Evaluating the Influence of Big Data Analytics and Blockchain Technology on the Performance of Humanitarian Supply Chain Management

Abstract

The purpose of this study was to examine that how efficiency can be attain in Humanitarian Supply Chains Management (HSCM) through Enterprise Resource Planning (ERP), Block Chain Technology (BCT) and Big Data Analytics (BDA). A conceptual model is developed based on resource-based viewpoint and transactional cost theory that demonstrates the effects of BDA, Block Chain, and ERP on the performance of HSCM. The analysis shows that block chain connects people, groups, or nations to establish a network and plays a critical role in crisis management through monetary or non-monetary aid, whereas, BDA boosts the capacity of humanitarian operations to achieve their goals. Furthermore, it is also concluded that combining block chain with BDA capabilities can enhance HSCM performance. The study employed a quantitative approach, and responses from a 200-person sample size were gathered via survey questionnaires. Because Smart PLS, SEM enables broader dissemination in a variety of industries where non-normal data, small sample sizes, and formative indicators are being increased to support more complex model structures or solve data shortcomings like heterogeneity, the data was analyzed using this method. The PLS algorithm was used to analyze the study's data and content. The concept validity is tested using the Bootstrapping test, and the hypothesis outcomes are tested using binding folding. The findings (P-value P>0.05 and T-value 1.96 or higher) demonstrated that the study's premise had been amply confirmed by the current investigation. Due to its ability to narrow a performance gap between block chain and BDA in the current HSC literature and so improve the performance of the HSCM, this work is unique and valuable.