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Artificial intelligence and knowledge sharing: Contributing factors to organizational performance

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

Abstract

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

Identifiers

Item ID: 15653
Identification Number: https://doi.org/10.1016/j.jbusres.2022.03.008
ISSN: 1873-7978
URI: http://sure.sunderland.ac.uk/id/eprint/15653
Official URL: https://www.sciencedirect.com/science/article/pii/...

Users with ORCIDS

ORCID for Femi Olan: ORCID iD orcid.org/0000-0002-7377-9882
ORCID for Jana Suklan: ORCID iD orcid.org/0000-0001-8665-6593
ORCID for Franklin Nakpodia: ORCID iD orcid.org/0000-0001-7712-5328
ORCID for Nadja Damij: ORCID iD orcid.org/0000-0002-8428-3049

Catalogue record

Date Deposited: 20 Feb 2023 12:10
Last Modified: 20 Feb 2023 12:10

Contributors

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

Subjects

Business and Management > Business and Management

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