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

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.