Measuring Managerial Ability in the Hotel Industry

Mike G. Tsionas; A. George Assaf; Florian Kock

doi:10.1016/j.ijhm.2022.103223

Measuring Managerial Ability in the Hotel Industry

Mike G. Tsionas^*
, A. George Assaf^*
, Florian Kock^*

^*Corresponding author for this work

Department of Marketing

Montpellier Business School
Lancaster University Management School
The Isenberg School of Management, University of Massachusetts Amherst

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

This note develops and implements a novel model to estimate managerial ability for different hotels over time. Our model is a dynamic Multiple Indicator Multiple Causes (MIMIC) model. We use Bayesian techniques organized around Markov Chain Monte Carlo and we perform detailed posterior sensitivity with respect to the prior. We propose estimating managerial ability using accounting data only, hence facilitating more studies and hypothesis testing in this area.

Original language	English
Article number	103223
Journal	International Journal of Hospitality Management
Volume	103
Number of pages	6
ISSN	0278-4319
DOIs	https://doi.org/10.1016/j.ijhm.2022.103223
Publication status	Published - May 2022

Bibliographical note

Epub ahead of print. Published online: 23 April 2022.

Access to Document

10.1016/j.ijhm.2022.103223Licence: Unspecified

https://www.research.lancs.ac.uk/portal/services/downloadRegister/356727287/paperIJHMrevised_AutoRecovered_1_FK_002_.pdfLicence: CC BY-NC-ND

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Cite this

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title = "Measuring Managerial Ability in the Hotel Industry",

abstract = "This note develops and implements a novel model to estimate managerial ability for different hotels over time. Our model is a dynamic Multiple Indicator Multiple Causes (MIMIC) model. We use Bayesian techniques organized around Markov Chain Monte Carlo and we perform detailed posterior sensitivity with respect to the prior. We propose estimating managerial ability using accounting data only, hence facilitating more studies and hypothesis testing in this area.",

author = "Tsionas, \{Mike G.\} and Assaf, \{A. George\} and Florian Kock",

note = "Epub ahead of print. Published online: 23 April 2022.",

year = "2022",

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AU - Assaf, A. George

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AB - This note develops and implements a novel model to estimate managerial ability for different hotels over time. Our model is a dynamic Multiple Indicator Multiple Causes (MIMIC) model. We use Bayesian techniques organized around Markov Chain Monte Carlo and we perform detailed posterior sensitivity with respect to the prior. We propose estimating managerial ability using accounting data only, hence facilitating more studies and hypothesis testing in this area.

U2 - 10.1016/j.ijhm.2022.103223

DO - 10.1016/j.ijhm.2022.103223

M3 - Journal article

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