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dc.contributor.authorKnahl, M
dc.contributor.authorSankaran, G
dc.contributor.authorSiestrup, G
dc.contributor.authorVasileiou, Ismini
dc.date.accessioned2020-07-02T11:57:54Z
dc.date.available2020-07-02T11:57:54Z
dc.date.issued2020
dc.identifier.citationSankaran, G., Knahl, M., Siestrup, G., Vasileiou, I. (2020) A Measurement Model of Value of Data for Decision Making in the Digital Era. International Journal of Integrated Supply Management,en
dc.identifier.issn1477-5360
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/19916
dc.descriptionThe file attached to this record is the author's final peer reviewed version.en
dc.description.abstractDespite burgeoning opportunities for data-driven decisions, research shows that decision-makers are failing to make sense of data within a broader context of organizational change which presents the following pertinent questions: 1) how can decision-makers measure the value of data by giving a holistic account? 2) how should the organization-specific blending of Machine and human rationality be factored in the measurement model? This study tackles these questions by proposing a novel approach that combines system dynamics and the ability to incorporate data science methods. In addition to a conceptual description, this paper also describes a feasibility test conducted on a small-scale prototype set in a supply-chain context. The results show that the use of sophisticated models that have a local scope ("locally rational") might have unintended global consequences. It underscores the need for a holistic model in the decision-makers' toolkit providing the ability to run targeted simulations to assess digital investments.en
dc.language.isoenen
dc.publisherInderscienceen
dc.subjectDigital Technologiesen
dc.subjectDigital Transformationen
dc.subjectBig Dataen
dc.subject, Bounded Rationalityen
dc.titleA Measurement Model of Value of Data for Decision Making in the Digital Eraen
dc.typeArticleen
dc.funderNo external funderen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2020-06


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