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Generating Knowledge by Combining Prediction Models with Information Technology

In: Management of the Interconnected World

Author

Listed:
  • Luciano Marchi

    (University of Pisa)

  • Carlo Caserio

    (University of Macerata)

Abstract

The process of planning is largely based on the way the Information Technology supports decision makers to formulate the future objectives from the past results, and, at the same time, managing knowledge development. In this perspective, the past business dynamics are very important in order to estimate the future ones; this way, taking some aspects arising from the variance analysis, can improve the understanding of past data and, consequently, improve the reliability of estimation. The aim of the paper is to discuss how different modelling approaches allow the process to evolve from supporting decisions to generating knowledge.

Suggested Citation

  • Luciano Marchi & Carlo Caserio, 2010. "Generating Knowledge by Combining Prediction Models with Information Technology," Springer Books, in: Alessandro D'Atri & Marco De Marco & Alessio Maria Braccini & Francesca Cabiddu (ed.), Management of the Interconnected World, pages 307-314, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2404-9_36
    DOI: 10.1007/978-3-7908-2404-9_36
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    Cited by:

    1. Rosa Lombardi, 2021. "Le dimensioni della conoscenza aziendale. Profili di investigazione tra crisi pandemica ed economia digitale," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(3), pages 5-14.
    2. Claudia Presti & Nicola Castellano & Luciano Marchi, 2021. "L?utilizzo dei dati contabili per la pianificazione economico-finanziaria: sviluppo della conoscenza e supporto decisionale," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(3), pages 16-40.
    3. Giovanna Mariani & Davide Morelli & Leonardo Bartoloni, 2019. "Managing uncertainty in the start-up environment. Is a business plan an incentive or a limitation?," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2019(1), pages 73-96.

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