Abstract
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 (IS) climate perceptions which are the employees’ perceptions of their colleagues and supervisors’ IS practices. Unlike prior studies, we conceptualised socialisation in the form of six networks: the exchange of work advice and of organisational updates, the provision of personal advice, interpersonal trust in expertise, the provision of IS advice, and support for IS troubleshooting. 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 IS climate is affected by the ties that they possess in the network. This research suggests new directions for IS behavioural research based on the adoption of SNA methods to study IS-related perceptions and behaviours, while findings about the selection and influence mechanisms offer theoretical insights and practical methods to enhance IS in the workplace.
Recommended Citation
Dang-Pham, Duy; Kautz, Karlheinz; Pittayachawan, Siddhi; and Bruno, Vince, "Understanding the Formation of Information Security Climate Perceptions: A Longitudinal Social Network Analysis" (2017). ACIS 2017 Proceedings. 27.
https://aisel.aisnet.org/acis2017/27