Analysis of a Theoretical KMS Model Implementation in the Indian IT Sector Using PLS-SEM

Kundapur, Poornima Panduranga and Rodrigues, Lewlyn L R (2017) Analysis of a Theoretical KMS Model Implementation in the Indian IT Sector Using PLS-SEM. Journal of Information and Knowledge Management, 16 (01). pp. 175000-1. ISSN 0219-6492

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Abstract

The software industry being highly resource-oriented tries to ensure that knowledge residing in the minds of the employees is e®ectively utilised for leveraging core business competencies. Therefore, providing e®ective knowledge management systems (KMSs) to utilise this knowledge for optimizing business processes has become crucial for enterprises to stay competitive. This paper attempts to assess the e®ectiveness of KMS implementations from a knowledge workers' perspective via six dimensions of the Jennex and Olfman (J&O) KMS success model. Quantitative data was collected through a web-based survey questionnaire from knowledge workers in 25 Indian software companies. Statistical analysis of the study's model was conducted using SmartPLSr (version 2.0.M3) software for assessment of both measurement and structural models. The empirical analysis of the model's hypotheses indicated that a knowledge worker's intent to use a KMS is signi¯cantly dependent on Service and Knowledge/Information Quality dimensions of J&O KMS success model. This paper implies that the J&O KMS success model seems to have adequate predictive power for most implied variables with the exception of System Quality. The J&O KMS success model from a practical point of view o®ers a means for organisations to evaluate and predict the e®ectiveness of KMS implementations. The results produced in this study may allow KM practitioners to know more about the levers that help to improve their KMS and thus suitably prioritise their investment plans accordingly.

Item Type: Article
Uncontrolled Keywords: KMS success model; knowledge quality; system quality; service quality; knowledge worker; KMS effecti
Subjects: Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 21 Jun 2017 08:42
Last Modified: 21 Jun 2017 08:42
URI: http://eprints.manipal.edu/id/eprint/149103

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