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dc.contributor.authorWeerakkody, Vishanth J.P.
dc.contributor.authorSivarajah, Uthayasankar
dc.contributor.authorMahroof, Kamran
dc.contributor.authorMaruyama, Takao
dc.contributor.authorLu, Shan
dc.date.accessioned2020-08-21T12:39:06Z
dc.date.accessioned2020-09-09T12:06:51Z
dc.date.available2020-08-21T12:39:06Z
dc.date.available2020-09-09T12:06:51Z
dc.date.issued2020
dc.identifier.citationWeerakkody VJP, Sivarajah U, Mahroof K et al (2020) Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis. Journal of Business Research. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18006
dc.descriptionYes
dc.description.abstractBusiness leaders and policymakers within service economies are placing greater emphasis on well-being, given the role of workers in such settings. Whilst people’s well-being can lead to economic growth, it can also have the opposite effect if overlooked. Therefore, enhancing subjective well-being (SWB) is pertinent for all organisations for the sustainable development of an economy. While health conditions were previously deemed the most reliable predictors, the availability of data on people’s personal lifestyles now offers a new dimension into well-being for organisations. Using open data available from the national Annual Population Survey in the UK, which measures SWB, this research uncovered that among several independent variables to predict varying levels of people's perceived well-being, long-term health conditions, one's marital status, and age played a key role in SWB. The proposed model provides the key indicators of measuring SWB for organisations using big data.en_US
dc.language.isoenen_US
dc.rightsCrown Copyright © 2020 Published by Elsevier Inc. This is an Open Access article distributed under the Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.subjectBig data
dc.subjectRegression
dc.subjectWell-being
dc.subjectUN SDG goals
dc.subjectPublic sector
dc.titleInfluencing subjective well-being for business and sustainable development using big data and predictive regression analysisen_US
dc.status.refereedYes
dc.date.Accepted27/07/2020
dc.date.application19/08/2020
dc.typeArticle
dc.type.versionPublished version
dc.identifier.doihttps://doi.org/10.1016/j.jbusres.2020.07.038
dc.date.updated2020-08-21T11:39:13Z
refterms.dateFOA2020-09-09T12:07:17Z
dc.openaccess.statusopenAccess


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