比例(比率)
服务创新
服务(商务)
开发(拓扑)
业务
计算机科学
知识管理
创新管理
工程管理
人工智能
过程管理
系统工程
第三产业
技术创新
制造工程
工程类
人工智能应用
作者
Jian Zhou,Y Zhang,Hong Yun Wang
标识
DOI:10.1080/02642069.2026.2681048
摘要
With the growing integration of artificial intelligence (AI) in the service sector, there is increasing interest in understanding firms’ capabilities to innovate through AI. However, research on AI-powered service innovation capability (AISIC) remains limited by the lack of validated measurement instruments. This study addresses this gap by developing and validating a multidimensional scale to assess AISIC. Based on semi-structured interviews and three multi-source field studies, yielding a total sample of 848 employees, we provide evidence for the scale’s content, factorial, discriminant, convergent, and predictive validity. The final 9-item scale captures AISIC as a higher-order construct comprising three dimensions. Results show that the AISIC scale demonstrates strong psychometric properties and significantly predicts key organizational outcomes. This study offers a practical tool for assessing the extent to which organizations are equipped to drive service innovation through AI, contributing to both theory development and managerial practice in AI-powered service contexts.
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