For three decades, research has investigated the role of information systems integration (ISI) in mergers and acquisitions (M&As). This research has improved our understanding of the M&A IS challenges and their solutions. However, consolidation and integration across the research is limited. To redress this omission, we review 70 articles published between 1989 and 2016. To do this, we adopt and extend the methodology developed by Lacity and her colleagues to review the empirical evidence in a fragmented IT literature. We code 53 dependent variables and 195 independent variables to identify the robust relationships among them and to model how ISI decisions, including the choice of IS integration methods, partially mediate the effects of the independent variables on ISI outcomes. Examining the relationships in this model, we identify five quasi-independent thematic domains on which we draw to develop an agenda for future research. Our contribution is the aggregation, organization and structuring of the empirical findings in the M&A ISI literature as a basis on which to develop a cumulative knowledge process.

中文翻译：

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并购中信息系统集成述评

三十年来，研究一直在调查信息系统集成 (ISI) 在并购 (M&A) 中的作用。这项研究提高了我们对并购 IS 挑战及其解决方案的理解。然而，整个研究的整合和整合是有限的。为了弥补这一遗漏，我们审查了 1989 年至 2016 年间发表的 70 篇文章。为此，我们采用并扩展了 Lacity 及其同事开发的方法，以审查碎片化 IT 文献中的经验证据。我们对 53 个因变量和 195 个自变量进行编码，以确定它们之间的稳健关系，并对 ISI 决策（包括 IS 整合方法的选择）如何部分调节自变量对 ISI 结果的影响进行建模。检查这个模型中的关系，我们确定了五个准独立的主题领域，我们利用这些领域制定未来研究的议程。我们的贡献是对并购 ISI 文献中的实证结果进行汇总、组织和构建，以此作为开发累积知识过程的基础。