组织绩效
知识管理
过程(计算)
结构方程建模
认知
组织承诺
组织学习
价值(数学)
自动化
测量数据收集
业务
组织研究
计算机科学
公共关系
心理学
政治学
工程类
机器学习
神经科学
操作系统
统计
机械工程
数学
作者
Patrick Mikalef,Kristina Lemmer,Cindy Schaefer,Maija Ylinen,Siw Olsen Fjørtoft,Hans Torvatn,Manjul Gupta,Björn Niehaves
标识
DOI:10.1016/j.giq.2022.101797
摘要
Developing the capacity to digitally transform through AI is becoming increasingly important for public organizations, as a constantly growing number of their activities is now becoming AI-driven. This prompts an understanding of how public organizations should organize in order to derive value from AI, as well as in which forms can value be realized. Against this background, this paper examines how AI capabilities can lead to organizational performance by inducing change in key organizational activities. Using a survey-based study, we collected data from European public organizations regarding the indirect effect AI capabilities have on organizational performance. Data was collected from 168 municipalities from three European countries (Norway, Germany, and Finland) and analyzed by means of structural equation modeling. Our findings show that AI capabilities have a positive effect on process automation, cognitive insight generation, and cognitive engagement. While process automation and cognitive insights are having a positive effect on organizational performance, we found that cognitive engagement negatively affects organizational performance. Our findings document the key resources that constitute an AI capability and showcase the effects of fostering such capabilities on key organizational activities, and in turn organizational performance.
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