Supply Chain Integration and Management: Classification and Mapping of the Literature
Author(s):
PRASHANT SHAHABADKAR, DR ASHOKKUMAR VANGERI, PRAMOD SHAHABADKAR
Keywords:
Information Technology (IT), Organisational Integration, Original Equipment Manufacturers (OEM), Supply Chain Integration (SCI), Supply Chain Management (SCM).
Abstract
Purpose– The objective of this paper is to do the systematic review of the articles published over a period of last 20 years from 2000 to 2020 in the area of Supply Chain. Design & Methodology- Literature is searched by using appropriate keywords like: Supply Chain, Supply Chain Integration and Supply Chain Variables. In total, 91 scholarly and peer reviewed articles from 63 journals are scanned to understand the nature of work done and to document the accumulated knowledge in the research articles. The literature is examined and classified according to the nature of work, methodologies applied in their study and sources of data collection. Findings- In the literature, the highest number of articles totaling 31.42% of articles is under the classification of Supply Chain Variables. This is followed by: 23.8% of articles under the classification of Supply Chain Integration, 8.57 % of articles related to supply chain collaboration. In the last 20 years, few researchers have done the comprehensive survey of articles in the area of Supply Chain. Overall, 9.52% of articles under the category of “literature survey or literature review papers” are scanned in this article. Interpretive Structural Modeling(ISM) seems to be the most popular tool among the researchers in the area of SCM. 46.80% of researchers are using ISM in their study for modeling the variables of SCM. This is followed by 9.37% Structural Equation Modeling (SEM), 3.125 % TOPSIS and AHP. Various statistical tools like Average, Means, Standard Deviation; ANOVA etc is being used by 37.50% of researchers. Total 58.00% of researchers havecollected required data for the study from the literature and remaining 34.00 % from Survey and 8% from mixed. Research implications– This study classifies the literature based on the nature of the work in the area of supply chain and provides the guidelines for further research. Originality/Value– There have been some literature review papers related to supply chain management in general; but little attempts in recent years to review literature. This literature is first of its kind in which review of literature is spread over two decades. Thus, this literature review of the last two decades documents the
Article Details
Unique Paper ID: 153538

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 489 - 499
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