Big Data Facilitation, Utilization, and Monetization: Exploring the 3Vs in a New Product Development Process

被引:199
作者
Johnson, Jeff S. [1 ,2 ,3 ,4 ,5 ]
Friend, Scott B. [6 ]
Lee, Hannah S. [6 ]
机构
[1] UMKC, Henry W Bloch Sch Management, Mkt, Kansas City, MO USA
[2] Union Pacific Railrd, Inside Sales, Field Sales, Prod Management, Omaha, NE USA
[3] Union Pacific Railrd, Div Management, Omaha, NE USA
[4] Union Pacific Railrd, Inside Sales, Field Sales, Product Management, Los Angeles, CA USA
[5] Union Pacific Railrd, Div Management, Los Angeles, CA USA
[6] Miami Univ, Farmer Sch Business, Mkt, Oxford, OH 45056 USA
关键词
STRUCTURAL EQUATION MODELS; MARKETING CAPABILITIES; FINANCIAL PERFORMANCE; EXPLORATION; INNOVATION; EXPLOITATION; KNOWLEDGE; IMPACT; ANTECEDENTS; ANALYTICS;
D O I
10.1111/jpim.12397
中图分类号
F [经济];
学科分类号
02 ;
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 usagevolume, variety, and velocityin 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.
引用
收藏
页码:640 / 658
页数:19
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