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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Elsevier
2022-04-01
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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. |
first_indexed | 2024-04-14T01:24:16Z |
format | Article |
id | doaj.art-51919b9f487b42c28b9784895d625111 |
institution | Directory Open Access Journal |
issn | 2444-569X |
language | English |
last_indexed | 2024-04-14T01:24:16Z |
publishDate | 2022-04-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Innovation & Knowledge |
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 |