Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predictions of Sales of a Selected Agriculture Commodity with Consideration of Effects of Self-Sufficiency in Supply
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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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
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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Number of pages
14
Pages from-to
1842-1855
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Valencia
Event location
Valencia
Event date
May 13, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000339308100188