The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms

Q1 Social Sciences
H. Ahmad, Rami Hanandeh, Firas Raheem Younis Alazzawi, Ali Al-Daradkah, Ala'a Tariq ElDmrat, Y. Ghaith, S. Darawsheh
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引用次数: 5

Abstract

This study sought to investigate the impacts of big data, artificial intelligence (AI), and business intelligence (BI) on Firms' e-learning and business performance at Jordanian telecommunications industry. After the samples were checked, a total of 269 were collected. All of the information gathered throughout the investigation was analyzed using the PLS software. The results show a network of interconnections can improve both e-learning and corporate effectiveness. This research concluded that the integration of big data, AI, and BI has a positive impact on e-learning infrastructure development and organizational efficiency. The findings indicate that big data has a positive and direct impact on business performance, including Big Data External and Internal, Innovative Usage, Indexing, and Sources Accuracy. In addition, Artificial intelligence positively affects business performance, including Data Accuracy, Data Transparency, Data Speed, and Creative Thinking and Learning. Moreover, business intelligence has a direct and positive impact on business performance, including Data Warehouse, Data Mining, Business Process Management, and Competitive Intelligence. In addition, the findings indicate that e-learning which represents system quality, information quality, and self-efficacy has a positive relationship on enhancing business performance. Interestingly, the present findings are inconsistent with those of previous studies showing the variables of interest which have no effect on e-learning and business performance. Taken together, the findings of this study suggest that firms should begin to apply processes related with applying e-learning and developing business performance. The novelty of the present study lies in highlighting the key dimensions of big data, artificial intelligence, and business intelligence when it comes to enhancing e-learning and business performance at Jordanian telecommunications industry.
大数据、人工智能和商业智能对电子学习和业务绩效的影响:来自约旦电信公司的证据
本研究旨在调查大数据、人工智能(AI)和商业智能(BI)对约旦电信行业企业电子学习和业务绩效的影响。样品检查后,共采集了269个。在整个调查过程中收集的所有信息都使用PLS软件进行分析。研究结果表明,相互联系的网络可以提高电子学习和企业效率。本研究的结论是,大数据、人工智能和商业智能的整合对电子学习基础设施的开发和组织效率产生了积极的影响。研究结果表明,大数据对企业绩效有积极和直接的影响,包括外部和内部大数据、创新使用、索引和来源准确性。此外,人工智能对业务绩效产生积极影响,包括数据准确性、数据透明度、数据速度以及创造性思维和学习。此外,商业智能对业务绩效有直接和积极的影响,包括数据仓库、数据挖掘、业务流程管理和竞争情报。此外,研究结果显示,代表系统品质、资讯品质和自我效能感的电子学习对提升企业绩效有正向关系。有趣的是,本研究结果与先前的研究结果不一致,这些研究表明感兴趣的变量对电子学习和业务绩效没有影响。综上所述,本研究的结果表明,企业应该开始应用与应用电子学习和发展业务绩效相关的流程。本研究的新颖之处在于强调了大数据、人工智能和商业智能的关键维度,当涉及到提高约旦电信行业的电子学习和业务绩效时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
163
审稿时长
8 weeks
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