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供应商关系品质对政府采购绩效影响研究 被引量:3

Empirical Study on the Impact of the Supplier Relationship Quality on the Government Procurement Performance
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摘要 供应商关系品质对政府采购绩效起着非常重要的作用,通过采用SPSS建模方法,可以分析其如何影响政府采购绩效。供应商和用户的关系品质主要包括信任、满意和承诺三个维度;政府采购绩效,通过管理绩效、财务绩效和社会绩效三个维度来衡量。研究结果表明供应商关系品质对政府采购绩效具有正向显著的影响。因此,政府采购首先要对供应商采取信任的态度、全面加强与供应商的关系、承诺要尽可能保证实现不故意放大承诺效应;改进与供应商的关系品质和协调自身的关系治理,应关注提升自己的实力和产品或服务的质量;政府采购管理者需要较为全面地考虑供应商关系交互情境及其他因素的影响作用。 The supplier relationship quality plays a very importance role. From the perspective of the supplier relationship quality, this paper adopts the SPSS modeling method to analyze how it will affect the government procurement performance. The supplier - customer relationship quality mainly consists of the three dimensions of trust, satisfaction and commitment; the government procurement performance is measured by the three dimensions of management performance, financial performance and social perform- ance. The research results show that the supplier relationship quality has a significant positive impact on the government procurement performance. Therefore, government procurement should firstly adopt a trust attitude toward the supplier, comprehensively strengthen its relationship with the supplier and promises to make great efforts not to deliberately amplify the commitment effect; efforts should be made to improve the relationship quality with the supplier and coordinate its own relationship management, and attention should be paid to improve its own strength and the productor service quality; the government procurement manager should comprehensively consider the interaction of the supplier relationship and the impact of other factors.
作者 王宏
机构地区 上海
出处 《社会科学》 CSSCI 北大核心 2012年第8期52-58,共7页 Journal of Social Sciences
基金 国家自然科学基金委2011年青年科学基金项目“创新公共政策中政府技术采购的决策与评价模型研究”(项目编号:71103032) 上海市哲学社会科学规划办公室2010年一般课题“政府技术采购机理及实施路径研究”(项目编号:2010BJB014) 2011年中央高校基本科研业务费专项资金重点计划项目“基于国家创新能力的政府技术采购实现机制研究”(项目编号:2011B11D10801)的阶段性成果
关键词 政府采购绩效 关系品质 供应商 Spearman相关分析 Government Procurement Performance Relationship Quality Supplier Spearman Corre-lation Analysis
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