The day-of-the week effects for cloud-based shipment timing support system for stored applesopen access
- Authors
- Kwak, Y.; Nam, Y.
- Issue Date
- 2012
- Keywords
- Cloud-based shipment timing support system modeling; Day-of-the effect; Stored apples
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.7513 LNCS, pp 248 - 255
- Pages
- 8
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Volume
- 7513 LNCS
- Start Page
- 248
- End Page
- 255
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/23240
- DOI
- 10.1007/978-3-642-35606-3_29
- ISSN
- 0302-9743
1611-3349
- Abstract
- The purpose of this study is to empirically analyze whether the wholesale price of apples sold in the Korean action-based wholesale market is statistically significantly different at the aggregate and disaggregate levels, or not. It means that the researchers in this study empirically analyzed to identify day-of-the-week effects in Korean wholesale price of apples. The results of this study showed that, when shipped by the order of Monday, Thursday, Wednesday, Friday, Tuesday, and Saturday, the apples can be sold with higher prices, with statistical significance. Monday recorded the highest price while Saturday recorded the lowest price. Based on the results of this study, the growers and sellers of apples may control shipping time so that the apples are sold by auction on days of the week when their profits are maximized. Also, when the day-of-the-week effects is applied to the modeling of supporting system for the apple shipping period presented by the previous studies, more accurate system for shipping period can be constructed. Such system can be used by the growers or sellers of apples at the cloud base. ? IFIP International Federation for Information Processing 2012.
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Collections - College of Business Administration > 경영학부 > Journal Articles

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