Big Data and Happiness
| aut.relation.softwareversion | 634 | en_NZ |
| aut.researcher | Rossouw, Stephanie | |
| dc.contributor.author | Rossouw, S | en_NZ |
| dc.contributor.author | Greyling, T | en_NZ |
| dc.date.accessioned | 2020-09-08T04:08:07Z | |
| dc.date.available | 2020-09-08T04:08:07Z | |
| dc.date.copyright | 2020-09-02 | en_NZ |
| dc.date.issued | 2020-09-02 | en_NZ |
| dc.description.abstract | The pursuit of happiness. What does that mean? Perhaps a more prominent question to ask is, 'how does one know whether people have succeeded in their pursuit'? Survey data, thus far, has served us well in determining where people see themselves on their journey. However, in an everchanging world, one needs high-frequency data instead of data released with significant time-lags. High-frequency data, which stems from Big Data, allows policymakers access to virtually real-time information that can assist in effective decision-making to increase the quality of life for all. Additionally, Big Data collected from, for example, social media platforms give researchers unprecedented insight into human behaviour, allowing significant future predictive powers. | |
| dc.identifier.citation | GLO Discussion Paper, No. 634, Global Labor Organization (GLO), Essen. Retrieved from: http://hdl.handle.net/10419/223012 | |
| dc.identifier.uri | https://hdl.handle.net/10292/13644 | |
| dc.publisher | Global Labor Organization | en_NZ |
| dc.relation.uri | https://www.econstor.eu/handle/10419/223012 | en_NZ |
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| dc.rights.accessrights | OpenAccess | en_NZ |
| dc.subject | Happiness; Big Data; Sentiment analysis | |
| dc.title | Big Data and Happiness | en_NZ |
| pubs.elements-id | 390733 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Business, Economics & Law | |
| pubs.organisational-data | /AUT/Business, Economics & Law/CBIS | |
| pubs.organisational-data | /AUT/Business, Economics & Law/Economics | |
| pubs.organisational-data | /AUT/Business, Economics & Law/Economics/Economics PBRF 2012 | |
| pubs.organisational-data | /AUT/Business, Economics & Law/NZWRI - NZ Work Research Institute | |
| pubs.organisational-data | /AUT/Faculty of Business, Economics and Law | |
| pubs.organisational-data | /AUT/Faculty of Business, Economics and Law/NZ Work Research Institute | |
| pubs.organisational-data | /AUT/Faculty of Business, Economics and Law/School of Economics | |
| pubs.organisational-data | /AUT/PBRF | |
| pubs.organisational-data | /AUT/PBRF/PBRF Business Economics and Law | |
| pubs.organisational-data | /AUT/PBRF/PBRF Business Economics and Law/Faculty Review Team PBRF 2018 | |
| pubs.organisational-data | /AUT/PBRF/PBRF Business Economics and Law/School of Economics PBRF 2018 |