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Authors: Ksenija Lace and Marite Kirikova

Affiliation: Riga Technical University, Riga, Latvia

Keyword(s): Mergers & Acquisitions, Knowledge Management.

Abstract: This study focuses on knowledge management role in Mergers & Acquisitions (M&A). With high proportion of M&A failure, it is important to define possible ways to increase M&A success rates. Knowledge acquisition and management is the important part of M&A initiative, as it forms the foundation for M&A decisions. But with M&A high complexity, uncertainty and ambiguity, effectively organized knowledge management of M&A can become a challenge. In this article authors review current research on knowledge management in general and M&A specific knowledge management, identify the levels of M&A knowledge hierarchy, namely – individual M&A initiative scope, M&A initiatives in scope of one company, M&A initiatives in scope of the same industry. For each level success factors and obstacles for the effective knowledge management are defined. As a result, a proposal for M&A knowledge management high level framework is presented, accumulating all knowledge management levels, and defining the knowle dge structure and flow between them. (More)

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Paper citation in several formats:
Lace, K. and Kirikova, M. (2021). Knowledge Management for M&A Performance. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KMIS; ISBN 978-989-758-533-3; ISSN 2184-3228, SciTePress, pages 83-89. DOI: 10.5220/0010640100003064

@conference{kmis21,
author={Ksenija Lace. and Marite Kirikova.},
title={Knowledge Management for M&A Performance},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KMIS},
year={2021},
pages={83-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010640100003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KMIS
TI - Knowledge Management for M&A Performance
SN - 978-989-758-533-3
IS - 2184-3228
AU - Lace, K.
AU - Kirikova, M.
PY - 2021
SP - 83
EP - 89
DO - 10.5220/0010640100003064
PB - SciTePress