Evaluation of efficiency and ranking of Indian hotels and restaurants: a bootstrap DEA approach.
In: Benchmarking: An International Journal, Jg. 31 (2024), Heft 1, S. 186-198
academicJournal
Zugriff:
Purpose: The main purpose of this paper is to determine the bias-corrected efficiencies and rankings of the selected hotels and restaurants (H&Rs) in India. Design/methodology/approach: The data for the Indian H&R sector are collected from the Prowess database. The bootstrap data envelopment analysis (DEA) based on a constant return to scale (CRS), variable return to scale-input oriented (VRS-IP) and variable return to scale-output oriented (VRS-OP) are applied on H&Rs to obtain the bias-corrected efficiencies. Findings: It is found that relative efficiencies using basic DEA methods of all the 45 H&Rs of India are overestimated. These efficiencies are corrected using bias correction through bootstrap DEA methods. The bounds for the efficiencies of each H&R are computed using all the adopted methods. All H&Rs are ranked using bias-corrected efficiencies, and the linear trend between ranks suggests that the H&Rs are ranked almost similarly by all the adopted methods. Practical implications: To improve efficiency, Indian H&R companies must rethink their personnel needs by enhancing their workforce management capabilities. The government needs to extend more support to this sector by introducing a liberal legislation framework and supporting infrastructure policies. Originality/value: There is a paucity of studies on H&Rs in India. The current study focused on measuring bias-corrected efficiencies of the selected H&Rs of India. This study is one of the few initiatives to explore bias-corrected efficiencies extensively using the bootstrap DEA method. [ABSTRACT FROM AUTHOR]
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Titel: |
Evaluation of efficiency and ranking of Indian hotels and restaurants: a bootstrap DEA approach.
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Autor/in / Beteiligte Person: | Mahajan, Varun ; Mogha, Sandeep Kumar ; Pannala, R.K.Pavan Kumar |
Zeitschrift: | Benchmarking: An International Journal, Jg. 31 (2024), Heft 1, S. 186-198 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 1463-5771 (print) |
DOI: | 10.1108/BIJ-07-2021-0443 |
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