Investigation of Various Prediction Models of Demand on the Market of Innovations

Elena Anatol’evna Derunova, Irina Nikolayevna Filatova, Alexandr Sergeevich Semenov and Vladimir Alexandrovich Derunov
Additional contact information
Elena Anatol’evna Derunova: Russian Presidential Academy of National Economy and Public Administration, Russian Federation, 119571,
Irina Nikolayevna Filatova: Saratov State University, Russian Federation, 410012,
Alexandr Sergeevich Semenov: Peoples’ Friendship University of Russia, Russian Federation, 117198,
Vladimir Alexandrovich Derunov: Russian Presidential Academy of National Economy and Public Administration, Russian Federation, 119571.

International Review of Management and Marketing, 2017, vol. 7, issue 1, 112-118

Abstract: The formation of demand forecasting models is important in understanding the transition from the raw to the innovative model of the economy. The aim of the study is to analyze and evaluate the different innovation demand forecasting models and the mathematical substantiation of the directions of their development. On the basis of the Bass model, we explore forecasting the spread of innovative products with the addition of such factors as prices, advertising, and market potential for the purpose of application of applied models in assessing the demand for high-tech products at the market launch of innovative products. Mathematical justification of the problem of demand for high-tech products presented in the context of the theory of diffusion of innovation and developed technique in forecasting of high-tech products sales, which allows in calculating the number of purchases to a specific point in time. Amodel for innovation demand prediction by logistic regression, which can improve the classification of consumer preferences of high-tech products.

Keywords: Innovation; Sales Forecast; Marketing High-tech Products; Consumer Behavior; Economic Growth (search for similar items in EconPapers)
JEL-codes: O O3 Q55 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.econjournals.com/index.php/irmm/article/download/3296/pdf (application/pdf)
http://www.econjournals.com/index.php/irmm/article/view/3296/pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eco:journ3:2017-01-15

Access Statistics for this article

International Review of Management and Marketing is currently edited by Ilhan Ozturk

More articles in International Review of Management and Marketing from Econjournals
Bibliographic data for series maintained by Ilhan Ozturk ().