Analysis of the Value Creation Model in Selected Sectors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F18%3A00100804" target="_blank" >RIV/00216224:14560/18:00100804 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of the Value Creation Model in Selected Sectors

Popis výsledku v původním jazyce

The subject of the article is the analysis of the value creation model (hereinafter referred to as the VCM) in selected sectors of the Czech economy, namely in engineering, transport and the food industry. The aim of the article is to determine the stability of the value creation model in selected sectors over time, i.e. whether the model shows the same explanatory power in different years as in the year in which it was created. The research is based on models the authors created for each sector in 2015 and identifies the explanatory power of these models from 2012 to 2014 based on samples of the respective companies. Thanks to the VCM model being developed and tested along with the EVA indicator, the results of the model from other years under review are equally compared with the EVA results. It turns out that the model is stable in the food industry, i.e. it achieves comparable results in the years 2012 - 2014 as in 2015, while in the engineering sector it was necessary to modify the model significantly (similarly in transport). It turns out that it is appropriate to specialize complex indices capable of evaluating the performance of companies not only by industry, i.e. the indices are not universal but also in time, that the indices need not be stable (static), but may need to be dynamized.

Název v anglickém jazyce

Analysis of the Value Creation Model in Selected Sectors

Popis výsledku anglicky

The subject of the article is the analysis of the value creation model (hereinafter referred to as the VCM) in selected sectors of the Czech economy, namely in engineering, transport and the food industry. The aim of the article is to determine the stability of the value creation model in selected sectors over time, i.e. whether the model shows the same explanatory power in different years as in the year in which it was created. The research is based on models the authors created for each sector in 2015 and identifies the explanatory power of these models from 2012 to 2014 based on samples of the respective companies. Thanks to the VCM model being developed and tested along with the EVA indicator, the results of the model from other years under review are equally compared with the EVA results. It turns out that the model is stable in the food industry, i.e. it achieves comparable results in the years 2012 - 2014 as in 2015, while in the engineering sector it was necessary to modify the model significantly (similarly in transport). It turns out that it is appropriate to specialize complex indices capable of evaluating the performance of companies not only by industry, i.e. the indices are not universal but also in time, that the indices need not be stable (static), but may need to be dynamized.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

<a href="/cs/project/GA16-16260S" target="_blank" >GA16-16260S: Přístup managementu k redukci zpětných toků ve vazbě na spokojenost zákazníků a neustálé zlepšování</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

16th International Scientific Conference on Hradec Economic Days

ISBN

9788074357015

ISSN

2464-6059

e-ISSN

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Počet stran výsledku

13

Strana od-do

333-345

Název nakladatele

University of Hradec Králové

Místo vydání

Hradec Králové

Místo konání akce

Hradec Králové

Datum konání akce

30. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000449443600033