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dc.contributor.authorHughes, Jeffrey
dc.contributor.authorBall, Kirstie
dc.date.accessioned2022-03-12T00:44:15Z
dc.date.available2022-03-12T00:44:15Z
dc.date.issued2020-12
dc.identifier270187817
dc.identifierbc068718-e5e5-41e0-a333-2a34a21966ad
dc.identifier85090597782
dc.identifier000597125800005
dc.identifier.citationHughes , J & Ball , K 2020 , ' Sowing the seeds of value? Persuasive practices and the embedding of big data analytics ' , Technological Forecasting and Social Change , vol. 161 , 120300 . https://doi.org/10.1016/j.techfore.2020.120300en
dc.identifier.issn0040-1625
dc.identifier.otherORCID: /0000-0001-6936-7490/work/82179684
dc.identifier.urihttps://hdl.handle.net/10023/25034
dc.descriptionFunding: Social Sciences and Humanities Research Council of Canada. Partnership grant title: Big Data Surveillance. Reference number: SSHRC 895-2015-1003.en
dc.description.abstractThis paper draws on data from three organisational case studies and expert interviews to propose that persuasive practices are the precursors and enablers of analytical capability development. A bundle of seven practices was identified and observed to bridge multiple gaps between technical and non-technical colleagues on big data analytics (BDA) projects. The deployment of these practices varied according to the level of BDA maturity and featured a host of socio-material elements. This paper complements existing technical case studies with a fine-grained qualitative account of the managerial and human elements of BDA implementation. Effective deployment of persuasive practices potentially both embeds the benefits and mitigates the risks of BDA, sowing the seeds of many different forms of value.
dc.format.extent650688
dc.language.isoeng
dc.relation.ispartofTechnological Forecasting and Social Changeen
dc.subjectBig data analyticsen
dc.subjectPersuasionen
dc.subjectPracticeen
dc.subjectCapabilitiesen
dc.subjectValueen
dc.subjectHD28 Management. Industrial Managementen
dc.subjectNDASen
dc.subject.lccHD28en
dc.titleSowing the seeds of value? Persuasive practices and the embedding of big data analyticsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Managementen
dc.contributor.institutionUniversity of St Andrews. Office of the Principalen
dc.identifier.doi10.1016/j.techfore.2020.120300
dc.description.statusPeer revieweden
dc.date.embargoedUntil2022-03-12


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