Vishal Ashok Bhosale, Ravi Kant and Ravi Shankar
The purpose of this paper is to test the relationship between supply chain knowledge flow enablers (SCKFEs), knowledge flow performance and supply chain (SC) performance…
Abstract
Purpose
The purpose of this paper is to test the relationship between supply chain knowledge flow enablers (SCKFEs), knowledge flow performance and supply chain (SC) performance (operational performance, customer satisfaction, and financial performance) for Indian manufacturing organizations.
Design/methodology/approach
A structured survey was used to collect the necessary data within the Indian manufacturing industry. Construct validity was conducted using convergent validity, reliability, and discriminant validity. Structural equation modeling was used to test the model.
Findings
The results of the study are tested based on data from 269 respondents from an Indian manufacturing organizations show positive influence: from SCKFEs to knowledge flow performance; knowledge flow performance to SC performance. In essence, the research reveals that the awareness to implement SCKFEs will increase the knowledge flow performance and SC performance.
Practical implications
The findings of this study are beneficial for decision-making authorities in the organization to know the importance of SCKFEs and their influence on knowledge flow performance and SC performance.
Originality/value
This is the unique study, which provides the theoretical framework which shows the relationship among SCKFEs, knowledge flow performance and SC performance and validates the framework with the help of an empirical study with Indian organizations.
Details
Keywords
Vishal Ashok Bhosale and Ravi Kant
The purpose of this paper is to present a comprehensive and useful insight into the knowledge management (KM) in the supply chain (SC) research and provide gaps and future…
Abstract
Purpose
The purpose of this paper is to present a comprehensive and useful insight into the knowledge management (KM) in the supply chain (SC) research and provide gaps and future research implications. The literature review includes a metadata analysis of KM in SC research along a number of dimensions, the existing dimensions as well as dimensions which are previously not been presented within the current area to predict the future role of KM in SC.
Design/methodology/approach
The study is to examine the status of KM in SC within academic and industrial research in the last 14 years. The systematic literature review of KM in SC is based on 176 peer reviewed articles selected through a multi-stage process, from 1,063 studies during January 2001-June 2014.
Findings
An increase in the interest level of incorporating KM in SC is clearly visible while studying available literature. The statistics prove that research in the field of KM in SC is overwhelmingly empirically oriented. Another major finding shows that the survey model score highest among all the research method used in the discipline. In general, the research is more interpretive in nature and provides a frame for theoretical critique. The result indicates that there is a need to use of advanced data analysis techniques with traditional data analysis technique.
Originality/value
The review simply provides statistical summary which is easy to understand for practitioner and provide increased insights on the current state of research for the KM in SC.