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dc.contributor.authorColeman, Shirley
dc.contributor.authorGoeb, Rainer
dc.contributor.authorManco, Giuseppe
dc.contributor.authorPievatolo, Antonio
dc.contributor.authorTort-Martorell Llabrés, Xavier
dc.contributor.authorReis, Marco Seabra
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2017-02-08T08:46:25Z
dc.date.available2018-05-11T00:30:41Z
dc.date.issued2016-10-01
dc.identifier.citationColeman, S., Goeb, R., Manco, G., Pievatolo, A., Tort-Martorell, J., Reis, M. How can SMEs benefit from big data? Challenges and a path forward. "Quality and reliability engineering international", 1 Octubre 2016, vol. 32, núm. 6, p. 2151-2164.
dc.identifier.issn0748-8017
dc.identifier.urihttp://hdl.handle.net/2117/100656
dc.description.abstractBig data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.
dc.format.extent14 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subject.lcshBig data
dc.subject.lcshSmall business
dc.subject.lcshManagement information systems
dc.subject.otherPredictive analytics
dc.subject.othermaturity model
dc.subject.otherdata science
dc.subject.otherskills shortage
dc.titleHow can SMEs benefit from big data? Challenges and a path forward
dc.typeArticle
dc.subject.lemacMacrodades
dc.subject.lemacEmpreses petites i mitjanes
dc.subject.lemacSistemes d'informació per a la gestió
dc.contributor.groupUniversitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
dc.identifier.doi10.1002/qre.2008
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1002/qre.2008/abstract
dc.rights.accessOpen Access
local.identifier.drac19331443
dc.description.versionPostprint (author's final draft)
local.citation.authorColeman, S.; Goeb, R.; Manco, G.; Pievatolo, A.; Tort-Martorell, J.; Reis, M.
local.citation.publicationNameQuality and reliability engineering international
local.citation.volume32
local.citation.number6
local.citation.startingPage2151
local.citation.endingPage2164


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