Social Network Mixing Patterns in Mergers and Acquisitions-A Simulation Experiment
AbstractIn the contemporary world of global business and continuously growing competition, organizations tend to use mergers and acquisitions to enforce their position on the market. The future organization’s design is a critical success factor in such undertakings. The field of social network analysis can enhance our uderstanding of these processes as it lets us reason about the development of networks, regardless of their origin. The analysis of mixing patterns is particularly useful as it provides an insight into how nodes in a network connect with each other. We hypothesize that organizational networks with compatible mixing patterns will be integrated more successfully. After conducting a simulation experiment, we suggest an integration model based on the analysis of network assortativity. The model can be a guideline for organizational integration, such as occurs in mergers and acquisitions.
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Bibliographic InfoArticle provided by Society for Promotion of Business Information Technology (BIT) in its journal Business Systems Research.
Volume (Year): 2 (2011)
Issue (Month): 1 ()
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Postal: Udruga BIT, Faculty of Economics and Business, Trg J. F. Kennedy 6, 10000 Zagreb, Croatia.
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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Open Access publications from Maastricht University
urn:nbn:nl:ui:27-13056, Maastricht University.
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