A proposal of Event Study Methodology with Twitter Sentimental Analysis for risk management

Tomohisa Ishikawa, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Once organizations have the security incident and breaches, they have to pay tremendous costs. Although visible cost, such as the incident response cost, customer follow-up care, and legal cost are predictable and calculable, it is tough to evaluate and estimate the invisible damage, such as losing customer loyalty, reputation impact, and the damage of branding. This paper proposes a new method, called "Event Study Methodology with Twitter Sentimental Analysis" to evaluate the invisible cost. This method helps to assess the impact of the security breach and the impact on corporate valuation.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450348881
DOIs
Publication statusPublished - Jan 5 2017
Event11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 - Beppu, Japan
Duration: Jan 5 2017Jan 7 2017

Publication series

NameProceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017

Other

Other11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017
CountryJapan
CityBeppu
Period1/5/171/7/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Ishikawa, T., & Sakurai, K. (2017). A proposal of Event Study Methodology with Twitter Sentimental Analysis for risk management. In Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017 [14] (Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3022227.3022240