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Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa
Big data has gained academic relevance over the last decade and is also of interest to other role-players such as governments, businesses and the general public. Based on our previous work on the Big Data Readiness Index (BDRI) we place the focus on one under-investigated aspect of big data: the lin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134308/ http://dx.doi.org/10.1007/978-3-030-44999-5_37 |
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author | Joubert, Anke Murawski, Matthias Bühler, Julian Bick, Markus |
author_facet | Joubert, Anke Murawski, Matthias Bühler, Julian Bick, Markus |
author_sort | Joubert, Anke |
collection | PubMed |
description | Big data has gained academic relevance over the last decade and is also of interest to other role-players such as governments, businesses and the general public. Based on our previous work on the Big Data Readiness Index (BDRI) we place the focus on one under-investigated aspect of big data: the linkage to happiness. The BDRI, applied on Africa, includes the topic of happiness within the digital wellbeing driver, but the link between the two topics requires further investigation. Thus, two underlying questions emerge: what is the relation between happiness and big data? And how does Africa perform in digital wellbeing? This paper includes a structured literature review highlighting five key clusters indicating this link. Furthermore, we present some first empirical insights using the BDRI focusing on Africa. Overall, the African continent performs best in the social inclusion cluster of happiness, with the most room for improvement in the job creation cluster. |
format | Online Article Text |
id | pubmed-7134308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71343082020-04-06 Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa Joubert, Anke Murawski, Matthias Bühler, Julian Bick, Markus Responsible Design, Implementation and Use of Information and Communication Technology Article Big data has gained academic relevance over the last decade and is also of interest to other role-players such as governments, businesses and the general public. Based on our previous work on the Big Data Readiness Index (BDRI) we place the focus on one under-investigated aspect of big data: the linkage to happiness. The BDRI, applied on Africa, includes the topic of happiness within the digital wellbeing driver, but the link between the two topics requires further investigation. Thus, two underlying questions emerge: what is the relation between happiness and big data? And how does Africa perform in digital wellbeing? This paper includes a structured literature review highlighting five key clusters indicating this link. Furthermore, we present some first empirical insights using the BDRI focusing on Africa. Overall, the African continent performs best in the social inclusion cluster of happiness, with the most room for improvement in the job creation cluster. 2020-03-06 /pmc/articles/PMC7134308/ http://dx.doi.org/10.1007/978-3-030-44999-5_37 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Joubert, Anke Murawski, Matthias Bühler, Julian Bick, Markus Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa |
title | Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa |
title_full | Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa |
title_fullStr | Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa |
title_full_unstemmed | Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa |
title_short | Happiness and Big Data – Theoretical Foundation and Empirical Insights for Africa |
title_sort | happiness and big data – theoretical foundation and empirical insights for africa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134308/ http://dx.doi.org/10.1007/978-3-030-44999-5_37 |
work_keys_str_mv | AT joubertanke happinessandbigdatatheoreticalfoundationandempiricalinsightsforafrica AT murawskimatthias happinessandbigdatatheoreticalfoundationandempiricalinsightsforafrica AT buhlerjulian happinessandbigdatatheoreticalfoundationandempiricalinsightsforafrica AT bickmarkus happinessandbigdatatheoreticalfoundationandempiricalinsightsforafrica |