Developing a Model to Analyze the Influence of Personal Values on IT Security Behavior

Title data

Semba, Beatrix ; Eymann, Torsten:
Developing a Model to Analyze the Influence of Personal Values on IT Security Behavior.
In: Proceedings of the 2016 German Multikonferenz Wirtschaftsinformatik (MKWI). Band II. - Ilmenau : Universitätsverlag , 2016 . - pp. 1083-1091
ISBN 978-3-86360-132-4

Official URL:

Abstract in another language

The influence of human behavior on the security of IT systems has become an increasingly important subject for IS research as well as for management practice. To advance the understanding of the antecedent factors that influence the security behavior of IT users, we develop a conceptual model that combines research on IT usage and security behavior with research on human values. We propose that personal values have a significant impact on IT security behavior as values determine human behavior. In order to provide a model that is able to show the influence of personal values on IT security behavior we adapt the Unified Theory of Acceptance and Use of Technology, a widely accepted and valid framework for IT usage behavior developed by Venkatesh et al. (2003) to an IT security context. We extend the collection of influence factors proposed in this framework by modelling the user's individual value structure as a further determinant of IT security behavior.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	IT Security; User Behavior
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society > Chair Business Administration VII - Information Systems Management and Digital Society - Univ.-Prof. Dr. Torsten Eymann Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	01 Apr 2025 05:35
Last Modified:	11 Apr 2025 10:10
URI:	https://eref.uni-bayreuth.de/id/eprint/92883