The impact of artificial intelligence on organizational performance: The mediating role of employee productivity

Q1 Economics, Econometrics and Finance
Belayneh Yitayew Kassa , Eyob Ketema Worku
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Abstract

The adoption of Artificial intelligence (AI) technology in the workplace is becoming more common, with several research highlighting both its positive and adverse influence on employee productivity (EP) and organizational performance (OP). Furthermore, there is a scarcity of research focused on the mediator role of EP in the nexus between AI and OP. This ambiguity underscores the need for a comprehensive understanding of how AI interacts with EP and OP within specific organizational contexts, such as Ethio Telecom. Therefore, this study aimed to investigate the impact of AI on OP with a mediating role of EP. Quantitative data was collected through an online survey using Kobo Toolbox from 172 purposively selected employees. AI was modeled as third-order formative construct, while EP and OP were first-order reflective constructs. The variables were measured using validated multi-item questionnaires with a 7-point Likert scale. The association between these variables was investigated with PLS-SEM in SMART PLS 4.1.03. The results showed that there were positive and significant relationships between AI and EP, AI and OP, EP and OP, and AI on OP through EP. Furthermore, EP served as a partial mediator between OP and AI. These findings are consistent with previous studies and theories, such as the resource-based view and human capital theories. The results suggest that organizations can dramatically improve performance in the digital age by implementing AI and creating a work environment that encourages productivity.
人工智能对组织绩效的影响:员工生产力的中介作用
人工智能(AI)技术在工作场所的应用正变得越来越普遍,一些研究强调了它对员工生产力(EP)和组织绩效(OP)的积极和消极影响。此外,关于EP在AI和OP之间关系中的中介作用的研究很少。这种模糊性强调了需要全面了解AI在特定组织背景下(如埃塞俄比亚电信)如何与EP和OP相互作用。因此,本研究旨在探讨AI在EP的中介作用下对OP的影响。定量数据是通过使用Kobo工具箱对172名有目的地选择的员工进行在线调查收集的。AI为三阶形成性构式,EP和OP为一阶反思构式。变量的测量采用7点李克特量表的有效的多项目问卷。在SMART PLS 4.1.03中使用PLS- sem研究了这些变量之间的关联。结果表明,AI与EP、AI与OP、EP与OP、AI通过EP与OP呈正相关。此外,EP在OP和AI之间起部分中介作用。这些发现与资源基础理论、人力资本理论等前人的研究和理论是一致的。研究结果表明,通过实施人工智能和创造一个鼓励生产力的工作环境,企业可以在数字时代大幅提高绩效。
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
Journal of Open Innovation: Technology, Market, and Complexity
Journal of Open Innovation: Technology, Market, and Complexity Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
11.00
自引率
0.00%
发文量
196
审稿时长
1 day
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