• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2013, Vol. ›› Issue (7): 1050-1059.

• 科技管理与知识管理 • 上一篇    下一篇

企业吸收能力重构与外部知识环境和绩效的关系研究

陈茵1,徐二明2   

  1. 1. 北京外国语大学国际商学院
    2. 中国人民大学
  • 收稿日期:2012-12-21 修回日期:2013-05-20 出版日期:2013-07-15 发布日期:2013-07-12
  • 通讯作者: 陈茵
  • 基金资助:
    东北老工业基地高新技术产业与装备制造业协调发展研究;国家体育总局体育哲学社会科学研究项目

Restructuring Absorptive Capacity for Performance under Different Knowledge Environments

  • Received:2012-12-21 Revised:2013-05-20 Online:2013-07-15 Published:2013-07-12

摘要: 自“吸收能力”诞生以来,其研究视角正在逐渐转变。近三年来吸收能力与外部环境之间的动态演进成为研究主流。此研究在国外最新研究理论的基础上进一步提出,鉴于企业资源的有限性和学习成本,企业不可能将其吸收子能力全部保持在巅峰水平,而需要根据外部环境的不同,对子能力进行选择性投资,利用它们特定的组合推进企业的创新绩效和财务绩效;这个过程从整体上来看便是企业吸收能力随环境变化而进行的动态重构。文章采用实证研究的方法,在113个企业样本的基础上进行统计分析,研究结果支持上述假设;同时还证明,外部知识环境也影响沟通机制对吸收能力的作用。本文的理论创新点在于从动态能力的角度研究企业吸收能力,指出其内部构成随环境变化的模式,以及沟通机制在其间的作用。此外,企业管理者可以根据对外部知识环境显隐性的判断,对吸收子能力进行选择性投资,以达到资源的最佳配置。

关键词: 吸收能力, 创新绩效, 财务绩效, 知识环境, 动态能力, Absorptive Capacity, Innovation, Financial Performance, Knowledge Environment, Dynamic Competency

Abstract: Since the introduction of absorptive capacity as an important construct to understand firms’ learning behavior, studies in this field have undergone a gradual transformation in the last three years. Absorptive capacity has been increasingly viewed as a dynamic competency that evolves over time with environment. From a dynamic competency view of learning, this article aims to discover whether firms restructure their absorptive capacity to improve innovation and financial performance under different knowledge environments. Data from a survey conducted in 113 firms confirms the above hypothesis. It contributes to the literature by confirming empirically that firms need the synergies from absorptive capacity subsets to achieve optimal performance. Besides, this article further details what combinations of absorptive capacity subsets firms use as the tacitness of their knowledge environment varies. This lends important insights into how firms survive the tension between resource constraints and learning. Business practitioners can also use those findings to optimize their resource investments and improve learning efficiency.

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