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Showing papers by "T.J. Kamalanabhan published in 2008"


Journal ArticleDOI
TL;DR: A tool to construct and validate a tool that measures the knowledge strategies in software organizations in India based on the characteristics of organizational learning typology, which are classified as consolidators, transformers and co-inventors.
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 s...

7 citations



Journal ArticleDOI
TL;DR: In this article, the effects of the composition of information systems development teams in Indian firms are examined and the model proposes that heterogeneity mainly in terms of language, region, religion and caste among others, would be significant correlates of individual and team outcomes.
Abstract: This paper attempts to extend and contribute to the domestic diversity literature by presenting a comprehensive model that takes into consideration, the Indian work set up. It proposes to examine the effects of the composition of information systems development teams in Indian firms. Besides the conventional demographics which were studied extensively so far, the model proposes that heterogeneity mainly in terms of language, region, religion and caste among others, would be significant correlates of individual and team outcomes. Apart from these atypical demographics, the model highlights the knowledge heterogeneity and deeper underlying differences. Moreover, the future findings may be notably promising and stronger than those of the existing team diversity studies in its contribution as knowledge and underlying diversity is being explored along with demographic diversity unlike most of the diversity literature which assumed that demographic diversity necessarily breeds differences in knowledge base and thinking styles.