To better understand how big data interconnects firms and customers, we analyse the role of customers’ emotions in the process of value co-destruction in a social media context. We perform a text mining based algorithm capable of identifying anger, expectation, disgust, fear, and sadness in peaks of problematic social interactions. The developed algorithm associated with an in-depth qualitative analysis shows how to employ unstructured big data to understand the role of negative emotions in the process of value co-destruction.

Value Co-Destruction: a Text-Mining-Based Mixed Method Study on Social Media Interactions

Frau Moreno
;
Frigau Luca;Cabiddu Francesca
2019

Abstract

To better understand how big data interconnects firms and customers, we analyse the role of customers’ emotions in the process of value co-destruction in a social media context. We perform a text mining based algorithm capable of identifying anger, expectation, disgust, fear, and sadness in peaks of problematic social interactions. The developed algorithm associated with an in-depth qualitative analysis shows how to employ unstructured big data to understand the role of negative emotions in the process of value co-destruction.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/286292
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