Research on the Digitalization Level Evaluation and Development of the Beauty New Economy Park Based on the “Industrial Brain”

In the context of the booming digital economy, the digital transformation of industries has become a key driving force to promote the high-quality development of the economy. As an important carrier in this transformation process, the “industrial brain” platform plays an indispensable role, which takes data sharing as a link and technological innovation as an engine, building a bridge of interconnection and innovation for industrial digital development. This paper focuses on Pingdu Beauty New Economy Park, takes its “Industry Brain” digital platform as the research object, and evaluates the development level of the park's digital operation dimension based on the “SME Digitalization Level Assessment Indicators (2024 Edition)”. The study found that the digitization level of the digital operation dimension has reached the integration level, and the number of digital operation application scenarios is eight, all of which have reached the third level, of which five are binding scenarios, which have a certain scale advantage, implying that the park's digitization application depth and standardization of the core operation link are high. The study provides direction for the subsequent digital transformation of the park and provides reference for the digital development of other industrial clusters.

Authors

Institutions

Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1145/3729706.3729754
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Digitalization Level Evaluation and Development of the Beauty New Economy Park Based on the “Industrial Brain”

Zhikai Xu, Jia Liu, Shuwei Wang
Regional Development and Environment
article

Research on the Digitalization Level Evaluation and Development of the Beauty New Economy Park Based on the “Industrial Brain”

Zhikai Xu, Jia Liu, Shuwei Wang
article en

Abstract

In the context of the booming digital economy, the digital transformation of industries has become a key driving force to promote the high-quality development of the economy. As an important carrier in this transformation process, the “industrial brain” platform plays an indispensable role, which takes data sharing as a link and technological innovation as an engine, building a bridge of interconnection and innovation for industrial digital development. This paper focuses on Pingdu Beauty New Economy Park, takes its “Industry Brain” digital platform as the research object, and evaluates the development level of the park's digital operation dimension based on the “SME Digitalization Level Assessment Indicators (2024 Edition)”. The study found that the digitization level of the digital operation dimension has reached the integration level, and the number of digital operation application scenarios is eight, all of which have reached the third level, of which five are binding scenarios, which have a certain scale advantage, implying that the park's digitization application depth and standardization of the core operation link are high. The study provides direction for the subsequent digital transformation of the park and provides reference for the digital development of other industrial clusters.

Qingdao University of Technology (CN), Shandong University of Science and Technology (CN)
Key Technology Research and Development Program of Shandong
Openalex Percentile: Top 79%
Regional Development and Environment
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.