Title: Statistical software pricing analysis through artificial intelligence and statistical methods

Authors: Ajay K. Aggarwal, Dinesh S. Dave

Addresses: Else School of Management, Millsaps College, Jackson, Mississippi 39210, USA. ' Department of Computer Information Systems, John A Walker College of Business, Appalachian State University, Boone, North Carolina 28608, USA

Abstract: Companies and researchers around the world are interested in analysing prices of computer systems. Computer hardware prices have been studied at length, with several authors developing models to predict computer prices based upon specific hardware elements. However, relatively few studies have been conducted to analyse software prices. Some reasons for this could be scarcity of data, complexity of available data, and the need for sophisticated analysis methodology. This paper is an attempt to analyse the software prices using statistical and Artificial Intelligence (AI) approaches using 39 software attributes. The study uses 2005 Statistical Software Survey data published in ORMS Today.

Keywords: statistical software survey; software pricing; artificial intelligence; neural networks; statistics; computer hardware; ICT; information technology; communications technology; information management.

DOI: 10.1504/IJITM.2010.030457

International Journal of Information Technology and Management, 2010 Vol.9 No.2, pp.132 - 141

Published online: 17 Dec 2009 *

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