Pregled bibliografske jedinice broj: 1084492
Evaluating Business Performance Using Data Envelopment Analysis and Grey Relational Analysis
Evaluating Business Performance Using Data Envelopment Analysis and Grey Relational Analysis // Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics / Patil, Bhushan ; Vohra, Manisha (ur.).
Hershey (PA): IGI Global, 2021. str. 115-148 doi:10.4018/978-1-7998-3053-5.ch007
CROSBI ID: 1084492 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evaluating Business Performance Using Data Envelopment Analysis
and Grey Relational Analysis
(Evaluating Business Performance Using Data Envelopment
Analysis and Grey Relational Analysis)
Autori
Škrinjarić, Tihana ; Šego, Boško
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
Urednik/ci
Patil, Bhushan ; Vohra, Manisha
Izdavač
IGI Global
Grad
Hershey (PA)
Godina
2021
Raspon stranica
115-148
ISBN
9781799830542
Ključne riječi
DEA ; performance gauging, business performance ; Grey analysis
Sažetak
Financial ratios are used in a variety of ways today. Empirical research is getting bigger, with a special focus on predicting business failure, the strength of a company, investment decision making, etc. This chapter focuses on two methodologies suitable to deal with many data to evaluate business performance. They are data envelopment analysis and grey relational analysis. The empirical part of the chapter conducts an empirical analysis with the aforementioned two approaches. Firms are ranked based on their performances and detailed interpretations are obtained so that managers within businesses can get useful information on how to utilize such an approach to modelling. This study implicates that using the two mentioned approaches can be useful when making investment decisions based on many data available for the decision maker. This is due to the methodology being suitable to handle big data and correctly quantifying the overall financial performance of a company.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb