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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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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.

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Notes

  1. The European Commission Recommendation 2003/361/EC defines micro, small and medium-sized enterprises according to their staff headcount and turnover or annual balance-sheet total. A medium-sized enterprise is defined as an enterprise which employs fewer than 250 persons and whose annual turnover does not exceed EUR 50 million or whose annual balance-sheet total does not exceed EUR 43 million. A small enterprise is defined as an enterprise which employs fewer than 50 persons and whose annual turnover and/or annual balance sheet total does not exceed EUR 10 million. A micro enterprise is defined as an enterprise which employs fewer than ten persons and whose annual turnover and/or annual balance sheet total does not exceed EUR 2 million.

  2. For instance, an increase in liquidity (financial perspective) allows the firm to hire more employees (social perspective), who may improve product/service quality and, as a result, increase its customer base (competitive perspective).

  3. An in-depth overview of SD methodology can be found in Sterman (2000) and Warren (2002).

  4. For instance, liquidity (a strategic resource) may change as an effect of cash flows (an end-result); the image of a SME towards customers (strategic resources) may change as an effect of their satisfaction (an end-result).

  5. An appendix including all model equations and initial values is available upon request to the authors.

References

  • Bianchi, C. (2002). Introducing SD modeling into planning & control systems to manage SMEs growth: A learning-oriented perspective. Systems thinking and system dynamics in small medium enterprises. System Dynamics Review, 18(3), 315–338.

    Article  Google Scholar 

  • Bianchi, C. (2012). Enhancing performance management and sustainable organizational growth through system-dynamics modelling. In S. N. Grösser & R. Zeier (Eds.), Systemic Management for Intelligent Organizations (pp. 143–161). Berlin: Springer.

    Chapter  Google Scholar 

  • Bianchi, C., Cosenz, F., & Marinkovic, M. (2014). Designing dynamic performance management systems to Foster SME competitiveness according to a sustainable development perspective. Empirical evidences from a case-study. International Journal of Business Performance Management, 16(1), 84–108.

    Article  Google Scholar 

  • Bianchi, C., & Montemaggiore, G. (2008). Enhancing strategy design and planning in public utilities through “dynamic” balanced scorecards: Insights from a project in a city water company. System Dynamics Review, 24(2), 175–213.

    Article  Google Scholar 

  • Bisbe, J., & Malagueño, R. (2012). Using strategic performance measurement systems for strategy formulation: Does it work in dynamic environments? Management Accounting Research, 23(4), 296–311.

    Article  Google Scholar 

  • Brews, P. J., & Hunt, M. R. (1999). Learning to plan and planning to learn: resolving the planning school/learning school debate. Strategic Management Journal, 20, 889–913.

    Article  Google Scholar 

  • Coda, V. (2010). Entrepreneurial values and strategic management: essays in management theory. UK: Palgrave Macmillan.

  • De Geus, A. (1988). Planning as learning. Harvard Business Review, 66(2), 70–74.

    Google Scholar 

  • Forrester, J. W. (1958). Industrial dynamics—A major breakthrough for decision makers. Harvard Business Review, 36(4), 37–66.

    Google Scholar 

  • Gleißner, W., Helm, R., & Kreiter, S. (2013). Measurement of competitive advantages and market attractiveness for strategic controlling. Journal of Management Control, 24(1), 53–75.

    Article  Google Scholar 

  • Hajiheydari, N., & Zarei, B. (2013). Developing and manipulating business models applying system dynamics approach. Journal of Modelling in Management, 8(2), 155–170.

    Article  Google Scholar 

  • Hamel, G., & Prahalad, C. K. (1994). Competing for the future. Boston: Harvard Business School Press.

    Google Scholar 

  • Linard, K., & Dvorsky, L. (2001). People—not human resources: The system dynamics of human capital accounting, paper presented at the Operations Research Society Conference. Bath: University of Bath.

    Google Scholar 

  • Linard, K., Fleming, C., Dvorsky, L. (2002). System dynamics as the link between corporate vision and key performance indicators. Paper presented at the 20th system dynamics international conference, Palermo.

  • Malmi, T., & Brown, D. A. (2008). Management control systems as a package–Opportunities, challenges and research directions. Management Accounting Research, 19(4), 287–300.

    Article  Google Scholar 

  • Maskell, B., & Baggaley, B. (2004). Practical Lean Accounting. New York: Productivity Press.

    Google Scholar 

  • Mastilak, C., Matuszewski, L., Miller, F., & Woods, A. (2012). Evaluating conflicting performance on driver and outcome measures: The effect of strategy maps. Journal of Management Control, 23(2), 97–114.

    Article  Google Scholar 

  • Mintzberg, H. (1993). The pitfalls of strategic planning. California Management Review, 36(1), 32–45.

    Article  Google Scholar 

  • Mintzberg, H. (1994a). Rethinking strategic planning part I: Pitfalls and fallacies. Long Range Planning, 27(3), 12–21.

    Article  Google Scholar 

  • Mintzberg, H. (1994b). Rethinking strategic planning part II: New roles for planners. Long Range Planning, 27(3), 22–30.

    Article  Google Scholar 

  • Mitchell, F., & Reid, G. (2000). Problems, challenges and opportunities: Small business as a setting for management accounting research. Management Accounting Research, 11(4), 385–390.

    Article  Google Scholar 

  • Möller, K., Schläfke, M., & Schönefeld, C. (2011). Wirkungsorientiertes performance management—Typologie und Nutzen von Wirkungsbeziehungen im performance management. Controlling: Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 23(7), 372–379.

    Article  Google Scholar 

  • Morecroft, J. (2007). Strategic modeling and business dynamics. Chichester: Wiley.

    Google Scholar 

  • Nandan, R. (2010). Management accounting needs of SMES and the role of professional accountants: A renewed research agenda. Journal of Management Accounting Research, 8(1), 65–78.

    Google Scholar 

  • OECD. (2014). Financing SMEs and Entrepreneurs (2014). An OECD Scoreboard. doi:10.1787/fin_sme_ent-2014-en.

  • Pekkola, S., & Rantanen, H. (2014). Utilisation of performance measurement information in management: Top manager perspective. International Journal of Business Performance Management, 15(1), 23–34.

    Article  Google Scholar 

  • Perren, L., & Grant, P. (2000). The evolution of management accounting routines in small businesses: A social construction perspective. Management Accounting Research, 11(4), 391–411.

    Article  Google Scholar 

  • Richmond, B. (2001). A new language for leveraging scorecard-driven learning. Reprinted from “Balanced Scorecard Report”. Harvard Business School Publishing, 3(1), 11–14.

    Google Scholar 

  • Ritchie-Dunham, J.L. (2001). Informing mental models for strategic decision making with ERPs and the balanced scorecard: a simulation-based experiment. In Proceedings of the 19th System Dynamics International Conference, Atlanta.

  • Schultze, W., & Trommer, R. (2012). The concept of environmental performance and its measurement in empirical studies. Journal of Management Control, 22(4), 375–412.

    Article  Google Scholar 

  • Sloper, P., Linard, K., Paterson, D. (1999). Towards a dynamic feedback framework for public sector performance management. In Proceedings of the 17th International System Dynamics Conference, Wellington.

  • Sterman, J. D. (2000). Business dynamics systems thinking and modeling for a complex world. London: McGraw-Hill.

    Google Scholar 

  • Storey, D. (1994). Understanding the small business sector. London: International Thompson Business Press.

    Google Scholar 

  • Tilt, C.A. (2010). Corporate responsibility, accounting and accountants. In S.O. Idowu, W. Leal Filho (Eds.), Professionals’ Perspectives of Corporate Social Responsibility (pp. 11–32). Berlin: Springer.

  • Vennix, J.A.M., Gubbels, J.W. (1994). Knowledge elicitation in conceptual model building: a case study in modelling a regional Dutch health care system. In J.D.W. Morecroft, J.D. Sterman (Eds.), Modeling for Learning Organizations (pp. 121–145). Chennai: Productivity Press.

  • Warren, K. (2002). Competitive strategy dynamics. Chichester: Wiley.

  • Warren, K. (2008). Strategic management dynamics. Chichester: Wiley.

    Google Scholar 

  • Weber, J. (2011). The development of controller tasks: Explaining the nature of controllership and its changes. Journal of Management Control, 22(1), 25–46.

    Article  Google Scholar 

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Correspondence to Federico Cosenz.

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Cosenz, F., Noto, L. Combining system dynamics modelling and management control systems to support strategic learning processes in SMEs: a Dynamic Performance Management approach. J Manag Control 26, 225–248 (2015). https://doi.org/10.1007/s00187-015-0208-z

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