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A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research

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  • Assaf, A. George
  • Tsionas, Mike G.

Abstract

This paper presents a review of performance modeling in tourism research, with special focus on frontier models. We discuss the current status of the literature, identify the gaps, and highlight directions for future improvements across both parametric and non-parametric methodologies. More specifically, we elaborate on key methodological issues including endogeneity, bad outputs, dynamic formulations, heterogeneity, Bayesian estimation, bootstrapping, and stochastic DEA. For each of these areas we discuss and introduce some recent methodological breakthroughs that have been largely ignored in the tourism literature.

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  • Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    • Handle: RePEc:eee:anture:v:76:y:2019:i:c:p:266-277
    DOI: 10.1016/j.annals.2019.04.010
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    1. Wu, Yueh-Cheng & Lin, Sheng-Wei, 2022. "Efficiency evaluation of Asia's cultural tourism using a dynamic DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
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    3. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
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    6. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).
    7. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.

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