Characterizing Viability of Small Manufacturing Enterprises (SME) in the Market
Document Type
Article
Publication Date
1-2008
Department
School of Business
Abstract
This paper examines characteristics of survived small manufacturing enterprises (SMEs) competing to be suppliers to mass merchandisers. It intends to examine various product and management characteristics of small manufacturing enterprises (SME) to determine the critical factors that lead to their long-term survival. Since survey data are usually correlated, fuzzy, inconsistent, and incomplete, we used the adaptive learning network (ALN), an artificial intelligence (AI) technique to build the model. The ALN is non-parametric and known to be much better than multivariate statistical approaches in handling survey data. A sample of over 1600 firms was analyzed in this study to determine the primary factors that are attributable to long-term survival of SMEs and their influences.
DOI
https://doi.org/10.1016/j.eswa.2006.08.009
First Page
128
Last Page
134
Volume
34
Issue
1
ISSN
09574174
Recommended Citation
Kim, K. S., Knotts, T. L., & Jones, S. C. (2008). Characterizing viability of small manufacturing enterprises (SME) in the market. Expert Systems with Applications: An International Journal, 34 (1), 128-134. https://doi.org/10.1016/j.eswa.2006.08.009