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학술논문

Analysis of Preceding Study on Domestic Turnover Predicting Model

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영문명
발행기관
한국유통과학회
저자명
Chang Beom Jin Myoung Kil Youn
간행물 정보
『KODISA ICBE (International Conference on Business and Economics)』2016 International Conference on Business and Economics (ICBE 2016), 59~60쪽, 전체 2쪽
주제분류
경제경영 > 경제학
파일형태
PDF
발행일자
2016.06.30
무료

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영문 초록

In this study, turnover estimation study through analysis of commercial sphere was intended to be analyzed by estimating turnover that is desired to be occupied by outlets in commercial sphere. In addition, its objective is to develop new business launching strategy model based on outlet location analysis and apply it to practical work. Among the studies of location and commercial sphere analysis, theses by statistical analysis were excluded as they are belonged to marketing theses rather than location and commercial sphere analysis and studies that just focused on location and commercial sphere analysis only were selected and analyzed. In this study, correlation between dependent variable and independent variable of turnover estimating model was established by focusing on market environment change rather than verifying preceding research model. Through this study, it was implied that a model could be developed in diversified areas with researchers who estimate detailed turnover by deducing theoretically established result as an empirical data. Therefore, it is hoped by this opportunity that regionally specialized turnover estimation model that may be applied to distribution field and commercial sphere would be developed by quantifying diversified turnover environment variables.

목차

Abstract
1. Introduction
2. Comparison of Difference between Studies Relevant to Location and Commercial Sphere Analysis Theory
3. Conclusion
References

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APA

Chang Beom Jin,Myoung Kil Youn. (2016).Analysis of Preceding Study on Domestic Turnover Predicting Model. KODISA ICBE (International Conference on Business and Economics), 2016 (1), 59-60

MLA

Chang Beom Jin,Myoung Kil Youn. "Analysis of Preceding Study on Domestic Turnover Predicting Model." KODISA ICBE (International Conference on Business and Economics), 2016.1(2016): 59-60

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