Garment E-Commerce Forecast Based on Grey Model
Garment e-commerce sales forecast is important for the e-business development strategy planning and the integration of garment supply chain upstream and downstream enterprises. GDP, per capita consumption expenditure of urban residents, the total retail sales of consumer goods, the number of interne...
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| creator | Hongqi Hui Yidan Zu |
| description | Garment e-commerce sales forecast is important for the e-business development strategy planning and the integration of garment supply chain upstream and downstream enterprises. GDP, per capita consumption expenditure of urban residents, the total retail sales of consumer goods, the number of internet users are selected as economic forecast indexes. On the basis of grey incidence degree, close correlation indexes are chosen to establish multi-variable grey model to forecast. In consideration of the historical data of garment e-commerce not being obtained, experts' estimation is cooperated. By many iterative fitting on grey model, the credible garment e-commerce forecast amount is calculated. A case analysis of Hebei Garment e-commerce is provided for illustrative purposes. |
| doi_str_mv | 10.1109/ICISE.2009.618 |
| format | Conference Proceeding |
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GDP, per capita consumption expenditure of urban residents, the total retail sales of consumer goods, the number of internet users are selected as economic forecast indexes. On the basis of grey incidence degree, close correlation indexes are chosen to establish multi-variable grey model to forecast. In consideration of the historical data of garment e-commerce not being obtained, experts' estimation is cooperated. By many iterative fitting on grey model, the credible garment e-commerce forecast amount is calculated. 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GDP, per capita consumption expenditure of urban residents, the total retail sales of consumer goods, the number of internet users are selected as economic forecast indexes. On the basis of grey incidence degree, close correlation indexes are chosen to establish multi-variable grey model to forecast. In consideration of the historical data of garment e-commerce not being obtained, experts' estimation is cooperated. By many iterative fitting on grey model, the credible garment e-commerce forecast amount is calculated. A case analysis of Hebei Garment e-commerce is provided for illustrative purposes.</description><subject>Economic forecasting</subject><subject>Economic indicators</subject><subject>Electronic commerce</subject><subject>Internet</subject><subject>Marketing and sales</subject><subject>Predictive models</subject><subject>Statistics</subject><subject>Supply chains</subject><subject>Technology forecasting</subject><issn>2160-1283</issn><isbn>142444909X</isbn><isbn>9781424449095</isbn><isbn>9780769538877</isbn><isbn>0769538878</isbn><isbn>9781424457281</isbn><isbn>1424457289</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjj1Lw1AUhq-oYK1ZXVzyB5Kec7_PqCFNAxUHO7iV2-QEIk0jN1n67w0o7_AsDw-vEM8IOSLQpi7qzzKXAJRb9DciIefBWTLKe-duxSNqqbUmoK87sZJoIUPp1YNIpukbABQuvnYrsalCHPgyp2VWjMPAseF0O0ZuwjSnb2HiNh0vaRX5mr6PLZ-fxH0XzhMn_1yLw7Y8FLts_1HVxes-6wnmzBKDQXbB04mJlKLldOes6wgweOu07RAckKOmCyh166UhI2UwzQlbVmvx8pftmfn4E_shxOvR6GVGql9250Ms</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Hongqi Hui</creator><creator>Yidan Zu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Garment E-Commerce Forecast Based on Grey Model</title><author>Hongqi Hui ; Yidan Zu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-69e051e7a89be99339109f767f901a86746f1070979cfa124d8259522a5cb1de3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Economic forecasting</topic><topic>Economic indicators</topic><topic>Electronic commerce</topic><topic>Internet</topic><topic>Marketing and sales</topic><topic>Predictive models</topic><topic>Statistics</topic><topic>Supply chains</topic><topic>Technology forecasting</topic><toplevel>online_resources</toplevel><creatorcontrib>Hongqi Hui</creatorcontrib><creatorcontrib>Yidan Zu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hongqi Hui</au><au>Yidan Zu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Garment E-Commerce Forecast Based on Grey Model</atitle><btitle>2009 First International Conference on Information Science and Engineering</btitle><stitle>ICISE</stitle><date>2009-12</date><risdate>2009</risdate><spage>2936</spage><epage>2939</epage><pages>2936-2939</pages><issn>2160-1283</issn><isbn>142444909X</isbn><isbn>9781424449095</isbn><eisbn>9780769538877</eisbn><eisbn>0769538878</eisbn><eisbn>9781424457281</eisbn><eisbn>1424457289</eisbn><abstract>Garment e-commerce sales forecast is important for the e-business development strategy planning and the integration of garment supply chain upstream and downstream enterprises. GDP, per capita consumption expenditure of urban residents, the total retail sales of consumer goods, the number of internet users are selected as economic forecast indexes. On the basis of grey incidence degree, close correlation indexes are chosen to establish multi-variable grey model to forecast. In consideration of the historical data of garment e-commerce not being obtained, experts' estimation is cooperated. By many iterative fitting on grey model, the credible garment e-commerce forecast amount is calculated. A case analysis of Hebei Garment e-commerce is provided for illustrative purposes.</abstract><pub>IEEE</pub><doi>10.1109/ICISE.2009.618</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| subjects | Economic forecasting Economic indicators Electronic commerce Internet Marketing and sales Predictive models Statistics Supply chains Technology forecasting |
| title | Garment E-Commerce Forecast Based on Grey Model |
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