Shall We Follow? Impact of Reputation Concern on Information Security Managers’ Investment Decisions

Abstract
Information security (infosec) is important for organizations. While budgeting for infosec is a crucial resource allocation decision, infosec managers may choose to follow other fellow experts’ recommendations or baseline practices. The present paper uses reputational herding theory to explain the decision made by infosec managers to use a “let's follow others” strategy in this context. Based on a sample of 106 organizations in Finland, we find that infosec managers’ ability to accurately predict the benefit of infosec investment, as well as their reputations, have significant effects on motivating them to discount their own information. Infosec managers’ discounting of their own information, together with the strength of information that relates to infosec investment and mandatory requirements, motivates infosec investment. Our empirical results highlight the “let's follow others” strategy as an important alternative to cost–benefit analysis in terms of budgeting for infosec investment.
Main Authors
Format
Articles Research article
Published
2020
Series
Subjects
Publication in research information system
Publisher
Elsevier BV
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202008075512Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
0167-4048
DOI
https://doi.org/10.1016/j.cose.2020.101961
Language
English
Published in
Computers and Security
Citation
  • Shao, X., Siponen, M., & Liu, F. (2020). Shall We Follow? Impact of Reputation Concern on Information Security Managers’ Investment Decisions. Computers and Security, 97, Article 101961. https://doi.org/10.1016/j.cose.2020.101961
License
CC BY-NC-ND 4.0Open Access
Additional information about funding
This work was supported by Zhishan Youth Scholar Program of Southeast University, Jiangsu Specially-Appointed Professor Program (No. 3051107219003), and National Social Science Foundation of China (No. 6614000050).
Copyright© 2020 Elsevier Ltd. All rights reserved.

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