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Bridging realities into organizations through innovation and productivity: Exploring the intersection of artificial intelligence, internet of things, and big data analytics in the metaverse environment using a multi-method approach
Decision Support Systems ( IF 6.7 ) Pub Date : 2024-07-26 , DOI: 10.1016/j.dss.2024.114290
Ashutosh Samadhiya , Rohit Agrawal , Anil Kumar , Sunil Luthra

This study investigates how organizations may increase innovation and productivity through the Metaverse environment efficacy (MVEE), Artificial intelligence usage (AIU), Internet of Things usage (IoTU), and Big Data Analytics usage (BDAU). The study gathers responses from the gaming, information technology, and entertainment industries, using a multi-method involving Partial Least Squares Structural Equation Modeling, Fuzzy-set Qualitative Comparative Analysis, and Artificial Neural Networks to investigate how these technologies might be used to improve the linking of disparate realities in a business context. The use of AI in personalized and decision-support applications, IoT for real-time data collecting, and BDAU for an insights-driven strategy all combine to create a dynamic MVEE ecosystem. The research also delves into theoretical implications concerning the viability of using the MVEE to boost innovation and productivity. This research identifies the applications of using AI, IoT, and BDA to drive organizational performance in terms of innovation and productivity. Also, the research lays out the role of AI, IoT, and BDA in creating a dynamic metaverse ecosystem.

中文翻译:


通过创新和生产力将现实融入组织:使用多种方法探索虚拟宇宙环境中人工智能、物联网和大数据分析的交叉点



本研究调查组织如何通过 Metaverse 环境效能 (MVEE)、人工智能使用 (AIU)、物联网使用 (IoTU) 和大数据分析使用 (BDAU) 来提高创新和生产力。该研究收集了游戏、信息技术和娱乐行业的反馈,使用了偏最小二乘结构方程模型、模糊集定性比较分析和人工神经网络等多种方法来研究如何使用这些技术来改善将业务环境中不同的现实联系起来。在个性化和决策支持应用程序中使用人工智能、用于实时数据收集的物联网以及用于洞察驱动策略的 BDAU 所有这些结合起来创建了一个动态的 MVEE 生态系统。该研究还深入探讨了有关使用 MVEE 促进创新和生产力的可行性的理论意义。这项研究确定了使用人工智能、物联网和 BDA 来推动组织在创新和生产力方面的绩效的应用​​。此外,该研究还阐述了人工智能、物联网和 BDA 在创建动态元宇宙生态系统中的作用。
更新日期:2024-07-26
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