Earticle

초록

영어

At the micro perspectives, many studies have identified total shipment quantity, wholesale price at previous day, national holiday effect, as the variables affecting the wholesale price level of stored apple. However, the report of production volume effect at a given year on wholesale price level from the point of macro perspectives in practice, especially in agricultural industry, has been relatively rare. The researchers aimed to try to fill this gap by developing an integrated forecasting model of daily wholesale price with macro and micro variables for a shipment timing support system for stored The result of this study shows that annual apple yield has an impact on daily pricing of apples for the wholesale market. This study contributes to the daily price forecasting modeling with an empirical result that macro variable such as accumulated shipments needs to be included in the STSS modeling.

목차

Abstract
 1. Introduction
 2. Data and Modeling
  2.1. Data
  2.2. Modeling
 3. Results
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Youngsik Kwak [ Department of Venture and Administration, Gyeongnam National University of Science and Technology ]
• Yoonsik Kwak [ Department of Computer Engineering, Korea National University of Transportation ]
• Yoonjung Nam [ Department of Hotel and Tourism Management, Woosong University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605