Knowledge Management for M&A Performance
Ksenija Lace, Marite Kirikova
2021
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 knowledge structure and flow between them.
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in Harvard Style
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) - Volume 3: KMIS; ISBN 978-989-758-533-3, SciTePress, pages 83-89. DOI: 10.5220/0010640100003064
in Bibtex Style
@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) - Volume 3: KMIS},
year={2021},
pages={83-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010640100003064},
isbn={978-989-758-533-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 3: KMIS
TI - Knowledge Management for M&A Performance
SN - 978-989-758-533-3
AU - Lace K.
AU - Kirikova M.
PY - 2021
SP - 83
EP - 89
DO - 10.5220/0010640100003064
PB - SciTePress