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Multicriteria Analysis for Improving the Innovation Capability in Small and Medium Enterprises in Emerging Countries

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DOI: 10.4236/ajibm.2014.44027    4,168 Downloads   6,297 Views   Citations

ABSTRACT

In this paper we describe an analytical model to determine the innovation capability of a small and medium enterprise (SME) as the first step towards the continuous improvement of performance in such a dimension of an organization. The model first assesses organizational variables and classifies companies by using the Flowsort? multicriteria method. As second step, the classification module categorizes SMEs into four classes of companies: passive, reactive, proactive, proactive. From this sorting and the subsequent analysis of the variables measured by the survey, it is determined the set of best management practices for innovation that the company needs to implement in order to increase their level of performance. The application of the model to nine companies in Chile is shown along with numerical results. Evaluations show that the classification is consistent with expert judgment and that effectively identifies those areas that contribute most to the increase of the innovation capability in the SMEs.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Sepúlveda, J. and Vasquez, E. (2014) Multicriteria Analysis for Improving the Innovation Capability in Small and Medium Enterprises in Emerging Countries. American Journal of Industrial and Business Management, 4, 199-208. doi: 10.4236/ajibm.2014.44027.

References

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[5] Sepúlveda, J., Vega, C. and González, J. (2012) A Model for Measuring and Sorting the Innovation Capability of Manufacturing Enterprises: An Application in Chile. Proceedings 21st International Conference on Production Research, Stuttgart, 31 July-4 August 2012.
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[8] Nemery, P. and Lamboray, C. (2008) FlowSort: A Flow-Based Sorting Method with Limiting or Central Profiles. TOP, 16, 90-113.
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