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Small and Medium Enterprises’ Risk Modeling

Author

Listed:
  • Shahryar Sorooshian

    (Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia,)

  • Nursofea Iman Ahmad Suffian

    (Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia.)

Abstract

Small and medium enterprises (SMEs) in Malaysia keep failing year to year due to economic fluctuation and challenges. This affects the industry and economy growth of Malaysia. This research was conducted to identify criteria of performance prediction model that can predict success or failure risk of SMEs and to develop the predictive model, based on logit regression method, for SMEs of Malaysia. Developing a model of logit regression is by using the four perspectives of the balanced scorecard approach. The four perspectives are independent variables, including the success and failure of SMEs as the dependent variable. The variables would help in developing the model through Statistical Package for the Social Science. data software to gain the binomial regression results. The modeled result is based on the probability of the SME success and bankruptcy risk, useful for policy makers.

Suggested Citation

  • Shahryar Sorooshian & Nursofea Iman Ahmad Suffian, 2017. "Small and Medium Enterprises’ Risk Modeling," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 197-201.
  • Handle: RePEc:eco:journ3:2017-02-29
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    References listed on IDEAS

    as
    1. T.F. Burgess & T.S. Ong & N.E. Shaw, 2007. "Traditional or contemporary? The prevalence of performance measurement system types," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(7), pages 583-602, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Risk; Success; Probability; Small and Medium Enterprise; Business Administration;
    All these keywords.

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration

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