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"Early Warnings": incremento nella capacit? di risposta o perdita di rilevanza?

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  • Michele Bertoni
  • Bruno De Rosa
  • Paola Rossi

Abstract

The new Italian Insolvency and Crisis Code requires companies to implement adequate tools to promptly detect a state of crisis and to undertake appropriate initiatives in a timely manner. This study provides a conceptual model for integrating an early warnings system into management control systems? frameworks, which a new law requires. By undertaking a literature review and analyzing the package of controls that the new regulatory guidelines impose, we identify an early warning system as a boundary one in terms of the theoretical framework that Simons (1995) proposed. We conclude that an early warning internal control system should complement traditional managerial logics.

Suggested Citation

  • Michele Bertoni & Bruno De Rosa & Paola Rossi, 2021. ""Early Warnings": incremento nella capacit? di risposta o perdita di rilevanza?," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(1), pages 175-194.
  • Handle: RePEc:fan:macoma:v:html10.3280/maco2021-001009
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    References listed on IDEAS

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    1. Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper & Alberto Romero, 2019. "Early Warning Systems for Currency Crises with Real-Time Data," Open Economies Review, Springer, vol. 30(4), pages 813-835, September.
    2. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    3. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    4. Oliver Henk, 2020. "Internal control through the lens of institutional work: a systematic literature review," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(3), pages 239-273, September.
    5. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    6. Michele Bertoni & Bruno De Rosa & Laura Peressin, 2019. "Early Warning Systems: A Risk of Increasing Managerial Myopia?," Management, University of Primorska, Faculty of Management Koper, vol. 14(4), pages 305-323.
    7. Chenhall, Robert H. & Moers, Frank, 2015. "The role of innovation in the evolution of management accounting and its integration into management control," Accounting, Organizations and Society, Elsevier, vol. 47(C), pages 1-13.
    8. Thomas Ahrens & Christopher S. Chapman, 2004. "Accounting for Flexibility and Efficiency: A Field Study of Management Control Systems in a Restaurant Chain," Contemporary Accounting Research, John Wiley & Sons, vol. 21(2), pages 271-301, June.
    9. Flamholtz, Eric, 1996. "Effective organizational control: A framework, applications, and implications," European Management Journal, Elsevier, vol. 14(6), pages 596-611, December.
    10. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    11. Stewart Jones & David Johnstone & Roy Wilson, 2017. "Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 44(1-2), pages 3-34, January.
    12. Mundy, Julia, 2010. "Creating dynamic tensions through a balanced use of management control systems," Accounting, Organizations and Society, Elsevier, vol. 35(5), pages 499-523, July.
    13. Bisbe, Josep & Batista-Foguet, Joan-Manuel & Chenhall, Robert, 2007. "Defining management accounting constructs: A methodological note on the risks of conceptual misspecification," Accounting, Organizations and Society, Elsevier, vol. 32(7-8), pages 789-820.
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    1. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    2. Francesca Sgr? & Federica Palazzi & Massimo Ciambotti, 2022. "Business continuity and planning effectiveness: An empirical analysis of Italian manufacturing SMEs," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(3), pages 89-108.

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