Abstract
Nowadays, one major concern is to ensure that enterprises have implemented relevant anti-bribery controls in organizations, view as an information system, without putting at risk its operation. Anti-bribery risk management has become an essential activity, allowing people to assess bribery risks and identify procedures to mitigate risks, in an efficient way. Despite the existence of a new body of knowledge, risk managers struggle to identify the most suitable management model that should be used in this kind of risk management. They are concerned how to balance between control and discretionary way of people work on organizations. The purpose of this document is to suggest a social way of thinking and establish a reference anti-bribery management model. To address this issue, we will support our work in a social framework, named activity theory to provide a high-level abstraction model that aims to facilitate the capture of deeper knowledge of how people enter and fulfil promises concerning the setup and maintain of anti-bribery model shared as the background of norms and values.
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Gonçalves, A., Correia, A., Matos, R. (2017). Anti-bribery Quantitative Model for Information Systems Based on Human Subjectivity. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-319-56535-4_34
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DOI: https://doi.org/10.1007/978-3-319-56535-4_34
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