D 2017

EXISTING APPROACHES TO BUSINESS EXCELLENCE MODELS

BAUEROVÁ, Radka

Základní údaje

Originální název

EXISTING APPROACHES TO BUSINESS EXCELLENCE MODELS

Autoři

BAUEROVÁ, Radka (203 Česká republika, garant, domácí)

Vydání

Karviná, Proceedings of 10th International Scientific Conference "Karviná Ph.D. Conference on Business and Economics, od s. 1-12, 12 s. 2017

Nakladatel

SU OPF Karviná

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50202 Applied Economics, Econometrics

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Kód RIV

RIV/47813059:19520/17:00010910

Organizační jednotka

Obchodně podnikatelská fakulta v Karviné

ISBN

978-80-7510-265-2

Klíčová slova anglicky

Business Excellence models; EFQM; BE approaches; Quality Management; Performance measurement; Continuous improvement.
Změněno: 7. 2. 2020 10:57, RNDr. Daniel Jakubík

Anotace

V originále

The importance of Business Excellence (BE) models is linked to the ongoing global pressure to increase organisations' performance. BE models are frameworks that help the organisation to take action more systematically and more structurally, thereby increasing its performance. These models are internationally recognised, and they are focusing on all areas of the organisation and the factors driving performance. Among the best-known models are the Malcolm Baldrige National Quality Award (USA) and the European Foundation for Quality Management Model (Europe). The aim of this article is to identify and describe existing approaches used in Business Excellence models. The critical research is based on the acquired knowledge from selected respected articles in scientific journals by using the Web of Science database. CitNetExplorer citation software is used to display the resulting relationships of individual articles and the most important authors in this area. The contribution of this article is the systematisation of the existing foreign approaches used in BE models.
Zobrazeno: 29. 11. 2024 17:06