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Data Analytics and Knowledge Integration Mechanisms: The Role of Social Interactions in Innovation Management

机译:数据分析和知识整合机制:社会互动在创新管理中的作用

摘要

In a firm, which is viewed as a distributed knowledge system, the role of knowledge integration mechanisms is critical. In the context of data analytics, data mining and statistical analysis enables firms to generate knowledge; which, however, needs to be channeled to the end user of this knowledge. In this study, based on the social capital literature we argue that social interactions between IT and marketing functional unit members facilitate knowledge sharing in intraorganizational setting, which in turn results in improved innovative performance. The theoretical arguments are supported by empirical results collected via an online survey. Theoretical and practical contributions of the study are also discussed.
机译:在被视为分布式知识系统的公司中,知识整合机制的作用至关重要。在数据分析的背景下,数据挖掘和统计分析使公司能够产生知识;但是,需要将其传递给此知识的最终用户。在这项研究中,基于社会资本文献,我们认为IT与营销职能部门成员之间的社会互动促进了组织内部环境中的知识共享,从而提高了创新绩效。通过在线调查收集的经验结果为理论论证提供了支持。还讨论了这项研究的理论和实践贡献。

著录项

  • 作者单位
  • 年度 2018
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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 入库时间 2022-08-31 16:24:41

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