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Human Resource Demand Planning – tools and processes for visa processing of Ministry for Foreign Affairs of Finland

Nevalainen, Kimmo (2018)

 
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Nevalainen, Kimmo
Haaga-Helia ammattikorkeakoulu
2018
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https://urn.fi/URN:NBN:fi:amk-2018100315632
Tiivistelmä
This thesis has been done as a case study for Ministry for Foreign Affairs (MFA) Information and Documentation unit. The target for the study was MFA visa process and especially the visas applied from Russia to Finland and Schengen. There is high seasonality in the visa application demand causing challenges especially for the resource management. The aim and objectives is to study the current state of the visa operations resourcing process to Russia, tools for controlling the demand growth and for more efficient resource planning. In addition, the aim was to recognize possible bottleneck in the process and find tools for more efficient process.

In spring 2017, 12 key personnel were interviewed from MFA in Finland and Russia. The data presented in this study is based to the interviews and different document sources. The results were analyzed with the analyzing tools for qualitative data, to find resulting patterns and themes.
This study is covering visas as short term entry permits to Finland and Schengen. Part of this study’s scope is Russia. Visas are processed mostly in MFA unit Kouvola Service Centre for Entry Permits, which is also part of the scope among Russian consulates.

The supply of the visa production consists of permanent human resource for visa processing in Kouvola and Russia. The supply should be in balance with the visa application demand from Russia, which is creating the visa application backlog for production.

As the demand is varying, there should be tools to answer to the sudden demand peaks. Efficient reporting is supporting the foresight coming from the new visa systems. RPA can also help combining information from different resources and reports and form analysis. Efficient visa information system will help in the demand planning and improve the operations in production.
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