Data mining and operations research techniques in Supply Chain Risk Management: A bibliometric study.

Data mining and operations research techniques in Supply Chain Risk Management: A bibliometric study.

Blog Article

GOAL: This paper aims to carry a bibliometric study to map how data mining and operations research techniques are being applied to Supply Chain Risk Management.DESIGN/METHODOLOGY/APPROACH: We conducted a bibliometric analysis implemented in R language (bibliometrix package) using Systematic Literature Review approach to conduct the search.RESULTS: As the main results we highlight the gap we found in the literature considering Data Mining techniques in Supply Chain Risk Management and we set a full panorama of this stream Door Stopper of research.

LIMITATIONS OF THE INVESTIGATION: We used Scopus database which allows recovering peer-reviewed texts from dozens of strong databases, nevertheless, we can not guarantee that all relevant documents were recovered.In addition, we considered only full published papers published in English language.PRACTICAL IMPLICATIONS: Managers and companies that are related in a supply chain must gradually redesign processes to include Data Mining techniques to support SCRM processes and activities along the SC.

ORIGINALITY / VALUE: The paper showed the updated panorama of Luggage Tag Data Mining implementation regarding SCRM.We did not find any similar studies, which shows our unique contribution.