IDEAS home Printed from https://ideas.repec.org/a/bla/rmgtin/v23y2020i4p305-329.html
   My bibliography  Save this article

A framework for the evaluation of InsurTech

Author

Listed:
  • Xian Xu
  • Peter Zweifel

Abstract

In recent years, the insurance industry has known rapid development and application of new technologies, leading to the emergence of a large number of innovative products. This constitutes a challenge for stakeholders ranging from consumers, management, investors, and on to regulators, who need to evaluate these so‐called InsurTech innovations. This study applies a modified Delphi method in combination with the Analytical Hierarchy Process of Saaty to first provide the weightings of 42 individual indicators for aggregation to 9 subdimensions, among which degree of innovation, size of potential user base, and delivery of services turn out to be the most important. These subdimensions are in turn aggregated into three main dimensions, (i) management and operations, (ii) level of technology, and (iii) user experience, which are found to have equal weight. In conclusion, this paper proposes a transparent way of evaluating InsurTech innovations that also may provide guidance for their future development.

Suggested Citation

  • Xian Xu & Peter Zweifel, 2020. "A framework for the evaluation of InsurTech," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 305-329, December.
  • Handle: RePEc:bla:rmgtin:v:23:y:2020:i:4:p:305-329
    DOI: 10.1111/rmir.12161
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rmir.12161
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rmir.12161?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert S. Harris & Tim Jenkinson & Steven N. Kaplan, 2014. "Private Equity Performance: What Do We Know?," Journal of Finance, American Finance Association, vol. 69(5), pages 1851-1882, October.
    2. Wu, Yanfang & Lau, Tuenyu & Atkin, David J. & Lin, Carolyn A., 2011. "A comparative study of online privacy regulations in the U.S. and China," Telecommunications Policy, Elsevier, vol. 35(7), pages 603-616, August.
    3. Michael Faure & Shu Li, 0. "Risk shifting in the context of 3D printing: an insurability perspective," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 0, pages 1-26.
    4. Emanuel Stoeckli & Christian Dremel & Falk Uebernickel, 2018. "Exploring characteristics and transformational capabilities of InsurTech innovations to understand insurance value creation in a digital world," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 287-305, August.
    5. Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
    6. Antonella Cappiello, 2018. "Technology and the Insurance Industry," Springer Books, Springer, number 978-3-319-74712-5, June.
    7. Sulin Ba & Jan Stallaert & Zhongju Zhang, 2010. "Balancing IT with the Human Touch: Optimal Investment in IT-Based Customer Service," Information Systems Research, INFORMS, vol. 21(3), pages 423-442, September.
    8. Michael Faure & Shu Li, 2020. "Risk shifting in the context of 3D printing: an insurability perspective," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 482-507, July.
    9. Michael McCrea & Mark Farrell, 2018. "A Conceptual Model for Pricing Health and Life Insurance Using Wearable Technology," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(3), pages 389-411, December.
    10. Braun, Alexander & Schreiber, Florian, 2017. "The Current InsurTech Landscape: Business Models and Disruptive Potential," I.VW HSG Schriftenreihe, University of St.Gallen, Institute of Insurance Economics (I.VW-HSG), volume 62, number 62.
    11. Bernardo Nicoletti, 2017. "The Future of FinTech," Palgrave Studies in Financial Services Technology, Palgrave Macmillan, number 978-3-319-51415-4.
    12. Xu, Z., 2000. "On consistency of the weighted geometric mean complex judgement matrix in AHP," European Journal of Operational Research, Elsevier, vol. 126(3), pages 683-687, November.
    13. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iván Sosa Gómez & Óscar Montes Pineda, 2023. "What is an InsurTech? A scientific approach for defining the term," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 26(2), pages 125-173, July.
    2. Iván Sosa & Óscar Montes, 2022. "Understanding the InsurTech dynamics in the transformation of the insurance sector," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(1), pages 35-68, April.
    3. Zhiyu Quan & Changyue Hu & Panyi Dong & Emiliano A. Valdez, 2024. "Improving Business Insurance Loss Models by Leveraging InsurTech Innovation," Papers 2401.16723, arXiv.org.
    4. Patty Duijm & Ilke Van Beveren, 2022. "Product diversification as a performance boosting strategy? Drivers and impact of diversification strategies in the property‐liability insurance industry," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(3), pages 303-328, September.
    5. Sánchez, Marisa A., 2022. "A multi-level perspective on financial technology transitions," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonella Cappiello, 2020. "The Digital (R)evolution of Insurance Business Models," American Journal of Economics and Business Administration, Science Publications, vol. 12(1), pages 1-13, January.
    2. Jie Liu & Shujun Ye & Yujin Zhang & Lulu Zhang, 2023. "Research on InsurTech and the Technology Innovation Level of Insurance Enterprises," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    3. Cao, Siqing & Lyu, Hanjia & Xu, Xian, 2020. "InsurTech development: Evidence from Chinese media reports," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Iván Sosa Gómez & Óscar Montes Pineda, 2023. "What is an InsurTech? A scientific approach for defining the term," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 26(2), pages 125-173, July.
    5. Tavana, M. & Kennedy, D. T. & Joglekar, P., 1996. "A group decision support framework for consensus ranking of technical manager candidates," Omega, Elsevier, vol. 24(5), pages 523-538, October.
    6. Chun-An Chen & Shang-Ru Lee, 2013. "Developing The Country Brand Of Taiwan From The Perspective Of Exports," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(9), pages 1223-1236, September.
    7. Martin Eling & Davide Nuessle & Julian Staubli, 2022. "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, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 205-241, April.
    8. Liu Fang & Peng Yanan & Zhang Weiguo & Pedrycz Witold, 2017. "On Consistency in AHP and Fuzzy AHP," Journal of Systems Science and Information, De Gruyter, vol. 5(2), pages 128-147, April.
    9. Iván Sosa & Óscar Montes, 2022. "Understanding the InsurTech dynamics in the transformation of the insurance sector," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(1), pages 35-68, April.
    10. Aull-Hyde, Rhonda & Erdogan, Sevgi & Duke, Joshua M., 2006. "An experiment on the consistency of aggregated comparison matrices in AHP," European Journal of Operational Research, Elsevier, vol. 171(1), pages 290-295, May.
    11. Piotr Tereszkiewicz & Katarzyna Południak-Gierz, 2021. "Liability for Incorrect Client Personalization in the Distribution of Consumer Insurance," Risks, MDPI, vol. 9(5), pages 1-15, May.
    12. Kengpol, Athakorn, 2004. "Design of a decision support system to evaluate the investment in a new distribution centre," International Journal of Production Economics, Elsevier, vol. 90(1), pages 59-70, July.
    13. Bernasconi, Michele & Choirat, Christine & Seri, Raffaello, 2014. "Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence," European Journal of Operational Research, Elsevier, vol. 232(3), pages 584-592.
    14. Pierpaolo Marano, 2021. "Management of Distribution Risks and Digital Transformation of Insurance Distribution—A Regulatory Gap in the IDD," Risks, MDPI, vol. 9(8), pages 1-11, August.
    15. Davide Lanfranchi & Laura Grassi, 2022. "Examining insurance companies’ use of technology for innovation," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 520-537, July.
    16. Albrecht Fritzsche & Alexander Bohnert, 2022. "Implications of bundled offerings for business development and competitive strategy in digital insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 817-834, October.
    17. Stumpf, Lukas & Schöggl, Josef-Peter & Baumgartner, Rupert J., 2023. "Circular plastics packaging – Prioritizing resources and capabilities along the supply chain," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    18. Angela Zeier Röschmann & Matthias Erny & Joël Wagner, 2022. "On the (future) role of on-demand insurance: market landscape, business model and customer perception," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 603-642, July.
    19. Lai, Vincent S. & Wong, Bo K. & Cheung, Waiman, 2002. "Group decision making in a multiple criteria environment: A case using the AHP in software selection," European Journal of Operational Research, Elsevier, vol. 137(1), pages 134-144, February.
    20. Brunelli, Matteo, 2019. "A study on the anonymity of pairwise comparisons in group decision making," European Journal of Operational Research, Elsevier, vol. 279(2), pages 502-510.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:rmgtin:v:23:y:2020:i:4:p:305-329. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1098-1616 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.