Automated recognition of corruption indicators in public procurement
Memonen, Henri (2021)
Memonen, Henri
2021
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202103093066
https://urn.fi/URN:NBN:fi:amk-202103093066
Tiivistelmä
This thesis investigates institutional corruption in the public procurement process and proposes hypothesis models for automated recognition of corrupted procurement indicators. Combination of literature review and PESTEL strategic analysis tool was applied as research methodology. Within two years of research, several questions were placed to different government organizations for gaining an overall picture of the problem, which after most relevant questions were selected for qualitative analysis. During the research, the most problematic issue was availability of data and research structure was changed several times during the process. Outcome of the research was establishing a hypothesis model for applying automated algorithms for flagging corruption indicators within procurement data. Model was not tested, as all data provided by the target institution was incomplete. Data handled in this research was limited to data and answers provided by the target institute.