Research on Enterprise Business Models in the Context of Digital Transformation

Ran Zhao ()
Additional contact information
Ran Zhao: Jinan Foreign Language School

A chapter in Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025), 2025, pp 379-386 from Springer

Abstract: Abstract In the digital transformation wave, enterprise business models are deeply evolving. This research comprehensively explores digitalization’s multifaceted impacts on these models and transformation paths. By reviewing global studies, it shows digitalization drives enterprises to construct digital platforms for enhanced connections, leverage big data and AI for customer insights, operation optimization, and innovation, develop digital services for product-to-service shifts, and explore new profit models. Nevertheless, enterprises encounter challenges like tech costs, data security, privacy, and cultural shifts. Those transforming successfully can boost operational efficiency, strengthen customer loyalty, expand markets, and ensure sustainable growth. This study offers a theoretical and practical reference for enterprises navigating digital transformation.

Keywords: digital transformation; enterprise management; innovation strategies (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-748-9_42

Ordering information: This item can be ordered from
http://www.springer.com/9789464637489

DOI: 10.2991/978-94-6463-748-9_42

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().