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当代大学生政党认同影响因素的实证研究——基于湖北省6所高校的抽样调查分析 被引量:3
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作者 石庆新 《中国青年研究》 CSSCI 北大核心 2017年第2期78-83,119,共7页
为探讨当前大学生政党认同的影响因素,本研究采用整群分层抽样的方式在湖北省的6所高校对543名大学生进行了问卷调查。研究结果显示,我国大学生政党认同的整体水平较高,同时也发现我国大学生的政党认同遵循"理性选择"的原则,... 为探讨当前大学生政党认同的影响因素,本研究采用整群分层抽样的方式在湖北省的6所高校对543名大学生进行了问卷调查。研究结果显示,我国大学生政党认同的整体水平较高,同时也发现我国大学生的政党认同遵循"理性选择"的原则,执政党自身建设可促进政党认同水平的提升,意识形态教育对政党认同具有显著影响。当前增强大学生的政党认同,应进一步提升大学生的"获得感",强化他们的未来预期;应持续推进执政党自身建设,将"全面从严治党"向基层延伸;应注重理想信念引导,提升思想政治理论教学的有效性。 展开更多
关键词 政党认同 获得感 共享预期 从严治党
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RESEARCH ON VALUE OF INFORMATION SHARING IN ONE SUPPLIER-MULTIPLE RETAILER SUPPLY CHAIN 被引量:2
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作者 ZHUANGPin WANGNing-sheng 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2004年第2期122-127,共6页
Prior research has generally focused on models involving a single or multiple retailers with independent demands. The value of demand information sharing is analyzed in a two-level supply chain involving one supplier-... Prior research has generally focused on models involving a single or multiple retailers with independent demands. The value of demand information sharing is analyzed in a two-level supply chain involving one supplier-multiple retailer model in which retailer demands may be correlated. Each member in the supply chain forecasts its demand using an AR (1) demand process. Two conditions of the information sharing are considered (1) Without the information sharing, the retailers only communicate their orders to the supplier. (2) With the information sharing, retailers communicate their orders and forecasting models to the supplier. Analyses showthat the reductions of supplier's average inventory and average costs are substantial with the information sharing. However, the retailers donot get direct benefit from the information sharing. The retailers may ask the supplier to reduce the replenishment leadtime, so that the retailers will obtain substantial cost savings and inventory reduction. Both partners may obtain benefits when information sharing and leadtime reduction are implemented together. 展开更多
关键词 supply chain information sharing demand forecast leadtime
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