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Original Articles

Evaluation of Knowledge Strategies in the Indian Software Industry

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Pages 148-170 | Accepted 01 Apr 2008, Published online: 11 Oct 2008
 

ABSTRACT

The purpose of this paper is to construct and validate a tool that measures the knowledge strategies in software organizations in India. The knowledge strategies discussed in this paper are based on the characteristics of organizational learning typology, which are classified as consolidators, transformers and co-inventors. This tool measures the extent to which the software organizations practice the consolidator strategy, transformer strategy, and co-inventor strategy. Data were collected from 39 software companies in India. The tool was tested for psychometric properties such as unidimensionality, validity, and reliability. These properties of the tool are at a very acceptable level in view of the confirmatory fit index (CFI), Bentler Bonett Coefficient, and Cronbach's alpha, which are above the recommended minimum values. Descriptive statistics were tested to quantify the extent to which knowledge strategies were being practiced across the software companies in India. ANOVA was performed to see the role of organization size and age in view of knowledge strategies. Significant differences were observed in knowledge strategies based on the organization's size and age.

Notes

p < 0.001.

p < 0.001.

Additional information

Notes on contributors

P. Arun Prasad

P. Arun Prasad is a Research Scholar, in the Department of Management Studies, Indian Institute of Technology Madras, Chennai, India.

T. J. Kamalanabhan

T. J. Kamalanabhan is a Professor, in the Department of Management Studies, Indian Institute of Technology Madras, Chennai, India.

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