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Algorithmic decision making in the public sector : a perspective of local public administrators

Engbers, I.M. (2020) Algorithmic decision making in the public sector : a perspective of local public administrators.

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Abstract:The use of algorithmic decision making is a growing phenomenon. The public sector uses these systems to perform risks analysis, predictive policing or tracing tax fraud. Various literature is concerned with the attitude of citizens and not of public officials towards these algorithmic decision making (ADM) systems. This study is interested in the attitudes and perceived concerns of public officials towards these ADM systems and its use in the public administration. The aim of this research is to investigate to what extent do the public officials trust the use of ADM in the public administration and if this can be explained by the ADM concerns; fairness, accountability, privacy and transparency. It was assumed that having more concerns will lead to less intention to use ADM. An online questionnaire was distributed among the public officials from a local municipality to gather quantitative data and test the hypotheses. Regression analyses revealed that perceiving more fairness concerns with respect to the nature of the algorithmic decision, a public official is less likely to use ADM in the public administration. Additionally, the level of ADM experience of a participant had a positive effect on the use of ADM in the public administration.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:88 social and public administration
Programme:Management Society and Technology BSc (56654)
Link to this item:http://purl.utwente.nl/essays/82316
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