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http://dx.doi.org/10.17662/ksdim.2019.15.4.197

The Difference Analysis between Maturity Stages of Venture Firms by Classification Techniques of Big Data  

Jung, Byoungho (한국외국어대학교 경영정보학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.15, no.4, 2019 , pp. 197-212 More about this Journal
Abstract
The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.
Keywords
Big Data; Data Minning; Venture Firm; Firm Maturity Stage; Classification Methods;
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Times Cited By KSCI : 1  (Citation Analysis)
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