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Understanding the formation of information security climate perceptions: a longitudinal social network analysis

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conference contribution
posted on 2024-11-23, 06:27 authored by Duy Dang, Karlheinz KautzKarlheinz Kautz, Siddhi PittayachawanSiddhi Pittayachawan, Vincenzo BrunoVincenzo Bruno
This research employed a longitudinal social network analysis (SNA) method, called stochastic actor-oriented modelling (SAOM), to analyse the inter-relationship between the employees' socialisation and information security (InfoSec) climate perceptions which are the employees' perceptions of their colleagues and supervisors' InfoSec practices. Unlike prior studies, we conceptualised socialisation in the form of six networks: the provisions of work advice and of organisational updates, the provisions of personal advice, interpersonal trust in expertise, the provisions of InfoSec advice and InfoSec troubleshooting support. The adoption of the SAOM method enabled not only analysis of why an employee chooses to interact with or to send a network tie to another employee, but also how an employee's perception of InfoSec climate is affected by the ties that they possess in the network. This research suggests new directions for InfoSec behavioural research based on the adoption of SNA methods to study InfoSec-related perceptions and behaviours, while findings about the selection and influence mechanisms offer theoretical insights and practical methods to enhance InfoSec in the workplace.

History

Start page

1

End page

11

Total pages

11

Outlet

Proceedings of the 28th Australasian Conference on Information Systems (ACIS 2017)

Name of conference

ACIS 2017

Publisher

Association for Information Systems

Place published

Hobart, Australia

Start date

2017-12-04

End date

2017-12-06

Language

English

Copyright

© 2017 Dang-Pham, Kautz, Pittayachawan, and Bruno. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Australia License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.

Former Identifier

2006080428

Esploro creation date

2020-06-22

Fedora creation date

2017-12-17

Open access

  • Yes

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