大数据
操作化
杠杆(统计)
业务
测量数据收集
新产品开发
编配
分析
营销
计算机科学
数据科学
数据挖掘
艺术
哲学
视觉艺术
机器学习
认识论
统计
音乐剧
数学
作者
Jeff S. Johnson,Scott B. Friend,Hannah S. Lee
摘要
Big data is transforming the new product development (NPD) process. Organizations are investing heavily in big data capabilities to capitalize on the ongoing analytics movement. Yet there is a lack of understanding of how firms can leverage big data as a capability to generate innovation success in dynamic marketplaces. To address this need for improved insights, the authors operationalize and analyze the 3Vs of big data usage—volume, variety, and velocity—in an NPD model. Drawing on the results of a survey of 261 managers reporting on their business unit's NPD processes and big data usage, this study identifies the antecedents of the multidimensional usage of big data. Empirically assessing the effects of firm orientations, the authors show that an exploration orientation has a positive effect on all three dimensions of a firm's big data usage while an exploitation orientation has no effect. Moving downstream, the results also reveal that the environmental factor of customer turbulence interacts differentially with the big data usage dimensions' impact on new product revenue (NPR). Specifically, customer turbulence accentuates the relationship between big data velocity and NPR but attenuates the relationship between big data volume and NPR.
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