Thematics & GTAIM > GTAIM - New IS issues in FinanceGTAIM - New IS issues in finance
Modern financial systems can be considered as adaptive and complex 'socio-technical' systems (Somerville et al. 2012, Cliff & Northrop, 2011). Adaptive because they are organised around information and communication technologies that evolve over time in response to data collected and experience gained. Complex, because they allow for the emergence of sometimes unpredictable, disruptive and unexpected behaviour. It is therefore impossible to understand the dynamics of financial systems without looking at the interactions between their technological architecture and human behaviour. These observations can be made both in terms of market finance (algorithmic trading), corporate finance (robo-advisors, trading agents) and in terms of payment methods with crypto-currencies. But they can also be extended to the broader theme of institutions and the transformation of strategies, modes of governance and modes of organisation of financial players. New ecosystems are emerging (alternative finance, smart money), old ones are evolving (open banking, neobanking) and with them, the uses and practices of both the profession and the end users of financial services. In order to channel these new uses, financial regulation is tending to integrate more and more all stakeholders (algorithm designers, traders, financial institutions, market operators, regulators and public policy objectives). Encapsulating the knowledge and experience of these stakeholders, based on their history and uses, within a unified conceptual framework could be the key to the emergence of a regulation adapted to these transformations (cf. "Call for Evidence" published by ESMA in 2021). For example, just as financial theory has been interested in the psychology of the investor, transdisciplinary collaborations would allow us to better understand the psychology of the designer/programmer of trading systems. Does his education and experience (financial or not) influence his conception of DAS? How does he conceive of risk even though he is distanced from the decision in time and therefore emotionally? The non-neutrality of financial algorithm designers is an essential line of research in understanding contemporary finance. Keeping IS at the heart of this project, several lines of thought can emerge:
Among the themes connected to these questions, we can cite a non-exhaustive list:
Leaders of the GTAIM : Iryna Veryzhenko (LIRSA- CNAM - iryna.veryzhenko@lecnam.net)
Numéro Spécial SIM
Nous avons le plaisir de vous annoncer qu’en lien avec le GTAIM, nous proposons la coordination d’un numéro spécial SIM « Challenges, Opportunités et Leviers en Finance Digitale ». Les soumissions d’articles complets au sein de la conférence pourront être considérées pour ce numéro (FR et EN) !
More information on the GTAIM
Indicative bibliography Bibliographie indicative :Cliff D., Northrop L. (2011), “The Global Financial Markets : An Ultra-Large-Scale Systems Perspective“, UK Government Office for Science, 47 p Hendershott, T., Zhang, X., Zhao, J. L., & Zheng, Z. (2021). “FinTech as a Game Changer: Overview of Research Frontiers”, Information Systems Research, 32(1), 1-17. Haried, P., Han, Y., & Annino, D. (2021). FinTech in Information Systems Research: A 2010-2020 Review of the AIS Senior Scholars’ Basket. Journal of International Technology and Information Management, 30(2), 1-29. Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of management information systems, 35(1), 220-265. Gleasure, R., Conboy, K., & Morgan, L. (2019). Talking up a storm: How backers use public discourse to exert control in crowdfunded systems development projects. Information Systems Research, 30(2), 447-465. Gozman, D., & Currie, W. (2014). The role of investment management systems in regulatory compliance: A post-financial crisis study of displacement mechanisms. Journal of Information Technology, 29(1), 44-58. Rossi, M., Mueller-Bloch, C., Thatcher, J. B., & Beck, R. (2019). Blockchain research in information systems: Current trends and an inclusive future research agenda. Journal of the Association for Information Systems, 20(9), 14.
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