Simulating compliance behaviour for effective inspection strategies using agent based modelling

Research output: Contribution to journalArticleAcademicpeer-review


Purpose – The purpose of this paper is to simulate compliance behaviour of entrepreneurs in
the Netherlands based on the Table of Eleven: 11 factors determining compliance (based on economic,
cognitive, social and institutional factors).
Design/methodology/approach – An Agent-Based Model (ABM) was developed that could
incorporate both individual and group behaviour and allowed to evaluate the effect of various
intervention strategies. For this purpose, a case study on the compliance of pig farmers with antibiotics
legislation in the Netherlands was used.
Findings – The effect of social factors (acceptance of legislation and social influence) on compliance
levels was tested as well as the number of inspectors. This showed that the model can help to choose
the most optimal intervention strategy depending on the input parameters.
Research limitations/implications – Further expansion of the model may be necessary, e.g.
including economic factors, in order to reflect real-life situations more closely.
Practical implications – The model can be used by inspection services to effectively implement
their control programme.
Originality/value – The developed ABM is a first attempt to simulate compliance behaviour and as
such contributes to the current limited knowledge on effective intervention strategies.
Keywords Compliance, Food safety, Agent-based modelling, Inspection strategy
Paper type Research paper
Original languageEnglish
Pages (from-to)809-823
JournalBritish Food Journal
Issue number4
Publication statusPublished - 2016

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