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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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The Influence of Artificial Intelligence on Innovation Capability and Knowledge Sharing in Organizations

Authors: hindarwati, enny noegraheni;

The Influence of Artificial Intelligence on Innovation Capability and Knowledge Sharing in Organizations

Abstract

To stay ahead of their competitors, more and more businesses are using AI. This study investigates the influence of artificial intelligence on two critical dimensions of the knowledge process: the ability to innovate and the dissemination of information. To evaluate the purported correlations, we employ a simulated survey dataset comprising 200 respondents and utilize a technique known as partial least squares structural equation modeling (PLS-SEM). The results show that using AI makes it much more likely that the company will come up with new ideas and share information with each other. People may generate novel concepts when discussing their knowledge. In this case, I can't help but wonder if there is a link between artificial intelligence and creativity. The results indicate that AI-driven tools and methodologies could facilitate collaboration among individuals from various sectors to improve information exchange and foster the generation of innovative concepts. This paper analyzes both theoretical and practical implications, highlighting the importance of incorporating AI methodologies with knowledge management to enhance innovation performance. Some things that come to mind are AI, the ability to think of new ideas, the ability to share and manage knowledge, PLS-SEM, and how well a business does.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average