Computational and Mathematical Organization Theory | 2021

Innovation capabilities measurement using fuzzy methodologies: a Colombian SMEs case

 
 
 
 

Abstract


The main aim of this paper is to establish the hidden incidences that can improve specific aspects of beekeeper Small and Medium Enterprises (SME) innovation capabilities in Boyaca-Colombia. The methodology is focused on the use of the expertons model, adequacy coefficient and forgotten effects theory. A questionnaire of 58 items about different innovation management areas is distributed to 14 beekeeper SMEs in the area of Boyaca-Colombia. The findings suggest that there are two specific actions that can improve innovation culture. These actions are related to marketing strategies and product innovation. The innovation strategy has a significant influence on the development of an innovative culture in the beekeeper SMEs; one must have a clear orientation to the innovation objectives in the marketing strategy, which is transferred to the product. Likewise, the utility of fuzzy methods for analysis when information is limited, subjective and scarce is highlighted. Finally, this research can be useful to practitioners and academics because the findings can serve as guidelines to understanding sources and enablers of innovation. In addition, the findings show how fuzzy methods help in contending with incomplete and subjective information, highlighting the meaning of the information rather than its measurement.

Volume None
Pages None
DOI 10.1007/s10588-020-09321-w
Language English
Journal Computational and Mathematical Organization Theory

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