Super efficiency and sensitivity analysis of the Indian hotels and restaurants

Neha Sharma () and Sandeep Kumar Mogha ()
Additional contact information
Neha Sharma: Chandigarh University
Sandeep Kumar Mogha: Chandigarh University

OPSEARCH, 2024, vol. 61, issue 4, No 17, 2157 pages

Abstract: Abstract Over the course of COVID-19, the global growth of the hospitality and restaurant (H&Rs) sector has been declined. “Indian H&R industry has also faced the same consequences of covid-19 To emerge from this situation, industry need to employ fresh approaches to capture the untapped potential and get past the obstacles As the resources are scare so one needs to utilize these in proper manner and for this, one of the difficulties is to be figuring out how to evaluate H&Rs' efficiency using different factors and highlight the areas where improvement is required In this study performance evaluation has been done for the 45 Large scale Indian H&R businesses by applying the Data Envelopment Analysis (DEA) methodology As basic DEA models calculate radial efficiency only, they do not demonstrate the improvement in capabilities of different DMUs This paper examines the efficiency of 45 large-scale Indian H&Rs using the New Slack Model (NSM) of DEA The NSM model directly deals with the input and output slacks This study is based on data collected from Centre for Monitoring Indian Economy’s Prowess database A study found that only 65.58% of H&Rs are technically efficient. This indicates that some of the resources are underutilized, and therefore a significant amount of improvement is possible Using sensitivity analysis, the super efficiency is also tested in order to determine whether the results are stable.

Keywords: Efficiency; Data envelopment analysis; Hotel and restaurants; CRS; Super-efficiency (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12597-024-00781-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opsear:v:61:y:2024:i:4:d:10.1007_s12597-024-00781-1

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-024-00781-1

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().