Purpose
The purpose of this paper is to ascertain the current status of knowledge management (KM) adoption in the Indian manufacturing organizations and to develop a comprehensive research model to investigate the impact of enabling conditions for KM and the impact of KM on organizational performance through structural equation modelling.
Design/methodology/approach
A descriptive research design is adopted and primary data are collected through structured questionnaire. In total, 251 responses were obtained from the top- and middle-level managers and the structural relationships in the research model were tested using the partial least squares method.
Findings
The results revealed a moderate adoption of KM by the manufacturing companies. Also, a significant impact of the enablers on KM processes is observed. It is found that Indian manufacturing is operating in labour-intensive traditional methods and KM is still in its infancy. The impact of KM on the performance is moderate and contradicting the extant literature, the impact of KM on innovation is found to be weak.
Research limitations/implications
The study is carried out in companies located in India and hence generalizing the findings should be done with caution. The sample is dominated by small- and medium-sized enterprises (SMEs) which may have implications for the findings.
Practical implications
As manufacturing companies in the developing countries such as India experience a greater competition in the globalized economy, adoption of KM will perk up the performance of the organizations. Practicing managers need to create a culture that facilitates KM adoption. Policy makers shall support SMEs in technology adoption, R&D, skill development and so on.
Originality/value
Previous KM studies in India are fragmented and analysed KM processes and KM enablers in isolation. Also, the holistic studies on KM literature focussed only on one or two facets of KM. A study which investigates the interactions between KM enablers, KM processes and organizational performance and innovation is scarce. The scarcity of empirical studies on KM and a dearth of understanding of the KM concept led to this maiden attempt to provide a comprehensive understanding of KM framework in the Indian manufacturing sector. A validated structured questionnaire for exploring KM practices in the Indian context is developed. Though the importance of the influence of external factors is theoretically emphasized, an empirical investigation is first of its kind.
Manufacturing sector is the driver of economic growth of developing countries and employment. Knowledge and knowledge management result in manufacturing excellence by improving productivity and flexibility of the organizations' operations. This study has identified four fundamental knowledge management processes from the literature, namely knowledge acquisition, knowledge creation, knowledge storage and knowledge sharing that contribute to the growth of the organizations. Thus, we had developed a questionnaire to analyze these processes in the Indian manufacturing sector. Confirmatory factor analysis was performed using LISREL (Linear Structural Relations) software, that is, to test the convergence of the observed variables to each of the knowledge management processes. The results showed a good model fit for all the knowledge managerial processes. Then the data were explored, analyzed and compared with the current status of KM practices with respect to their sizes. It is found that size has a profound impact on the extent of adoption of KM practices.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.