Small and Medium Enterprises’ Risk Modeling

Shahryar Sorooshian and Nursofea Iman Ahmad Suffian
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Shahryar Sorooshian: Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia,
Nursofea Iman Ahmad Suffian: Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia.

International Review of Management and Marketing, 2017, vol. 7, issue 2, 197-201

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.

Keywords: Risk; Success; Probability; Small and Medium Enterprise; Business Administration (search for similar items in EconPapers)
JEL-codes: M1 (search for similar items in EconPapers)
Date: 2017
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