Insights from a Review of the Literature on Post-Merger Information Systems/Information Technology Integration

Vieru, Dragos; Rivard, Suzanne; Dutot, Vincent

doi:10.5539/ibr.v7n7p23

Cited by 6 publications

(3 citation statements)

References 63 publications

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“…In scientific research, more and more attention is paid to the importance of the IS integration [18]. There are reviews of existing related research results [19]- [21], and conceptual models have been developed [11].…”

Section: State Of the Artmentioning

confidence: 99%

Supporting Information System Integration Decisions in the Post-Merger Context

Lāce

2023

CSIMQ

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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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Section: State Of the Artmentioning

confidence: 99%

Supporting Information System Integration Decisions in the Post-Merger Context

Lāce

2023

CSIMQ

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“…Studying IS integration is fragmented and usually focuses only on one component of integration. Some organizations even decide to skip IS integrating altogether during mergers, often because the technological perspective is overlooked [11]. Top IT management concerns include business-IT alignment, enterprise architecture, and change management, among others [2].…”

Section: Information Systems Integrationmentioning

confidence: 99%

“…Organizations rely on integration to grow, whether through acquisitions and mergers [10], [11] or to support strategic partnerships or operational necessities [12]. Growth objectives indirectly drive IS integration through deciding the type of organization that will emerge from the integration [10].…”

Section: Information Systems Integrationmentioning

confidence: 99%

A Quality-Driven Methodology for Information Systems Integration

Zikra

Stirna

Zdravković

2017

CSIMQ

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Abstract. Information systems integration is an essential instrument for organizations to attain advantage in today's growing and fast changing business and technology landscapes. Integration solutions generate added value by combining the functionality and services of heterogeneous and diverse systems. Existing integration environments tend to rely heavily on technical, platformdependent skills. Consequently, the solutions that they enable are not optimally aligned with the envisioned business goals of the organization. Furthermore, the gap between the goals and the solutions complicates the task of evaluating the quality of integration solutions. To address these challenges, we propose a quality-driven, model-driven methodology for designing and developing integration solutions. The methodology spans organizational and systems design details, providing a holistic view of the integration solution and its underlying business goals. A multi-view meta-model provides the basis for the integration design. Quality factors that affect various aspects of the integration solution guide and inform the progress of the methodology. An example business case is presented to demonstrate the application of the methodology.

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