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Improving performance aligning business analytics with process orientation

Author

Listed:
  • Bronzo, Marcelo
  • de Resende, Paulo Tarso Vilela
  • de Oliveira, Marcos Paulo Valadares
  • McCormack, Kevin P.
  • de Sousa, Paulo Renato
  • Ferreira, Reinaldo Lopes

Abstract

How to align business analytics with process orientation initiatives and how management can influence a synergistic accomplishment of these two elements in order to streamline organizational performance is a foremost managerial issue. By means of a quantitative research effort, a study was designed to investigate the relationships among these constructs. Empirical data were collected in 2011 from a survey of 368 large and mid-sized industrial and service companies headquartered in Brazil. A quantitative analysis was performed, and both the reliability and validity of the scales were evaluated prior to using structural equation modeling. The results demonstrate that the direct effects among BPO, analytical indicators and performance can be taken as statistically significant. The findings also demonstrate that BPO and analytical indicators can be taken as predictors of performance. The paper discusses these results and their managerial implications, as well as some research paths for future studies on the topic.

Suggested Citation

  • Bronzo, Marcelo & de Resende, Paulo Tarso Vilela & de Oliveira, Marcos Paulo Valadares & McCormack, Kevin P. & de Sousa, Paulo Renato & Ferreira, Reinaldo Lopes, 2013. "Improving performance aligning business analytics with process orientation," International Journal of Information Management, Elsevier, vol. 33(2), pages 300-307.
    • Handle: RePEc:eee:ininma:v:33:y:2013:i:2:p:300-307
    DOI: 10.1016/j.ijinfomgt.2012.11.011
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    References listed on IDEAS

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    Cited by:

    1. Amy Van Looy & Peter Trkman & Els Clarysse, 2022. "A Configuration Taxonomy of Business Process Orientation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 133-147, April.
    2. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.
    3. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
    4. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.

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