FinTech as an innovation challenge: from big data to sustainable development

Anzhela Ignatyuk; Olena Liubkina; Tetiana Murovana; Alina Magomedova

doi:10.1051/e3sconf/202016613027

All issues

Volume 166 (2020)

E3S Web Conf., 166 (2020) 13027

References

Open Access

Issue		E3S Web Conf. Volume 166, 2020 The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2020)


Article Number		13027
Number of page(s)		8
Section		Sustainable Economy
DOI		https://doi.org/10.1051/e3sconf/202016613027
Published online		22 April 2020

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[1] Renewables 2017: Global Status Report (REN21 Secretariat, Paris, 2017), https://www.ren21.net/wp-content/uploads/2019/05/GSR2017_FullReport_English.pdf. Accessed 10 Feb 2020 [Google Scholar]

[2] Renewables 2019: Global Status Report (REN21 Secretariat, Paris, 2019, https://www.ren21.net/wp-content/uploads/2019/05/gsr_2019_full_report_en.pdf. Accessed 10 Feb 2020 [Google Scholar]

[3] D. Boyd, K. Crawford, Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Inform., commun. & soc. 15, 662–679 (2012) [CrossRef] [Google Scholar]

[4] K. Crawford, The hidden biases in big data (Harvard Business Review, 2013), https://hbr.org/2013/04/the-hidden-biases-in-big-data. Accessed 10 Feb 2020 [Google Scholar]

[5] K. Desouza, B. Jacob, Big data in the public sector: lessons for practitioners and scholars. Admin. & Soc. 49, 1043–1064 (2017) [CrossRef] [Google Scholar]

[6] G. Kim, S. Trimi, J. Chung, Big-data applications in the government sector. Commun. of the ACM 57, 78–85 (2014) [CrossRef] [Google Scholar]

[7] J. Mervis, Agencies rally to tackle big data. Sc. 336, 22 (2012) [Google Scholar]

[8] I. Rakov, Mechanisms for financing green projects: country experience. Cur. iss. of econ. and law. 2, 67–82 (2017) [Google Scholar]

[9] H. Akaike, A new look at the statistical model identification. IEEE transact. on autom. cont. 6, 716–723 (1974) [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]

[10] G. Schwarz, Estimating the dimension of a model. The ann. of stat. 2, 461–464 (1978) [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]

[11] M. Cox, D. Ellsworth, Managing big data for scientific visualization, in ACM Siggraph 97, pp. 21–38 [Google Scholar]

[12] C. Lynch. Big data: How do your data grow. Nat. 455, 28 (2008) [Google Scholar]

[13] J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, A. Byers, Big data: The next frontier for innovation, competition, and productivity (McKinsey Global Institute, New York, 2011) [Google Scholar]

[14] J. Hill, in Fintech and the Remaking of Financial Institutions, 1st edn. (Springer, New York, 2018) [Google Scholar]

[15] I. Lee, Y. Shin, Fintech: Ecosystem, business models, investment decisions, and challenges. Bus. hor. 61, 35–46 (2017) [Google Scholar]

[16] U. Sivarajah, M. Kamal, Z. Irani, V. Weerakkody, Critical analysis of Big Data challenges and analytical methods. Journ. of Bus. Res. 70, 263–286 (2017) [CrossRef] [Google Scholar]

[17] J. Begenau, M. Farboodi, L. Veldkamp. Big data in finance and the growth of large firms. Journ. of Mon. Econ. 97, 71–87 (2018) [CrossRef] [Google Scholar]