IDEAS home Printed from https://ideas.repec.org/p/zbw/itse18/184952.html
   My bibliography  Save this paper

Analysis of People's Willingness to Use Personalization Services in Times of Disaster

Author

Listed:
  • Koguchi, Teppei
  • Jitsuzumi, Toshiya

Abstract

Japan has experienced major earthquake disasters in the past. The Great East Japan Earthquake of March 11, 2011 caused enormous damage. Subsequently, in April 2016, a major tremor centered in Kumamoto Prefecture in Kyushu also occurred. In the event of such a disaster, it is important to ensure that medical services are available and that a lifeline is secured. The use of information and communication technology, or ICT, is essential in implementing such efforts in an efficient manner. For example, ICT is very helpful in searching for evacuation routes, locating evacuation sites, tracking supply shortages, and understanding the situation at medical facilities. The use of ICT for such purposes requires personal information. Users can find their evacuation routes precisely because their locations are confirmed with GPS. People will also be able to locate medical facilities to receive special treatment if they register beforehand their pre-existing conditions. Thus, personal information utilization services are extremely effective in times of disaster. On the other hand, the use of personal information could raise concerns about privacy violations. While the use of personal information may allow for valuable services, privacy could be violated if data are leaked or handled in an inappropriate manner.

Suggested Citation

  • Koguchi, Teppei & Jitsuzumi, Toshiya, 2018. "Analysis of People's Willingness to Use Personalization Services in Times of Disaster," 29th European Regional ITS Conference, Trento 2018 184952, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itse18:184952
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/184952/1/Koguchi-Jitsuzumi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sakurai, Naoko & Otsuka, Tokio & Mitomo, Hitoshi, 2017. "Provision of Personal Information and the Willingness-to-Pay for Receiving Critical Information in Time of an Unprecedented Disaster," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168538, International Telecommunications Society (ITS).
    2. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    3. Koguchi, Teppei & Jitsuzumi, Toshiya & Kasuga, Norihiro & Nakamura, Akihiro & Shishikura, Manabu, 2016. "Analysis of the relation between a person's emotion and willingness to accept for leaks of personal data," 27th European Regional ITS Conference, Cambridge (UK) 2016 148681, International Telecommunications Society (ITS).
    4. Koguchi, Teppei & Jitsuzumi, Toshiya & Kasuga, Norihiro & Nakamura, Akihiro & Shishikura, Manabu, 2015. "Analysis of the economic value of leaks of personal data," 2015 Regional ITS Conference, Los Angeles 2015 146340, International Telecommunications Society (ITS).
    Full references (including those not matched with items on IDEAS)

    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. Koguchi, Teppei & Jitsuzumi, Toshiya & Kasuga, Norihiro & Nakamura, Akihiro & Shishikura, Manabu, 2016. "Analysis of the relation between a person's emotion and willingness to accept for leaks of personal data," 27th European Regional ITS Conference, Cambridge (UK) 2016 148681, International Telecommunications Society (ITS).
    2. J. K. Pappalardo, 2022. "Economics of Consumer Protection: Contributions and Challenges in Estimating Consumer Injury and Evaluating Consumer Protection Policy," Journal of Consumer Policy, Springer, vol. 45(2), pages 201-238, June.
    3. Luigi Zingales, 2022. "Regulating big tech," BIS Working Papers 1063, Bank for International Settlements.
    4. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    5. Jacopo Arpetti & Antonio Iovanella, 2019. "Towards more effective consumer steering via network analysis," Papers 1903.11469, arXiv.org, revised Nov 2019.
    6. Ronen Gradwohl, 2018. "Privacy in implementation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 50(3), pages 547-580, March.
    7. Kuerbis, Brenden & Mueller, Milton, 2023. "Exploring the role of data enclosure in the digital political economy," Telecommunications Policy, Elsevier, vol. 47(8).
    8. John M. Abowd & Ian M. Schmutte & William Sexton & Lars Vilhuber, 2019. "Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods," Papers 1906.09353, arXiv.org.
    9. Sharma, Priyanka & Wagman, Liad, 2020. "Advertising and Voter Data in Asymmetric Political Contests," Information Economics and Policy, Elsevier, vol. 52(C).
    10. Anna Fielder & Riina Vuorikari & Nuria Rodriguez-Priego & Yves Punie, 2016. "Background Review for Developing the Digital Competence Framework for Consumers: A snapshot of hot-button issues and recent literature," JRC Research Reports JRC103332, Joint Research Centre.
    11. Dengler, Sebastian & Prüfer, Jens, 2021. "Consumers' privacy choices in the era of big data," Games and Economic Behavior, Elsevier, vol. 130(C), pages 499-520.
    12. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
    13. Omid Rafieian & Hema Yoganarasimhan, 2021. "Targeting and Privacy in Mobile Advertising," Marketing Science, INFORMS, vol. 40(2), pages 193-218, March.
    14. Gemmo, Irina & Browne, Mark J. & Gründl, Helmut, 2017. "Transparency aversion and insurance market equilibria," ICIR Working Paper Series 25/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    15. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    16. Alireza Fallah & Michael I. Jordan & Ali Makhdoumi & Azarakhsh Malekian, 2024. "The Limits of Price Discrimination Under Privacy Constraints," Papers 2402.08223, arXiv.org, revised Feb 2024.
    17. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    18. Matveenko, Andrei & Starkov, Egor, 2023. "Sparking curiosity or tipping the scales? Targeted advertising with consumer learning," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 172-192.
    19. Chen, Yongmin, 2020. "Improving market performance in the digital economy," China Economic Review, Elsevier, vol. 62(C).
    20. Tobias Regner, 2021. "Crowdfunding a monthly income: an analysis of the membership platform Patreon," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(1), pages 133-142, March.

    More about this item

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:itse18:184952. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itseurope.org/ .

    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.