Trends and Research Landscape of Smart Warehouse in Malaysia A Bibliometric Analysis

Abstract

The uses a quantitative bibliometric technique to map the intellectual structure, publishing trends, and topic development of smart warehouse research internationally. 1766 publications published between 1971 and October 2025 were retrieved from the Scopus database using an optimum keyword search using the phrase "Smart warehouse" in an undefined field. A high of 249 yearly publications was reached in 2024, indicating a fast increase of the discipline. China rank first in publishing volume with 360 papers, whereas Papua New Guinea rank first in average article citations with and 60.00. Some important places to find these kinds of articles published are Lecture Notes in Computer Science and Lecture Notes in Networks and Systems. Anon, J.C. R. has written fourteen papers, making them the most prolific individual author. Smart Warehouse (94 occurrences) was the most frequent terms according to the co-occurrence analysis. From data warehouses and conventional warehouses (before the 2000s) to RFID and data mining (during the 2000s and early 2010s) thematically evolving into the present emphasis on AI, Big Data, and the Internet of Things (IoT) is evident. Issues with Big Data integration and trust, RFID technical understanding, inadequate IoT-based warehouse architecture, the need for increased employee skills, and a lack of strategic top management commitment are fundamental and persistent research themes worldwide, as validated by the study, which also indicates critical implementation challenges already identified in practice. To help lawmakers and future academics fill in the gaps by understanding and fast digital transition of smart warehouse, this study mapped the intellectual framework.