The Impact of Artificial Intelligence on Enterprise Resource Planning Systems (ERP) and Employee Purchase Programs (EPP) in Saudi Arabia.

This study explores the profound impact of Artificial Intelligence (AI) on Enterprise Resource Planning (ERP)systems and Employee Purchase Programs (EPP) in Saudi Arabia, focusing on enhancing operational efficiency,improving employee satisfaction, and addressing the challenges associated with adopting these technologies. Theintegration of AI technologies, including Machine Learning (ML), Natural Language Processing (NLP), and RoboticProcess Automation (RPA), has demonstrated its potential to revolutionize ERP systems by optimizing resourceallocation, streamlining operations, and supporting strategic decision-making. Similarly, AI-powered EPPs offerpersonalized and transparent solutions, fostering employee engagement and boosting workplace morale.The study employs a mixed-method approach combining quantitative and qualitative analyses, surveying 180 participantsacross various sectors. Belonging to 113 companies and institutions from all sectors, The sample was derived by utilizingpublicly available lists of companies from the Saudi Stock Exchange as a primary source. Statistical tools such as SPSSwere used for quantitative analysis, while NVivo provided qualitative insights. Findings reveal a significant positiveimpact of AI integration on ERP system functionality, with key challenges identified, including data security concerns,resistance to change, and high implementation costs. The results also indicate a weak correlation between AI practicesand employee satisfaction, underscoring the need for more advanced customization and implementation strategies.This research provides a practical framework for leveraging AI to optimize ERP and EPP systems. It emphasizes theimportance of building robust technical infrastructure, fostering a flexible organizational culture that supportsinnovation, and adhering to ethical guidelines for responsible AI use. Moreover, it highlights promising opportunitiesthrough advanced technologies such as the Internet of Things (IoT) and quantum computing, which can contribute tooperational sustainability and enhance mutual benefits for organizations and employees.This study represents a valuable contribution to companies striving for operational excellence and higher employeesatisfaction by addressing the challenges and opportunities of integrating AI into their organizational systems. It offersactionable insights to navigate this transformation effectively and sustainably

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-12
DOI
https://doi.org/10.5281/zenodo.14859288
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
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article

The Impact of Artificial Intelligence on Enterprise Resource Planning Systems (ERP) and Employee Purchase Programs (EPP) in Saudi Arabia.

Zenodo (CERN European Organization for Nuclear Research)
Organizational and Employee Performance
article

The Impact of Artificial Intelligence on Enterprise Resource Planning Systems (ERP) and Employee Purchase Programs (EPP) in Saudi Arabia.

article en

Abstract

This study explores the profound impact of Artificial Intelligence (AI) on Enterprise Resource Planning (ERP)systems and Employee Purchase Programs (EPP) in Saudi Arabia, focusing on enhancing operational efficiency,improving employee satisfaction, and addressing the challenges associated with adopting these technologies. Theintegration of AI technologies, including Machine Learning (ML), Natural Language Processing (NLP), and RoboticProcess Automation (RPA), has demonstrated its potential to revolutionize ERP systems by optimizing resourceallocation, streamlining operations, and supporting strategic decision-making. Similarly, AI-powered EPPs offerpersonalized and transparent solutions, fostering employee engagement and boosting workplace morale.The study employs a mixed-method approach combining quantitative and qualitative analyses, surveying 180 participantsacross various sectors. Belonging to 113 companies and institutions from all sectors, The sample was derived by utilizingpublicly available lists of companies from the Saudi Stock Exchange as a primary source. Statistical tools such as SPSSwere used for quantitative analysis, while NVivo provided qualitative insights. Findings reveal a significant positiveimpact of AI integration on ERP system functionality, with key challenges identified, including data security concerns,resistance to change, and high implementation costs. The results also indicate a weak correlation between AI practicesand employee satisfaction, underscoring the need for more advanced customization and implementation strategies.This research provides a practical framework for leveraging AI to optimize ERP and EPP systems. It emphasizes theimportance of building robust technical infrastructure, fostering a flexible organizational culture that supportsinnovation, and adhering to ethical guidelines for responsible AI use. Moreover, it highlights promising opportunitiesthrough advanced technologies such as the Internet of Things (IoT) and quantum computing, which can contribute tooperational sustainability and enhance mutual benefits for organizations and employees.This study represents a valuable contribution to companies striving for operational excellence and higher employeesatisfaction by addressing the challenges and opportunities of integrating AI into their organizational systems. It offersactionable insights to navigate this transformation effectively and sustainably

Zenodo (CERN European Organization for Nuclear Research)
University of Tabuk (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Organizational and Employee Performance
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