Implementation of IT Project Management Control and Achieving the Control Objectives using Hybrid Extended Methodology
Author(s) -
Anirudh Arunan,
Krishan Kumar,
R. Manjula
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016912266
Subject(s) - computer science , control (management) , engineering management , earned value management , project management , operations research , process management , systems engineering , project planning , artificial intelligence , opm3 , engineering , business
This paper looks into the various aspects and components of project management control with a view to identify a new methodology using a hybrid model to achieve control objectives. Classical approaches to project management control are explored. The best known methods of Project management are Water fall 3 and Scrum methods 3. However in a real world scenario, neither of these methodologies may be the best fit. Hence with the help of empirical project data an attempt is made to analyze options and see how effective is a hybrid model in achieving optimal control.
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