis (DEA) and the outputoriented BCC model is applied on the hotels' internal accounting information. The study further explores whether there are differences in efficiency between hotels of different size and quality. The results show that average efficiency is high, but not all hotels are performing at their maximum efficiency. A significant relationship between size and hotel efficiency has been found. This study provides a potential framework for efficiency measurement and contributes to the growing body of knowledge in the area of hotel efficiency in the context of a country that is predominantly concentrated on seasonal seaside tourism. The results of this research offer useful insights for hotel managers, suggest ways of enhancing hotel productivity and provide guidance on which aspects to focus their attention in the decision-making process.

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Section: Data Envelopment Approach In the Hospitality Industrymentioning

confidence: 99%

“…Based on the research of Barros and Santos (2006), Chen (2007), Min, Min, and Joo (2008), Hsieh, Wang, Huang, and Chen (2010) and Assaf and Magnini (2011), the new hotel efficiency model is proposed ( Table 2).…”

Section: Research Question 3: Is There Any Difference In Efficiency Bmentioning

confidence: 99%

Efficiency in the hotel industry: an empirical examination of the most influential factors

Poldrugovac

Tekavčič

Janković

2016

Economic Research-Ekonomska Istraživanja

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“…Previous studies have suggested that the consumption of fixed capital (x 1 ) (e.g., [58][59][60][61]) can be considered as the input of economic resources because it represents the investment in the value of the fixed capital used in the process of economic output. In addition, employees are the main input in economic activity [62][63][64]. The data that concern employees include the employee turnover rate (x 2 ) and their working time.…”

Section: Data Sources and Variablesmentioning

confidence: 99%

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

Yeh

2017

Sustainability

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Abstract:The severity of workplace injuries varies by industry. Information on workplace injuries can enable firms and governments to effectively improve their safety performance based on the specific contexts of each industry. Incorporating the three workplace injury rates (being wounded or ill, disability, and death), a data envelopment analysis (DEA) model is developed to evaluate the safety performance of 17 industrial sectors in Taiwan. The results suggest that the Taiwanese government should pay particular attention to the mining and quarrying industry, which has the lowest safety performance. Additionally, the results provide abundant information for the Taiwanese government to design industry safety regulations in a way that may prompt firms to develop a sustainable economy by improving their health and safety practices and enhancing their overall safety performance.

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“…Morey and Dittman (1995) evaluated the performance of 54 hotels of a national chain in the U.S, and found these hotels were quite efficient, with an efficient score of 0.89. More recent applications include Anderson, Fok and Scott (2000), Hwang and Chang (2003), Barros and Alves (2004), Daniels (2004), Chiang, Tsai andWang (2004), Barros (2005), Barros and Santos (2006), Köksal and Aksu (2007), Botti et al (2009), Perrigot et al (2009), Assaf (2012 and many others. However, there are only very few works which have studied the tourism sector at a territory level: Bosetti et al (2006, Barros et al (2011) and these papers have used basic DEA model (CCR for Charnes et al (1978) model and/or BCC for Banker et al (1984) model) as theoretical framework.…”

Section: Efficiency Measurement In Tourismmentioning

confidence: 99%

Destination performance: Introducing the utility function in the mean-variance space

Zhang¹,

Botti

Petit

2016

Tourism Management

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Economic characteristics of home countries can cause considerable variations in the tourism demand. For example, the average level of expenditure per tourist varies from one origin to another and these variations may alter overtime. Thus different tourist nationalities are associated with different level of expenditures and risks. Therefore strategies aimed at minimizing the variations may become an important issue for the policy makers. In this paper, we aim to use the productivity measurement theory in a mean-variance space to a French region (Nord Pas-de-Calais) by introducing the utility function in a mean-variance framework. With this method, we can calculate the optimal portfolio share for each origin and give some useful political advices to the policy decision makers to improve the performance of the tourist sector.

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The Measurement of Efficiency in Portuguese Hotels Using Data Envelopment Analysis

Cited by 99 publications

References 56 publications

Efficiency in the hotel industry: an empirical examination of the most influential factors

Efficiency in the hotel industry: an empirical examination of the most influential factors

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

Destination performance: Introducing the utility function in the mean-variance space

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