Order picking (OP) is a time-and labour-intensive operation in which human-system errors
can lead to deficiencies in quality. This study aimed to identify human factors-related failure …

The purpose of this research is to ascertain the most influential factor that affects the
blockchain technology adoption intentions in Malaysian warehouse operations. The unified …

Order picking is a key task in almost all supply chains and has a significant effect on
operational efficiency of warehouses. Although most companies still rely on manual order …

This paper aims to identify the factors affecting big data analytics (BDA) adoption in the
Malaysian warehousing sector. The technology-organisation-environment (TOE) model …

Purpose This paper aims to examine the impact of knowledge management capability
(KMC) on supply chain management practices (SCMPs), organizational learning (OL) and …

Manual picker-to-parts order picking system had been considered as one of the most labor-
intensive tasks in warehouses. These manual tasks might cause a negative impact on the …

The activity of stock taking in any business is important and must be done on a regular basis
because as it ensures the company is on the right track to reach its business target. This …

The traditional medical material distribution management system method lacks systematic
analysis and relies heavily on the subjective judgment of related operators, and it is easy to …

This study aimed to understand the inventory management of Giant Superstore Taman
Connaught. The study was qualitative study that explored the ABC analysis efficiency of …

Going green in logistics business operation has been the main initiatives to reduce the
carbon footprint while generating profit. This study described about the green practice and …