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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

Tracing Consumers’ Decision-Making in Digital Social Shopping Networks

verfasst von : Camille Grange, Izak Benbasat

Erschienen in: Information Systems and Neuroscience

Verlag: Springer International Publishing

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Abstract

Several online businesses consider integrating social network functionalities into their online store, thus creating digital social shopping networks (DSNs). Because friends tend to be trusted or have similar interests, one often expects that shoppers will leverage their connections to simplify choice making and enhance the chances of finding well-suited products. Unfortunately, there is little evidence or theory to justify whether, when, and how this might manifest. In this research, we address this issue by developing a model of how decision-making unfolds in a DSN. The model can be used as a basis for a research program aimed at explaining why, when, and by what means online shoppers leverage their social network or cease leveraging it. We outline the key features of an empirical strategy, which involves process tracing via the use of complementary techniques: navigation recording, verbal protocol and ocular activity.

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Nächstes Kapitel Validating Knowledge Filtering Processes in Electronic Networks of Practice
Fußnoten
1
The term sufficient has a pragmatic connotation that fits with the idea that SN value is assessed by users based on their own standards and needs.
 
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Metadaten
Titel
Tracing Consumers’ Decision-Making in Digital Social Shopping Networks
verfasst von
Camille Grange
Izak Benbasat
Copyright-Jahr
2017
Buch
Information Systems and Neuroscience

Print ISBN: 978-3-319-41401-0

Electronic ISBN: 978-3-319-41402-7

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-41402-7_1