Investigating the use of an Artificial Intelligence Model in an ERP Cloud-Based System
Investigating the use of an Artificial Intelligence Model in an ERP Cloud-Based System
复制标题
研究人工智能模型在 ERP 云系统中的使用
DOI：
10.22161/eec.72.1
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Nikhitha Yathiraju
中科院分区：
文献类型：
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作者：
Nikhitha Yathiraju
企业资源规划（ERP）系统是提高企业管理绩效的必要手段。然而，信息技术（IT）专业人员对人工智能（AI）和机器学习与ERP云服务平台集成的看法是未知的。很少有研究探讨领导者如何将人工智能用于战略管理，但没有研究定性地探讨人工智能在云ERP系统中的集成。这项定性的现象学研究探讨了IT专业人员对在云ERP系统增强中将AI和监督机器（S-machine）学习集成到云服务平台中的看法。本研究开发了两个研究问题：1）IT专业人员对使用AI模型集成SaaS和ERP的看法是什么？2）IT专业人员对如何集成AI以增强使用ERP云系统的安全性有何看法？通过解释性的透镜和对集成应用程序编程接口（API）的关注，有目的的抽样被用来采访五位人工智能专家，三位机器学习（ML）专家，五位网络安全专家，两位云服务提供商提供了他们在人工智能和S机器学习方面的实际经验。会议提出了五个主要主题，包括1）使用AI模型集成SaaS和ERP有助于有效地执行工作，2）将AI集成到云服务ERP和SaaS中的挑战，3）将AI完全实施到云服务ERP或SaaS中所需的资源，4）开发和实施ERP和SaaS AI模型的最佳实践，以及5）如何通过集成AI来优化ERP云系统的安全性。这些研究结果对个人和组织提高管理绩效具有积极意义。虽然这项研究并没有提出一个新的理论，这项研究扩展了目前的文献中的应用理论相关的技术整合。
Enterprise Resource Planning (ERP) systems are necessary to improve an enterprise's management performance. However, the perception of information technology (IT) professionals about the integration of artificial intelligence (AI) and machine learning with ERP cloud service platforms is unknown. Few studies have examined how leaders can implement AI for strategic management, but no study has qualitatively explored AIs integration in the cloud ERP system. This qualitative phenomenological study explored IT professionals’ perceptions regarding the integration of AI and Supervised-machine (S-machine) learning into cloud service platforms in the enhancement of the cloud ERP system. Two research questions were developed for this study: 1) What are the perceptions of IT professionals regarding the use of an AI model to integrate SaaS and ERP? and 2) What are the perceptions of IT professionals regarding how AI can be integrated in order to enhance the security of using an ERP cloud-based system? Through a hermeneutical lens and a focus on integrating the Application Programming Interface (API), purposive sampling was used to interview five AI experts, three Machine Learning (ML) experts, five Cybersecurity experts, and two Cloud Service Providers provided their lived experiences with AI and S-machine learning. Five main themes emerged, including 1) use of an AI model to integrate SaaS and ERP helped perform work efficiently, 2) challenges for integrating AI into cloud service ERP and SaaS, 3) resources needed to fully implement an AI into cloud-service ERP or SaaS, 4) the best practices for developing and implementing an AI model for ERP and SaaS, and 5) how security of an ERP clouds-based system is optimized by integrating AI. The culmination of these findings has positive implications for individuals and organizations to improve management performance. While this study does not proposal a new theory, this study extends current literature on the application of theories related to technology integration.