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Leveraging Process Innovation with Business Analytics

Leveraging Process Innovation with Business Analytics

Marcos Paulo Valadares de Oliveira, Claudia Xavier Cavalcanti, Marcelo Bronzo Ladeira, Kevin P. McCormack
Copyright: © 2016 |Volume: 8 |Issue: 3 |Pages: 13
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466690547|DOI: 10.4018/IJDSST.2016070104
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MLA

Valadares de Oliveira, Marcos Paulo, et al. "Leveraging Process Innovation with Business Analytics." IJDSST vol.8, no.3 2016: pp.63-75. http://doi.org/10.4018/IJDSST.2016070104

APA

Valadares de Oliveira, M. P., Cavalcanti, C. X., Ladeira, M. B., & McCormack, K. P. (2016). Leveraging Process Innovation with Business Analytics. International Journal of Decision Support System Technology (IJDSST), 8(3), 63-75. http://doi.org/10.4018/IJDSST.2016070104

Chicago

Valadares de Oliveira, Marcos Paulo, et al. "Leveraging Process Innovation with Business Analytics," International Journal of Decision Support System Technology (IJDSST) 8, no.3: 63-75. http://doi.org/10.4018/IJDSST.2016070104

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Abstract

Although 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.

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