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Journal of Statistics and Management Systems

(Since 1998)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510
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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Journal of Statistics and Management Systems
Open Access Research Article

Ranking the Indian real estate firms in pre & post demonetization periods using hybridized data envelopment analysis

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pp. 1687–1696Vol. 26Issue 7October 2023DOI: 10.47974/JSMS-1134XML
Published Online:
27 Nov 2023
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1134
Pages:
1687–1696

Abstract

Purpose – the purpose of the study is to analyze administrative personal expenses (APE), manufacturing-selling expenses (MSE), earnings before depreciation interest taxes amortization (EBDITA), and sales turnover (ST) to identify the most efficient real estate company.  Research methodology – the study has been conducted on the available secondary data with a sample of eight Indian real estate companies as decision-making units (DMUs). The study is carried out using data envelopment analysis (DEA) clubbed with Shannon’s entropy and is termed a hybridized DEA method.  Findings – the study reveals that the sequential ranking of DMUs is obtained using hybridized DEA method. Using hybridized DEA method, it is found that after the demonetization the DMUs performance is aligned in an organized pattern and almost similar in pre-and-post demonetization under hybridized input-oriented variable return to scale method.  Research limitations – the study is based on available secondary data considering eight DMUs. It may be overcome through thorough on-sight qualitative and quantitative study to include more datasets.  Originality/Value – efficiency of real estate companies is analyzed using DEA clubbed with Shannon’s entropy and it is further utilized to rank all DMUs. 

Keywords

Data envelopment analysisShannon’s entropyRanking of DMUsReal estate firmsEfficiency

Subject Classifications

90B5090C3290C90

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