Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 31 , 10 November 2023
Open
Access | Article
The Impact of Enterprise Digital Transformation on Consumers in the Big Data Era
* Author to whom correspondence should be addressed.
Abstract
In the last decade, the worldwide production of data has reached 64.2 zettabytes, indicating that consumers around the world are entering an era dominated by big data. Many enterprises have begun to apply digital transformation strategies to their businesses as they see the bright future of the benefits that the application of big data can bring. Consequently, consumers worldwide have been greatly influenced by the growing number of digital transformation companies. This research will be processed by interviewing 30 people in groups, Group1, Group2, and Group 3. They discuss and analyze the various impacts of enterprises’ digital transformation on consumers by applying pie charts. By interviewing 30 people in three different groups, there is a more positive impact of digital transformation.
Keywords
digital transformation, big data, consumer
References
1. Matt, C., Hess, T., Benlian, A.: Digital transformation strategies. Business & information systems engineering 57, 339-343 (2015).
2. Ulas, D.: Digital transformation process and SMEs. Procedia Computer Science 158, 662-671 (2019).
3. Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., Haenlein, M.: Digital transformation: A multidisciplinary reflection and research agenda. Journal of business research 122, 889-901 (2021).
4. Vial, G.: Understanding digital transformation: A review and a research agenda. The Journal of strategic information systems 28(2), 118-144 (2019).
5. Anuradha, J.: A brief introduction on Big Data 5Vs characteristics and Hadoop technology. Procedia computer science, 48, 319-324 (2015).
6. Le, T. M., Liaw, S. Y.: Effects of pros and cons of applying big data analytics to consumers’ responses in an e-commerce context. Sustainability, 9(5), 798 (2017).
7. Accenture Homepage, https://www.accenture.com/us-en/insights/digital-transformation-index, last accessed 2023.
8. China Youth Daily Homepage, http://news.cyol.com/gb/articles/2022-06/15/content_037aOSvaj.html, last accessed 2022/06/15.
9. Stedman, C.: The ultimate guide to big data for businesses, (2022).
10. Zguolife Homepage, http://www.zguolife.com/news/18160.htm, last accessed 2021/03/01.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-083-7
- ISBN (Online)
- 978-1-83558-084-4
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/31/20231516
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited