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

Saida Sultana · Shahriar Akter · Elias Kyriazis · Samuel Fosso Wamba

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Big Data and Business Intelligence Digital Innovation in Industries Big Data Technologies and Applications

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.

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2006Using thematic analysis in psychology 1991Firm Resources and Sustained Competitive Advantage 2004Firm resources and sustained competitive advantage 1993Strategic assets and organizational rent 1994The Capabilities of Market-Driven Organizations 2012Business Intelligence and Analytics: From Big Data to Big Impact 1996Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration 2003Understanding dynamic capabilities

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