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Data Collection, Analysis and Interpretation

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Paradigms of Knowledge Management

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 60))

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Abstract

Having collected the data from qualitative and quantitative methods, the same have been collated to give an exhaustive account of the odyssey of Knowledge Management in POWERGRID from vision to evaluation. The journey of Knowledge Management in this Company used a variety of tools for its implementation and capitalization. The demographic descriptions coupled with measurement, reliability and validity of major constructs are the salient features of this chapter. Confirmatory factor analysis through structural equation modelling is the focus of this part of the book. The significance of hypothesized model after hypothesis testing and the model fit of measurement model through confirmatory factor analysis using AMOS 20-two models are the outcomes of the interpretation of data and their collation. Finally, the qualitative and quantitative data have been integrated to draw inferences which indicate that POWERGRID has got proper mechanism in place and succeeded in Knowledge Management from acquisition/creation, sharing, use, reuse of knowledge to its capitalization as well.

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Authors and Affiliations

  1. HRD, Power Grid Corporation of India Limited, Gurgaon, Haryana, India

    Krishna Nath Pandey

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  1. Krishna Nath Pandey
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Correspondence to Krishna Nath Pandey .

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Pandey, K.N. (2016). Data Collection, Analysis and Interpretation. In: Paradigms of Knowledge Management. Studies in Systems, Decision and Control, vol 60. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2785-4_5

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  • DOI: https://doi.org/10.1007/978-81-322-2785-4_5

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2783-0

  • Online ISBN: 978-81-322-2785-4

  • eBook Packages: EngineeringEngineering (R0)

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