Impact of knowledge management on organizational performance: An application of structural equation modeling

Title

Impact of knowledge management on organizational performance: An application of structural equation modeling

Creator

Payal R.; Ahmed S.; Debnath R.M.

Description

Purpose: The purpose of this paper is to explore the dynamic relationships among the essential knowledge management (KM) constructs, i.e. strategy, enablers and processes, and to establish their links to organizational performance using a holistic integrated model. Design/methodology/approach: The structural equation modeling approach was used in the research study. The primary data were collected from IT managers in Indian software firms. Findings: The study successfully tested an integrated KM model in an Indian scenario. The study found that the KM strategy, enablers and processes had a significant positive relationship with the organizational performance. An appropriately designed KM strategy significantly influenced the KM enablers and KM process. KM enablers nurtured in an organization positively impacted the KM process. Furthermore, the KM process partially mediated the relationship between the KM strategy and organizational performance, and partially mediated the relationship between KM enablers and organizational performance. Originality/value: This study is one of the few to empirically establish how the essential KM constructs of strategy, enablers and processes together impact organizational performance. 2019, Emerald Publishing Limited.

Source

VINE Journal of Information and Knowledge Management Systems, Vol-49, No. 4, pp. 510-530.

Date

2019-01-01

Publisher

Emerald Group Holdings Ltd.

Subject

Knowledge; Knowledge management; Knowledge management enablers; Knowledge management process; Knowledge management strategy; Organizational performance

Coverage

Payal R., Christ University, Delhi NCR Campus, Ghaziabad, India; Ahmed S., Aligarh Muslim University, Faculty of Management Studies and Research, Aligarh, India; Debnath R.M., Department of Applied Statistics, Indian Institute of Public Administration, New Delhi, India

Rights

Restricted Access

Relation

ISSN: 20595891

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1108/VJIKMS-07-2018-0063

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072126969&doi=10.1108%2fVJIKMS-07-2018-0063&partnerID=40&md5=56447d1e32617324340f682c20621ade