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

Abstract

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 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 Data Mining implementation regarding SCRM. We did not find any similar studies, which shows our unique contribution.

A thematic analysis–based model for identifying the impacts of natural crises on a supply chain for service integrity: a text analysis approach

“…Today, large amounts of SC crisis data are available as text-based information from social networks, open portals, and databases for academic purposes. In this regard, new research has been directed toward data-driven methods, a text analysis approach to monitoring SC crises and understanding risk patterns (Yan et al 2019;Chu et al 2019;Shah et al 2021;Kara et al 2020;Da Silva et al 2020).…”

A Bibliometric Analysis of Objective and Subjective Risk

“…Instead, most of the studies focused on the technical capabilities of the technology. Da Silva et al (2020) employed a bibliometric method to review research output on data mining and operations research techniques in supply chain risk management. the paper highlighted the gap found in the literature considering data mining techniques in supply chain risk management, identified the current streams, and proposed suggestions for future research.…”

Reputational Risk and Sustainability: A Bibliometric Analysis of Relevant Literature

“…Fuentes Cabrera et al (2019) applied the bibliometric review methodology to analyze the literature on bullying among teens, ethnicity, and race risk factors for victimization. Darabseh and Martins (2020) used a bibliometric study and content analysis on risks and opportunities for reforming construction with blockchain, and Da Silva et al (2020) conducted a bibliometric method to review research output on data mining and operations research techniques in supply chain risk management; to the best of our knowledge, we did not find any study that employed the bibliometric method to review existing research output on reputational risk and sustainability. By using 88 documents obtained from the Scopus database and analyzed using the VOSviewer, this research addresses several questions related to reputational risk and sustainability: (i) What is the current publication trend of reputational risk and sustainability research?…”