BIG DATA ANALYTICS: DIRECTION AND IMPACT ON FINANCIAL TECHNOLOGY
BIG DATA ANALYTICS: DIRECTION AND IMPACT ON FINANCIAL TECHNOLOGY
Purpose- Digital infrastructure and technology advancements are steering the innovations in financial sector globally. The technology and data driven aspect has fueled the Fintech sector, evolving at the tangent of mighty finance sector and revolutionary technology domain, especially the digital technologies. The purpose of this paper is to show that most FinTech innovations, are significantly driven by big data analytics and its efficient implementation. Methodology- The use of latest ICT technologies lightens up the finance operations and services to exponential levels. Big data analytics is new and requires comprehensive studies as a research field specially in the finance domain. The intent here is to study an adoption model specially IT diffusion mode to Big data analytics that could detect key success predictors. The study tests the model for adoption of big data as novel technology and the related issues. The paper also presents a review of academic journals, literature, to study the diffusion and adoption of big data in to the finance domain. Findings - The research reflects a significant interest and utility about Big data analytics value that epitomizes the rise of Fintech phenomenon. Big data analytics may provide some competencies to the organizations that may consider its several dimensions along with its framework in the pre-adoption phase or adoption phase or implementation or diffusion phase. The research also attempts to describe the several dimensions of Big data analytics as a new technology. This shall be of good interest to the researchers, professionals, academicians and policy-makers. Conclusion- The paper first defines big data to consolidate the different discourse and literature on big data. We also reflect the point that predictive-analytics (with structured data) overshadows other forms: descriptive and prescriptive analytics (with unstructured data) which constitutes more than 90% of big data. We also reflected on analytics techniques for unstructured data: audio, video, and social media data, as well as predictive analytics. In the analysis and testing part we also performed the testing of the IT diffusion model which concludes that there are significant relationships among IT-planning, IT-implementation and IT-diffusion.
Keywords:
Fintech big data analytics, IT diffusion, digital payment,
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- Pranata N., Faraday A., (2019). Big data-based peer-to-peer lending fintech: surveillance system through the utilization a of google play review, ADBI Working Paper Series.
- Gomber P., et.al., (2017). Digital Finance and FinTech: current research and future research directions, Journal of Business Economics, 87, 537– 580.
- Ahmed H., Daim T., Basoglu N., (2009). Information Technology Diffusion in Higher Education, Technology in Society, Elsevier.
- Martins M., Oliveira T, (2008). Determinants of Information Technology Diffusion: a Study at the Firm Level for Portugal, Academic Conferences Ltd., Electronic Journal Information Systems Evaluation,11(1), 27-34.
- Micheni E., (2015). Diffusion of big data and analytics in developing countries. The International Journal of Engineering and Science (IJES), Volume 4(8), 44-50.
- Agrawal K., (2013), The Assimilation of Big Data Analytics (BDA) by Indian Firms: a Technology Diffusion Perspective, Indian Institute of Management, Ahmedabad, http://vslir.iima.ac.in:8080/jspui/bitstream/11718/11489/1/TIK-PP-246-The_Assimilation_of_Big_Data_Analytics- 313-Agrawal_b.pdf
- Sahin I., (2006). Detailed review of Rogers’ diffusion of innovations theory and educational technology-related studies based on Rogers’ theory. The Turkish Online Journal of Educational Technology, 5(2), 14-23.
- Chen T., Ni Y., (2019). Research on BIM technology diffusion barrier - based on innovation diffusion theory, IOP Conf. Ser.: Earth Environ. Sci. 218 012031.
- Ghezzi A., Belocco R., (2013). Technology diffusion theory revisited: a Regulation, Environment, Strategy, Technology model for technology activation analysis of Mobile ICT, https://www.researchgate.net/publication/236626987
- Bagby J., Reitter D., (2016). Anticipatory FinTech Regulation: On Deploying Big Data Analytics to Predict the Direction, Impact and Control of Financial Technology, Journal of Innovation Management, 32–54. https://hesso.tind.io/record/1996/files/Schueffel_Tamingthebeast_2016.pdf
- Al-Qirim N., et.al., (2017). Determinants of Big Data Adoption and Success, ICACS '17, Jeju Island, Republic of Korea, © 2017 Association for Comput ing Machinery.
- Gandomi A., Haider M., (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management 35, 137–144.
- Jarunee W., (2019). FinTech banking industry: a systemic approach, Foresight, Emerald Publishing, 19(6), 189-199.
- Kim Y., Park Y, (2015). An empirical study on the adoption of “fintech” service: focutilised on mobile payment services. Advanced Science and Technology Letters, 114, 136-140.
- Liu Y., (2015). Big data and predictive business analytics. The Journal of Business Forecasting, 33(4), 40-42.
- Bogusz C., (2015), Digital Traces, Ethics, and Insight: Data-driven services in Fintech, Book: The Rise and Development of FinTech, Taylor & Francis.
- Fichman R., (1992). Information Technology Diffusion: A Review of Empirical Research, MIT Sloan School of Management.
- Dhar V., Stein M., (2017). FinTech Platforms and Strategy. Economic and business dimensions, Communications of the ACM, 60(10), 32-35.
- Abi-Lahoud E., et. al., (2017). Linking Data to Understand Th-te Fintech Ecosystem, http://ceur-ws.org/Vol-2044/paper18/paper18.pdf
- Jagtiani J., Lemieux C., (2019). The roles of alternative data and machine learning in fintech lending: Evidence from the Lending Club consumer platform, Financial Management Association International, Wiley publications, https://onlinelibrary.wiley.com/doi/abs/10.1111/fima.12295
- Nann S., et. al., (2013). Predictive Analytics On Public Data - The Case of Stock Markets. Association for Information Systems, https://aisel.aisnet.org/ecis2013_cr/102
- BimBim K., (2019), Fintech Loan Billing is very Troubling - Penagihan Pinjaman Fintech Sangat Meresahkan, petition at https://www.change.org/p/ojk-penagihan-pinjaman-fintech-sangat-meresahkan (accessed 28 January 2019).
- Jumena E., (2018). Fintech Lending Jangan Jadi Digital Rentenir, Kompas, https://ekonomi.kompas.com/read/2018/03/04/223700926/fintechlending-jangan-jadi-digital-rentenir (accessed 6 September 2018).
- Rossiana G., (2018). OJK Calls Fintech Moneylenders, This is Association Defense, CNBC Indonesia, https://www.cnbcindonesia.com/fintech/20180306123942-37-6370/ ojk-sebut-fintech-rentenir-ini-pembelaan-asosiasi (accessed 6 September 2018)
- Yayın Aralığı: Yılda 4 Sayı
- Başlangıç: 2014
- Yayıncı: PressAcademia