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Impact of insurers’ technology accessibility as private information on market structure

Published online by Cambridge University Press:  13 May 2025

Jieyu Lin
Affiliation:
Faculty of Business, Lingnan University, Hong Kong, PR China
Yan Zeng*
Affiliation:
Lingnan College, Sun Yat-sen University, Guangzhou, PR China
*
Corresponding author: Yan Zeng; Email: [email protected]

Abstract

This paper develops a theoretical framework to examine the technology adoption decisions of insurers and their impact on market share, considering heterogeneous customers and two representative insurers. Intuitively, when technology accessibility is observable, an insurer’s access to a new technology increases its market share, no matter whether it adopts the technology or not. However, when technology accessibility is unobservable, the insurer’s access to the new technology has additional side effects on its market share. First, the insurer may apply the available technology even if it increases costs and premiums, thereby decreasing market share. Second, the unobservable technology accessibility leads customers to expect that all insurers might have access to the new technology and underestimate the premium of those without access. This also decreases the market share of an insurer with access to the new technology. Our findings help explain the unclear relationship between technology adoption and the market share of insurance companies in practice.

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The International Actuarial Association

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References

Albrecher, H., Bommier, A., Filipović, D., Koch-Medina, P., Loisel, S. and Schmeiser, H. (2019). Insurance: Models, digitalization, and data science. European Actuarial Journal, 9(2), 349360.CrossRefGoogle Scholar
Autor, D., Dorn, D., Katz, L.F., Patterson, C. and Van Reenen, J. (2020). The fall of the labor share and the rise of superstar firms. Quarterly Journal of Economics, 135(2), 645709.CrossRefGoogle Scholar
Bardey, D., De Donder, P. and Mantilla, C. (2019). How is the trade-off between adverse selection and discrimination risk affected by genetic testing? Theory and experiment. Journal of Health Economics, 68, 102223.CrossRefGoogle Scholar
Bauer, D., Leverty, J.T., Schmit, J. and Sydnor, J. (2021). Symposium on insure-tech, digitalization, and big-data techniques in risk management and insurance. Journal of Risk and Insurance, 88(3), 525528.CrossRefGoogle Scholar
Chiang, W.Y.K., Chhajed, D. and Hess, J.D. (2003). Direct marketing, indirect profits: A strategic analysis of dual-channel supply-chain design. Management Science, 49(1), 120.CrossRefGoogle Scholar
Chronopoulos, M. and Lumbreras, S. (2017). Optimal regime switching under risk aversion and uncertainty. European Journal of Operational Research, 256(2), 543555.CrossRefGoogle Scholar
Cooper, R. and Hayes, B. (1987). Multi-period insurance contracts. International Journal of Industrial Organization, 5(2), 211231.CrossRefGoogle Scholar
de Garidel-Thoron, T. (2005). Welfare-improving asymmetric information in dynamic insurance markets. Journal of Political Economy, 113(1), 121150.CrossRefGoogle Scholar
Einav, L., Finkelstein, A. and Cullen, M.R. (2010). Estimating welfare in insurance markets using variation in prices. Quarterly Journal of Economics, 125(3), 877921.CrossRefGoogle ScholarPubMed
El-Gohary, H. (2012). Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tourism Management, 33(5), 12561269.CrossRefGoogle Scholar
Eling, M., Jia, R., Lin, J. and Rothschild, C. (2022). Technology heterogeneity and market structure. Journal of Risk and Insurance, 89(2), 427448.CrossRefGoogle Scholar
Eling, M. and Lehmann, M. (2018). The impact of digitalization on the insurance value chain and the insurability of risks. Geneva Papers on Risk and Insurance-Issues and Practice, 43(3), 359396.CrossRefGoogle Scholar
Ellison, G. and Wolitzky, A. (2012). A search cost model of obfuscation. RAND Journal of Economics, 43(3), 417441.CrossRefGoogle Scholar
Erat, S. and Kavadias, S. (2006). Introduction of new technologies to competing industrial customers. Management Science, 52(11), 16751688.CrossRefGoogle Scholar
Filipova-Neumann, L. and Welzel, P. (2010). Reducing asymmetric information in insurance markets: Cars with black boxes. Telematics and Informatics, 27(4), 394403.CrossRefGoogle Scholar
Forman, C. (2005). The corporate digital divide: Determinants of Internet adoption. Management Science, 51(4), 641654.CrossRefGoogle Scholar
Fritzsch, S., Scharner, P. and Weiß, G. (2021). Estimating the relation between digitalization and the market value of insurers. Journal of Risk and Insurance, 88(3), 529567.CrossRefGoogle Scholar
Galliano, D. and Roux, P. (2008). Organisational motives and spatial effects in Internet adoption and intensity of use: Evidence from French industrial firms. Annals of Regional Science, 42(2), 425448.CrossRefGoogle Scholar
Gartner. (2016). Gartner says insurance firms should investigate ‘InsurTechs’ to complement their own digital strategies. https://www.gartner.com/en/newsroom/press-releases/2016-10-24-gartner-says-insurance-firms-should-investigate-insurtechs-to-complement-their-own-digital-strategies.Google Scholar
Gemmo, I., Browne, M. and Gründl, H. (2019). Privacy concerns in insurance markets: Implications for market equilibria and social welfare. Working paper. papers.ssrn.com/sol3/papers.cfm?abstract_id=3480629.CrossRefGoogle Scholar
Hau, A. (2008). Optimal insurance under costly falsification and costly, inexact verification. Journal of Economic Dynamics and Control, 32(5), 16801700.CrossRefGoogle Scholar
He, X., Li, M. Z., Li, L., Li, J. and Hu, J. (2024). Competitive pricing and advertising strategies for online retailers with “showrooming” and “webrooming”. European Journal of Operational Research, 316(2), 617638.CrossRefGoogle Scholar
Janssen, M., Pichler, P. and Weidenholzer, S. (2011). Oligopolistic markets with sequential search and production cost uncertainty. RAND Journal of Economics, 42(3), 444470.CrossRefGoogle Scholar
Kearney. (2020). Digitalization in insurance: A golden opportunity for GCC insurers to get ahead of the competition. www.kearney.com/financial-services/article/-/insights/digitalization-in-insurance-a-golden-opportunity-for-gcc-insurers-to-get-ahead-of-the-competition.Google Scholar
Klemperer, P.D. and Meyer, M.A. (1989). Supply function equilibria in oligopoly under uncertainty. Econometrica, 57(6), 12431277.CrossRefGoogle Scholar
Kunreuther, H. and Pauly, M. (1985). Market equilibrium with private knowledge: An insurance example. Journal of Public Economics, 26(3), 269288.CrossRefGoogle Scholar
McKinsey. (2015). Insurance on the threshold of digitalization: Implications for the life and P&C workforce. www.mckinsey.com/industries/financial-services/our-insights/insurance-on-the-threshold-of-digitization Google Scholar
Nilssen, T. (2000). Consumer lock-in with asymmetric information. International Journal of Industrial Organization, 18(4), 641666.CrossRefGoogle Scholar
Posey, L.L. and Tennyson, S. (1998). The coexistence of distribution systems under price search: Theory and some evidence from insurance. Journal of Economic and Organization, 35(1), 95115.Google Scholar
Posey, L.L. and Yavaş, A. (1995). A search model of marketing systems in property-liability insurance. Journal of Risk and Insurance, 62(4), 666689.CrossRefGoogle Scholar
Robert, J. and Stahl, D.O. (1993). Informative price advertising in a sequential search model. Econometrica, 61(3), 657686.CrossRefGoogle Scholar
Rothschild, M. and Stiglitz, J. (1976). Equilibrium in competitive insurance markets: An essay on the economics of imperfect information. Quarterly Journal of Economics, 90(4), 629649.CrossRefGoogle Scholar
Seog, S.H. (2009). Insurance markets with differential information. Journal of Risk and Insurance, 76(2), 279294.CrossRefGoogle Scholar
Shakina, E., Parshakov, P. and Alsufiev, A. (2021). Rethinking the corporate digital divide: The complementarity of technologies and the demand for digital skills. Technological Forecasting and Social Change, 162, 120405.CrossRefGoogle Scholar
Stahl, D.O. (1989). Oligopolistic pricing with sequential consumer search. American Economic Review, 79(4), 700712.Google Scholar
Tse, C. Y. (2006). New product introduction with costly search. Journal of Economic Dynamics and Control, 30(12), 27752792.CrossRefGoogle Scholar
Villeneuve, B. (2005). Competition between insurers with superior information. European Economic Review, 49(2), 321340.CrossRefGoogle Scholar
Yang, L., Ng, C.T., Cheng, T.C.E., Sun, M., Shao, X. and Li, R. (2024). Competition under demand uncertainty: The roles of technology and capacity strategy. European Journal of Operational Research, 317(1), 185204.CrossRefGoogle Scholar
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