Leveraging process innovation with business analytics

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dc.creatorMarcos Paulo Valadares de Oliveira
dc.creatorCláudia Xavier Cavalcanti
dc.creatorMarcelo Bronzo Ladeira
dc.creatorKevin P. McCormack
dc.date.accessioned2022-06-21T14:23:38Z
dc.date.accessioned2025-09-08T23:48:17Z
dc.date.available2022-06-21T14:23:38Z
dc.date.issued2016
dc.identifier.doi10.4018/IJDSST
dc.identifier.issn1941630X
dc.identifier.urihttps://hdl.handle.net/1843/42570
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Decision Support System Technology
dc.rightsAcesso Restrito
dc.subjectAdministração de empresas
dc.subject.otherAnalytical Orientation
dc.subject.otherAnalytics
dc.subject.otherProcess Innovation
dc.subject.otherRBT
dc.titleLeveraging process innovation with business analytics
dc.typeArtigo de periódico
local.citation.epage75
local.citation.issue3
local.citation.spage63
local.citation.volume8
local.description.resumoAlthough recognized as increasingly relevant, the relationships between analytical orientation and process innovation are still unclear, specifically the role of analytical resources and capabilities in this association. This paper presents the results of empirical research conducted to investigate these complex links. The empirical data was drawn from 81 companies of different sectors in Brazil. Data analysis was mainly based on path analysis with structural equation modeling. The findings of this study indicate that analytical orientation can leverage process innovation. Moreover, information quality is somehow a more valuable resource to analytical orientation than information technology, and that analytical capabilities, especially analytical leadership, were proven to be more important to sustain analytical orientation than companies' analytical resources. Another important result, also with considerable repercussion in future research on the theme, was the predictive relevance of analytical capabilities for analytical orientation. This was much higher than the predictive relevance shown by analytical resources.
local.publisher.countryBrasil
local.publisher.departmentFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS
local.publisher.initialsUFMG
local.url.externahttps://www.igi-global.com/article/leveraging-process-innovation-with-business-analytics/160096

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