Optimize the Business Ecosystem Model of Securities Crowdfunding Financial Technology to Improve Access to SMEs Funding
- DOI
- 10.2991/978-2-38476-132-6_26How to use a DOI?
- Keywords
- FinTech; Securities Crowdfunding; Business Ecosystem
- Abstract
The study aims to review the literature of several articles covering the financial technology company (FinTech) Securities Crowdfunding business ecosystem and related topics. Securities Crowdfunding is a crowdfunding business model facilitated by a financial technology platform. This research uses exploratory methods with qualitative descriptive approaches. The results of the study explain the characteristics of FinTech companies and their relationship with agile technologies. Some of the previous ecosystem models from Moore (1993), Diemeers (2015) and Ernst & Young Consultants (2017) were important reference materials as the foundation for Fintech companies to design strategies for the development of sustainable business models. The discussion ended with a description of the financial perspective of cusomer as one of the key actors that determine the basis of investment decisions in FinTech Securities Crowdfunding.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dede Suryanto PY - 2023 DA - 2023/10/31 TI - Optimize the Business Ecosystem Model of Securities Crowdfunding Financial Technology to Improve Access to SMEs Funding BT - Proceedings of the 6th International Conference on Vocational Education Applied Science and Technology (ICVEAST 2023) PB - Atlantis Press SP - 276 EP - 286 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-132-6_26 DO - 10.2991/978-2-38476-132-6_26 ID - Suryanto2023 ER -