大数据环境特征对IT外包项目绩效的影响

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。

Big Data Environment and IT Outsourcing Vendor's Project Performance: A Resource Orchestration Theory Perspective

IT outsourcing industry is knowledge intensive. The external big data environment is becoming a potential knowledge source of vendors. However, is the big data environment really promoting the vendors' IT outsourcing project performance? How should project benefit from it? There is absence in extant literatures on these issues. This study based on the resource orchestration theory, explores the direct impacts of the data availability and poor quality of big data on IT outsourcing project performance, and also tests the moderating effects of function recombination development and modular technology breakthrough development strategies.195 IT outsourcing project data is collected to examine 6 hypotheses. The results show that big data availability significantly increases outsourcing project performance, but poor quality of big data significantly reduces project performance. Function recombination development positively but modular technology breakthrough development strategy negatively moderates the relationship between the big data availability and project performance. Both of the two development strategies have non-significant moderating effect on the relationship between the poor quality of big data and project performance.