طراحی مدل فرایندی بقای پلتفرم‌های فین‌تک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، گروه کارآفرینی فناورانه، دانشکده کارآفرینی، دانشگاه تهران، تهران، ایران.

2 دانشیار، گروه کارآفرینی سازمانی، دانشکده کارآفرینی، دانشگاه تهران، تهران، ایران.

3 دانشجوی دکتری، گروه کارآفرینی فناورانه، دانشکده کارآفرینی، دانشگاه تهران، تهران، ایران.

چکیده

هدف: یکی از معضلات بزرگ اقتصاد کشورهای منبع‌محوری مانند ایران، میزان چشمگیر شکست استارتاپ‌های فناوری‌محور، در سال‌های اولیه فعالیت آن‌ها، به‌ویژه در بازارهای رقابتی حوزه‌های نوظهور، مانند حیطه خدمات مالی مبتنی بر فناوری‌های نوین است. از آنجا که هنوز تجارب مدون کافی برای بقا در حوزه خدمات مالی دیجیتال وجود ندارد، تازه‌واردان و صاحبان استارتاپ‌های ارائه‌دهنده پلتفرم‌های مالی و رسانه‌ای مبتنی بر فناوری (فین‌تک‌ها)، به شناختن گام‌های فرایندی نیاز دارند که از شکست استارتاپ آن‌ها جلوگیری کند. هدف این مطالعه، طراحی یک مدل فرایندی است که مسیر بقای پلتفرم‌های فین‌تک را برای ارائه خدمات مالی و ایفای نقش رسانه‌ای خود نشان دهد.
روش: این پژوهش به‌روش کیفی و رویکرد مطالعه موردی چندگانه اجرا شده است. از طریق مصاحبه عمیق با ۱۸ تن از مدیران فین‌تک‌های موفق، برای گام‌های این مدل فرایندی توصیه‌ها و تجویزهایی به‌دست آمد که مسیر دستیابی به بقا را برای فین‌تک‌ها مشخص می‌سازد. همچنین برای اعتبارسنجی مدل، از چهار معیار قابلیت اعتبار، قابلیت اطمینان، قابلیت تأیید و قابلیت انتقال استفاده شد تا صحت علمی آن تأیید شود.
یافته‌ها: برای روشن ساختن فرایندی که فین‌تک‌ها، به‌عنوان یک رسانه مالی، می‌بایست برای بقای خود طی کنند، این مقاله با استفاده از تجارب فین‌تک‌های موفقی که بیش از ۴۲ ماه از عمر فعالیت آن‌ها گذشته، یک مدل فرایندی طراحی کرده است. مراحل این مدل، در پنج فاز کلی پیش‌نیاز، جنینی، پرورش، راه‌اندازی و رشد قرار گرفته است. هر فاز، سازه‌ها و مراحل جزئی‌تری دارد و در ضمیمه مدل، برای هر مرحله توصیه‌های لازم درج شده است.
نتیجه‌گیری: یافته‌های این پژوهش نشان می‌دهد که فین‌تک‌ها، باید برای حفظ بقای خود، فرایندی را به‌صورت هدفمند، تکرارپذیر و رفت‌وبرگشتی طی کنند تا در مواجهه با رقبا، رگولاتورهای بخشی، تأمین‌کنندگان و مشتریان، به‌طور مستمر بتوانند خود را با شرایط جدید و استفاده از فرصت‌ها تطابق دهند. برای این منظور، نقش رسانه‌ای فین‌تک‌ها، اهرم قدرت آن‌ها در جریان‌سازی برای ارائه خدمات نوین مبتنی بر فناوری خواهد بود.

کلیدواژه‌ها


عنوان مقاله [English]

Designing a Process Model of Fintech Platforms’ Survival

نویسندگان [English]

  • Seyed Reza Hejazi 1
  • Nader Seyyedamiri 2
  • Mohammadsajad Shokouhi Bidhandi 3
1 Associate Prof., Department of Technological Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.
2 Associate Prof., Department of Corporate Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.
3 Ph.D. Candidate, Department of Technological Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.
چکیده [English]

Objective
In the past decade, with the emergence of financial technology startups known as "FinTech", economic models and traditional market activity in the field of financial services underwent a complete transformation, and traditional approaches gave way to new ideas of providing financial services using various technologies. Nowadays, despite the influential role of fintechs in the digital economy of every country and the necessity of their survival for the economic stability and media transparency of countries, research conducted in the existing literature is not rich enough. They rarely model the process that fintechs should be in order to survive and most of the studies related to this field have dealt with other issues such as factors affecting survival. This is in a situation where due to the emerging nature of fintech ecosystem services and their flexible and evolving nature, and also the complexity and multi-dimensionality of their field of activity with the momentary changes of customers' tastes and needs, entrepreneurs are confronting many challenges in order to master all matters. On the other hand, the emerging fintech ecosystem has also created many gaps in regulatory activities, and the country's legislative system has not yet found a mature approach to this ecosystem and has become an obstacle to the survival, growth and development of startups by imposing cumbersome laws. In this situation, the survival of fintech startups is exposed to a high risk, since due to the high number of financial transactions in fintechs, in case of ignorance of the ways to maintain survival, the damages caused by their failure will bring on serious damage to the economic body of the country. As there is still lack of sufficient documented experience for survival in the field of digital financial services, newcomers and owners of fintech startups providing financial platforms need to know the process preventing their startup from failing. Therefore, the issue of this research is the lack of transparency of the fintech platforms’ success path in order to provide financial services and play the media role, and also not knowing the steps of the process that must be taken for survival. Considering the high rate of exit and unsustainability of businesses in Iran, it is necessary to look for a model to reduce the failure rate of active startups in the country. This is why the present article intends to design a model using the experience of successful fintechs that have survived in the early years of their activity to introduce the process that leads to survival with a prescriptive approach. The purpose of choosing this topic is to identify the mechanism of implementation of solutions to increase the survival chance of fintech platforms and to obtain a process model to provide recommendations and solutions to reduce the probability of startups’ failure in order to create knowledge about the survival process of startups and also to present the steps that should be taken to maintain survival.
Research Methodology
The method of this research is qualitative and of the multiple case study type by in-depth interview used to collect data from 18 senior managers of successful fintechs. By coding the data in the first cycle and the second cycle, the main structures of this process model were designed and for each stage, recommendations and prescriptions were obtained which defines the path to achieve fintechs’ survival. To validate the model, four criteria were used to confirm its scientific accuracy: 1) credibility 2) reliability 3) verifiability and 4) transferability.

To validate the model using reliability, after the initial design of the process model, it was again controlled and reviewed by all participants, and the research model was modified based on the feedback. In addition, in order to ensure the accuracy of the research, the entire process of doing the work was reviewed by colleagues and the final result was modified based on the feedback. Also, to increase credibility, the participants in the research sample were selected with the maximum variety of experience.
To validate the model using reliability, in this research, the researcher used the first and second cycle coding, and the reliability of the research has been increased with the direct quotes of the interviewees and their exact words. In addition, one of the ways to increase reliability is to control the mental biases of the researcher during data collection, in this research, during the interviews, an external observer was used to carefully check the data in order to reduce biases and increase the stability of the research.
To validate the model using verifiability, in this research, in order to track the progress of the research and provide the possibility of auditing the research by the audience and readers, all the stages of research and data collection have been fully described so that the progress process from beginning to end be fully traceable.
To validate the model using transferability, increasing the transferability criterion and generalizing the research results in other fintechs, interviews were conducted from the maximum diversity of the studied companies by choosing from different types of fintech.

In this research, this model has been tried to be a process that can be used for newcomers of fintech so that they can take the necessary steps to increase the survival of fintech by sharing the experience of successful entrepreneurs and transferring the concepts of the model to the activity platform of newcomers and those who intend to launch their own platform. Also, one of the ways to increase the transferability is to increase the suitability of the data with the environment of study, which can be investigated by providing more details regarding the participants and the characteristics of the environment. In this research, the information related to the statistical population of the research and the research sample is stated in general, and in the section of presenting the research results, the proposal for the design and development of this model in fields other than fintech is also presented.
Findings
To clarify the process in which fintechs, as a financial medium, must go through to guaranty their survival, this article has designed a process model using the experience of successful fintechs that have been active for more than 42 months. The stages of this model have five phases: prerequisite, embryonic, breeding, launching and growth, and each phase has more detailed structures and stages that are included in the appendix of the model with necessary recommendations for each stage. In the theoretical contribution of this research, an attempt has been made to change the way entrepreneurs look at the concept of survival by relying on the experience of experts and the designed model, and the most important theoretical contribution of this research is to change the way of looking at failure and survival. Failure means gaining experience and it is a stage of success that should lead to accurate learning and not repeating mistakes. Fast decision-making is the key to survival in the dynamic and turbulent environment of the fintech ecosystem. Based on the designed model, the entrepreneur must first be alert to the changes in his environment by continuously monitoring the environment in order to catch opportunities and follow up the design and development of the product and business at the same time because in fintech, the product and the business are interdependent and not separate from each other. The type of entrepreneur's viewpoint on moderation in the amount of innovation, the type of communication with big and long-standing competitors, as well as the way of interacting with regulators and supervisory bodies are among the other findings of this research in the analysis of the collected data.
Discussion & Conclusion
According to the survival model of fintech platforms, in the process of identifying opportunities for fintech startups, the entrepreneur should monitor the environment by relying on his previous experience and skills to identify, evaluate, screen and select suitable opportunities for exploitation. For the conceptual design of the product, based on the needs of customers and existing priorities, ideation, design and development of the initial concept and its evaluation should be done in order to choose the best possible product concept. The product development process is a cycle of producing, measuring and learning, during which the prototype produced is tested for a small group of customers and the necessary modifications are made based on the feedback to be ready to be presented in the market. With the formation of founders’ team, the business concept should be designed based on the vision and mission of the company. To achieve this purpose, it is necessary to identify the target customers and their needs by studying the market and its segmentation, and by analyzing the competition situation in the market, design a business model. In case the business model would not meet the needs of the market and offer products, then it is necessary to study the market again and go through this process. In order to expand the business, company strategies should be developed, financial model should be defined, services should be priced, suppliers and possible risks, geographic location, company size and marketing methods should be determined based on the designed business concept in order to have a business plan. If this business plan is not suitable for business development and is not scalable and repeatable, you should revise the strategies and go through this process again. Another special feature of this model is the synchronization of product design and development and business design and development. In fintech platforms, business is not a separate concept from the product, and these two stages must go in accordance with each other and at the same time. To set up the company, it is necessary to develop customers and form functional departments and try to attract capital, develop infrastructure, and solve legal issues by using professional consultants after providing the basic physical facilities and recruiting the necessary forces. For the commercialization and growth of the company, it is necessary to implement marketing plans on a larger scale, grow by networking and interacting with regulators, increase the size of its market share, and by continuously monitoring the changes in the national and international environment, be ready to review and rotate the previous steps related to the product and business to make appropriate reactions. Therefore, the findings of this research show that in order to maintain the survival of their platforms, fintechs must go through a process in a targeted, scalable, repeatable and iterative way in order to face competitors, sector regulators, suppliers and customers, constantly able to adapt to new conditions and use the opportunities. For this purpose, the media role of fintechs will be the lever of their power in streamlining to provide new technology-based services.

کلیدواژه‌ها [English]

  • Digital financial services
  • Financial media
  • Fintech
  • Prescriptive process model
  • Survival
Baron, R. A. & Henry, R. A. (2011). Entrepreneurship: The genesis of organizations. In APA handbook of industrial and organizational psychology, Vol 1: Building and developing the organization. (241-273). American Psychological Association.
Bhave, M. P. (1994). A process model of entrepreneurial venture creation. Journal of Business Venturing, 9, 223-242.
Bhutto, S. A., Jamal, Y. & Ullah, S. (2023). FinTech adoption, HR competency potential, service innovation and firm growth in banking sector. Heliyon, 9(3).
Borland, K. W. (2017). Alive, Survive, Strive, Thrive: A Grounded Conceptual Sustainability Taxonomy. Journal of Sustainability Education, 12.
Bosma, N., Acs, Z. J., Autio, E., Coduras, A. & Levie, J. (2008). Global Entrepreneurship Monitor (GEM) Executive Report.
Camisón-Haba, S., Clemente-Almendros, J. A. & Gonzalez-Cruz, T. (2019). How technology-based firms become also highly innovative firms? The role of knowledge, technological and managerial capabilities, and entrepreneurs’ background. Journal of Innovation and Knowledge, 4, 162–170.
Castrogiovanni, G. J. (1996). Pre-startup planning and the survival of new small businesses: Theoretical linkages. Journal of Management, 22 (6), 801-822.
Cowling, M. (2006). Early stage survival and growth. The life cycle of entrepreneurial ventures, 479-506.
Criaco, G., Minola, T., Migliorini, P. & Serarols-Tarre´s, C. (2014). To have and have not: founders’ human capital and university start-up survival. Journal of Technology Transfer. 39, 567-593.
Cunneen, D.J., Mankelow, G. J. & Gibson, B. (2007). Towards a Process Model of Independent Growth Firm Creation. Small Enterprise Research, 15 (1), 90-105.
Del Sarto, N., Di Minin, A., Ferrigno, G. & Piccaluga, A. (2019). Born global and well educated: start-up survival through fuzzy set analysis. Small Business Economics, 56, 1405–1423.
Eckert, C. M. & Stacey, M. K. (2010). What is a process model? Reflections on the epistemology of design process models. Modelling and Management of Engineering Processes. Chapter 1. 3-14.
Eckert, C. M. (2006). Generic and specific process models: Lessons from modelling the knitwear design process. Proceedings of TMCE, 681-692.
Forero, R., Nahidi, S., De Costa, J., Mohsin, M., Fitzgerald, G., Gibson, N., McCarthy, S. & Aboagye-Sarfo, P. (2018). Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine. BMC Health Services Research, 18 (120), 1-11.
Fudickar, R. & Hottenrott, H. (2018). Public research and the innovation performance of new technology based firms. The Journal of Technology Transfer, 44, 326–358.
Groenewegen, G. & Langen, F. (2012). Critical success factors of the survival of start-ups with a radical innovation. Journal of Applied Economics and Business Research JAEBR, 2 (3), 155-171.
Guba, E. G. & Lincoln, Y. S. (1989). Fourth Generation Evaluation. Sage Publications.
Haudi, H., Handayani, W., Musnaini, M., Suyoto, Y., Prasetio, T., Pitaloka, E. & Cahyon, Y. (2022). The effect of social media marketing on brand trust, brand equity and brand loyalty. International Journal of Data and Network Science, 6 (3), 961-972.
Hill, S., Ionescu-Somers, A., Coduras Martínez, A., Guerrero, M., Menipaz, E., Boutaleb, F., Zbierowski, P., Schøtt, T., Sahasranamam, S. & Shay, J. (2023). Global entrepreneurship monitor 2022/2023 global report: Adapting to a "New Normal". In (94-100): Global Entrepreneurship Research Association, Babson College.
Hilong, L. (2023). Effectiveness of social media to attract customers for start-up business. International Journal of Management and Human Science (IJMHS), 7 (1), 16-23.
Jayaprakash, H. (2023). Fintech, crisis, and marketing: How technology-driven financial firms adapt their approach to retain customers. In Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023) 242, 309 Springer Nature.
Jo, D. H. & Kim, J. Y. (2018). An exploratory study on success factors of technology-based start-ups. Journal of Internet Computing and Services (JICS), 19 (6), 113-123.
Kerr, P. S., Kerr, W. R. & Xu, T. (2017). Personality traits of entrepreneurs: a review of recent literature. Foundations and Trends in Entrepreneurship, 14 (3), 279-356.
Koubarakis, M. & Plexousakis, D. (1999). Business process modelling and design: A formal model and methodology. BT Technology Journal. 17, 23–35.
Lipman, E.L., Kenny, M., Jack, S., Cameron, R., Secord, M. & Byrne, C. (2010). Understanding how education/support groups help lone mothers, BMC Public Health, 10 (4).
Littunen, H. (2000). Networks and local environmental characteristics in the survival of new firms. Small Business Economics, 15, 59-71.
Lyles, M. A., Saxton, T. & Watson, K. (2004). Venture survival in a transitional economy. Journal of Management, 30 (3), 351–375.
Mariscal, G., Marban, O. & Fernandez, C. (2010). A survey of data mining and knowledge discovery process models and methodologies. The Knowledge Engineering Review. 25 (2), 137-166.
Martin, D. L., Brewer, M. K. & Barr, N. (2011). Gradually Guiding Nursing Students through Their Capstone Course: Registered Nurse Preceptors Share Their Experiences, Nursing Research and Practice.
Miles, M. B., Huberman, A. M. & Saldana, J. (2019). Qualitative data analysis, a methods sourcebook. Fourth edition.
Oh, S., Park, M. J., Kim, T. Y. & Shin, J. (2023). Marketing strategies for fintech companies: text data analysis of social media posts. Management Decision, 61 (1), 243-268.
Pawson, R., Boaz, A., Grayson, L., Long, A. & Barnes, C. (2003). Types of quality of knowledge in social care. London: Social Care Institute for Excellence.
Prokop, D., Huggins, R. & Bristow, G. (2019). The survival of academic spinoff companies: An empirical study of key determinants. International Small Business Journal, 37 (5), 502-535.
Rolland, C., Prakash, N. & Benjamen, A. (1999). A multi-model view of process modelling. Requirements Engineering, Springer Verlag. 169-187.
Saemundsson, R. J. & Candib, M. (2017). Absorptive capacity and the identification of opportunities in new technology-based firms. Technovation, 64, 43-49.
Soeta, R., Sembel, R. & Malau, M. (2023). The effect of social influence and platform reputation toward trust, investment intention, and actual investment on SMEs with peer-to-peer lending platform. Keynesia: International Journal of Economy and Business, 2 (1), 1-12.
Streubert, S. H. & Rinaldi, C. D. (2011). Qualitative research in nursing: advancing the humanistic imperative, 33-55.
Tania, S., Listiana, E. & Afifah, N. (2023). Social media marketing and word of mouth on product purchase intentions at bibit FinTech startup with the mediation of brand awareness. Journal of Economics, Management and Trade, 29 (2), 1-15.
Tobin, G. A. & Begley, C. M. (2004). Methodological rigour within a qualitative framework. Journal of advanced nursing, Methodological issues in nursing research, 48 (4), 388-396.
Venkatraman, S., Van de ven, A. H., Buckeye, J. & Hudson, R. (1990). Starting up in a turbulent environment: a process model of failure among firms with high customer dependence. Journal of Business Venturing, 5, 277-295.
Weske, M. (2007). Business process management, concepts, languages, architectures. Springer-Verlag Berlin Heidelberg.
Zhou, X. & Chen, S. (2021). FinTech innovation regulation based on reputation theory with the participation of new media. Pacific-Basin Finance Journal, 67, 101565.