The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Big Data Facilitation, Utilization, and Monetization: Exploring the 3Vs in a New Product Development Process
Abstract
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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1 retracted
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Algorithmic bias in data-driven innovation in the age of AI
Akter, S., McCarthy, G., Sajib, S., Michael, K., Dwivedi, Y. K., D’Ambra, J., & Shen, K. N. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102387 · Cited by 440
Digitalizing procurement: The impact of data analytics on supply chain performance
Hallikas, J., Immonen, M., & Brax, S. (2021) · Supply Chain Management: An International Journal · doi:10.1108/scm-05-2020-0201 · Cited by 218
Ghasemaghaei, M. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102055 · Cited by 135
Zhang, H., Song, M., & He, H. (2020) · Sustainability · doi:10.3390/su12030949 · Cited by 77
Sena, V., & Ozdemir, S. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.05.016 · Cited by 25
Metadata
- Authors
- Johnson, J. S., Friend, S. B., & Lee, H. S.
- Venue
- Journal of Product Innovation Management
- Publisher
- Wiley
- Published
- 2017-06-30
- Volume
- 34
- Issue
- 5
- Pages
- 640-658
- ISSN
- 0737-6782 (ISSN-L)
- 1540-5885
- OpenAlex
- W2730922864
- Cited by
- 282
- References
- 104
- FWCI
- 21.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Johnson, J. S., Friend, S. B., & Lee, H. S. (2017). Big Data Facilitation, Utilization, and Monetization: Exploring the 3Vs in a New Product Development Process. Journal of Product Innovation Management. https://doi.org/10.1111/jpim.12397
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
