The Role of Artificial Intelligence Applications in Building Sustainable Supply Chains: The Moderating Role of Achieving Sustainable Development Goals (SDGs)

This Research aims to investigate the significance of the application of Artificial Intelligence in establishing and implementing sustainable supply chains, and to scrutinize the mediating role of the attainment of the Sustainable Development Goals in the pharmaceutical sector in the state of Jordan. This Research was designed based on the Dynamic Capabilities Theory to realize that the application of AI in organizations can improve organizational intelligence, efficiency, and sustainability performance, while the achievement of SDGs can enhance the application of AI in sustainability performance, integrating organizational, natural, and social aspects. The Research used a quantitative methodology with questionnaires, distributed to 412 managers of administrative, technical, and healthcare sections in the industry, out of 500 questionnaires sent to them in total. The Research used a five-point Likert scale in measuring the constructs of AI application, SDG achievement, and sustainability performance of supply chain management in organizations. The Research used SmartPLS version 4 to examine the measurement and structural models, scrutinizing assumptions, robustness, and model fit indexes via bootstrapping and Latent Variable analyses. The reliability test applied indicated high internal consistency across constructs, with values higher than 0.80 for Cronbach's alpha, ensuring the reliability and consistency of the data retrieved, validating the measurement models with theoretical assumptions in the Research. The models were scrutinized via multiple analytical assumptions to avoid any contradictions in data analysis results. The models' assumptions were valid due to consistent analytical results to validate AI, SDG, and sustainability performance in the Research across models and theories applied in this Research on AI application in sustainability performance in the pharmaceutical sector in the state of Jordan with insight support to AI evolving as approving sustainability factor in organizational performance for pharmaceutical organizations in Jordan cornered on the Dynamic Capabilities Theory Assuming AI Application.

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Publication Details

Journal
International Journal of Accounting and Economics Studies
Published
2025-11-06
DOI
https://doi.org/10.14419/t9wak682
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
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article

The Role of Artificial Intelligence Applications in Building Sustainable Supply Chains: The Moderating Role of Achieving Sustainable Development Goals (SDGs)

Ra’ed Moh’d Taisir Masa’deh, Majd Mohammad Omoush, Ala’a n Al-frejat
International Journal of Accounting and Economics Studies
Organizational and Employee Performance
article

The Role of Artificial Intelligence Applications in Building Sustainable Supply Chains: The Moderating Role of Achieving Sustainable Development Goals (SDGs)

Ra’ed Moh’d Taisir Masa’deh, Majd Mohammad Omoush, Ala’a n Al-frejat
article en

Abstract

This Research aims to investigate the significance of the application of Artificial Intelligence in establishing and implementing sustainable supply chains, and to scrutinize the mediating role of the attainment of the Sustainable Development Goals in the pharmaceutical sector in the state of Jordan. This Research was designed based on the Dynamic Capabilities Theory to realize that the application of AI in organizations can improve organizational intelligence, efficiency, and sustainability performance, while the achievement of SDGs can enhance the application of AI in sustainability performance, integrating organizational, natural, and social aspects. The Research used a quantitative methodology with questionnaires, distributed to 412 managers of administrative, technical, and healthcare sections in the industry, out of 500 questionnaires sent to them in total. The Research used a five-point Likert scale in measuring the constructs of AI application, SDG achievement, and sustainability performance of supply chain management in organizations. The Research used SmartPLS version 4 to examine the measurement and structural models, scrutinizing assumptions, robustness, and model fit indexes via bootstrapping and Latent Variable analyses. The reliability test applied indicated high internal consistency across constructs, with values higher than 0.80 for Cronbach's alpha, ensuring the reliability and consistency of the data retrieved, validating the measurement models with theoretical assumptions in the Research. The models were scrutinized via multiple analytical assumptions to avoid any contradictions in data analysis results. The models' assumptions were valid due to consistent analytical results to validate AI, SDG, and sustainability performance in the Research across models and theories applied in this Research on AI application in sustainability performance in the pharmaceutical sector in the state of Jordan with insight support to AI evolving as approving sustainability factor in organizational performance for pharmaceutical organizations in Jordan cornered on the Dynamic Capabilities Theory Assuming AI Application.

International Journal of Accounting and Economics StudiesVol. 12(7)
Tafila Technical University (JO), University of Jordan (JO)
Openalex Percentile: Top 83%
Organizational and Employee Performance
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