The use of Generative AI in Knowledge Management

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bachelor_Heikkinen_Malena_2024.pdf (438.98 KB)

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School of Business | Bachelor's thesis
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Date

2024

Department

Tieto- ja palvelujohtamisen laitos

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Mcode

Degree programme

Tieto- ja palvelujohtaminen

Language

en

Pages

29

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Abstract

This thesis explores the relationship between generative artificial intelligence (AI) and knowledge management, focusing on identifying key opportunities and chal-lenges in utilizing generative AI to enhance the knowledge management process in organizations. The research is conducted through comprehensive review and analysis of existing literature in the field. To establish a holistic understanding of how the two concepts can be integrated efficiently the review begins by investi-gating characteristics of the two concepts separately, and only after that delves into the opportunities and challenges that relate to the use of generative AI driv-en technology in knowledge management. The findings indicate that generative AI holds potential to revolutionize knowledge management by providing modern more effective tools to enhance the performance of various aspects of all four stages of knowledge management. Future generative AI driven knowledge management is characterized by better search results, less time spent on document creation, and improved skillsets among the personnel in organizations. The integration of the two does not come without its challenges that need to be taken into consideration to ensure an ef-fective integration. Challenges include data management issues, insufficient knowledge internalization, and social concerns.

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Thesis advisor

Bragge, Johanna

Keywords

generative artificial intelligence, knowledge management, gen AI integration, opportunities, challenges

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https://urn.fi/URN:NBN:fi:aalto-202406164335

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[kand] Kauppakorkeakoulu / BIZ (Open Access)