大数据环境特征对IT外包项目绩效的影响——基于资源编排理论视角

发布时间：2018-04-21 12:28

本文选题：大数据易得性 + 大数据冗杂性　；参考：《科技进步与对策》2017年04期

【摘要】：对知识密集型的IT外包行业来说,大数据环境成为接包企业潜在的知识来源。然而,大数据环境是否真的促进IT接包项目绩效?如何从中获益?现有文献对这些问题缺乏研究。基于资源编排理论,探讨了大数据易得性和冗杂性对IT接包项目绩效的直接影响,检验了功能组合和专项突破两种软件开发策略的调节作用,提出6条假设,采用195个IT外包项目数据进行检验。研究发现,大数据易得性显著提高接包项目绩效,而大数据冗杂性显著降低项目绩效;功能组合策略增强而专项突破策略削弱了大数据易得性对项目绩效的促进作用;两种开发策略对大数据冗杂性与项目绩效关系的调节作用不显著。
[Abstract]:For knowledge-intensive IT outsourcing industry, big data environment has become a potential knowledge source for contracting enterprises. However, does big data environment really promote IT contracting project performance? How to benefit from it? There is a lack of research on these issues in the available literature. Based on the theory of resource arrangement, this paper probes into the direct influence of big data's accessibility and jumble on the performance of IT contracting projects, tests the regulative effect of two kinds of software development strategies: function combination and special breakthrough, and puts forward six hypotheses. Use 195 IT outsourcing project data to test. The study found that big data's ease of access significantly improved the performance of the contracting project, while big data's jumbled nature significantly reduced the project's performance, and the enhancement of the function combination strategy and the special breakthrough strategy weakened the promoting effect of big data's accessibility on the project performance. The two development strategies have no significant effect on the relationship between big data's jumbled nature and project performance.
【作者单位】：西安交通大学管理学院;西安理工大学经济与管理学院;
【基金】：国家自然科学基金重点项目(71132006);国家自然科学基金面上项目(71572142) 教育部人文社会科学研究青年基金项目(11YJC630040)
【分类号】：F49

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