A multi-faceted approach for leveraging AI and intellectual capital for enhanced supply chain decision-making

Purpose This study aims to investigate the mediating role of different types of intellectual capital (human, structural and relational) in the relationship between artificial intelligence-driven supply chain analytics capability (AI-SCAC) and various supply chain decision-making processes, specifically rational, bounded and tacit decision-making. Design/methodology/approach The study used a quantitative survey strategy to collect the data. A total of 320 valid questionnaires were received from manufacturing companies. The data were analysed using structural equation modeling with partial least squares (PLS-SEM) approach through SmartPLS software. Findings The results indicate that human and structural capital significantly mediate the relationship between AI-SCAC and rational and bounded decision-making processes. However, structural capital does not mediate the relationship between AI-SCAC and the tacit decision-making process. Moreover, relational capital does not show a significant mediating effect on all of the decision-making processes. Notably, structural capital has the strongest impact on rational and bounded decision-making, while human capital plays a critical role across all three decision-making processes, including tacit decision-making. Originality/value This study contributes to the literature by providing a nuanced understanding of the differentiated impact of intellectual capital components on various decision-making processes within the context of AI-SCAC. While previous studies have broadly acknowledged the role of intellectual capital in decision-making, this research provides more understanding of how specific types of intellectual capital interact with AI to influence distinct decision-making processes. Notably, the differential impact of structural capital on rational and bounded decision-making versus tacit decision-making highlights the need for organisations to adopt a more tailored approach in leveraging their intellectual capital.

Authors

Publication Details

Journal
Journal of Intellectual Capital
Published
2025-01-29
DOI
https://doi.org/10.1108/jic-07-2024-0201
Citations
10
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
22.84
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article

A multi-faceted approach for leveraging AI and intellectual capital for enhanced supply chain decision-making

Moheeb Abualqumboz, Saad Zighan, Ziad Alkalha, Luay Jum’a
10 citations
Journal of Intellectual Capital
Big Data and Business Intelligence
22.84
article

A multi-faceted approach for leveraging AI and intellectual capital for enhanced supply chain decision-making

Moheeb Abualqumboz, Saad Zighan, Ziad Alkalha, Luay Jum’a
article en
10 citations

Abstract

Purpose This study aims to investigate the mediating role of different types of intellectual capital (human, structural and relational) in the relationship between artificial intelligence-driven supply chain analytics capability (AI-SCAC) and various supply chain decision-making processes, specifically rational, bounded and tacit decision-making. Design/methodology/approach The study used a quantitative survey strategy to collect the data. A total of 320 valid questionnaires were received from manufacturing companies. The data were analysed using structural equation modeling with partial least squares (PLS-SEM) approach through SmartPLS software. Findings The results indicate that human and structural capital significantly mediate the relationship between AI-SCAC and rational and bounded decision-making processes. However, structural capital does not mediate the relationship between AI-SCAC and the tacit decision-making process. Moreover, relational capital does not show a significant mediating effect on all of the decision-making processes. Notably, structural capital has the strongest impact on rational and bounded decision-making, while human capital plays a critical role across all three decision-making processes, including tacit decision-making. Originality/value This study contributes to the literature by providing a nuanced understanding of the differentiated impact of intellectual capital components on various decision-making processes within the context of AI-SCAC. While previous studies have broadly acknowledged the role of intellectual capital in decision-making, this research provides more understanding of how specific types of intellectual capital interact with AI to influence distinct decision-making processes. Notably, the differential impact of structural capital on rational and bounded decision-making versus tacit decision-making highlights the need for organisations to adopt a more tailored approach in leveraging their intellectual capital.

Journal of Intellectual CapitalVol. 26(2)
Openalex Percentile: Top 1%
Big Data and Business Intelligence
22.84
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