Supporting Information System Integration Decisions in the Post-Merger Context

Ksenija Lāce
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Abstract

Consolidation of organizations and assets through Mergers and Acquisitions (M&A) is one of the strategies for organizational growth. However, despite the big popularity, the results of M&A initiatives are questionable. The main idea behind M&A is to create a new organization by combining several existing organizations. This new organization is created through a transformation process often called a post-merger. A significant part of the post-merger process is the integration of information systems. The success of post-merger information systems integration is the result of successful integration decisions. This study focuses on the problem of how a novice organization in post-merger initiatives can handle complexity in the decision-making process of post-merger information systems integration with its internal resources, without involvement of an external expertise, but with a support method to compensate the lack of expertise for informed decision-making. The extended decision-making process can be divided into three phases – identification of necessary decisions, decision-making, and decision implementation. This study focuses on the first two phases. For each of the phases, a specialized sub-method was developed, focused, respectively, on the identification of necessary decisions (AMILI) and decision-making as a choice between possible integration options (AMILP). Supporting tools were also developed for each of the sub-methods.
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并购后背景下支持信息系统集成决策
通过并购(M&A)来整合组织和资产是组织成长的策略之一。然而,尽管并购活动非常受欢迎,但其结果却令人质疑。并购背后的主要思想是通过合并几个现有的组织来创建一个新的组织。这个新组织是通过通常称为合并后的转换过程创建的。合并后过程的一个重要部分是信息系统的整合。并购后信息系统集成的成功是成功的集成决策的结果。本研究的重点是,在没有外部专业知识参与的情况下,新组织如何利用内部资源处理合并后信息系统集成决策过程中的复杂性,并利用一种支持方法来弥补专业知识的缺乏,从而进行明智的决策。扩展的决策过程可分为三个阶段——确定必要的决策、决策和决策实施。本研究主要关注前两个阶段。对于每个阶段,开发了一个专门的子方法,分别侧重于必要决策的识别(AMILI)和作为可能集成选项之间的选择的决策(AMILP)。还为每个子方法开发了支持工具。
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