Abstract

This article explores digital business models in the Metaverse, a virtual space revolutionizing traditional models. It examines the Metaverse's immersive nature, its potential to disrupt businesses, and the importance of data-driven value propositions, personalized experiences, digital platforms, agility, disintermediation, and innovation. The research highlights the Metaverse's impact on digital models, emphasizing adaptation. It discusses challenges and opportunities, focusing on interoperability, decentralization, social interactions, and user-generated content. The article provides insights and practical guidelines for designing Metaverse-specific business models, incorporating immersive experiences, virtual assets, and systematic strategies to leverage its unique features.

Details

Title
Data-Driven Transformation of Business Models in the Digital Economy Through Metaverse Integration
Author
Sharma, Gajanand 1 ; Alhomoud, Ahmed 2 ; Gupta, Brij B. 3 ; Kumar, Alok 4 ; Upadhyay, Utsav 4 ; Hemrajani, Naveen 1 ; Arya, Varsha 5 ; Attar, Razaz Waheeb 6 

 Department of Computer Science and Engineering, JECRC University, Jaipur, India 
 Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia 
 Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan & Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan & Symbiosis Centre for Information Technology, Symbiosis International University, Pune, India & School of Cybersecurity, Korea University, Seoul, South Korea 
 Department of Computer Science and Engineering, Galgotias University, Greater Noida, India 
 Hong Kong Metropolitan University, Hong Kong & Center for Interdisciplinary Research, University of Petroleum and Energy Studies, Dehradun, India & UCRD, Chandigarh University, Chandigarh, India 
 Management Department, College of Business Administration, Princess Nourah bint Abdulrahman, Riyadh, Saudi Arabia 
Pages
1-30
Publication year
2025
Publication date
2025
Publisher
IGI Global
ISSN
10638016
e-ISSN
15338010
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3283003477
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the "License").  Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.