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Artificial intelligence and knowledge sharing: Contributing factors to organizational performance

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Olan, Femi, Arakpogun, Emmanuel Ogiemwonyi, Suklan, Jana, Nakpodia, Franklin, Damij, Nadja and Jayawickrama, Uchitha (2022) Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 145. pp. 605-615. ISSN 1873-7978

Item Type: Article


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 applications. 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, organizations 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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More Information

Uncontrolled Keywords: Artificial intelligence Business processes Knowledge sharing Organizational performance Performance management
Related URLs:
Depositing User: Nadja Damij


Item ID: 16215
Identification Number:
ISSN: 1873-7978
Official URL:

Users with ORCIDS

ORCID for Femi Olan: ORCID iD
ORCID for Jana Suklan: ORCID iD
ORCID for Franklin Nakpodia: ORCID iD
ORCID for Nadja Damij: ORCID iD

Catalogue record

Date Deposited: 08 Jul 2024 11:59
Last Modified: 08 Jul 2024 12:00


Author: Femi Olan ORCID iD
Author: Jana Suklan ORCID iD
Author: Franklin Nakpodia ORCID iD
Author: Nadja Damij ORCID iD
Author: Emmanuel Ogiemwonyi Arakpogun
Author: Uchitha Jayawickrama

University Divisions

Faculty of Business, Law and Tourism > Sunderland Business School


Business and Management > Business and Management

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