Designing the Insurance Coverage Model for FinTech Startups: A Novel Approach to the Necessity of Digital Transformation Track of in Insurance

Document Type : Research Paper

Authors

Department of Business Management, Rasht Branch, Islamic Azad University, Rasht, Iran

Abstract

As FinTech startups grow and develop, the nature of risks that need to be managed also changes. The insurance industry as one area of technology application plays a crucial role in supporting and enhancing the security of these companies. The purpose of this research is to identify the influencing factors and discover a paradigm model for insurance coverage of FinTech startups as an innovative product. The research method is qualitatively based on the Grounded Theory Method. The qualitative part includes semi-structured interviews with fourteen experts. The research conclusions show that the causal conditions provide requirements for the core category. Insurance strategies have an impact when context conditions are present. On the other hand, the COVID-19 crisis is known as the intervening condition. Ultimately, the use of strategies also yields consequences.

Keywords

Main Subjects


Abbaszadeh, M., Abbaszadeh, M. (2012). Validity and reliability in qualitative researches. Journal of Applied Sociology, 23(1), 19-34. https://dorl.net/dor/20.1001.1.20085745.1391.23.1.2.5
Anagnostopoulos, I. (2018). Fintech and regtech: Impact on regulators and banks. Journal of Economics and Business, 100, 7–25. https://doi.org/10.1016/j.jeconbus.2018.07.003
Arkanuddin, M. F., Saragih, F. D., & Nugroho, B. Y. (2021). The Key Role of the Financial Regulation in FinTech Ecosystem: A Model Validation. Studies of Applied Economics, 39(12). https://doi.org/10.25115/eea.v39i12.6239
Babchuk, W. A., & Boswell, E. (2023). Grounded theory. International Encyclopedia of Education(Fourth Edition), 107–122. https://doi.org/10.1016/b978-0-12-818630-5.11013-9
Babchuk, W.A., Guetterman, T.C., Garrett, A.L., 2017. A horse of a different color: establishing validity and reliability in qualitative research. In: Proceedings of the 36th Annual Research-To-Practice Conference in Adult and Higher Education. University of Central Oklahoma, Memphis, TN.
Babchuk, W.A., 1997. The Rediscovery of Grounded Theory: Strategies for Qualitative Research in Adult Education. Doctoral Dissertation. The University of Nebraska-Lincoln, Lincoln, Nebraska
Bahrami, F., Kanaani, F., Turkina, E., Moin, M., Shahbazi, M. (2021). Key Challenges in Big Data Startups: An Exploratory Study in Iran. Iranian Journal of Management Studies, 14(2), 273-289. doi: 10.22059/ijms.2020.303163.674082
Braun, A., & Schreiber, F. (2017). The current InsurTech landscape: business models and disruptive potential (Vol. 62). Institute of Insurance Economics I. VW-HSG, University of St. Gallen.
Brophy, R. (2019). Blockchain and insurance: a review for operations and regulation. Journal of Financial Regulation and Compliance, 28(2), 215–234. https://doi.org/10.1108/jfrc-09-2018-0127
Bryant, A., Charmaz, K., 2007a. Grounded theory in historical perspective: an epistemological account. In: The Sage Handbook of Grounded Theory. Sage, Thousand Oaks, CA, pp. 31–57. https://doi.org/10.4135/9781848607941.n1
Bühler, P. & Universität St. Gallen. Institut für Versicherungswirtschaft. (2015). Industrialisierung der Assekuranz in einer digitalen Welt. Institut d’Estudis Catalans.
Cappiello, A. (2020). The Digital (R)evolution of Insurance Business Models. American Journal of Economics and Business Administration, 12(1), 1–13. https://doi.org/10.3844/ajebasp.2020.1.13
Charmaz, K., 2014. Constructing Grounded Theory. SAGE.
Chen, Baotong, Jiafu Wan, Lei Shu, Peng Li, Mithun Mukherjee, and Boxing Yin. (2017) "Smart factory of industry 4.0: Key technologies, application case, and challenges." Ieee Access 6: 6505-6519
Corbin, J., & Strauss, A. (2015). Basics of Qualitative research techniques and procedures for developing grounded theory (4th ed.). SAGE Publications Inc.
Creswell, J., Guetterman, T., 2019. Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, sixth ed. Pearson Education, New York, US
Creswell, J. W. (2005), Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (2nd edition).
Danaeifard, H., Emami, S. (2007). Strategies of Qualitative Research: A Reflection on Grounded Theory. Strategic Management Thought, 1(2), 69-97. doi: 10.30497/smt.2007.104
Danaeifard, H., Alvani, M., Azar, A. (2004). Qualitative Research Methodology in Management. Tehran: Saffar Publications.
Doupe, P., Faghmous, J., & Basu, S. (2019). Machine Learning for Health Services Researchers. Value in Health, 22(7), 808–815. https://doi.org/10.1016/j.jval.2019.02.012
Eling, M., Nuessle, D., & Staubli, J. (2021). The impact of artificial intelligence along the insurance value chain and on the insurability of risks. The Geneva Papers on Risk and Insurance - Issues and Practice, 47(2), 205–241. https://doi.org/10.1057/s41288-020-00201-7
Eling, M., & Lehmann, M. (2017). The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks. The Geneva Papers on Risk and Insurance - Issues and Practice, 43(3), 359–396. https://doi.org/10.1057/s41288-017-0073-0
Ferasatkhah, Moghsoud (2016). Qualitative research methods in the social sciences. Second edition. Tehran:  Agah Publications.
Gheidar, Y., ShamiZanjani, M. (2021). Designing a Conceptual Framework for Digital Employee Experience. Iranian Journal of Management Studies, 14(4), 669-680. doi: 10.22059/ijms.2020.305871.674131
Giardino, C., Unterkalmsteiner, M., Paternoster, N., Gorschek, T. and Abrahamsson, P. (2014), “What do
Gimpel, H., Rau, D., & Röglinger, M. (2017). Understanding FinTech start-ups – a taxonomy of consumer-oriented service offerings. Electronic Markets, 28(3), 245–264. https://doi.org/10.1007/s12525-017-0275-0
Golafshani, Nahid (2003), Underestanding Reliability and Validity in Qualitative Research, The Qualitative Report, Volume 8, Number 4, pp: 597-607.
Grima, S., Spiteri, J., & Romānova, I. (2020). A STEEP framework analysis of the key factors impacting the use of blockchain technology in the insurance industry. The Geneva Papers on Risk and Insurance - Issues and Practice, 45(3), 398–425. https://doi.org/10.1057/s41288-020-00162-x
Guetterman, T.C., Babchuk, W.A., Howell Smith, M.C., Stevens, J., 2019. Contemporary approaches to mixed methods—grounded theory research: a field-based analysis. J. Mix. Methods Res. 13, 179–195. https://doi.org/10.1177/1558689817710877.
Guetterman, T.C., 2015. Descriptions of sampling practices within five approaches to qualitative research in education and the health sciences. Forum Qual. Soc. Res. 16, Art. 25.
Hoffmann, C. H. (2020). A double design-science perspective of entrepreneurship – the example of smart contracts in the insurance market. Journal of Work-Applied Management, 13(1), 69–87. https://doi.org/10.1108/jwam-08-2020-0037
Kakhki, F. D., Freeman, S. A., & Mosher, G. A. (2020). Applied Machine Learning in Agro-Manufacturing Occupational Incidents. Procedia Manufacturing, 48, 24–30. https://doi.org/10.1016/j.promfg.2020.05.016
Kelle, U., 2019. The status of theories and models in grounded theory. In: Bryant, A., Charmaz, K. (Eds.), The Sage Handbook of Current Developments in Grounded Theory. Sage, Thousand Oaks, CA, pp. 68–88.
Keong, O. C., Leong, T. K., Bio, C. J. (2020). Perceived Risk Factors Affect Intention To Use FinTech. Journal of Accounting and Finance in Emerging Economies, 6(2), 453-463
Khosropour, H., Rahimi, A. & Ebrahimkhan, M, H. (2022). Recognition of the Critical Success Factors and Challenges of FinTech Regulatory Sandbox in Iran. Journal of Science & Technology Policy, 14(4), 1-16. {In Persian}. DOI: 10.22034/jstp.2022.14.4.1429
Lanfranchi, D., & Grassi, L. (2021). Translating technological innovation into efficiency: the case of US public P&C insurance companies. Eurasian Business Review, 11(4), 565–585. https://doi.org/10.1007/s40821-021-00189-7
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/j.bushor.2017.09.003
Li, J., Li, J., Zhu, X., Yao, Y., & Casu, B. (2020). Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S. International Review of Financial Analysis, 71, 101544. https://doi.org/10.1016/j.irfa.2020.101544
Lukonga, I. (2018). Fintech, Inclusive Growth and Cyber Risks: Focus on the MENAP and CCA Regions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3267228
Manyika, J., Lund, S., Singer, M., White, O., & Berry, Ch. (2016). How digital finance could boost growth in emerging economies. McKinsey Global Institute.
Marano, P. (2021). Management of Distribution Risks and Digital Transformation of Insurance Distribution—A Regulatory Gap in the IDD. Risks, 9(8), 143. https://doi.org/10.3390/risks9080143
Medoh, C., & Telukdarie, A. (2022). The Future of Cybersecurity: A System Dynamics Approach. Procedia Computer Science, 200, 318–326. https://doi.org/10.1016/j.procs.2022.01.230
Middler, E. A., Lebedev, V. A., Vasilenko, Y. V., & Melkovskaya, K. R. (2020). Comprehensive Corporate Insurance Programs in the Risk Management System of a Manufacturing Enterprise. IOP Conference Series: Materials Science and Engineering, 753(5), 052063. https://doi.org/10.1088/1757-899x/753/5/052063
Nicoletti, B. (2017). A Business Model for Insurtech Initiatives. The Future of FinTech, 211–249. https://doi.org/10.1007/978-3-319-51415-4_8
Pauch, D., & Bera, A. (2022). Digitization in the insurance sector – challenges in the face of the Covid-19 pandemic. Procedia Computer Science, 207, 1677–1684. https://doi.org/10.1016/j.procs.2022.09.225
Pisoni, G. (2020). Going digital: case study of an Italian insurance company. Journal of Business Strategy, 42(2), 106–115. https://doi.org/10.1108/jbs-11-2019-0225
Pukala, R. (2021). Impact of financial risk on the operation of Start-ups. Access Journal - Access to Science, Business, Innovation in the Digital Economy, 2(1), 40–49. https://doi.org/10.46656/access.2021.2.1(4)
Pukala, R., Sira, E., & Vavrek, R. (2018). Risk management and financing among Start-ups. Marketing and Management of Innovations, 3, 153–161. https://doi.org/10.21272/mmi.2018.3-13
Rafay, A. (2019). Preface: FinTech as a Disruptive Technology for Financial Institutions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3376358
Rawat, S., Rawat, A., Kumar, D., & Sabitha, A. S. (2021). Application of machine learning and data visualization techniques for decision support in the insurance sector. International Journal of Information Management Data Insights, 1(2), 100012. https://doi.org/10.1016/j.jjimei.2021.100012
Riikkinen, M., Saarijärvi, H., Sarlin, P., & Lähteenmäki, I. (2018). Using artificial intelligence to create value in insurance. International Journal of Bank Marketing, 36(6), 1145–1168. https://doi.org/10.1108/ijbm-01-2017-0015
Sitek E. (2009). Ryzyko międzynarodowej działalności inwestycyjnej, Wydawnictwo Politechniki Częstochowskiej, Częstochowa 2009, str.29.
Stoeckli, E., Dremel, C., & Uebernickel, F. (2018). Exploring characteristics and transformational capabilities of InsurTech innovations to understand insurance value creation in a digital world. Electronic Markets, 28(3), 287–305. https://doi.org/10.1007/s12525-018-0304-7
Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research–Techniques and Procedures for Developing Grounded Theory. (2nd ed.). CA: Sage.
Strauss, A., Corbin, J., 1998. Basics of Qualitative Research Techniques. Sage, Thousand Oaks, CA
Strauss, A., & Corbin, J. (1994). Grounded theory methodology: An overview. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 273–285). Sage Publications, Inc.
Strauss, A., Corbin, J., 1990. Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Sage, Newbury Park, CA.
Tang, K. L., Ooi, C. K., & Chong, J. B. (2020). Perceived Risk Factors Affect Intention To Use FinTech. Journal of Accounting and Finance in Emerging Economies, 6(2), 453–463. https://doi.org/10.26710/jafee.v6i2.1101
Teberga, P. M. F., Oliva, F. L., & Kotabe, M. (2018, January 8). Risk analysis in introduction of new technologies by start-ups in the Brazilian market. Management Decision, 56(1), 64–86. https://doi.org/10.1108/md-04-2017-0337
Thakor, A. V. (2020). Fintech and banking: What do we know? Journal of Financial Intermediation, 41, 100833. https://doi.org/10.1016/j.jfi.2019.100833
Tsyganov, A.A. and Bryzgalov, D.V. “Cifrovizaciya strahovogo rynka: zadachi, problem I perspektivy”, Digitalization of the insurance market: tasks, problems and prospects, Ekonomika. Nalogi. Pravo, 2, pp.111-120, 2018 (in Russian)
Varshosaz, B., Shooshtari, B. (2021). Analyzing Economic Aspects of Fintech Businesses and Promoting a Development Model to Strengthen Economic Defense. Defense Economics, 6(19), 43-70. https://dorl.net/dor/20.1001.1.25382454.1400.6.19.2.1
Wang, Q. (2021). THE IMPACT OF INSURTECH ON CHINESE INSURANCE INDUSTRY. Procedia Computer Science, 187, 30–35. https://doi.org/10.1016/j.procs.2021.04.030
Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893–1911. https://doi.org/10.3390/jtaer16050106
Yan, T., Schulte, P., & Chuen, D.L. (2018). InsurTech and FinTech: Banking and Insurance Enablement.
Yang, W., & Zhou, J. (2021). Service Innovation of Insurance Data Based on Cloud Computing in the Era of Big Data. Complexity, 2021, 1–10. https://doi.org/10.1155/2021/2303129
Yu, J. & Yen, B. (2018). A Cryptocurrency based Insurance. Model. In Proceedings of The 18th International. Conference on Electronic Business (pp. 9-27).
Zarifis, A., & Cheng, X. (2022). A model of trust in Fintech and trust in Insurtech: How Artificial Intelligence and the context influence it. Journal of Behavioral and Experimental Finance, 36, 100739. https://doi.org/10.1016/j.jbef.2022.100739
Zeller, G., & Scherer, M. (2021). A comprehensive model for cyber risk based on marked point processes and its application to insurance. European Actuarial Journal, 12(1), 33–85. https://doi.org/10.1007/s13385-021-00290-1