首页> 外文期刊>Total Quality Management & Business Excellence >Human Capital, Organizational Learning, Network Resources and Organizational Innovativeness
【24h】

Human Capital, Organizational Learning, Network Resources and Organizational Innovativeness

机译:人力资本,组织学习,网络资源和组织创新

获取原文
获取原文并翻译 | 示例
           

摘要

It has been claimed that with product life-cycles shortening and technologies becoming increasingly imitable, organizational knowledge emerges as a major source of competitive advantage. However, as surveyed by KPMG (2003), 80% of the respondents considered knowledge a strategic asset, while 78% believed that they were currently missing out on business opportunities by failing to successfully exploit their available knowledge. To address this issue, this research aims to examine the main questions: how organizational innovativeness can be achieved by knowledge-based resources? What are the underlying mechanisms that transform intangible assets into organizational innovativeness? More specifically, we suggest that organizational innovativeness depends on its human capital, organizational learning and external network resources. Using a two-group comparison method, we surveyed 126 firms in the hardware industry and 43 firms in the software industry in Taiwan. Because these two industries are characterized by different factors, it allows us to compare the specific causal links between the models and draw a broader inference from the results. Partial Least Squares (PLS) was used to test the theoretical model. The findings broadly support the hypotheses and suggest a number of insights about differences between the hardware and software firms.
机译:据称,随着产品生命周期的缩短和技术的日益普及,组织知识逐渐成为竞争优势的主要来源。然而,根据毕马威(2003)的调查,80%的受访者认为知识是一项战略资产,而78%的受访者认为,当前他们由于未能成功利用现有知识而错过了商机。为了解决这个问题,本研究旨在研究主要问题:如何通过基于知识的资源来实现组织创新?将无形资产转化为组织创新的潜在机制是什么?更具体地说,我们建议组织创新取决于其人力资本,组织学习和外部网络资源。使用两组比较方法,我们对台湾的硬件行业的126家公司和软件行业的43家公司进行了调查。由于这两个行业的特征不同,因此我们可以比较模型之间的特定因果关系,并从结果中得出更广泛的推论。偏最小二乘(PLS)用于测试理论模型。这些发现广泛支持了这些假设,并提出了许多有关硬件和软件公司之间差异的见解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号