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Growth and Knowledge Management Strategy of Indian Commercial Banks: A Non-Parametric Approach

机译:印度商业银行的增长和知识管理策略:非参数方法

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摘要

In this paper the author derived short run and long run optimum growth paths from short run and long run growth frontiers using Data Envelopment Analysis (DEA) and investigated the contributing growth factors for all banks also banks segregated into different groups both in short run and long run perspective. The author’s short run as well as long run findings strongly support the role knowledge capital as an important contributor to augment growth for all categories of banks. Knowledge capital forces the firms to adopt heterogeneous strategies results in heterogeneity in performance caused by barriers to imitation and inability of the firms to change the dynamic resource endowments quickly. On the contrary the finding supports the view that firm specific dynamic capabilities acquired through efficient knowledge management acts as a strategic variable for influencing performance of Indian commercial banks.
机译:在本文中,作者使用数据包络分析(DEA)从短期和长期增长前沿得出了短期和长期的最佳增长路径,并研究了所有银行的短期和长期分离增长的贡献因素。运行角度。作者的短期和长期研究结果都强烈支持知识资本作为促进各类银行增长的重要贡献者的作用。知识资本迫使企业采用异类策略,导致绩效异质性,这是由于模仿障碍和企业无法快速改变动态资源end赋所致。相反,这一发现支持这样一种观点,即通过有效的知识管理获得的公司特定的动态能力是影响印度商业银行业绩的战略变量。

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