EVA AND KEY PERFORMANCE INDICATORS: THE CASE OF AUTOMOTIVE SECTOR IN PRECRISIS, CRISIS AND POST-CRISIS PERIODS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F18%3A63521082" target="_blank" >RIV/70883521:28120/18:63521082 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.14254/2071-789X.2018/11-3/5" target="_blank" >http://dx.doi.org/10.14254/2071-789X.2018/11-3/5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14254/2071-789X.2018/11-3/5" target="_blank" >10.14254/2071-789X.2018/11-3/5</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
EVA AND KEY PERFORMANCE INDICATORS: THE CASE OF AUTOMOTIVE SECTOR IN PRECRISIS, CRISIS AND POST-CRISIS PERIODS
Popis výsledku v původním jazyce
The choice of a suitable measure for company's performance and identification of key performance indicators are among the most frequently discussed topics in the field of corporate management strategizing. This paper shows how the value-based measure represented by Economic Value Added (EVA) and its pyramidal breakdown could act as facilitators in revealing value drivers. The univariate sensitivity analysis and the Stochastic Frontier Analysis are employed to identify the key performance indicators. The analysis is based on the samples of original equipment manufacturers and suppliers in Czech automotive sector. The automotive industry, in general, is sensitive to the business cycle. Therefore, KPIs of the multiple EVA/Sales distinguished for the samples in the Precrisis, Crisis and Post-crisis periods are identified. The detailed sensitivity analysis reveals several differences in these periods in both samples and across companies of different sizes. Some of the results are further confirmed by the Stochastic Frontier Analysis. Besides other indicators, value added is demonstrated as the key driver with the highest positive impact and personnel cost with the highest negative impact on EVA in all periods although the magnitude of these effects is changing. Analysis of the technical efficiency scores reveals that companies in the crisis periods are more similar to each other and are closer to the best-performing companies than in other periods.
Název v anglickém jazyce
EVA AND KEY PERFORMANCE INDICATORS: THE CASE OF AUTOMOTIVE SECTOR IN PRECRISIS, CRISIS AND POST-CRISIS PERIODS
Popis výsledku anglicky
The choice of a suitable measure for company's performance and identification of key performance indicators are among the most frequently discussed topics in the field of corporate management strategizing. This paper shows how the value-based measure represented by Economic Value Added (EVA) and its pyramidal breakdown could act as facilitators in revealing value drivers. The univariate sensitivity analysis and the Stochastic Frontier Analysis are employed to identify the key performance indicators. The analysis is based on the samples of original equipment manufacturers and suppliers in Czech automotive sector. The automotive industry, in general, is sensitive to the business cycle. Therefore, KPIs of the multiple EVA/Sales distinguished for the samples in the Precrisis, Crisis and Post-crisis periods are identified. The detailed sensitivity analysis reveals several differences in these periods in both samples and across companies of different sizes. Some of the results are further confirmed by the Stochastic Frontier Analysis. Besides other indicators, value added is demonstrated as the key driver with the highest positive impact and personnel cost with the highest negative impact on EVA in all periods although the magnitude of these effects is changing. Analysis of the technical efficiency scores reveals that companies in the crisis periods are more similar to each other and are closer to the best-performing companies than in other periods.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
<a href="/cs/project/GA16-25536S" target="_blank" >GA16-25536S: Metodika tvorby modelu predikce sektorové a podnikové výkonnosti v makroekonomických souvislostech</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Economics and Sociology
ISSN
2071-789X
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
UA - Ukrajina
Počet stran výsledku
18
Strana od-do
78-95
Kód UT WoS článku
000445942400005
EID výsledku v databázi Scopus
2-s2.0-85054503512