Does IT Matter to Acquisitions? The Impacts of IT Distance on Post-Acquisition Performance

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Publication History

Received: December 24, 2018
Revised: May 6, 2020; March 1, 2021; January 15, 2022
Accepted: March 8, 2022
Published online as Articles in Advance: November 23, 2022
Published in Issue: Forthcoming

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Although researchers have examined the role of dyadic dynamics (i.e., interactions between the acquirer and the target firm) in the success of acquisitions, little attention has been devoted to the role of information technology (IT). In this study, we extend this literature by examining how pre-acquisition IT distance (i.e., the difference between the enterprise IT systems of the two firms that reflects the system incompatibility and resulting costs of system integration) affects the acquirer’s post-acquisition performance. To measure IT distance, we used a word-embedding technique to map each firm’s IT systems portfolio to a low-dimensional embedding space and calculate the distance between the firms in that space. Using data on U.S. firms’ acquisition activities over seven years, we found that IT distance is negatively associated with the acquirer’s post-acquisition performance. Also, the adverse effect of IT distance is stronger for acquisitions motivated by operational synergies, compared to those seeking non-operational synergies. This finding supports our fundamental premise that IT distance disrupts post-acquisition synergy creation, and more so when the combined firm has a greater need for tight integration to create acquisition synergies. This research contributes to the merger and acquisition (M&A) literature in management and IS by introducing a novel concept of IT distance and by theorizing and empirically examining its performance implications in acquisitions. The findings of this study can inform practitioners on how to devise IT strategies in corporate acquisitions to mitigate IT risks and achieve greater post-acquisition performance.

Additional Details
Author Kyunghee Lee, Kunsoo Han, Animesh Animesh, and Alain Pinsonneault
Year 2022
Volume 46
Issue 4
Keywords IT distance, incompatibility of IT systems, corporate acquisitions, post-acquisition operating performance, natural language processing, word embedding, Word2Vec, Bayesian model averaging
Page Numbers 2261-2288
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