Performance evaluation of the hotel industry in an emerging tourism destination: The case of Oman

Oukil, Amar; Channouf, Nabil; Al-Zaidi, Asma

doi:10.1016/j.jhtm.2016.05.003

Cited by 81 publications

(69 citation statements)

References 66 publications

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“…However, studies exploring non‐European contexts are becoming increasingly common, reflecting the diversification of tourist demand. Examples include Untong, Kaosa‐Ard, Ramos, and Rey‐Maquieira () analysing hotel efficiency in Thailand; Assaf and Agbola () who examine the hotel sector in Australia; Honma and Hu () in Japan; the study by Oukil et al () for the case of Oman in the near east; or finally the study by Mendieta‐Peñalver, Perles‐Ribes, Ramón‐Rodríguez, and Such‐Devesa () dealing with a chain of hotels that operates at an international level.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is common in the literature to see how tourist destination performance is determined by the presence of cultural and natural resources (Cuccia et al, ; Herrero & Gómez, ; Ribaudo & Figini, ). Accumulating such resources affords tourist destinations a comparative advantage (Hadad et al, ; Oukil et al, ), enhances their visibility on the tourist scene, diversifies the possible motivations for attracting different groups of consumers, and thus helps place the tourist destination in question in a more competitive and efficient position. In this regard, we include three well‐differentiated variables: UNESCO declarations of cultural heritage (material and immaterial) and their equivalent in the area of natural heritage , encompassing those cultural and material elements that are most renowned and prestigious at an international level.…”

Section: Case Studymentioning

confidence: 99%

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Achieving tourist destination competitiveness: Evidence from Latin‐American and Caribbean countries

Gómez‐Vega

Prieto

2018

Journal of Tourism Research

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We evaluate tourist efficiency in Latin‐America and the Caribbean, an area of growing interest in international tourism. We take 17 countries with homogeneous information for 2011–2015 and apply a two‐stage conditioned evaluation. We gauge efficiency using data envelopment analysis of a production function to maximize overnight stays given tourist resources and estimate the impact of external factors for infrastructures, cultural and natural resources, level of development, and so forth. We use a double bootstrap procedure to correct bias in efficiency ratios and serial correlation with second stage variables. We find that countries operate below their possibilities when attracting international tourism. The most efficient are in the Caribbean and Mexico, who specialize in sun and sand tourism. There is evidence that cultural resources and transport infrastructure improve performance. We find the opposite for natural resources and other infrastructures. This research furthers our knowledge of tourist efficiency analysis in an area where such studies remain scarce.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Achieving tourist destination competitiveness: Evidence from Latin‐American and Caribbean countries

Gómez‐Vega

Prieto

2018

Journal of Tourism Research

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“…Given K CPs, with

{\overset{true˜}{boldx}}_{k} = ((),, {\overset{x}{true}}_{k 1} \dots {\overset{x}{true}}_{italickN})

and

{\overset{true˜}{boldy}}_{k} = ((),, {\overset{y}{true}}_{k 1} \dots {\overset{y}{true}}_{italickM})

the vectors of normalized PRs of the inputs and outputs of CP k ( k = 1,…, K ), respectively, the output‐oriented DEA model (Oukil, Channouf, & Al‐Zidi, ) for CP p ( p = 1,…, K ) writes as

\begin{matrix} lefttrue \\ E_{italicpp}^{*} & = \min {false\sum}_{i = 1}^{N} {\overset{x}{false}}_{italicpi} v_{italicpi} \\ s . t & {false\sum}_{j = 1}^{M} {\overset{y}{true}}_{italicpj} u_{italicpj} = 1 \end{matrix}

((), CCR) \begin{matrix} centertrue \\ {false\sum}_{i = 1}^{N} {\overset{x}{true}}_{italicki} v_{italicpi} - {false\sum}_{j = 1}^{M} {\overset{y}{true}}_{italickj} u_{italicpj} \geq 0 & k = 1, \dots, K \\ v_{italicpj} \geq 0 & i = 1, \dots, N \\ u_{italicpj} \geq 0 & j = 1, \dots, M \end{matrix}

where v p = ( v p 1 , …, v pN ) and u p = ( u p 1 , …, u pM ) are vectors of attribute weights to be determined optimally for the inputs and the outputs of CP p and

E_{pp}^{*}

is its self‐efficiency score. The attribute weights v p and u p stand as measures of partial importance of the input and the output factors according to the value system of p .…”

Section: A Two‐model Hybrid Approach For Rankingmentioning

confidence: 99%

A hybrid multi‐attribute decision‐making procedure for ranking project proposals: A historical data perspective

Oukil

Govindaluri

2019

Manage Decis Econ

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This paper develops a hybrid multiattribute decision‐making methodology for ranking project proposals (PPs) through a judicious usage of historical data of completed projects to determine attribute weights, enabling elimination of problems associated with projected data such as cost and schedule overruns of real‐world projects. The weights generated from data envelopment analysis are explicitly utilized for ranking PPs while allowing subjectivity to be ingeniously incorporated into the decision process. The new approach is implemented for ranking 25 PPs, and the rankings it yields are found indifferent to the decision maker's attitude, which ascertains the robustness of the ranking methodology.

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“…For example, the Severe Acute Respiratory Syndrome (SARS) is a serious disease which affected tourism in most Asian countries. Many authors have analyzed the impacts of various disease outbreaks on travel and tourism for various countries using econometric methods (Chen, Jang, & Kim, 2007;Chien & Law, 2003;Kou, Chen, Tseng, Ju, & Huang, 2008;McAleer, Huang, Kuo, Chen, & Chang, 2010;McKercher & Chon, 2004;WTTC, 2003;Wilder-Smith, 2006;Tung & Chao, 2011;Oukil, Channouf, & Al-Zaidi, 2016;Cuhadar, 2014). By contrast, Cankurt and Subasi (2016), Song, Li, Witt, andAthanasopoulos (2011), Turner (2015) and many others used structural TS analysis to model and forecast tourist demand.…”

Section: A Brief Review Of Literaturementioning

confidence: 99%

The swine flu and its impacts on tourism in Brunei

Haque

Haque²

2018

Journal of Hospitality and Tourism Management

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Performance evaluation of the hotel industry in an emerging tourism destination: The case of Oman

Cited by 81 publications

References 66 publications

Achieving tourist destination competitiveness: Evidence from Latin‐American and Caribbean countries

Achieving tourist destination competitiveness: Evidence from Latin‐American and Caribbean countries

A hybrid multi‐attribute decision‐making procedure for ranking project proposals: A historical data perspective

The swine flu and its impacts on tourism in Brunei

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