REMONA Model for Improving Quality of Corporate Informatics Performance Management: How to Cut Cots in Corporate Informatics

Milos Maryska, Petr Doucek

Abstract

Purpose: This paper studies the introduction or increasing of the ability to manage performance in an organization environment. The paper’s objective is to facilitate the solution of this problem. Its main goal, meanwhile, is to present the REMONA model and the results of its implementation and to spark professional discussion of the concept behind it.

Methodology/Approach: A model will be created to demonstrate the use of the created artifacts within two sub-areas in the environment of two international companies (a consulting firm and an automotive firm) while using the proposed methodology. The model and the methodology will be evaluated for their creation in an organization environment and communication in the entire area.

Findings: Pilot implementation was performed at two companies. It was proven that the proposed REMONA model makes it easier to process and analyze certain financial tasks that are presently considered crucial. The implementation of REMONA model will mainly find use in service or manufacturing companies.

Research Limitation/implication: The REMONA model has only been tested and verified in IT services within service-oriented companies and the automotive industry.

Originality/Value of paper: The paper is valuable for IT managers, and especially CIOs – Chief Information Officers – and project managers. They can find here inspiration for cost allocation, planning, and profitability management in IT services. The article also briefly presents practical experiences with the model’s implementation at two international corporations.

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Authors

Milos Maryska
Petr Doucek
doucek@vse.cz (Primary Contact)
Maryska, M., & Doucek, P. (2017). REMONA Model for Improving Quality of Corporate Informatics Performance Management: How to Cut Cots in Corporate Informatics. Quality Innovation Prosperity, 21(3), 15–35. https://doi.org/10.12776/qip.v21i3.939
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