NDLI: A niche technique to manage innovation projects in ITES

Content Provider	IEEE Xplore Digital Library
Author	Katyayani, J. Pani, V.P.
Copyright Year	2015
Description	Author affiliation: CSC India Private Ltd., Hyderabad, India (Pani, V.P.) \|\| Dept. of Bus. Manage., Sri Padmavathi Vishwa Vidaylayam, Tirupati, India (Katyayani, J.)
Abstract	The paper deals with a non-linear relationship between 3 groups of factors and one dependent variable, namely the success of innovation management of projects. A framework is created using the technique of fuzzy logic using Neural Networks and multi perceptron method. The three groups of 17 factors each are used for business users, management personnel and technical personnel, respectively. Neural Network learning procedure is applied with the help of multi perceptron back-propagating algorithm to minimize the error and a predictive model is built. Cross-validation 80:20 is used. The model shows relatively good properties both in fitting and prediction.
Starting Page	80
Ending Page	86
File Size	255626
Page Count	7
File Format	PDF
e-ISBN	9781467376068
DOI	10.1109/IntelliSys.2015.7361088
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Technological innovation ITS-Information Technology Services NM TP-Normalized Mean for Technical Personnel Personnel NM BU-Normalized Mean for Business Users Information technology ITES-Information Technology Enabled Services Training MLP-Multi-Layer Perceptron NM MP-Normalized Mean for Management Personnel Neural networks Innovation management UK-United Kingdom CMM-Capability Maturity Model NN-Neural Network
Content Type	Text
Resource Type	Article

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