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dc.contributor.authorMeierhofer, Jürg-
dc.contributor.authorKugler, Petra-
dc.contributor.authorEtschmann, Roman-
dc.date.accessioned2019-05-23T12:50:23Z-
dc.date.available2019-05-23T12:50:23Z-
dc.date.issued2019-
dc.identifier.isbn978-1-85449-463-4de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17145-
dc.description.abstractPurpose: This paper investigates the status and evolution of data-driven services specifically in SMEs and compares them with the situation of large enterprises. For both, increasing the proportion of total business accounted for by services is considered essential to build up and maintain competitive advantages. Thereby, the pattern of services shifts towards advanced services, for which the capability to manage, process, and analyse data is relevant. This represents a challenge in particular for SMEs in terms of knowledge, organisation, and culture. A more advanced understanding of the specific characteristics of this gap and of the possibilities of closing it is required. Design/Methodology/Approach: Therefore, a literature review followed by a field study was conducted to analyse this challenge. The field study incorporates (1) a series of in-depth interviews with more than ten SMEs and (2) a quantitative survey with more than one hundred replies. Findings: Our findings suggest that for SMEs building services on data has a big potential and it is expected to have higher priority in the future. In contrast to large enterprises, the share of revenue accounted for by services is still subcritical for SMEs, and it is expected to grow. Getting data from the installed base of products is a significantly higher hurdle for SMEs than for large enterprises, which represents a major challenge. There is a lack of data science knowledge and competences in SMEs. However, SMEs’ willingness to participate in shared competence centres increases. Originality/Value: This paper provides a new perspective on the challenges of servitization of manufacturing SMEs by a focus on applying data and analytics for the provision of services. The research is relevant in order to address the challenges and solution approaches which are specific for manufacturing SMEs.de_CH
dc.language.isoende_CH
dc.publisherAston Universityde_CH
dc.relation.ispartofProceedings of the spring servitization conference : delivering services growth in the digital erade_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectServitizationde_CH
dc.subjectData-driven servicede_CH
dc.subjectAdvanced servicede_CH
dc.subjectData sciencede_CH
dc.subjectSmall and medium-sized enterprisede_CH
dc.subjectData strategyde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc658: Allgemeines Managementde_CH
dc.titleChallenges and approaches with data-driven services for SMEs : insights from a field studyde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.publisher.placeBirminghamde_CH
zhaw.conference.detailsSpring servitization conference : delivering services growth in the digital era, Linköping, Sweden, 13 - 15 May 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end49de_CH
zhaw.pages.start39de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.webfeedMEM-Industriede_CH
zhaw.webfeedPredictive Analyticsde_CH
zhaw.webfeedService Engineeringde_CH
zhaw.funding.zhawData Science für KMU (Data4KMU)de_CH
zhaw.funding.zhawNutzenbasierter Digitalisierungsnavigator (DigiNav)de_CH
Appears in Collections:Publikationen School of Engineering

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