The impact of increases in subsidiary autonomy and network relationships on performance

► We investigate interaction effect of subsidiary autonomy, networks and performance. ► Increases in subsidiary autonomy increase inter-organizational relationships. ► Increases in subsidiary inter-organizational relationships improve performance. This paper uses network approaches to subsidiary the...

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Veröffentlicht in:International business review 2012-12, Vol.21 (6), p.1158-1172
Hauptverfasser: Gammelgaard, Jens, McDonald, Frank, Stephan, Andreas, Tüselmann, Heinz, Dörrenbächer, Christoph
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Sprache:eng
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Zusammenfassung:► We investigate interaction effect of subsidiary autonomy, networks and performance. ► Increases in subsidiary autonomy increase inter-organizational relationships. ► Increases in subsidiary inter-organizational relationships improve performance. This paper uses network approaches to subsidiary theory to investigate the performance impacts of interactions among the factors of autonomy, intra-organizational network relationships, and inter-organizational network relationships. The paper offers an analysis of both direct and indirect interactions among these factors. This study develops and extends existing research that uses network-based approaches in studies of subsidiary performance by considering the roles of autonomy and network relationships. In addition, the study examines changes in terms of increases in the interactions between the main factors rather than the levels of these factors. The examination of the interactions between increases in autonomy and networks and the subsequent impact of this change on performance contributes to a better understanding of subsidiary evolution. The results, which are based on data gathered from a survey of 350 foreign-owned subsidiaries in the UK, Germany, and Denmark, reveal complex interactions between increases in autonomy and network relationships, and the subsequent impact of these changes on performance. The results also highlight the central role of inter-organizational network relationships in the interaction between the factors, which produce significant and positive effects.
ISSN:0969-5931
1873-6149
1873-6149
DOI:10.1016/j.ibusrev.2012.01.001