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Categorical data analysis from Lean Company research

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F14%3A%230002646" target="_blank" >RIV/47813059:19520/14:#0002646 - isvavai.cz</a>

  • Result on the web

    <a href="http://mme2014.upol.cz/conference-proceedings" target="_blank" >http://mme2014.upol.cz/conference-proceedings</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Categorical data analysis from Lean Company research

  • Original language description

    This article deals with dependencies among variables in data obtained from a questionnaire survey which focused on the issue of lean manufacturing and lean logistics. The main hypothesis of this paper is that the implementation of lean manufacturing andlean logistics in selected companies is dependent on the size of a company. Attention will be paid to the question of whether the implementation of lean manufacturing and lean logistics depends on the branch of industry such as en-gineering, electrotechnical industry or chemical industry. Source data were obtained using a questionnaire survey of manufacturing companies in the Czech Republic. The data are divided into four categories by the size of company: a micro company, a small company, a medium company and a large enterprise. Specialized statistical software IBM SPSS Statistics is used for the analysis of categorical data. There will be analyzed selected forms of dependencies based on data from Lean Company re-search.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    32nd International Conference on Mathematical Methods in Economics

  • ISBN

    978-80-244-4209-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    162-167

  • Publisher name

    Přírodovědecká fakulta Univerzity Palackého v Olomouci

  • Place of publication

    Olomouc

  • Event location

    Olomouc

  • Event date

    Sep 10, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article