Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F14%3APU109627" target="_blank" >RIV/00216305:26510/14:PU109627 - 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

Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply

Popis výsledku v původním jazyce

The article focuses on the prediction of apple sales of selected company by linear regression and subsequently by using neural networks. The authors find that one of the most important influences on this commodity affects self-sufficiency, which is a major source of anomaly in the market with apples, which manifests itself in 6 months, when the rising price increases and quantity sold, the price increase in the reporting period for10 consecutive years was as the same as a inflation. Prediction of applesales in the period from June to November may be based on a neuron network with benefit, without the necessity of identifying further factors affecting the demand. In the remaining months an accurate prediction with the help of a neuron network will require the identification of factors affecting purchasing behaviour of the consumers. Created prediction model and the methodology of creation of this model could be used (under specific condition) for prediction of sales for other food comm

Název v anglickém jazyce

Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply

Popis výsledku anglicky

The article focuses on the prediction of apple sales of selected company by linear regression and subsequently by using neural networks. The authors find that one of the most important influences on this commodity affects self-sufficiency, which is a major source of anomaly in the market with apples, which manifests itself in 6 months, when the rising price increases and quantity sold, the price increase in the reporting period for10 consecutive years was as the same as a inflation. Prediction of applesales in the period from June to November may be based on a neuron network with benefit, without the necessity of identifying further factors affecting the demand. In the remaining months an accurate prediction with the help of a neuron network will require the identification of factors affecting purchasing behaviour of the consumers. Created prediction model and the methodology of creation of this model could be used (under specific condition) for prediction of sales for other food comm

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of The 23nd International Business Information Management Association Conference

ISBN

978-0-9860419-2-1

ISSN

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e-ISSN

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Počet stran výsledku

14

Strana od-do

1842-1855

Název nakladatele

International Business Information Management Association (IBIMA)

Místo vydání

Valencia

Místo konání akce

Valencia

Datum konání akce

13. 5. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000339308100188