Analysis of smart warehouse in the context of India’s National Logistics Policy and digital-push: an ISM-MICMAC technique

Purpose India’s rapid economic growth has triggered a significant transformation in its logistics sector, fueled by comprehensive reforms and digital initiatives outlined in the National Logistics Policy. Smart warehouses, equipped with cutting-edge technologies such as IoT, AI and automation, have taken center stage in this evolution. They play a pivotal role in India’s digital journey, revolutionizing supply chains, reducing costs and boosting productivity. This AI-driven transformation, in alignment with the “Digital India” campaign, positions India as a global logistics leader poised for success in the industry 4.0 era. In this context, this study highlights the significance of smart warehouses and their enablers in the broader context of supply chain and logistics. Design/methodology/approach This paper utilized the ISM technique to suggest a multi-tiered model for smart warehouse ecosystem enablers in India. Enablers are also graphically categorized by their influence and dependence via MICMAC analysis. Findings The study not only identifies the 17 key enablers fostering a viable ecosystem for smart warehouses in India but also categorizes them as linkage, autonomous, dependent and independent enablers. Research limitations/implications This research provides valuable insights for practitioners aiming to enhance technological infrastructure, reduce costs, minimize wastage and enhance productivity. Moreover, it addresses critical academic and research gaps contributing to the advancement of knowledge in this domain, thus paving the way forward for more research and learning in the field of smart warehouses. Originality/value The qualitative modeling is done by collecting experts' opinions using the ISM technique solicits substantial value to this research.

Authors

Institutions

Publication Details

Journal
International Journal of Productivity and Performance Management
Published
2024-08-15
DOI
https://doi.org/10.1108/ijppm-10-2023-0533
Citations
7
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of smart warehouse in the context of India’s National Logistics Policy and digital-push: an ISM-MICMAC technique

Ram Singh, Shalini Singh
7 citations
International Journal of Productivity and Performance Management
Advanced Manufacturing and Logistics Optimization
2.44
article

Analysis of smart warehouse in the context of India’s National Logistics Policy and digital-push: an ISM-MICMAC technique

Ram Singh, Shalini Singh
article en
7 citations

Abstract

Purpose India’s rapid economic growth has triggered a significant transformation in its logistics sector, fueled by comprehensive reforms and digital initiatives outlined in the National Logistics Policy. Smart warehouses, equipped with cutting-edge technologies such as IoT, AI and automation, have taken center stage in this evolution. They play a pivotal role in India’s digital journey, revolutionizing supply chains, reducing costs and boosting productivity. This AI-driven transformation, in alignment with the “Digital India” campaign, positions India as a global logistics leader poised for success in the industry 4.0 era. In this context, this study highlights the significance of smart warehouses and their enablers in the broader context of supply chain and logistics. Design/methodology/approach This paper utilized the ISM technique to suggest a multi-tiered model for smart warehouse ecosystem enablers in India. Enablers are also graphically categorized by their influence and dependence via MICMAC analysis. Findings The study not only identifies the 17 key enablers fostering a viable ecosystem for smart warehouses in India but also categorizes them as linkage, autonomous, dependent and independent enablers. Research limitations/implications This research provides valuable insights for practitioners aiming to enhance technological infrastructure, reduce costs, minimize wastage and enhance productivity. Moreover, it addresses critical academic and research gaps contributing to the advancement of knowledge in this domain, thus paving the way forward for more research and learning in the field of smart warehouses. Originality/value The qualitative modeling is done by collecting experts' opinions using the ISM technique solicits substantial value to this research.

International Journal of Productivity and Performance ManagementVol. 74(2)
Indian Institute of Foreign Trade (IN), University of Petroleum and Energy Studies (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Advanced Manufacturing and Logistics Optimization
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.