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The influences of competitive intelligence budgets on informational energy dynamics

Author

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  • Opait, Gabriela
  • Bleoju, Gianita
  • Nistor, Rozalia
  • Capatina, Alexandru

Abstract

This study presents a statistical analysis on the Competitive Intelligence (CI) budgets of a software development company by considering two main components of this budget: Competitor analysis and industry trends analysis. This research seeks to improve the financial management decisions on competitive intelligence budgets, which may reinforce the strategic positioning on dynamic and challenging environments. Building on organizational modeling, this study presents an analysis framework that combines organizational theory and statistical analysis to examine the influence of financial resources allocation. This study expands previous abductive-method-based research by using Onicescu's informational energy theory to the Romanian software industry. The results reflect changes in strategic priorities through financial reconfiguration consistent with the environment instability, thus supporting the CI profiling model that this study presents. In addition, the results show the relevance of Onicescu's informational energy theory in CI budgeting.

Suggested Citation

  • Opait, Gabriela & Bleoju, Gianita & Nistor, Rozalia & Capatina, Alexandru, 2016. "The influences of competitive intelligence budgets on informational energy dynamics," Journal of Business Research, Elsevier, vol. 69(5), pages 1682-1689.
  • Handle: RePEc:eee:jbrese:v:69:y:2016:i:5:p:1682-1689
    DOI: 10.1016/j.jbusres.2015.10.038
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    References listed on IDEAS

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    1. Mariadoss, Babu John & Johnson, Jean L. & Martin, Kelly D., 2014. "Strategic intent and performance: The role of resource allocation decisions," Journal of Business Research, Elsevier, vol. 67(11), pages 2393-2402.
    2. Alexandru Capatina & Rozalia Nistor & Gianita Bleoju, 2012. "Identification of trend patterns related to the dynamics of competitive intelligence budgets (the case of Romanian software industry)," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 2(3), pages 1-10.
    3. Lim, Lewis K.S., 2013. "Mapping competitive prediction capability: Construct conceptualization and performance payoffs," Journal of Business Research, Elsevier, vol. 66(9), pages 1576-1586.
    4. Felicia ALBESCU & Dorel Mihai PARASCHIV & Irina PUGNA, 2008. "Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(4), pages 5-12.
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    Cited by:

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    2. Łukasz KUŹMIŃSKI & Zdzisław KES & Yuriy BILAN & Tomasz NOREK & Marcin RABE & Katarzyna WIDERA & Agnieszka ŁOPATKA & Dalia STREIMIKIENE, 2024. "Variance and Deviations in the Budgets of Regional Enterprises as an Element of Risk Measurement in the Probabilistic Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 120-139, October.

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