Data-driven on reverse logistic toward industrial 4.0: an approach in sustainable electronic businesses

Abstract

ABSTRACT This study aims to establish a systematic data-driven analysis that exemplifies a precious reverse logistic portrayal toward industry 4.0 and extension impute for sustainable growth due to there are plenty of indicators unveils among the massive diffusion of reverse logistic and industry 4.0 in extending literature. A combination of content analysis, networking analysis, fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory, and Choquet integral is adopted. This study contributes to insight on a valid hierarchical structure of reverse logistic toward industry 4.0, explore the causal inter-relationships among the attributes and identify the critical attributes for achieving sustainable performance, and identify the decisive reverse logistic activities in electronic industry practices in Vietnam. The result shows that sustainable circularity, smart municipality and digitalising accessibility are causal aspects with potential opportunities, challenges for prominent improvement. The digitalising accessibility is emphasised as the most important aspect in the structure. The collection stage and disposition stage are indicated to be top prioritised to enhance the electronic reverse logistic practices toward the industry 4.0 in Vietnam.