How to Improve Data Quality in Supply Chain? A Literature Survey

Data quality in supply chains is getting greater attention from both industries and researchers. As poor data
quality could cost a fortune for supply chain partners, the quality of the data is becoming an important
research topic within the supply chain management literature. There are many benefits in having good data
quality in supply chains such as cutting costs and improving responsibility and accuracy along the chain.
Increasingly customers are demanding details for transactional data and the source of the manufactured
products, including raw materials, suppliers, etc. Having good data quality helps create efficient supply
chains with greater accuracy and transparency. As there exists limited literature surveys in the supply chains
and data quality contexts, this study explores data quality in supply chains through literature survey and
bibliometric review. The bibliometric analysis for data quality has been proceeded employing a
visualization software to elucidate the prominent keywords, publication trends, authors and their
cooperation and active countries in this field. The study reveals some interesting findings about the direction
and trends of data quality in supply chains and emerging research themes, leading countries, key authors
and emerging research topics in this field.