Integration of business intelligence with corporate strategic management

Authors

  • Jonathan Calof Telfer School of Management University of Ottawa Author
  • Greg Richards North-West University Author
  • Paul Santilli Hewlett Packard Enterprise Author

DOI:

https://doi.org/10.37380/jisib.v7i3.280

Keywords:

Analytics, big data, competitive intelligence, open innovation

Abstract

The traditional model of competitive intelligence and its operationalization in most organizations appears to be inadequate to address the intelligence challenges arising from the speed of change in the environment, increasing data complexity, and growth of international activities. To address this challenge, this article borrows concepts from open innovation, applying them to all CI activities. We are suggesting going beyond the traditional model of an in-house CI unit with activities largely conducted by the units personnel and moving towards a cross pollination approach whereby others in the firm contribute to all CI activities including, for example, the selection of key intelligence topics and being involved in analysis and eventually towards a full open intelligence model in which key stakeholders and external experts also assist the organization in all aspects of competitive intelligence activity. In proposing a more open approach for intelligence, the authors recognize the concern that CI professionals will have regarding sharing intelligence and intelligence activities outside the CI unit and outside the organization. However, as pointed out in this article, organizations around the world have been moving quickly towards an open innovation model generally concluding that the benefits associated with opening up all elements of the innovation process, including R&D, outweigh the risks of intellectual property loss.

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Published

2024-12-09

How to Cite

Calof, J., Richards, G., & Santilli, P. (2024). Integration of business intelligence with corporate strategic management. Journal of Intelligence Studies in Business, 7(3), 62-73. https://doi.org/10.37380/jisib.v7i3.280