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Value of data meets IT security : assessing IT security risks in data-driven value chains

Title data

Bitomsky, Laura ; Bürger, Olga ; Häckel, Björn ; Töppel, Jannick:
Value of data meets IT security : assessing IT security risks in data-driven value chains.
In: Electronic Markets. (2020) .
ISSN 1422-8890
DOI: https://doi.org/10.1007/s12525-019-00383-6

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI IT-Sicherheit und DatenschutzNo information

Abstract in another language

Digitalization forces manufacturing companies to shift towards customer-oriented, highly data-driven forms of value creation.
This results in a changing IT security risk landscape as data becomes an attractive target for adversaries leading to an increasing
number of attacks. In order to successfully protect data, it is essential that it is assessed in an integrated manner. Although IT
security and data-based value creation have been studied by large research bodies, the existing literature fails to provide guidance
on IT security risk analysis in data-based value chains. To contribute to the closure of this research gap, we propose a modeling
approach which allocates different data types to value activities and analyses the data types in relation to the properties of relevant
ITsecurity risks. The evaluation, conducted with industry experts, reveals that it is not only a company’s primary assets that are of
concern but also less important data types subject to significant levels of exposure that bear considerable IT security risks.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Data-driven value creation; Value of data; ITsecurity; Data security; Risk assessment
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 03 Jun 2020 07:00
Last Modified: 03 Jun 2020 07:00
URI: https://eref.uni-bayreuth.de/id/eprint/55433