Cellulographics©: A novel smartphone user classification metrics

Despite the worldwide surge in smartphone use, there are no classification metrics based on its use. In this article, a comprehensive concept called ‘Cellulographics’ is introduced for characterization of smartphone users, which includes behavioral classification based on user characteristics like s...

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Main Authors: Prateek Kalia, Yogesh K. Dwivedi, Ángel Acevedo-Duque
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Journal of Innovation & Knowledge
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2444569X22000191
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author Prateek Kalia
Yogesh K. Dwivedi
Ángel Acevedo-Duque
author_facet Prateek Kalia
Yogesh K. Dwivedi
Ángel Acevedo-Duque
author_sort Prateek Kalia
collection DOAJ
description Despite the worldwide surge in smartphone use, there are no classification metrics based on its use. In this article, a comprehensive concept called ‘Cellulographics’ is introduced for characterization of smartphone users, which includes behavioral classification based on user characteristics like smartphone experience (SE), smartphone use skill (SUS), smartphone internet experience (SIE), smartphone use periods (SUP), smartphone screen time (SST), smartphone use frequency (SUF), smartphone use activities (SUA), and smartphone use location (SUL). This concept can be applied to any field of study without limitations, where smartphone use is involved.
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spelling doaj.art-51919b9f487b42c28b9784895d6251112022-12-22T02:20:30ZengElsevierJournal of Innovation & Knowledge2444-569X2022-04-0172100179Cellulographics©: A novel smartphone user classification metricsPrateek Kalia0Yogesh K. Dwivedi1Ángel Acevedo-Duque2Department of Corporate Economy, Faculty of Economics and Administration, Masaryk University, Lipová 507/41a, Brno 602 00, Czech Republic; Corresponding author.Emerging Markets Research Centre (EMaRC), School of Management, Swansea University, Room #323 Bay Campus, Fabian Bay, Swansea, Wales SA1 8EN, UK; Department of Management, Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune, Maharashtra, IndiaPublic Policy Observatory, Universidad Autónomade Chile, Santiago 7500912, ChileDespite the worldwide surge in smartphone use, there are no classification metrics based on its use. In this article, a comprehensive concept called ‘Cellulographics’ is introduced for characterization of smartphone users, which includes behavioral classification based on user characteristics like smartphone experience (SE), smartphone use skill (SUS), smartphone internet experience (SIE), smartphone use periods (SUP), smartphone screen time (SST), smartphone use frequency (SUF), smartphone use activities (SUA), and smartphone use location (SUL). This concept can be applied to any field of study without limitations, where smartphone use is involved.http://www.sciencedirect.com/science/article/pii/S2444569X22000191SmartphoneInternetExperienceScreen timeUse frequencyLocation
spellingShingle Prateek Kalia
Yogesh K. Dwivedi
Ángel Acevedo-Duque
Cellulographics©: A novel smartphone user classification metrics
Journal of Innovation & Knowledge
Smartphone
Internet
Experience
Screen time
Use frequency
Location
title Cellulographics©: A novel smartphone user classification metrics
title_full Cellulographics©: A novel smartphone user classification metrics
title_fullStr Cellulographics©: A novel smartphone user classification metrics
title_full_unstemmed Cellulographics©: A novel smartphone user classification metrics
title_short Cellulographics©: A novel smartphone user classification metrics
title_sort cellulographics c a novel smartphone user classification metrics
topic Smartphone
Internet
Experience
Screen time
Use frequency
Location
url http://www.sciencedirect.com/science/article/pii/S2444569X22000191
work_keys_str_mv AT prateekkalia cellulographicsanovelsmartphoneuserclassificationmetrics
AT yogeshkdwivedi cellulographicsanovelsmartphoneuserclassificationmetrics
AT angelacevedoduque cellulographicsanovelsmartphoneuserclassificationmetrics