编配
资源(消歧)
过程(计算)
知识管理
基于资源的视图
业务
产业组织
面子(社会学概念)
过程管理
技术变革
人力资源
竞争情报
资源管理(计算)
工业4.0
竞争优势
人力资源管理
资源配置
动态能力
钥匙(锁)
战略管理
计算机科学
定性研究
机制(生物学)
大数据
营销
管理科学
战略配合
透视图(图形)
迭代和增量开发
经济
服务(商务)
点(几何)
作者
David T. Wagner,Naomi Haefner,Vinit Parida,Joakim Wincent
标识
DOI:10.5465/amproc.2025.214bp
摘要
To stay competitive in the face of artificial intelligence (AI), industry leaders must strategically orchestrate their resources and capabilities. Given the significant uncertainty and costs associated with AI, this study develops a model for how firms can effectively pioneer AI-driven solutions by orchestrating resources within and beyond organizational boundaries. Drawing on a qualitative longitudinal analysis of two global industry leaders, we uncover an iterative resource orchestration process comprising synchronizing, curating, and synergizing of resources. Notably, our findings highlight ‘resource curation’ as a critical mechanism to navigate the high costs and uncertainties of AI. Our findings contributes to the management literature by expanding the understanding of resource orchestration across firm boundaries and providing new insights into the strategic implications of AI.
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