杠杆(统计)
大数据
分析
多样性(控制论)
客户参与度
灵活性(工程)
营销
业务
适度
知识管理
数据科学
计算机科学
经济
管理
数据挖掘
万维网
人工智能
机器学习
社会化媒体
作者
Tereza Dean,Haisu Zhang,Yazhen Xiao
标识
DOI:10.1080/0267257x.2023.2273277
摘要
Despite the growing diversity of customer needs, little empirical evidence would guide managers to leverage customer need diversity (CND) for radical innovation. Building on the knowledge-based view and dynamic capabilities, the authors explore relationships among CND, strategic flexibility, big data analytics capabilities, and radical innovation performance. With 308 survey responses from innovation managers, the authors find that CND impacts radical innovation performance via (1) mediation through strategic flexibility and (2) moderation by volume, variety, and velocity capabilities associated with big data analytics. The moderation effects of volume and velocity capabilities are positive and negative simultaneously, depending on the purpose for which CND is utilised. Therefore, to leverage customer need diversity, firms need to build strategic flexibility and exercise caution when utilising big data analytics capabilities.
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