The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Assessing the impact of big data on firm innovation performance: Big data is not always better data
Abstract
Abstract In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial returns, and operational excellence). To address this objective, we collected data from 239 managers and empirically examined the relationships in the proposed model. The results reveal that, while data variety and velocity positively enhance firm innovation performance, data volume has no significant impact. The finding that data volume does not play a critical role in enhancing firm innovation performance contributes novel insights to the literature by contradicting the prevalent belief that big data is better data. Moreover, the findings reveal that data velocity plays a more important role in improving firm innovation performance than other big data characteristics.
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Xue, L., Zhang, Q., Zhang, X., & Li, C. (2022) · Sustainability · doi:10.3390/su14127497 · Cited by 281
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Qinqin, W., Qalati, S. A., Hussain, R. Y., Irshad, H., Tajeddini, K., Siddique, F., & Gamage, T. C. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100415 · Cited by 74
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Metadata
- Authors
- Ghasemaghaei, M., & Calic, G.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 108
- Pages
- 147-162
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2990784333
- Cited by
- 539
- References
- 29
- FWCI
- 43.76
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
