The Role of Futures Studies in Anticipatory Governance of Emerging Technologies: Focusing on Financial Technologies

Document Type : Research paper

Authors

1 Department of Management, Faculty of Management, Islamic Azad University, South Tehran Branch, Tehran, Iran

2 Assistant Professor of Technology Management, ,Department of Technology Management, ST.C., Islamic Azad University, Tehran, Iran

3 Advanced Banking Management, Iranian Banking Institute of Higher Education

Abstract

The rapid rise of financial technologies (FinTech) and fundamental transformations within the financial services ecosystem have confronted traditional regulatory paradigms with the "pacing problem"—a situation where the speed of technological innovation outpaces institutional capacities for regulation and supervision, paving the way for emerging systemic risks. Under such circumstances, sole reliance on reactive and ex-post policy-making approaches lacks the necessary efficacy to manage uncertain futures. Therefore, the present research aims to elucidate the strategic role of futures studies in the transition from reactive to anticipatory governance in the realm of financial technologies. To this end, the research was conducted in two phases: In the first phase, a preliminary theoretical framework was extracted using the meta-synthesis method on 38 papers selected from the Web of Science database. In the second phase, this framework served as a basis for directed content analysis on 10 strategic reports from global reference institutions (as field data) to extract precise policy implications. The research findings were organized into three main axes: First, identifying a methodological transition in FinTech futures studies from point forecasting toward a paradigm of resilience and stress testing for managing uncertainty. Second, identifying the megatrends shaping the future of the financial system, particularly the transition to Agentic AI and the deployment of Unified Ledger infrastructures for integrating digital assets. Third, explaining adaptive governance mechanisms, including the shift from the role of a classic supervisor to an "ecosystem architect" and the utilization of tools such as pioneering regimes and smart supervision. Finally, by presenting a conceptual model of a futures-based policy-making cycle, the research demonstrates how the processes of sensing, interpreting, and acting can—in a continuous and learning manner—facilitate a sustainable balance between fostering technological innovations and maintaining financial stability.

Keywords

Main Subjects


Aduba, J. J., & Asgari, B. (2022). Analysing and forecasting the diffusion of electronic payments system in Nigeria. Technology Analysis & Strategic Management, 34(10), 1215-1233. https://doi.org/10.1080/09537325.2021.1950675 .
Alizadeh, P., & Kousari, S. (2023). Providing Strategic Options to Achieve Iran’s Scientific and Technological AuthorityBased on the Integral Framework of Futures. Rahyaft, 33(1), 19-40. (Persian) https://doi.org/10.22034/rahyaft.2024.11495.1460 .
Arora, A., Gupta, S., Devi, C., & Walia, N. (2023). Customer experiences in the era of Artificial Intelligence (AI) in context to FinTech: A fuzzy AHP approach. Benchmarking: An International Journal, 30(10), 4342-4369. https://doi.org/10.1108/BIJ-10-2021-0621.
Banerjee, K., & Ravi Kumar, V. V. (2025). Inclusive fintech: A systematic review and agenda for future research. Cogent Business & Management, 12(1), 2549511. https://doi.org/10.1080/23311975.2025.2549511 .
Bank for International Settlements (BIS). (2025). The unified ledger: A new architecture for the financial system [Report]. BIS Annual Economic Report. https://www.bis.org/publ/arpdf/ar2025e.pdf.
Bao, H., & Roubaud, D. (2022). Non-fungible token: A systematic review and research agenda. Journal of Risk and financial management, 15(5), 215. https://doi.org/10.3390/jrfm15050215 .
Barben, D., Fisher, E., Selin, C., & Guston, D. H. (2008). 38 anticipatory governance of nanotechnology: foresight, engagement, and integration. In E. J. Hackett, O. Amsterdamska, M. Lynch, & J. Wajcman (Eds.), The handbook of science and technology studies (pp. 979-1000). Massachusetts: MIT Press..
Berger, G. (1964). Phénoménologie du temps et prospective. Retrieved from: http://www.laprospective.fr/dyn/francais/memoire/phenominologietemps.pdf .
Bonang, D., Fianto, B. A., & Sukmana, R. (2025). Bibliometric analysis of service quality and customer satisfaction in Islamic banking: A roadmap for future research. Journal of Islamic Marketing, 16(2), 462-483. https://doi.org/10.1108/JIMA-06-2023-0177 .
Brika, S. K. M. (2022). A bibliometric analysis of fintech trends and digital finance. Frontiers in Environmental Science, 9, 796495. https://doi.org/10.3389/fenvs.2021.796495 .
Casagrande, S., & Dallago, B. (2025). Mapping China’s belt and road initiative in Europe: Developments and challenges. Economies, 13(10), 301-328. https://doi.org/10.3390/economies13100301 .
Chinoda, T., & Mingiri Kapingura, F. (2024). Fintech-based financial inclusion and banks’ risk-taking: The role of regulation in Sub-Saharan Africa. Journal of Economic and Administrative Sciences. https://doi.org/10.1108/JEAS-11-2023-0304.
Collingridge, D. (1982). The social control of technology. Manchester: Frances Pinter Publication..
Deloitte. (2025). 2025 banking and capital markets outlook Deloitte Center for Financial Services. https://www.deloitte.com/us/en/insights/industry/financial-services/financial-services-industry-outlooks/banking-industry-outlook.html.
Doumpos, M., Zopounidis, C., Gounopoulos, D., Platanakis, E., & Zhang, W. (2023). Operational research and artificial intelligence methods in banking. European Journal of Operational Research, 306(1), 1-16. https://doi.org/10.1016/j.ejor.2022.04.027.
Esmail, N., Wintle, B. C., t Sas‐Rolfes, M., Athanas, A., Beale, C. M., Bending, Z., ... & Milner‐Gulland, E. J. (2020). Emerging illegal wildlife trade issues: A global horizon scan. Conservation Letters, 13(4), e12715. https://doi.org/10.31219/osf.io/b5azx .
Fathi, M. R., Zeinali, M., Torabi, M., & Alavizadeh, S. M. (2022). Structural analysis of the future of Iranian online banking employing a MICMAC approach. Technological Forecasting and Social Change, 183, 121943. https://doi.org/10.1016/j.techfore.2022.121943 .
Financial Stability Board. (2024). Financial stability implications of artificial intelligen- Executive summary. Retrieved from: https://www.bis.org/fsi/fsisummaries/exsum_23904.pdf.
Firmansyah, E. A., Masri, M., Anshari, M., & Besar, M. H. A. (2022). Factors affecting fintech adoption: A systematic literature review. FinTech, 2(1), 21-33. https://doi.org/10.3390/fintech2010002 .
Gancarczyk, M., Łasak, P., & Gancarczyk, J. (2022). The fintech transformation of banking: Governance dynamics and socio-economic outcomes in spatial contexts. Entrepreneurial Business and Economics Review, 10(3), 143-165..
Gartner. (2024). Top strategic technology trends for 2024: Agentic AI and future of finance. Beijing: Gartner Research Publication..
Genus, A., & Stirling, A. (2018). Collingridge and the dilemma of control: Towards responsible and accountable innovation. Research Policy, 47(1), 61-69. https://doi.org/10.1016/j.respol.2017.09.012.
Godet, M. (2010). Future memories. Technological Forecasting and Social Change, 77(9), 1457-1463. https://doi.org/10.1016/j.techfore.2010.06.008.
Guston, D. H., & Sarewitz, D. (2020). Real-time technology assessment. In Emerging Technologies: Ethics, Law and Governance (pp. 231-247). Abingdon: Routledge. https://doi.org/10.4324/9781003074960-21.
Ha, J., Nam, C., & Kim, S. (2024). A systematic review of mobile payment literature: What has been studied and what should be studied? Telecommunications Policy, 48(7), 102795. https://doi.org/10.1016/j.telpol.2024.102795.
Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288. https://doi.org/10.1177/1049732305276687 .
Hudaefi, F. A., Hassan, M. K., & Abduh, M. (2023). Exploring the development of Islamic fintech ecosystem in Indonesia: A text analytics. Qualitative Research in Financial Markets, 15(3), 514-533. https://doi.org/10.1108/QRFM-04-2022-0058.
Inayatullah, S. (2004). The causal layered analysis reader: Theory, historical context, and case studies. New Taipei City: Tamkang University Press..
International Monetary Fund (IMF). (2018). The Bali Fintech agenda: A blueprint for successfully harnessing Fintech’s opportunities. Retrieved from: https://www.imf.org/en/news/articles/2018/10/11/pr18388-the-bali-fintech-agenda .
Jayasekara, S. D. (2021). Deficient regimes of anti-money laundering and countering the financing of terrorism: Agenda of digital banking and financial inclusion. Journal of Money Laundering Control, 24(1), 150-162. https://doi.org/10.1108/JMLC-04-2020-0035.
Kalifa, R. (2021). The Kalifa review of UK Fintech. HM Treasury. Retrieved from: https://www.gov.uk/government/publications/the-kalifa-review-of-uk-fintech .
Kamal, K., Mustafa, K., Kamal, R., Riaz, Y., Nugent, C., Jumani, F., ... & Javaid, N. (2025). Predicting cryptocurrency prices with ML-DL Models: A hybrid expert system approach. Expert Systems with Applications, 130114. https://doi.org/10.1016/j.eswa.2025.130114 .
Kang, Y. U. A. N., & Duoqi, X. U. (2020). Legal governance on fintech risks: Effects and lessons from China. Asian Journal of Law and Society, 7(2), 275-304. https://doi.org/10.1017/als.2020.14 .
Kaur, R., Uppal, M., Gupta, D., Juneja, S., Arafat, S. Y., Rashid, J., ... & Alroobaea, R. (2025). Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum. PeerJ Computer Science, 11, e2675. https://doi.org/10.7717/peerj-cs.2675.
Khanin, I., Bilozubenko, V., & Sopin, Y. (2022). Improving the level of economic effectiveness of electronic payment services in a global digital economy. Baltic Journal of Economic Studies, 8(1), 148-158. https://doi.org/10.30525/2256-0742/2022-8-1-148-158 .
Kristiana, I., Prabowo, H., Gaol, F. L., & Qomariyah, N. N. (2025). AI-driven nudge optimization: Integrating two-tower networks and multi-armed bandit with behavioral economics for digital banking campaign. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3584648.
Le Tran, V., & Leirvik, T. (2020). Efficiency in the markets of crypto-currencies. Finance Research Letters, 35, 101382. https://doi.org/10.1016/j.frl.2019.101382.
Liu, Y., Abdul Rahman, A., Imna Mohd Amin, S., & Ja’afar, R. (2025). Navigating fintech and banking risks: insights from a systematic literature review. Humanities and Social Sciences Communications, 12(1), 1-16. https://doi.org/10.1057/s41599-025-05055-9 .
Manser Payne, E. H., Dahl, A. J., & Peltier, J. (2021). Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems. Journal of Research in Interactive Marketing, 15(2), 200-222. https://doi.org/10.1108/JRIM-12-2020-0252.
McKinsey & Company. (2024). The rise of embedded finance. McKinsey Global Banking Practice. https://www.mckinsey.com/industries/financial-services/our-insights/global-banking-annual-review-2025.
Mensah, K., Madichie, N. O., Mensah, G. K., & Awini, G. (2022). Consumer intentions, reactance and the marketing implications of policy induced mergers and acquisitions in financial services. International Journal of Bank Marketing, 40(3), 536-557. https://doi.org/10.1108/IJBM-10-2020-0516.
Molla, A., & Biru, A. (2023). The evolution of the Fintech entrepreneurial ecosystem in Africa: An exploratory study and model for future development. Technological Forecasting and Social Change, 186(Part A), 122123. https://doi.org/10.1016/j.techfore.2022.122123.
Namvararabani, Z., & Abbaspour, A. (2021). In search of the model of commercialization of university researches with metasynthesis application. Rahyaft, 31(3), 19-34. (Persian) https://doi.org/10.22034/rahyaft.2022.10876.1263 .
Neelam, K., & Bhattacharya, S. (2022). Financial technology solutions for financial inclusion: A review and future agenda. Australasian Accounting, Business and Finance Journal, 16(5), 170-184. https://doi.org/10.14453/aabfj.v16i5.11.
OECD. (2023). Artificial Intelligence in the Financial sector. OECD Business and Finance Outlook. https://www.oecd.org/en/publications/oecd-business-and-finance-outlook_26172577.html.
Pradana, M., Wai Shiang, C., Abdullah, K. B., Saputri, M. E., & Nabila, F. S. (2025). Revisiting Non-Fungible Token (NFT) research trends: A bibliometric study and future research directions. Cogent Business & Management, 12(1), 2469764. https://doi.org/10.1080/23311975.2025.2469764 .
Puglisi, A. (2024). Policy conservatism and the wirecard Scandal. In D. Goldbarsht & L. de Koker (Eds.), Financial crime, law and governance: Navigating challenges in different contexts (pp. 313-338). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-59547-9.
Rahman, A. M., & Islam, S. (2022). Can voluntary insurance ensure risk-free digital-banking in Chinese-economy: Seeking attentions? Journal of Chinese Economic and Business Studies, 20(2), 139-158. https://doi.org/10.1080/14765284.2021.1929792 .
Safdari Ranjbar, M., & Bagheri Moghadam, N. (2024). A critical review of science and technology priority setting experiences in Iran; Pathology and requirements for improvement. Rahyaft, 34(3), 5-22. (Persian) https://doi.org/10.22034/rahyaft.2025.11853.1554 .
Sánchez, A. T., González-Sierra, J. A., & Hernández, C. C. P. (2023). Futures study to identify trends in the Fintech sector: Application of Natural Language Processing. International Journal of Combinatorial Optimization Problems and Informatics, 14(2), 88-97. https://doi.org/10.61467/2007.1558.2023.v14i2.356.
Sanga, B., & Aziakpono, M. (2023). FinTech and SMEs financing: A systematic literature review and bibliometric analysis. Digital Business, 3(2), 100067. https://doi.org/10.1016/j.digbus.2023.100067 .
Shibahathulla, T. K., Ali, M. A., Gayyor, O., & Ghaffari, A. Z. (2024). The role of automated controls and streamlined compliance in managing risks in digital finance. International Journal of Financial Engineering, 11(03), 2443004. https://doi.org/10.1142/S2424786324430047.
Sun, Y., & Zhang, Q. (2025). Navigating the digital transformation of commercial banks: Embracing innovation in customer emotion analysis. Journal of the Knowledge Economy, 16(1), 3440-3461. https://doi.org/10.1007/s13132-025-02998-x .
Thottoli, M. M. (2024). The tactician role of Fintech in the accounting and auditing field: A bibliometric analysis. Qualitative Research in Financial Markets, 16(2), 213-238. https://doi.org/10.1108/QRFM-11-2021-0196.
Verma, S., Shome, S., & Hassan, M. K. (2023). FinTech in Small and Medium Enterprises (SMEs): A review and future research agenda. European Management Journal, 41(6), 950-971. https://doi.org/10.1016/j.emj.2023.07.003 .
Wang, S. B., Peng, X. H., & Zhang, J. Z. (2023). Digital economy research: A bibliometric analysis of its evolution and future study areas. International Journal of Technology Management, 93(1-2), 87-104. https://doi.org/10.1504/IJTM.2022.10052487.
Wells, H. G. (1902). Anticipations of the reaction of mechanical and scientific progress upon human life and thought (Vol. 3558). New York City: Harper..
World Economic Forum (WEF). (2025). The Future of Global Fintech WEF Insight Report. https://reports.weforum.org/docs/WEF_Future_of_Global_Fintech_Second_Edition_2025.pdf.
World Economic Forum (WEF). (2025). Artificial Intelligence In Financial Services WEF white paper https://reports.weforum.org/docs/WEF_Artificial_Intelligence_in_Financial_Services_2025.pdf.
Zakaria, N., Sulaiman, A., Min, F. S., & Feizollah, A. (2023). Machine learning In the financial industry: A bibliometric approach to evidencing applications. Cogent Social Sciences, 9(2), 2276609. https://doi.org/10.1080/23311886.2023.2276609 .