Analisis Penerapan Big Data dalam Supply Chain Management: Systematic Literature Review

Implementation of big data in supply chain management, encompassing a wide range of critical sectors such as demand forecast, inventory management, logistics, and supplier relations. The advantages are numerous, including greater demand forecasting accuracy, increased visibility into the entire supply chain network, shorter lead times, and better risk management. Despite these benefits, problems emerge in the form of data security concerns, the need for specialized skills, and the complexity of integrating disparate systems. Overcoming these barriers is critical for companies that want to fully utilize big data, resulting in a more flexible, resilient, and customer-centric approach to supply chain operations.

Authors

Institutions

Publication Details

Journal
Sci-Tech Journal
Published
2025-05-01
DOI
https://doi.org/10.56709/stj.v4i2.732
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analisis Penerapan Big Data dalam Supply Chain Management: Systematic Literature Review

Vina Dwiyanti, A. N. Hamdani, Syifa Alika Virgineta
Sci-Tech Journal
Management and Optimization Techniques
article

Analisis Penerapan Big Data dalam Supply Chain Management: Systematic Literature Review

Vina Dwiyanti, A. N. Hamdani, Syifa Alika Virgineta
article en

Abstract

Implementation of big data in supply chain management, encompassing a wide range of critical sectors such as demand forecast, inventory management, logistics, and supplier relations. The advantages are numerous, including greater demand forecasting accuracy, increased visibility into the entire supply chain network, shorter lead times, and better risk management. Despite these benefits, problems emerge in the form of data security concerns, the need for specialized skills, and the complexity of integrating disparate systems. Overcoming these barriers is critical for companies that want to fully utilize big data, resulting in a more flexible, resilient, and customer-centric approach to supply chain operations.

Sci-Tech JournalVol. 4(2)
Indonesia University of Education (ID)
Openalex Percentile: Top 87%
Management and Optimization Techniques
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.