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Trajectories and antecedents of integration in mergers and acquisitions: A comparison of two longitudinal studies

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journal contribution
posted on 29.11.2017 by Martin R. Edwards, Jukka Lipponen, Tony Edwards, Marko Hakonen
Despite existing research examining snapshots of employee reactions to organizational mergers and acquisitions (M & A), there is a complete absence of work theorizing or exploring rates of change in employees’ organizational identification with the merged entity. We address this gap using two three-wave longitudinal panel samples from different M & A settings, tracking change in identification through a two-year period. Theorizing trajectories of change in identification across the organizations in both settings, we make predictions linked to expected antecedents of change in identification. Our research context (M & A-1) involves a merger of three Finish universities tracking 938 employees from each organization in three waves (nine months pre-merger to 24 months post-merger). Our second context (M & A-2) involves a multinational acquisition tracking 346 employees from both the acquired and acquiring organization in three waves (from two to 26 months post-acquisition). Using Latent Growth Modelling, we confirm predicted trajectories of change in identification. Across both samples, a linear increase (across Time 1, Time 2 and Time 3) in justice and linear decrease in threat perceptions were found to significantly predict a linear increase in identification across the post-M & A period. We discuss organizational identification development trajectories and how changes in these two antecedents account for changes in identification across M & A contexts.

History

School

  • Loughborough University London

Published in

Human Relations

Volume

70

Issue

10

Pages

1258 - 1290

Citation

EDWARDS, M.R. ... et al, 2017. Trajectories and antecedents of integration in mergers and acquisitions: A comparison of two longitudinal studies. Human Relations, 70 (10), pp. 1258-1290.

Publisher

SAGE © The Author(s)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2017-03-17

Notes

Copyright © 2017 (The Authors). Reprinted by permission of SAGE Publications.

ISSN

0018-7267

eISSN

1741-282X

Language

en

Exports