Analysis of Enterprise Digital Transformation: The Case of Midea Group

With the development of Internet technology and big data, digital transformation has become the only way for enterprises to achieve sustainable development. As one of China's leading manufacturing companies, Midea Group is transforming into a technology-driven platform. This study explores Midea Group's path to digital transformation, focusing on the challenges of dealing with digital integration, organizational restructuring, and data security during Midea Group's transformation process. This study adopts a case study approach to systematically examine Midea Group's strategic restructuring, technological integration, and management innovation. The findings suggest that although Midea Group has successfully enhanced its digital capabilities and expanded its global reach through targeted acquisitions and ecosystem building, it still faces challenges in technology operability, internal communication efficiency, and data protection. This study emphasizes that continuous innovation, agile management of change, and comprehensive data governance are critical to the sustainability of digital transformation. This study provides theoretical and practical insights for other manufacturing firms undergoing similar transformations and committed to smart manufacturing and enhancing global competitiveness.

Authors

Institutions

Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2025-07-04
DOI
https://doi.org/10.54254/2754-1169/2025.lh24644
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Enterprise Digital Transformation: The Case of Midea Group

Shihao Xu, Boyang Zhang, Yang Shi
Advances in Economics Management and Political Sciences
Economic Development and Digital Transformation
article

Analysis of Enterprise Digital Transformation: The Case of Midea Group

Shihao Xu, Boyang Zhang, Yang Shi
article en

Abstract

With the development of Internet technology and big data, digital transformation has become the only way for enterprises to achieve sustainable development. As one of China's leading manufacturing companies, Midea Group is transforming into a technology-driven platform. This study explores Midea Group's path to digital transformation, focusing on the challenges of dealing with digital integration, organizational restructuring, and data security during Midea Group's transformation process. This study adopts a case study approach to systematically examine Midea Group's strategic restructuring, technological integration, and management innovation. The findings suggest that although Midea Group has successfully enhanced its digital capabilities and expanded its global reach through targeted acquisitions and ecosystem building, it still faces challenges in technology operability, internal communication efficiency, and data protection. This study emphasizes that continuous innovation, agile management of change, and comprehensive data governance are critical to the sustainability of digital transformation. This study provides theoretical and practical insights for other manufacturing firms undergoing similar transformations and committed to smart manufacturing and enhancing global competitiveness.

Advances in Economics Management and Political SciencesVol. 193(1)
University of California, Irvine (US), Bayi Children's Hospital (CN), Stony Brook University (US)
Openalex Percentile: Top 73%
Economic Development and Digital Transformation
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.