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dc.contributor.authorOlabode, Oluwaseun E.
dc.contributor.authorBoso, N.
dc.contributor.authorHultman, M.
dc.contributor.authorLeonidou, C.N.
dc.date.accessioned2023-09-19T09:24:05Z
dc.date.accessioned2023-09-29T13:10:16Z
dc.date.available2023-09-19T09:24:05Z
dc.date.available2023-09-29T13:10:16Z
dc.date.issued2023
dc.identifier.citationOlabode OE, Boso N, Hultman M et al (2023) Challenges in using a Mixed-Method approach to explore the relationship between big data analytics capabilities and market performance. Sage Research Methods: Business.en_US
dc.identifier.urihttp://hdl.handle.net/10454/19590
dc.descriptionNo
dc.description.abstractThis case study is based on a research study that examined the relationship between big data analytics capability and market performance. The study investigated the intervening role of disruptive business models and the contingency role of competitive intensity on the relationship between big data analytics capability and market performance using both qualitative and quantitative methods. This case-study will focus on the qualitative and quantitative methods utilised including NVivo and IBM SPSS to conduct qualitative analysis and quantitative analysis. You will learn the factors to consider when conducting a mixed-methods study and develop the ability to apply similar analytical techniques to your research context.en_US
dc.language.isoenen_US
dc.publisherSAGE
dc.subjectBig data analytics
dc.subjectMarket performance
dc.subjectBusiness models
dc.subjectMediation
dc.subjectOrganisations
dc.subjectScale
dc.subjectSurveying
dc.titleChallenges in using a Mixed-Method approach to explore the relationship between big data analytics capabilities and market performanceen_US
dc.status.refereedYes
dc.date.application21/03/2023
dc.typeOther
dc.type.versionNo full-text in the repository
dc.identifier.doihttps://doi.org/10.4135/9781529669398
dc.rights.licenseUnspecifieden_US
dc.date.updated2023-09-19T09:24:07Z
refterms.dateFOA2023-09-29T13:10:37Z
dc.openaccess.statusclosedAccess


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