| Research on the Impact Indicator System of E-Commerce Innovation Experimental Teaching-Deep Fusion Evaluation Method Based on EWM-AHP |
| Wang, Wanyu; Li, Qiang
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| 2020
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会议名称 | 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E)
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会议录名称 | 2020 11TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT, AND E-LEARNING (IC4E 2020)
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页码 | 290-295
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会议日期 | JAN 10-12, 2020
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会议地点 | Ritsumeikan Univ, Osaka, JAPAN
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会议录编者/会议主办者 | Ritsumeikan University
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出版地 | NEW YORK
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出版者 | ASSOC COMPUTING MACHINERY
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摘要 | Aiming at the many influence factors of innovation experimental teaching in Electronic Commerce, using EWM (Entropy Weight Method) and AHP (Analytic Hierarchy Process) deep fusion evaluation method to obtain the comprehensive influence weight of each factor. At the same time, according to the practice of experimental teaching and the data of evaluation and analysis, a series of opinions and suggestions on innovative experimental teaching are proposed, which provides the basis for the teaching reform decision of electronic commerce majors in colleges and universities. The accuracy of EWM-AHP deep fusion evaluation method is better than that of single method, which has strong scientific, reliable, theoretical and practical significance. |
关键词 | Electronic commerce
experimental teaching
EWM
AHP
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DOI | 10.1145/3377571.3377572
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收录类别 | CPCI-S
; EI
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语种 | 英语
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WOS研究方向 | Computer Science
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WOS类目 | Computer Science, Information Systems
; Computer Science, Interdisciplinary Applications
; Computer Science, Software Engineering
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WOS记录号 | WOS:000634511100055
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EI入藏号 | 20204709503383
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EI主题词 | Electronic commerce
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EI分类号 | 723.5 Computer Applications
; 922.2 Mathematical Statistics
; 961 Systems Science
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原始文献类型 | Proceedings Paper
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引用统计 |
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文献类型 | 会议论文
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条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/30207
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专题 | 电子商务综合实验室
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作者单位 | Lanzhou Univ Finance & Econ, 496 Chengguan Sect, Lanzhou, Peoples R China
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推荐引用方式 GB/T 7714 |
Wang, Wanyu,Li, Qiang. Research on the Impact Indicator System of E-Commerce Innovation Experimental Teaching-Deep Fusion Evaluation Method Based on EWM-AHP[C]//Ritsumeikan University. NEW YORK:ASSOC COMPUTING MACHINERY,2020:290-295.
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