Can Facebook likes predict the purchase probability of electricity storage systems?

Aufsätze referiert extern - sonstige

Stefan Poier

In: Social Network Analysis and Mining 11 (2021), 1, 79

Abstract

This study among owners of photovoltaic systems investigates whether users' Big Five personality traits derived from their Facebook likes contribute to whether or not they adopt an electricity storage. It is based on the finding that the digital footprint, especially the Facebook likes, can in part predict the personality of users better than friends and family. The survey was conducted among 159 Facebook users in Germany who owned a photovoltaic system. For comparison, a control sample with data from the German Socio-Economic Panel with 425 photovoltaic owners among 7286 individuals was used. The results show that, for extraversion, agreeableness, and neuroticism, the mean scores could be sufficiently predicted. However, a positive correlation could only be detected for extraversion. The comparison of the user groups could not provide satisfying results. None of the Big Five personality traits could be used to distinguish the two user groups from each other. Although the results did not support the hypotheses, this study offers insights into the possibilities of combining data mining, personality psychology, and consumer research.

Themen: Persönlichkeit



Keywords: Big Five; Renewable energy; Consumer behavior; Social networks; Online marketing
Externer Link:
https://link.springer.com/content/pdf/10.1007/s13278-021-00789-1.pdf
DOI:
https://doi.org/10.1007/s13278-021-00789-1

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