Integrating AI in BPM of Russian Medium-Sized Furniture Manufacturing Companies
Korotkov, Vladimir (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202505069339
https://urn.fi/URN:NBN:fi:amk-202505069339
Tiivistelmä
This thesis investigates the integration of Artificial Intelligence (AI) into Business Process Management (BPM) within medium-sized furniture manufacturing companies in Russia. Guided by the Resource-Based View (RBV) framework, AI is conceptualised as a strategic resource that can offer competitive advantages through enhancement of business processes. The necessity of this research stems from raising level of AI adoption around the world comparing to its uncommon utilisation among medium-sized manufacturing companies. The findings of this study provide a significant opportunity for companies to identify and lever-age the full potential of AI technologies, address its integration challenges, and devise suitable strategies.
The research employed a qualitative methodology with data gathered through semi-structured interviews from three Russian furniture manufacturing firms. Thematic analysis was applied deductively based on the RBV framework to identify key themes: enhanced business processes, integration challenges, and strategic enablers. Eventually, the research questions were addressed, and the objectives of the thesis were met.
The findings of the interviews were in line with the theories and RBV framework. It was found that AI technologies are rapidly developing in Russia and some companies are already utilising them successfully in their business processes in a significant capacity. An evaluation of the challenges associated with AI integration was conducted in conjunction with the formulation of strategies to address difficulties.
This research contributes to the limited body of empirical knowledge on AI adoption among Russian SMEs and offers practical insights for manufacturing firms seeking to enhance their BPM through strategic AI integration.
The research employed a qualitative methodology with data gathered through semi-structured interviews from three Russian furniture manufacturing firms. Thematic analysis was applied deductively based on the RBV framework to identify key themes: enhanced business processes, integration challenges, and strategic enablers. Eventually, the research questions were addressed, and the objectives of the thesis were met.
The findings of the interviews were in line with the theories and RBV framework. It was found that AI technologies are rapidly developing in Russia and some companies are already utilising them successfully in their business processes in a significant capacity. An evaluation of the challenges associated with AI integration was conducted in conjunction with the formulation of strategies to address difficulties.
This research contributes to the limited body of empirical knowledge on AI adoption among Russian SMEs and offers practical insights for manufacturing firms seeking to enhance their BPM through strategic AI integration.