QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Decision support system for purchasing management of seasonal products: A capital-constrained retailer perspective 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2017, 卷号: 80, 页码: 171-182 作者:  Shi, Jinzhao;  Guo, Ju'e;  Fung, Richard Y. K. 收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26 Decision support system  Inventory decision  Seasonal products  Purchase timing  Capital constraint   Optimal Ordering and Pricing Policies for Seasonal Products: Impacts of Demand Uncertainty and Capital Constraint 期刊论文 DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2016, 期号: [db:dc_citation_issue] 作者:  Shi, Jinzhao;  Fung, Richard Y. K.;  Guo, Ju'e 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 DEVELOPING UNCONVENTIONAL OIL AND GAS RESOURCES IN CHINA: A CONCEPTUAL ANALYSIS FRAMEWORK 会议论文 作者:  Wang, Shubin;  Guo, Ju'e;  Shi, Jinzhao;  Liu, Zihan 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 technology learning curve  resource landscape  challenge  unconventional resource  analytical framework   Credit risk evaluation of online supply chain finance based on third-party B2B E-commerce platform: An exploratory research based on China’s practice 期刊论文 International Journal of u- and e- Service, Science and Technology, 2015, 卷号: 8, 期号: [db:dc_citation_issue], 页码: 93-104 作者:  Shi, Jinzhao;  Guo, Ju’e;  Wang, Shubin;  Wang, Zhanhao 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 B2B  Credit risk evaluation  Evaluation modeling  Online supplies  Theil indices   The research on demands and development strategy of mobile travel service--an empirical study based on chinese scenic spot 期刊论文 International Journal of Multimedia and Ubiquitous Engineering, 2014, 卷号: 9, 期号: [db:dc_citation_issue], 页码: 297-308 作者:  Miao, Miao;  Shi, Jinzhao;  Chen, Yanfeng 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Demands  Development strategies  Industrial development  Mobile information services  Mobile travel  One-way anova  PCA  PCA (principal component analysis)