THE SPECIFIC APPLICATION OF BIG DATA IN THE RETAIL INDUSTRY

Authors

Keywords:

Big data, Retail industry, Application Developments

Abstract

The application of big data in national life is becoming increasingly widespread and in-depth. The retail industry has become a widely used and beneficial industry due to its wide consumer reach and relatively simple access and cost to data. Under the new development pattern of dual circulation, the retail industry takes advantage of the development opportunities of big data technology, uses big data technology for application development transformation, transitions to the "new retail" development model, and accelerates the realization of development.
The focus of this article is on the application of big data in different retail industry models, from large classified applications to focus on small business scenarios, to deeply analyze the application of big data in the retail industry. The full text is divided into six parts: The first part is an introduction; The second part is related theories; The third part introduces the research methods of big data application development in the retail industry; The fourth part is based on the research on the application and development data of big data in the retail industry; The fifth part is the conclusion and suggestions. Through research, it can be found that there are both differences and similarities in the application of big data under different retail models. The data generated by every application is valuable, and using scientific methods for data mining and reuse has become an important means for the retail industry to improve products and services, break consumer expectations, and thereby enhance enterprise efficiency and achieve industrial upgrading.

References

Alicia, G. H. (2018). How big is China's digital economy? Policy Briefs, (11),210-243.

Carlsson, B. (2004). Design and Path Optimization of the Agglomeration Mechanism for Emerging Industries in Xiong'an New Area. Structural change and economic dynamics, 15(03), 245-264.

Chaffey D, Ellis Chadwick F, Mayer R, et al. (2009). An Empirical Study on the Impact of the Information Industry on China's Economic Growth. Pearson Education.

Chen, L., Kong, Q. (2021). Technological innovation, high-tech industry agglomeration, and high-quality economic development. Statistics and Decision Making, 37 (17),5-9.

Cong, Y., Yu, B. Y. (2020). High quality Industrial Development in China under the New Development Pattern: Realistic Dilemmas and Policy Directions. Financial Theory and Practice, 41 (02),108-114.

Dremel C, Wulf J. & Herterich M M, et al. (2017). Can the digital economy promote the transformation of China's industrial structure—— From the perspective of efficiency based technological progress. MIS Quarterly Executive, 16(2),81–100.

Gong, X. Y. (2009). Theoretical System and Research Prospects of Digital Economy. Managing the World, (2),36-39.

Jiang, H.T. (2023). Research on the Evolutionary Game Behavior of Digital Industry Village Integration Activating Rural Idle Resources. Chinese Soft Science, (5):96-99.

Liu, P. (2023). Research on Statistical Definition and Industry Classification of Digital Economy. Statistical Research, (14),88-92.

Raffoni A, Visani F, Bartolini M, et al. (2018). Theoretical basis, driving mechanism, and implementation path of digital economy promoting high-quality development of sports industry. Production Planning and Control, 29(1),51-67.

Riker, D. (2014). "Internet Use and Trade Opening," U.S. International Trade Commission, (12),2014-2041.

Yu W, Chavez R, & Jacobs M A. (2018). Financialization of Physical Enterprises and Innovation Output of Enterprises: A Mediated Effect with Regulation. Accounting Research, 114(1),371-385.

Zhang, M. Q. (2020). Empirical Study on the Impact of Government Subsidies on Technological Innovation of High-tech Enterprises. Operation and Management, 26 (01),19-30.

Zhang, Q. (2021). Digital finance, innovation investment, and total factor productivity of enterprises. Managing the World, 35 (07), 1-7

Downloads

Published

2024-06-08

Issue

Section

Research Articles