Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 4, 2024


Pages


DOI

Article

Innovation of Operation Mode of Traditional Enterprises in the Era of Digital Economy--Taking Traditional Cultural Enterprises as an Example

Check for updates


Authors

Jianbo Zhou Affiliation:
Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu, 210023, China.


Abstract

The essence of a cultural enterprise’s digital transformation is the process by which it metamorphoses into a new type of cultural enterprise by using new digital technologies to improve its core business and product concepts. This paper delves into the need for digital transformation in traditional cultural enterprises and devises a strategy for this transformation. It applies data mining technology to customer relationship management, analyzing customer value using the K-means algorithm and weighted association rules. The CRM system, built using data mining technology, can categorize customers into four types and implement corresponding marketing strategies for customers with different values. Using Company A as an example, we verify the impact of this innovative model on revenue, profit, and operational capacity. After the digital transformation of Company A, the operating profit maintains a fast growth rate, in which the difference in profit between December and November reaches 31,132 yuan, and the gap between the company’s inventory turnover rate and that of the same industry in December is only 0.1%. The digital transformation of traditional cultural enterprises has facilitated the company’s rapid growth.


Keywords

K-means algorithm, Weighted association rule, CRM system, Enterprise operation, 68P30


Citation

Zhou, J. (2024). Innovation of operation mode of traditional enterprises in the era of digital economy--taking traditional cultural enterprises as an example. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2807

Published by: Engineering Journals

Engineering Journals Logo