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Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy

Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy

Saida Sultana, Shahriar Akter, Elias Kyriazis, Samuel Fosso Wamba
Copyright: © 2021 |Volume: 29 |Issue: 3 |Pages: 23
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799859024|DOI: 10.4018/JGIM.2021050107
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MLA

Sultana, Saida, et al. "Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy." JGIM vol.29, no.3 2021: pp.165-187. http://doi.org/10.4018/JGIM.2021050107

APA

Sultana, S., Akter, S., Kyriazis, E., & Wamba, S. F. (2021). Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy. Journal of Global Information Management (JGIM), 29(3), 165-187. http://doi.org/10.4018/JGIM.2021050107

Chicago

Sultana, Saida, et al. "Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy," Journal of Global Information Management (JGIM) 29, no.3: 165-187. http://doi.org/10.4018/JGIM.2021050107

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Abstract

To revamp with new creative age characterized by ongoing digital transformation, more and more industries are capitalizing on digital innovation for their sustainable business growth. Drawing on a systematic literature review, thematic analysis, and using the theories of dynamic capabilities and market orientation, this research scrutinizes a systematic process for developing analytics-based data-driven innovation (DDI). Findings suggest a standardized seven-step process for DDI, including product conceptualization, data acquisition, data refinement, data storage and retrieval, distribution, presentation, and market feedback.