Electronic Resource
Article - Artificial intelligence and knowledge sharing: Contributing factors to organizational performance Volume 145, Halaman 330–340
The evolution of organizational processes and performance over the past decade has been largely enabled by
cutting-edge technologies such as data analytics, artificial intelligence (AI), and business intelligence applica-
tions. The increasing use of cutting-edge technologies has boosted effectiveness, efficiency and productivity, as
existing and new knowledge within an organization continues to improve AI abilities. Consequently, AI can
identify redundancies within business processes and offer optimal resource utilization for improved performance.
However, the lack of integration of existing and new knowledge makes it problematic to ascertain the required
nature of knowledge needed for AI’s ability to optimally improve organizational performance. Hence, organi-
zations continue to face reoccurring challenges in their business processes, competition, technological
advancement and finding new solutions in a fast-changing society. To address this knowledge gap, this study
applies a fuzzy set-theoretic approach underpinned by the conceptualization of AI, knowledge sharing (KS) and
organizational performance (OP). Our result suggests that the implementation of AI technologies alone is not
sufficient in improving organizational performance. Rather, a complementary system that combines AI and KS
provides a more sustainable organizational performance strategy for business operations in a constantly changing
digitized society.
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