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    Rights statement: This is the author’s version of a work that was accepted for publication in Tourism Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tourism Management, 69, 2018 DOI: 10.1016/j.tourman.2018.05.008

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Measuring hotel performance: Toward more rigorous evidence in both scope and methods

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Measuring hotel performance: Toward more rigorous evidence in both scope and methods. / Assaf, A. George; Tsionas, Mike.
In: Tourism Management, Vol. 69, 12.2018, p. 69-87.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Assaf AG, Tsionas M. Measuring hotel performance: Toward more rigorous evidence in both scope and methods. Tourism Management. 2018 Dec;69:69-87. Epub 2018 Jun 5. doi: 10.1016/j.tourman.2018.05.008

Author

Assaf, A. George ; Tsionas, Mike. / Measuring hotel performance : Toward more rigorous evidence in both scope and methods. In: Tourism Management. 2018 ; Vol. 69. pp. 69-87.

Bibtex

@article{39f792e596d042b089a979b2255fb3d4,
title = "Measuring hotel performance: Toward more rigorous evidence in both scope and methods",
abstract = "This paper extends the literature on hotel performance in both scope and methods. We introduce a model that accounts for heterogeneity in a flexible way and allows for the measurement of both efficiency and productivity. The model also accounts for the endogeneity problem in inputs and the issue of unobserved prices. We use a large sample of hotel companies that spreads across multiple geographical regions and locations, and accounts for some interesting and key determinants of hotel performance. We provide more validation to some contradictory findings in the literature. We show that large hotels do not necessarily outperform small hotels, and that hotel efficiency differs based on location, geographical region and type of service. The results further indicate that productivity growth is not a driving force in the industry.",
keywords = "Hotel performance, Efficiency, Productivity, Heterogeneity, Bayesian stochastic frontier",
author = "Assaf, {A. George} and Mike Tsionas",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Tourism Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tourism Management, 69, 2018 DOI: 10.1016/j.tourman.2018.05.008",
year = "2018",
month = dec,
doi = "10.1016/j.tourman.2018.05.008",
language = "English",
volume = "69",
pages = "69--87",
journal = "Tourism Management",
issn = "0261-5177",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Measuring hotel performance

T2 - Toward more rigorous evidence in both scope and methods

AU - Assaf, A. George

AU - Tsionas, Mike

N1 - This is the author’s version of a work that was accepted for publication in Tourism Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tourism Management, 69, 2018 DOI: 10.1016/j.tourman.2018.05.008

PY - 2018/12

Y1 - 2018/12

N2 - This paper extends the literature on hotel performance in both scope and methods. We introduce a model that accounts for heterogeneity in a flexible way and allows for the measurement of both efficiency and productivity. The model also accounts for the endogeneity problem in inputs and the issue of unobserved prices. We use a large sample of hotel companies that spreads across multiple geographical regions and locations, and accounts for some interesting and key determinants of hotel performance. We provide more validation to some contradictory findings in the literature. We show that large hotels do not necessarily outperform small hotels, and that hotel efficiency differs based on location, geographical region and type of service. The results further indicate that productivity growth is not a driving force in the industry.

AB - This paper extends the literature on hotel performance in both scope and methods. We introduce a model that accounts for heterogeneity in a flexible way and allows for the measurement of both efficiency and productivity. The model also accounts for the endogeneity problem in inputs and the issue of unobserved prices. We use a large sample of hotel companies that spreads across multiple geographical regions and locations, and accounts for some interesting and key determinants of hotel performance. We provide more validation to some contradictory findings in the literature. We show that large hotels do not necessarily outperform small hotels, and that hotel efficiency differs based on location, geographical region and type of service. The results further indicate that productivity growth is not a driving force in the industry.

KW - Hotel performance

KW - Efficiency

KW - Productivity

KW - Heterogeneity

KW - Bayesian stochastic frontier

U2 - 10.1016/j.tourman.2018.05.008

DO - 10.1016/j.tourman.2018.05.008

M3 - Journal article

VL - 69

SP - 69

EP - 87

JO - Tourism Management

JF - Tourism Management

SN - 0261-5177

ER -