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2017 | OriginalPaper | Buchkapitel

17. Integrating Social Networks into Marketing Decision Models

verfasst von : Xi Chen, Ralf van der Lans, Michael Trusov

Erschienen in: Handbook of Marketing Decision Models

Verlag: Springer International Publishing

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Abstract

The rise of online social networks has been the most significant development on the Internet in the last decade. It has not only transformed how consumers interact with each other, but also affected the way companies communicate with their customers. This development has also offered a wealth of data to better understand social interactions between consumers and to optimize marketing strategies in the presence of social influence. In this chapter, the authors provide a generalized framework to integrate social network data into traditional marketing decision models. The authors show how their framework nests several existing approaches to deal with social network data. They also discuss the empirical challenges researchers may encounter and possible solutions.

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Fußnoten
2
Structural equivalence refers to the extent to which two consumers are connected to the same or similar others. One frequently used formula is: \(SE_{ij} = \frac{{d_{ij} }}{{d_{i} + d_{j} - d_{ij} }}\), where \(d_{ij} = \sum\nolimits_{k \ne i,j} {a_{ik} a_{jk} }\).
 
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Metadaten
Titel
Integrating Social Networks into Marketing Decision Models
verfasst von
Xi Chen
Ralf van der Lans
Michael Trusov
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-56941-3_17

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