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Analysis of wearable technologies’ usage for pay-as-you-live tariffs: recommendations for insurance companies

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Zeitschrift für die gesamte Versicherungswissenschaft

Abstract

This study investigates critical success factors of wearable technologies’ usage for Pay-as-you-live (PAYL) tariffs as an emerging innovation from health insurance companies. The research model was developed based on a literature study and conducted interviews. It combines the unified theory of acceptance and use of technology 2 (UTAUT 2) models, the privacy calculus theory (PCT) and the mobile users’ information privacy concerns (MUIPC) model. By conducting an online survey with 353 participants, a structural equation modeling (SEM) approach was used to test the research model. Results show that the perceived value is an antecedent of intention to use, which comes from insurants’ risk-benefit analyses. Further, this study shows that currently privacy risk factors dominate individual’s perceived value of wearable technologies’ usage for PAYL tariffs.

Zusammenfassung

Diese Studie untersucht kritische Erfolgsfaktoren der Nutzung von Wearable-Technologien für Pay-as-You-Live-Tarife (PAYL), als aufkommende Innovation von Versicherungsunternehmen. Das Forschungsmodell wurde auf der Grundlage einer Literaturstudie und Experteninterviews entwickelt. Es kombiniert die Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2), die Privacy Calculus Theory (PCT) und das Modell der Mobile Users’ Information Privacy Concerns (MUIPC). Anhand einer Onlinebefragung mit 353 Teilnehmern wurde das Forschungsmodell mittels Strukturgleichungsmodellierung (SEM) evaluiert. Die Ergebnisse zeigen, dass der wahrgenommene Wert eines PAYL-Tarifs, der sich aus einer Risiko-Nutzen-Analyse abgeleitet wird, die Nutzungsabsicht maßgeblich beeinflusst. Darüber hinaus zeigt diese Studie, dass Risikofaktoren des Datenschutzes den wahrgenommenen Wert von Wearable-Technologien für PAYL-Tarife stark dominieren.

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References

  • Angst, C.M., Agarwal, R.: Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. Mis Q. 33(2), 339–370 (2009)

    Article  Google Scholar 

  • Berglund, M.E., Duvall, J., Dunne, L.E.: A survey of the historical scope and current trends of wearable technology applications. In: Proceedings of the ACM International Symposium on Wearable Computers, pp. 40–43. (2016)

    Google Scholar 

  • Bhattacherjee, A., Premkumar, G.: Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Q. 28(2), 229–254 (2004)

    Article  Google Scholar 

  • BITKOM: Zukunft der Consumer Electronics—2015 Marktentwicklung, Schlüsseltrends, Mediennutzung Konsumentenverhalten, Neue Technologien (2015). https://www.bitkom.org/noindex/Publikationen/2015/Studien/CE-Studie-2015/150901-CE-Studie-2015-online.pdf, Accessed 27 Sept 2016

    Google Scholar 

  • Boontarig, W., Chutimaskul, W., Chongsuphajaisiddhi, V., Papasratorn, B.: Factors influencing the Thai elderly intention to use smartphone for e‑Health services. In: IEEE Symposium on Humanities, Science and Engineering Research, pp. 479–483. (2012)

    Google Scholar 

  • Chen, C.F.: Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan. Transp. Res. Part. A. Policy. Pract. 42(4), 709–717 (2008)

    Article  Google Scholar 

  • Chen, C.-C., Shih, H.-S.: A study of the acceptance of wearable technology for consumers—an analytical network process perspective. In: International journal of the analytic hierarchy process International Symposium of the Analytic Hierarchy Process, Washington, D.C., 29.06.–02.07.2014. pp. 1–5. (2014). https://www.isahp.org/uploads/p729838.pdf

    Google Scholar 

  • Chin, W.W.: Issues and opinion on structural equation modeling. MIS Q. 29(3), vii–xvi (1998)

    Google Scholar 

  • CSS Insight: Wearable momentum continues (2016). http://www.ccsinsight.com/press/company-news/2516-wearables-momentum-continues, Accessed 2 Sept 2016

    Google Scholar 

  • Culnan, M.J., Armstrong, P.K.: Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organ. Sci. 10(1), 104–115 (1999). https://doi.org/10.1287/orsc.10.1.104

    Article  Google Scholar 

  • Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of Information Technology. MIS Q. 13(3), 319–340 (1989). https://doi.org/10.2307/249008

    Article  Google Scholar 

  • Diamantopoulos, A., Riefler, P., Roth, K.P.: Advancing formative measurement models. J. Bus. Res. 61(12), 1203–1218 (2008)

    Article  Google Scholar 

  • Dinev, T., Hart, P.: An extended privacy calculus model for e‑commerce transactions. Inf. Syst. Res. 17(1), 61–80 (2006)

    Article  Google Scholar 

  • Dinev, T., Xu, H., Smith, J.H., Hart, P.: Information privacy and correlates: An empirical attempt to bridge and distinguish privacy-related concepts. Eur. J. Inf. Syst. 22(3), 295–316 (2013)

    Article  Google Scholar 

  • Eduard, M.N.: Development directions of services and products in Insurances. Rev. Tiner. Econ. 1(8), 89–92 (2007)

    Google Scholar 

  • Ernst & Young: Introducing “Pay As You Live” (PAYL) Insurance: Insurance that rewards a healthier lifestyle (2015). http://www.ey.com/Publication/vwLUAssets/EY-introducing-pay-as-you-live-payl-insurance/$FILE/EY-introducing-pay-as-you-live-payl-insurance.pdf, Accessed 29 June 2016

    Google Scholar 

  • Ernst, C.P., Ernst, A.: The influence of privacy risk on Smartwatch usage. 21. Americas Conference on Information Systems, San Diego, 2016. (2016). https://pdfs.semanticscholar.org/d99a/06f5fd948789a2727d5d8b3f4b99e60c87a1.pdf

    Google Scholar 

  • Fornell, C., Bookstein, F.L.: Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. J. Mark. Res. 19(4), 440–452 (1982)

    Article  Google Scholar 

  • Gao, Y., Li, H., Luo, Y.: An empirical study of wearable technology acceptance in healthcare. Ind. Manag. Data Syst. 115(9), 1704–1723 (2015)

    Article  Google Scholar 

  • Gefen, D., Rigdon, E.E., Straub, D.: An update and extension to SEM Guidlines for administrative and social science research. MIS Q. 35(2), iii–xiv (2011)

    Article  Google Scholar 

  • Gu, Z., Wei, J., Xu, F.: An empirical study on factors influencing consumers’ initial trust in wearable commerce. J. Comput. Inf. Syst. 56(1), 79–85 (2015)

    Google Scholar 

  • Häußermann, D.: 10 Dinge, die Versicherer mit Gesundheitsdaten tun können. Z Versicherungswes. 67(7), 215–216 (2016)

    Google Scholar 

  • Hew, J.J., Lee, V.H., Ooi, K.B., & Wei, J.: What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems, 115(7), 1269–1291 (2015)

    Article  Google Scholar 

  • Johnston, A.C., Warkentin, M.: Fear appeals and information security behaviors: An empirical study. MIS Q. 34(3), 549–566 (2010)

    Article  Google Scholar 

  • Kim, K.J., Shin, D.H.: An acceptance model for smart watches: Implications for the adoption of future wearable technology. Internet Res. 25(4), 527–541 (2015). https://doi.org/10.1108/intr-05-2014-0126

    Article  Google Scholar 

  • Kim, H.W., Chan, H.C., Gupta, S.: Value-based adoption of mobile internet: An empirical investigation. Decis. Support. Syst. 43(1), 111–126 (2007)

    Article  Google Scholar 

  • Lee, A.S., Baskerville, R.L.: Generalizing generalizability in information systems research. Inf. Syst. Res. 14(3), 221–243 (2003)

    Article  Google Scholar 

  • Li, H., Wu, J., Gao, Y., Shi, Y.: Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspective. Int. J. Med. Inform. 88, 8–17 (2016)

    Article  Google Scholar 

  • Malhotra, N.K., Kim, S.S., Agarwal, J.: Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Inf. Syst. Res. 15(4), 336–355 (2004)

    Article  Google Scholar 

  • Mayring, P.: Qualitative Inhaltsanalyse. Grundlagen und Techniken, 11th edn. Beltz, Weinheim (2010)

    Google Scholar 

  • Nürnberg, V.: E‑Health und M(obile)-Health: Chancen und Risiken-das Aus für die Solidargemeinschaft. Z Versicherungswes. 66(8), 246–250 (2015)

    Google Scholar 

  • Pfeiffer, J., von Entress-Fuersteneck, M., Urbach, N., Buchwald, A.: Quantify-me: Consumer acceptance of wearable self-tracking devices. In: Proceedings of the European conference on information systems (2016)

    Google Scholar 

  • Polites, G.L., Roberts, N., Thatcher, J.: Conceptualizing models using multidimensional constructs: A review and guidelines for their use. Eur. J. Inf. Syst. 21(1), 22–48 (2012)

    Article  Google Scholar 

  • PWC: The Wearable Life 2.0 Connected living in a wearable world (2016). https://www.pwc.se/sv/pdf-reports/the-wearable-life-2-0.pdf. Consumer Intelligence Series

    Google Scholar 

  • Rogers, E.M.: Diffusion of innovations, 4th edn. Free Press, New York (1995)

    Google Scholar 

  • Rundshagen, M.: Versicherungsrisiken leichter bewerten dank medizinischer Innovation. Z Versicherungswes. 66(17), 560–562 (2015)

    Google Scholar 

  • Smith, H.J., Milberg, S.J., Burke, S.J.: Information privacy: Measuring individuals’ concerns about organizational practices. MIS Q. 20(2), 167–196 (1996)

    Article  Google Scholar 

  • Stewart, K.A., Segars, A.H.: An empirical examination of the concern for information privacy instrument. Inf. Syst. Res. 13(1), 36–49 (2002)

    Article  Google Scholar 

  • Straub, D., Boudreau, M.C., Gefen, D.: Validation guidelines for IS positivist research. Commun. Assoc. Inf. Syst. 13(1), 63 (2004)

    Google Scholar 

  • Sultan, N.: Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education. Int. J. Inf. Manage. 35(5), 521–526 (2015)

    Article  Google Scholar 

  • Tene, O., Polonetsky, J.: Big data for all: Privacy and user control in the Age of Analytics. Northwest. J. Technol. Intellect. Prop. 11(5), 240–273 (2013)

    Google Scholar 

  • Turhan, G.: An assessment towards the acceptance of wearable technology to consumers in Turkey: The application to smart bra and t‑shirt products. J. Text. Inst. 104(4), 375–395 (2013)

    Article  Google Scholar 

  • Venkatesh, V.: Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)

    Article  Google Scholar 

  • Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. Mis Q. 36(1), 157–178 (2012)

    Article  Google Scholar 

  • Wei, J.: How wearables intersect with the cloud and the Internet of things: Considerations for the developers of wearables. Ieee Consumer Electron. Mag. 3(3), 53–56 (2014)

    Article  Google Scholar 

  • Xu, H., Dinev, T., Smith, H.J., Hart, P.: Examining the formation of individual’s privacy concerns: Toward an integrative view. In: Proceedings of the International Conference on Information Systems (2008)

    Google Scholar 

  • Xu, H., Gupta, S., Rosson, M.B., Carroll, J.M.: Measuring mobile users’ concerns for information privacy. In: Proceedings of the International Conference on Information Systems, ICIS 2012 International Conference on Information Systems, ICIS, Orlando, Florida, USA, 16.-19.12.2012. pp. 2278–2293. Curran Associates, Inc., Red Hook (2012)

    Google Scholar 

  • Xu, H., Teo, H.H., Tan, B.C., Agarwal, R.: The role of push-pull technology in privacy calculus: The case of location-based services. J. Manag. Inf. Syst. 26(3), 135–174 (2009)

    Article  Google Scholar 

  • Yang, H., Yu, J., Zo, H., Choi, M.: User acceptance of wearable devices: An extended perspective of perceived value. Telematics Informatics 33(2), 256–269 (2016)

    Article  Google Scholar 

  • Yoon, H., Shin, D.H., Kim, H.: Health information tailoring and data privacy in a smart watch as a preventive health tool. In: Proceedings of the International Conference on Human-Computer Interaction, pp. 537–548. Springer, Heidelberg, Berlin, New York (2015)

    Google Scholar 

  • Young, E.: Do you want your company to know how fit you are? (2015). http://www.bbc.com/news/business-33261116, Accessed 25 Sept 2016

    Google Scholar 

  • Yuan, S., Ma, W., Kanthawala, S., Peng, W.: Keep using my health apps: Discover users’ perception of health and fitness apps with the UTAUT2 model. Telemedicine E‑health. 21(9), 735–741 (2015)

    Article  Google Scholar 

  • Zeithaml, V.A.: Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. J. Mark. 52, 2–22 (1988)

    Article  Google Scholar 

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Authors and Affiliations

  1. Institut für Wirtschaftsinformatik, Leibniz Universität Hannover, Königsworther Platz 1, 30167, Hannover, Germany

    Rouven Wiegard, Nadine Guhr, Sonja Krylow & Michael H. Breitner

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  1. Rouven Wiegard
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  2. Nadine Guhr
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  3. Sonja Krylow
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  4. Michael H. Breitner
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Corresponding author

Correspondence to Rouven Wiegard.

Appendix

Appendix

Table 5 Survey Instrument
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Table 6 Correlations of the Constructs and Square Root of AVE
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Table 7 Construct Cross-Loadings
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Wiegard, R., Guhr, N., Krylow, S. et al. Analysis of wearable technologies’ usage for pay-as-you-live tariffs: recommendations for insurance companies. ZVersWiss 108, 63–88 (2019). https://doi.org/10.1007/s12297-019-00431-2

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