Use of statistical methods for estimating the need for temporary staff

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43909203" target="_blank" >RIV/62156489:43110/16:43909203 - isvavai.cz</a>

Result on the web

<a href="https://frcatel.fri.uniza.sk/hrme/files/2016/2016_1_09.pdf" target="_blank" >https://frcatel.fri.uniza.sk/hrme/files/2016/2016_1_09.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Use of statistical methods for estimating the need for temporary staff

Original language description

This paper examines the suitability of quantitative statistical methods and their application in human resources planning in the sugar industry. Expert managerial estimates tend to be applied when defining the number of needed employees in many manufacturing (food-processing) businesses. At the same time, statistical methods are underused due to their time-, processing-and information-demanding nature. This paper predicts the future need of temporary workers in the company Moravskoslezské cukrovary, a.s. It applies statistical methods of graphic analysis, trend analysis and regression analysis for the aforementioned company between the years of 1988 to 2015. Yearly company reports from 1993 to 2015 were used as the data source for the prediction of needed workers for Moravskoslezské cukrovary, a.s. Other significant data was extracted from the personal information system of the company (years from 1988 to 1993). The company's five-year plan for sugar beet processing was applied to find out the planned amount of future quantity. The 5 % level of significance was chosen in order to test hypotheses through regression analysis. The statistical program Gretl was applied to run the regression analysis, test statistical assumptions and determine predictions. The results are compared and their pros and cons are demonstrated at the end of this paper.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AE - Management, administration and clerical work

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Human Resources Management and Ergonomics

ISSN

1337-0871

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

15

Pages from-to

110-124

UT code for WoS article

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EID of the result in the Scopus database

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