In this chapter we study the influence of inter-organizational relationships on the formation of inter-individual relationships in the context of a trade fair. From a multilevel network analysis perspective (MNA), research often shows that inter-organizational ties have a strong influence on inter-individual relationship formation and vice-versa. This mutual influence can be seen as a process of adjustment between levels of action that Lazega (Chap. 10.1007/978-3-319-24520-1_2 of this volume, and forthcoming) calls “synchronization.” Our study provides insights into specific aspects of this synchronization process. Through the study of a trade fair for TV program distribution in sub-Saharan Africa, we study the influence of inter-organizational ties (deals and partnerships) on short-term-inter-individual relationships created during this ‘field-configuring event’ and on long-term relationships created outside the trade fair but reactivated during the event. We try to understand how this event participates in the formation of a social milieu in which the markets for TV programs in Africa are embedded. We argue that the multilevel influences are different for short-term and long-term inter-individual ties. We assume that inter-organizational networks are more stable than inter-individual networks, since individuals can more easily create and destroy ties. Through our case study, we show that while the inter-organizational contract network influences the long-term inter-individual network, it has a weak influence on the short-term relationships, which supports the idea that synchronization of levels is an important social problem, and that trade fairs are a way either to escape from the constraints that come attached in markets, or a way to manage them.
CITATION STYLE
Favre, G., Brailly, J., Chatellet, J., & Lazega, E. (2016). Inter-organizational Network Influence on Long-Term and Short-Term Inter-individual Relationships: The Case of a Trade Fair for TV Programs Distribution in Sub-Saharan Africa. In Multilevel Network Analysis for the Social Sciences (pp. 295–314). Springer International Publishing. https://doi.org/10.1007/978-3-319-24520-1_12
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