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Typology Analysis of Performance Models of Small and Medium-Size Enterprises (SMEs)

Abouzeedan, Adli, 1955- (author)
Amana Commercial Consultants, Partille, Sweden
Busler, Michael (author)
Pennsylvania State University, Great Valley Graduate Center, Malvern, PA 19355, USA
 (creator_code:org_t)
SpringerLink, 2004
2004
English.
In: International Journal of Entrepreneurship. - : SpringerLink. - 1099-9264 .- 1939-4675. ; 2:1-2, s. 155-177
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A number of firm performance models are available. Reviewing these models and pointing out their individual strengths and weaknesses, would help both academic researchers and professional users to understand and appreciate how and when to use these various models. The theoretical models for Small and Medium-size Enterprise (SME) performance can be divided into two categories: firm dynamics theories and performance prediction models. In the first part of this paper we review, in a condensed manner, the most relevant firm dynamic theories, i.e. SME's performance models. These include: Stochastic Theories, Learning Model Theories and Hazard Modeling Theories. In the second part of this paper, we examine the performance prediction models of SMEs, which include Z-Scores, ZETA-Scores, Neural Networks (NN) and the SIV® models, among others. The strengths and weaknesses of each of these models are exposed and discussed.

Subject headings

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv (hsv//swe)
SOCIAL SCIENCES  -- Economics and Business (hsv//eng)

Keyword

small and medium-size enterprises - survival index value - SIV® model - Z-scores - neural networks
Business and economics
Ekonomi

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