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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&apos;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&apos;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