软件部署
资源(消歧)
业务
基于资源的视图
并购
产业组织
价值(数学)
价值创造
选择(遗传算法)
营销
水平和垂直
计算机科学
竞争优势
财务
地理
人工智能
机器学习
操作系统
计算机网络
大地测量学
作者
Arkadiy V. Sakhartov,Jeffrey J. Reuer
标识
DOI:10.1016/j.lrp.2022.102287
摘要
Resource redeployment between merging firms is an important way in which corporate acquisitions create value. Such redeployment can occur in horizontal deals when the acquirer and the target are from the same industry, or in non-horizontal deals when the acquirer and the target come from different industries. Although existing research focuses on the former scenario of resource deployment in horizontal acquisitions, resource deployment as a potential source of value in non-horizontal acquisitions has been understudied. This study uses a formal model to develop a theory of resource redeployment that both embraces and contrasts both types of acquisitions to offer new insights. The study concludes that the focus on horizontal acquisitions misses M&A contexts in which resource redeployment can create the highest value. Results from the model also demonstrate that acquisition performance has an inverse U-shaped relationship with relatedness between the merging firms. Finally, the effect of relatedness critically depends on the asymmetry in returns between the merging firms. These results are important for future empirical studies of acquisition performance and of target selection and are instructive to corporate managers seeking targets and managing potential redeployment of resources across organizations via M&A.
科研通智能强力驱动
Strongly Powered by AbleSci AI