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Effective Change Management in Modern Enterprises
Linnaeus University, Faculty of Technology, Department of Informatics.
2015 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Modern enterprises are constantly under change in the effort to enhance their internal operations and become more competitive in the market. A change process is always a challenge, and its success needs to consider multi-angled approaches, as it affects all involved stakeholders. The way changes are tack- led is fundamental to the success and survivability of an enterprise. Change is interwoven with risks, and therefore it has to be effectively managed in order to be successful.

This work presents an effort to identify the key factors that should be con- sidered in order to lead to effective change management in modern enter- prises, and quantify their relationship to it. The theoretical investigation re- veals that key factors often considered, both in theory and in practical change management strategies, include Employee, Leadership, Training & Develop- ment, Reward & Recognition, Culture, Politics, Information Systems. Driven by these findings, a model is proposed that depicts their correlation towards effective change management. Subsequently, a survey is conducted, and sta- tistical analysis is performed to the empirical data collected, in order to eval- uate the proposed model and its hypotheses. The empirical results indicate that all selected key factors, contribute towards achieving effective change management as hypothesized.

The results of this work, may benefit enterprise managers planning, exe- cuting and assessing change processes, as proper considerations of the factors discussed throughout this work may increase the chances of the change pro- cess success, resulting in a better performing and competitive enterprise. 

Place, publisher, year, edition, pages
2015. , 91 p.
Keyword [en]
Change Management, Change Factors, Modern Enterprises, Structural Equation Model, Quantitative Positive Research
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:lnu:diva-49777OAI: diva2:903428
Subject / course
Educational program
Master Programme in Information Systems, 60 credits
Available from: 2016-02-16 Created: 2016-02-15 Last updated: 2016-02-16Bibliographically approved

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Karnouskos, Stamatis
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