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Cited by 373

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

An exploratory study of strategic acquisition factors relating to performance

Kusewitt, John B.·1985·Strategic Management Journal

Abstract

This study investigated the relationship of seven common factors of acquisition strategy to the long run financial performance of acquiring firms: relative size, acquisition rate, industry commonality, timing, type of consideration, acquiree profitability and price paid. The factors were analysed individually and in concert using a database of 138 active acquiring firms which had accomplished some 3500 acquisitions during the 1967‐1976 study time period. All factors except price paid were found to be individually significantly statistically related to the performance measures. Also, these factors together accounted for most of the post‐merger financial performance which can be attributed to the acquisition programme. These results indicate that six key acquisition variables, on the average, largely determine the success of acquisition strategy. Therefore, by means of those variables, guidelines are provided that should improve the effectiveness of an acquisition programme.

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Metadata

Authors
Kusewitt, J. B.
Venue
Strategic Management Journal
Publisher
Wiley
Published
1985-04
Volume
6
Issue
2
Pages
151-169
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2111153355
Cited by
373
References
8
FWCI
18.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An exploratory study of strategic acquisition factors relating to performance. https://app.cochat.ai/papers/10.1002/smj.4250060205
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Kusewitt, J. B. (1985). An exploratory study of strategic acquisition factors relating to performance. Strategic Management Journal. https://doi.org/10.1002/smj.4250060205

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.