Assessing the impact of big data on firm innovation performance: Big data is not always better dataMaryam Ghasemaghaei and Goran Calic Journal of Business Research, 2020, vol. 108, issue C, 147-162 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. Keywords: Big data; Data velocity; Data variety; Data volume; Innovation performance; Firm performance (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:108:y:2020:i:c:p:147-162 DOI: 10.1016/j.jbusres.2019.09.062 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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