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Combining system dynamics modelling and management control systems to support strategic learning processes in SMEs: a Dynamic Performance Management approach

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  • Federico Cosenz
  • Lidia Noto

Abstract

Traditional management control systems, mainly centred on accounting-based measures, are widely recognized as useful tools to support Small and Medium Enterprises (SMEs) managers and entrepreneurs in steering business development. However, due to the increasing turbulence and dynamic complexity that characterize today’s competitive arenas, such systems need to be combined with simulation-based methodologies in order to improve entrepreneurial learning processes and, as a result, better detect possible crisis symptoms and weak signals of change—emerging from the business environment—to promptly react. Therefore, the aim of this paper is to show how a combination of traditional management control mechanisms with system dynamics modelling can effectively lead to better results in terms of SMEs’ performance measurement and management. As a result, a Dynamic Performance Management approach will be illustrated and discussed, also through an empirical application to a real small business. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Federico Cosenz & Lidia Noto, 2015. "Combining system dynamics modelling and management control systems to support strategic learning processes in SMEs: a Dynamic Performance Management approach," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 225-248, August.
    • Handle: RePEc:spr:jmgtco:v:26:y:2015:i:2:p:225-248
    DOI: 10.1007/s00187-015-0208-z
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    References listed on IDEAS

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    1. Ossi Pesämaa, 2017. "Personnel- and action control in gazelle companies in Sweden," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(1), pages 107-132, February.
    2. Antonio Duréndez & Julio Dieguez-Soto & Antonia Madrid-Guijarro, 2023. "The influence of CEO’s financial literacy on SMEs technological innovation: the mediating effects of MCS and risk-taking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-26, December.
    3. Anja Heinicke, 2018. "Performance measurement systems in small and medium-sized enterprises and family firms: a systematic literature review," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(4), pages 457-502, February.
    4. Saroj Koul & Ivan W. Taylor & Oluwabunmi A. Falebita & Takuma Ono & Rowland Chen & Mia T. Vogel, 2022. "Examining the success of women of color-owned small and medium-sized enterprises in the United States: A system dynamics perspective," International Entrepreneurship and Management Journal, Springer, vol. 18(4), pages 1373-1401, December.
    5. Malesios, Chrisovalantis & De, Debashree & Moursellas, Andreas & Dey, Prasanta Kumar & Evangelinos, Konstantinos, 2021. "Sustainability performance analysis of small and medium sized enterprises: Criteria, methods and framework," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    6. Erland Hejn Nielsen & Steen Nielsen, 2020. "Preparing students for careers using business analytics and data-driven decision making," Economics Working Papers 2020-08, Department of Economics and Business Economics, Aarhus University.
    7. Malesios, Chrisovalantis & De, Debashree & Moursellas, Andreas & Dey, Prasanta & Evangelinos, Konstantinos, 2019. "Review of Statistical Modeling Approaches for Sustainability Analysis of Small and Medium sized Enterprises," MPRA Paper 93028, University Library of Munich, Germany.

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