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MERCATI & COMPETITIVITÀ
Article
License: CC BY
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MERCATI & COMPETITIVITÀ
Article . 2016 . Peer-reviewed
Data sources: Crossref
MERCATI & COMPETITIVITÀ
Article . 2016
Data sources: mEDRA
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The smartphoners: consumer segmentation by smartphone usage

Authors: De Canio, Francesca; Pellegrini, Davide; Aramendia-Muneta, M. Elena;

The smartphoners: consumer segmentation by smartphone usage

Abstract

Smartphone usage is becoming an integral part of consumer' lifestyle. Over 50% of the worldwide population own at least one smartphone and the adoption of mobile technologies have reshaped the boundaries between online and offline. This study aims to segment consumers by means of activities they perform on personal mobile phones. By analysing 264 online questionnaires and using ten smartphones¿ functionalities, we identify five main Smartphoners' profiles: Utility Users, Gamers, Unfriendly Users, Moderator Users and Supersmartphoners. Differences between smartphone users in terms of age, gender and area of residence, as well as brand of the smartphone owned, hours of usage and reasons to use have been investigated. Managerial and academic implications have been discussed.

Countries
Italy, Spain
Keywords

Cluster analysis, Device usage, Consumer segmentation, Smartphone, Lifestyle, Smartphone, Consumer Segmentation, Functionalities, Device Usage, Lifestyle, Cluster Analysis, Functionalities

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
Average
Average
44
160
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hybrid