定性比较分析
吸收能力
动态能力
透视图(图形)
知识管理
业务
构造(python库)
过程(计算)
资源(消歧)
集合(抽象数据类型)
计算机科学
人工智能
机器学习
计算机网络
操作系统
程序设计语言
作者
Mohamad Abou-Foul,J. Ruiz-Alba,Pablo J. López-Tenorio
标识
DOI:10.1016/j.jbusres.2022.113609
摘要
The advent of artificial intelligence (AI)-based technologies has opened new opportunities for manufacturers to maintain their technological edge and address pressing societal challenges. This research investigates the nature of the relationships between AI capabilities, servitization, and the role of absorptive capacity. Building on dynamic capabilities literature, we developed and empirically tested a model using structural equation modeling (SEM) and further applied a fuzzy-set qualitative comparative analysis (fsQCA). Through the construct of AI capabilities and its four sub-dimensions, we find supportive evidence from our model estimates employing data from 185 manufacturing firms in the US and EU. The study findings highlight the positive impact of AI capabilities on servitization; this relationship is positively moderated by absorptive capacity. Furthermore, the road to servitization is through advancing AI capabilities related to internal process and resource optimization coupled with AI for social innovation services. The study’s theoretical and pragmatic implications are discussed.
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