Big Data Analytics in Logistics and Supply Chain Management: A Review of Literature

Abstract

The amount of data produced by different sectors in past few years has seen an exponentially increase. As a result, professionals are struggling to process vital data in this new competitive environment. The main purpose of this research study is to understand, explore and provide important insights in the big data analytics (BDA) implementation in different functions of logistics and supply chain management (L&SCM) by conducting a bibliometric analysis and future review of relevant articles to write a literature review on trends and implementation of BDA. The study performs a literature review based on the understanding of bibliometric analysis to further state the review on application and opportunity BDA in logistics management and supply chain management (SCM). The motive of this research study aims to find the advantages of adopting BDA, study the inadequate research findings which was not mentioned in previous research papers in this field. Further the literature review categorizes the trends and implementation of research topic in nine main functions of logistics as well as SCM. This research study will help the practitioners and academia with insightful observation on research finding, applying and incorporating BDA for managers and supply chain (SC) professional to take decision whether use of analytics will help to improve SC and is in vesting in BDA a good decision. Also, the article indicates the scope of future study by highlighting the trends in use of analytics and how this implementation in various functions of SC can be further studied based upon the research gap and future direction. This article is unique in terms on conducting bibliometric study since the evolution of big data concept, analyze the trends, interpret and further with the process of literature review showcase a theory regarding the use of the analytics technology in logistics and SC domain.

Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity

“…Supply chain sustainability can be viewed as a source of value creation for customers (Ganji et al, 2022) by increasing the interdependence between the networks of relationships between suppliers and major customers, contributing to achieving financial returns for these firms (Avil es-Gonz alez et al, 2017), and leading to creating new competitive advantages (Ivanov et al, 2017). Several empirical studies such as Feng et al (2022), Kaur et al (2022) and Permatasari et al (2022) examined the importance of supply chain response to disruptions and changes in its external environment, especially in the context of using big data analytics techniques (Friedman and Ormiston, 2022), which offer innovative and new ways to improve supply chain performance (Pawar and Paluri, 2022).…”

“…(2022) and Permatasari et al. (2022) examined the importance of supply chain response to disruptions and changes in its external environment, especially in the context of using big data analytics techniques (Friedman and Ormiston, 2022), which offer innovative and new ways to improve supply chain performance (Pawar and Paluri, 2022).…”

Sustainable Performance through Digital Supply Chains in Industry 4.0 Era: Amidst the Pandemic Experience

“…BDA has provided much support in decision-making to organizations in areas such as logistics operations [57,63] and emergency operations decisions [64,65] to minimize the pandemic impact. Ivanov [42] identified the effects of disruption on S.C. responses.…”

Big Data IoT-based Agile-Lean Logistic in Pharmaceutical Industries

“…Importantly, controllable chips and sensors also control the temperature of vaccines and drugs. From refrigerated trucks, cargo warehouses, sensors return this information to both the manufacturer and the medical center that sent the order [20]. So doctors and medical staff can see where the medicines are and when they are available.…”