Can privacy concerns for insurance of connected cars be compensated?

Electronic Markets - Tập 26 - Trang 73-81 - 2015
Sebastian Derikx1, Mark de Reuver1, Maarten Kroesen1
1Delft University of Technology, Delft, The Netherlands

Tóm tắt

Internet-of-things technologies enable service providers such as insurance companies to collect vast amounts of privacy-sensitive data on car drivers. This paper studies whether and how privacy concerns of car owners can be compensated by offering monetary benefits. We study the case of usage based car insurance services for which the insurance fee is adapted to measured mileage and driving behaviour. A conjoint experiment shows that consumers prefer their current insurance products to usage based car insurance. However, when offered a minor financial compensation, they are willing to give up their privacy to car insurers. Consumers find privacy of behaviour and action more valuable than privacy of location and space. The study is a first to compare different forms of privacy in the acceptance of connected car services. Hereby, we contribute to more fine-grained understanding of privacy concerns in the acceptance of digital services, which will become more important in the upcoming Internet-of-things era.

Tài liệu tham khảo

Altman, I. (1975). The environment and social behavior: Privacy, personal space, territory, and crowding. Bansal, G., & Gefen, D. (2010). The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems, 49(2), 138–150. Ben-Akiva, M. E., & Lerman, S. R. (1985). Discrete choice analysis: Theory and application to travel demand (Vol. 9). MIT press. Bennett, C. J. (1992). Regulating privacy: Data protection and public policy in Europe and the United States: Cornell University Press. Berdak, O., & Carney, E. (2014). Trends 2014: European Digital Insurance, Forrester. Bierlaire, M. (2003). BIOGEME: A free package for the estimation of discrete choice models. In Proceedings of the 3rd Swiss Transportation Research Conference. Ascona, Switzerland Burgoon, J. K., Parrott, R., Le Poire, B. A., Kelley, D. L., Walther, J. B., & Perry, D. (1989). Maintaining and restoring privacy through communication in different types of relationships. Journal of Social and Personal Relationships, 6(2), 131–158. Chorppath, A. K., & Alpcan, T. (2013). Trading privacy with incentives in mobile commerce: a game theoretic approach. Pervasive and Mobile Computing, 9(4), 598–612. Clarke, R. (1999). Introduction to dataveillance and information privacy, and definitions of terms. Roger Clarke's Dataveillance and Information Privacy Pages. Derikx, S., de Reuver, M., Kroesen, M., Bouwman, H. (2015). Buying-off privacy concerns for mobility services in the Internet-of-things era. Proceedings of the 28th Bled eConference, Bled, Slovenia, 7–10 June. Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. Dorfman, M. S., & Cather, D. (2012). Introduction to risk management and insurance. Pearson Higher Ed. Finn, R. L., Wright, D., Friedewald, M. (2013). Seven types of privacy European data protection: Coming of age (pp. 3–32): Springer. Fleisch, E., Weinberger, M., Wortmann, F. (2014). Business models and the internet of things. Whitepaper of the Bosch Internet of Things and Services Lab, a Cooperation of HSG and Bosch. Gerla, M., Lee, E.-K., Pau, G., Lee, U. (2014). Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. Paper presented at the Internet of Things (WF-IoT), 2014 I.E. World Forum on. Green, P. E., Krieger, A. M., & Wind, Y. (2001). Thirty years of conjoint analysis: reflections and prospects. Interfaces, 31(3_supplement), S56–S73. Handel, P., Ohlsson, J., Ohlsson, M., Skog, I., & Nygren, E. (2014). Smartphone-based measurement systems for road vehicle traffic monitoring and usage-based insurance. IEEE Systems Journal, 8(4), 1238–1248. Hann, I.-H., Hui, K.-L., Lee, S.-Y. T., & Png, I. P. (2007). Overcoming online information privacy concerns: an information-processing theory approach. Journal of Management Information Systems, 24(2), 13–42. Hensher, D. A., Rose, J. M., Greene, W. H. (2005). Applied choice analysis: A primer. Cambridge University Press. Ibiwoye, O. T. (2011). Analysis of the basic principles of insurance under the nigerian law. Ilorin, Nigeria. Jen, W., Lu, M., Wang, W.-T., & Chang, Y.-T. (2013). Effects of perceived benefits and perceived costs on passenger’s intention to use self-ticketing kiosk of Taiwan high speed rail corporation. Journal of the Eastern Asia Society for Transportation Studies, 10, 215–230. Kehr, F., Kowatsch, T., Wentzel, D., Fleisch, E. (2015). Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus. Information Systems Journal. Lajunen, T., Karola, J., & Summala, H. (1997). Speed and acceleration as measures of driving style in young male drivers. Perceptual and motor skills, 85(1), 3–16. Laudon, K. C. (1996). Markets and privacy. Communications of the ACM, 39(9), 92–104. Laufer, R. S., & Wolfe, M. (1977). Privacy as a concept and a social issue: a multidimensional developmental theory. Journal of Social Issues, 33(3), 22–42. Leminen, S., Westerlund, M., Rajahonka, M., Siuruainen, R. (2012). Towards iot ecosystems and business models Internet of Things, Smart Spaces, and Next Generation Networking (pp. 15–26): Springer. Li, H., Sarathy, R., & Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. The Journal of Computer Information Systems, 51(1), 62. Lourens, P. F., Vissers, J. A., & Jessurun, M. (1999). Annual mileage, driving violations, and accident involvement in relation to drivers’ sex, age, and level of education. Accident Analysis and Prevention, 31(5), 593–597. Louviere, J. J., Hensher, D. A., Swait, J. D. (2000). Stated choice methods: Analysis and applications: Cambridge University Press. Mackenzie, J. (2014). The basic statistics of risk-pooling. University of Delaware. Retrieved July 30, 2014. from http://www.udel.edu/johnmack/frec324/insurance_basics.html Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. Journal of Consumer Affairs, 35(1), 27–44. Ohlsson, J., Händel, P., Han, S., Welch, R. (2015). Process innovation with disruptive technology in auto insurance: Lessons learned from a smartphone-based insurance telematics initiative BPM-Driving Innovation in a Digital World (pp. 85–101): Springer. Paefgen, J., Kehr, F., Zhai, Y., Michahelles, F. (2012). Driving behavior analysis with smartphones: Insights from a controlled field study. Paper presented at the Proceedings of the 11th International Conference on mobile and ubiquitous multimedia. Paine, C., Reips, U.-D., Stieger, S., Joinson, A., & Buchanan, T. (2007). Internet users’ perceptions of ‘privacy concerns’ and ‘privacy actions’. International Journal of Human-Computer Studies, 65(6), 526–536. Parent, W. A. (1983). Privacy, morality, and the law. Philosophy & Public Affairs, 269–288. Posner, R. A. (1981). The economics of privacy. The American economic review, 405–409. Preibusch, S. (2013). Guide to measuring privacy concern: review of survey and observational instruments. International Journal of Human-Computer Studies, 71(12), 1133–1143. Sheehan, K. B. (2002). Toward a typology of Internet users and online privacy concerns. The Information Society, 18(1), 21–32. Shinar, D., Schechtman, E., & Compton, R. (2001). Self-reports of safe driving behaviors in relationship to sex, age, education and income in the US adult driving population. Accident Analysis and Prevention, 33(1), 111–116. Smith, M. L., & Kane, S. A. (1994). The law of large numbers and the strength of insurance. In insurance, risk management, and public policy (pp. 1–27). doi:10.1007/978-94-011-1378-6. Solove, D. J. (2006). A taxonomy of privacy. University of Pennsylvania law review, 477–564. Tenghong, L., Rong, Y., Huating, C. (2012). Research on the Internet of Things in the Automotive Industry. Paper presented at the Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on. Thomson, J. J. (1975). The right to privacy. Philosophy & Public Affairs, 295–314. Troncoso, C., Danezis, G., Kosta, E., Balasch, J., & Preneel, B. (2011). Pripayd: privacy-friendly pay-as-you-drive insurance. IEEE Transactions on Dependable and Secure Computing, 8(5), 742–755. Vonk, T., Janse, M., van Essen, H., & Dings, J. (2003). Pay as you drive: Mogelijkheden voor een variabele autoverzekeringspremie in Nederland? [‘Pay as you drive’ in the Netherlands] (TNO Inro report No. 2003-40). Den Haag, The Netherlands: Ministerie van Verkeer en Waterstaat Westin, A. F. (1967). Privacy and Freedom. New York: Atheneum. Westin, A. F. (1968). Privacy and freedom. Washington and Lee Law Review, 25(1), 166.