The Application of the Data Envelopment Analysis for Tourism Website Evaluation

Bauernfeind, Ulrike; Mitsche, Nicole

doi:10.3727/109830508787157317

Cited by 22 publications

(12 citation statements)

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“…Consequently, this paper, as far as we know, is the first paper within this context. Nevertheless, efficiency analysis has been applied for analysing the performance of golfers (Fried, Lambrinos, & Tyner, 2004;Fried & Tauer, 2011) and for evaluating tourism websites (Bauernfeind & Mitsche, 2008).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the efficiency of golf tourism via the Internet. Application to the Mediterranean countries

Ciurana

Gomis

Giménez

et al. 2013

Current Issues in Tourism

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This article aims to establish a methodology for comparing golf-tourism efficiency of a set of 14 Mediterranean countries easily using three Data Envelopment Analysis (DEA) models. We have compared three DEA models. The first model resorts only to physical variables, while the latter two also consider cybermetric variables. Approximately onethird of the 14 analysed Mediterranean countries are rated efficient by any of our models (Bosnia-Herzegovina, France, Slovenia, and Spain), while 9 countries appear inefficient in all three models. Our results show that resorting to the model exclusively based on cybermetric variables ranks the non-efficient countries exactly the same way as the model based on physical variables. We have also found an interesting result that gives us a guide for developing golf tourism at the country level.

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Section: Introductionmentioning

confidence: 99%

Analysis of the efficiency of golf tourism via the Internet. Application to the Mediterranean countries

Ciurana

Gomis

Giménez

et al. 2013

Current Issues in Tourism

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“…The first and most widely used VRS model is known as BCC (Banker et al, 1984), while the most recent one is known as the bounded adjusted measure (BAM) model (Cooper et al, 2011). The only paper we have found that is devoted to the comparison and assessment of the efficiency of tourist websites by means of DEA models is that by Bauernfeind and Mitsche (2008). The aim of this paper is completely different, since we analyse the tourism behaviour of different countries at a macro level.…”

Section: Methodsmentioning

confidence: 99%

Research Note:Efficiency in Attracting Tourists via the Web — An Application to the Mediterranean Countries

et al. 2014

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A key element of competitiveness in the tourism industry is the use of new information and communications technology (ICT). To analyse the efficiency in attracting tourists via the Web for a set of 16 Mediterranean countries, the authors use non-parametric bounded adjusted measure (BAM) models. Two models are proposed: the first analyses the influence of each country's basic characteristics on the number of tourists who visit it, while the second relates these characteristics to the number of websites dedicated to tourism. The ordering provided by the two BAM models enables comparison of the efficiency in the real attraction of tourists with the effort of attracting them via the Web.

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“…DEA is a non-parametric technique that measures the relative efficiency of Decision Making Units (DMUs) which are assumed to have the same objectives; a few examples of DMUs include banks, hotels, travel agencies, hospitals and destinations (Bauernfeind and Mitsche, 2008; Wöber, 2002). DEA is primarily described as ‘ … a method for performance evaluation and benchmarking against best-practice’ (Cook et al, 2014: 1).…”

Section: The Measurement Of Destination Competitivenessmentioning

confidence: 99%

“…DEA is primarily described as ‘ … a method for performance evaluation and benchmarking against best-practice’ (Cook et al, 2014: 1). What makes this method particularly interesting is the fact that multiple input and output variables can be processed, irrespective of the units of their measurement, without having any a priori information about the importance of the individual variables (Herrero and Salmeron, as cited in Bauernfeind and Mitsche, 2008; Wöber and Fesenmaier, 2004).…”

Section: The Measurement Of Destination Competitivenessmentioning

confidence: 99%

“…Its popularity is evident from even a brief glimpse at the comprehensive bibliography section at the DEAzone, a web page fully devoted to DEA methodology that outlines its origins, various models, terminology, application areas, courses and so on (Emrouznejad, 1995–2012). Within the tourism and hospitality domain, DEA has been applied widely in studies concerning hotels (evaluation of hotel general managers’ performance by Morey and Dittman, 1995; hotel productivity by Johns et al, 1997; Internet marketing strategies in the Greek hotel sector by Sigala, 2003), corporate travel management (Bell and Morey, 1994), destinations (competitiveness of 103 Italian regions by Cracolici et al, 2008; sustainable tourism management of 20 Italian regions by Bosetti et al, 2006; tourism advertising programmes in the United States by Wöber and Fesenmaier, 2004; marketing strategies of European museums by Remich, 2002), tourism website evaluations (Bauernfeind and Mitsche, 2008) and travel agencies (Köksal and Aksu, 2007), to name a few examples of its application areas.…”

Section: The Measurement Of Destination Competitivenessmentioning

confidence: 99%

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Towards a sustainable urban tourism development in Europe

2017

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The development of indicators and metrics systems has been identified as being of paramount importance by many tourism boards and international tourism organizations. This article discusses the bottom-up, micro-level approach of TourMIS, which is a platform for exchanging tourism statistics among tourism organizations, for collecting measures of sustainable urban tourism development. The authors provide a synthesis of various frameworks for sustainable tourism indicators for subnational regions and cities, concluding that it is more feasible to analyse existing sustainable tourism indicators than to introduce new measures lacking in direct practical applicability for the organizations. The application of data envelopment analysis (DEA) for benchmarking urban tourism destinations is then demonstrated by assessing measures available in TourMIS. Findings include inefficiency scores that suggest both managerial and political implications. Furthermore, the concept of a virtual reference destination assisting managers and politicians to analyse their destination’s strengths and weaknesses is introduced.

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The Application of the Data Envelopment Analysis for Tourism Website Evaluation

Cited by 22 publications

References 0 publications

Analysis of the efficiency of golf tourism via the Internet. Application to the Mediterranean countries

Analysis of the efficiency of golf tourism via the Internet. Application to the Mediterranean countries

Research Note:Efficiency in Attracting Tourists via the Web — An Application to the Mediterranean Countries

Towards a sustainable urban tourism development in Europe

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